ALBERT

Description: The Fifth Assessment Report (AR5) of the Intergovernmental Panel on Climate Change (IPCC) of the United Nations mentions that extreme rainfalls might increase their intensity and frequency in most mid-latitude locations and tropical regions by the end of this century, as a consequence of the rise of the average global surface temperature. Human action has given way to global warming which manifests with an increase in extreme rainfall. If these climatic conditions are added to the waterproofing that cities have been experiencing as a result of urban development, a scenario of growing concern for the managers of drainage systems is generated. The objective of drainage networks is preventing the accumulation of rainwater on the surface. Under the new conditions of climate change, these need to be modified and adapted to provide cities with the security they demand. The following article describes a method for flood control by using a rehabilitation model that connects the Storm Water Management Model (SWMM) 5 model with a genetic algorithm to find the best solutions to the flood problem. The final analysis is performed using the Pareto efficiency criteria. The innovation of this method is the inclusion of a local head loss in the drainage network, allowing the upstream flow to be retained by decreasing the downstream concentration time. These elements called hydraulic controls improve system performance and are installed in the initial part of some pipes coming out of storm tanks. As a case study, the developed method has been applied in a section of the drainage network of the city of Bogotá.

Description: In the foreseeable future, our electricity supply will depend mainly on RES. It can already be seen how the variability of RES is increasing uncertainty in the electricity market causing the increase of risk premium (RP), potentially leading to extreme price spikes. Market participants need to become aware of the risk level influencing the future energy price, as signaled by RP, and use the advanced RP models to mitigate those risks. Source: Mr Shoo Rayner, author of a graphical design of a wind turbine in the first picture. Abstract An important indicator of supply and demand uncertainty on electricity markets is risk premium (RP), an integral part of electricity price. The level of RP is describing the risk the market actors expect in the future due to the market uncertainties. With the electricity market price behavior rapidly changing, the rising market supply uncertainty is increasing the volatility of RP. To better understand this behavior, power market participants need new models that will efficiently use the information available in the processes driving the electricity price and RP and to explain the influence of RES uncertainties on the future RP and electricity prices. A decade ago, researchers investigating RP focused primarily on the uncertainties arising from consumption forecast and generation outages. RES share in generation mix was small and its influence on uncertainty was negligible, leading to much lower volatilities of RP than today. With the increasing influence of RES, typically exhibiting variability on a sub‐hourly level, traditional models using daily electricity price to calculate RP were becoming inadequate. In this dynamic period of electricity market transformation, this paper highlights the importance of RP signals to market actors. A stochastic method for RP calculation is discussed with the associated RP model, driven by the intraday dynamics. An example of the RP signal is presented on historical price data from the German electricity market, highlighting uncertainty pattern developed over the years. With such an approach, the market actors can adjust their trading strategies thus mitigating their market risk exposure. This article is categorized under: Energy Systems Economics 〉 Economics and Policy Energy Efficiency 〉 Economics and Policy Energy Systems Analysis 〉 Economics and Policy

Description: Wiley Interdisciplinary Reviews: Energy and Environment, Volume 8, Issue 5, September/October 2019.

Description: Prevalence of literature ‐ plastics debates (weighted). Abstract This article surveys the politics of plastics through a reading and analysis of more than 180 scientific articles in the fields of environmental science and environmental studies. Despite the many benefits of plastics, the global plastic system is increasingly being recognized as the source of severe environmental problems. Rather than orient the investigation around specific venues, levels, or architectures of governance, our survey first follows plastic through its life cycle, and then considers the major categories of plastic objects addressed in the current literature, and the different approaches taken to each category. The politics of plastics is a growing field of inquiry, with the most rapid expansion in the areas of marine pollution and microplastics. Our consideration of plastic flows reveals increasing politicization towards the latter end of the life cycle, that is, plastic as waste and pollution. Turning to plastic objects, we observe different forms of mobilization, and varying connections between flows and objects, which allow for multiple interpretations of what is at stake. In the closing section, we consider two recent trends in the plastic governance discussion that take a more holistic view of the plastic crisis: attempts to construct (a) a circular plastics economy and (b) global plastics conventions or treaties. We end the paper by highlighting the need for studies to further investigate the norms and practices that maintain the role of plastics in society, as well as the political and economic arrangements that secure its overabundance and low price. This article is categorized under: Energy Policy and Planning 〉 Economics and Policy Fossil Fuels 〉 Science and Materials Fossil Fuels 〉 Climate and Environment

Description: Outcomes of the Participation of Wind Power Producers in Balancing Markets. At present, a harmonized pan‐European electricity market (EM) is a close reality. While in day‐ahead markets (DAMs) the harmonization is at an advanced stage, in balancing markets (BMs) still exist some challenging issues, notably the remuneration of imbalances: some countries have simple and clear methods, but others consider complex methods that are not appealing to the participation of variable renewable energy (VRE). The participation of VRE in BMs is technically feasible, although with some restrictions to guarantee security and stability. Thus the economic attractiveness of these markets should be increased in order to enable full integration of VRE without feed‐in‐tariffs or other incentives. This article presents an overview of EMs, focusing on European BMs, and also investigates the benefits of the participation of wind power producers (WPPs) in BMs at both economic and technical levels. In particular, the article presents a new strategy allowing WPPs to bid in BMs. It also presents a study involving four scenarios, where WPPs participate in: (a) the DAM (baseline scenario), (b) the DAM and the automatic‐activated frequency restoration reserve market, (c) the DAM and the manually activated FRR (mFRR) market, and (d) the DAM and a 15‐min mFRR market. The simulations are performed with the agent‐based system MATREM (for Multi‐Agent TRading in EMs). For the last scenario, the results indicate an increase around 6% in the wind energy value to the market, a decrease of 12% in the total reserve used, and a decrease around 16% in the costs from the BM. This article is categorized under: Wind Power 〉 Systems and Infrastructure Wind Power 〉 Economics and Policy Energy Systems Analysis 〉 Economics and Policy

Description: Energy and power system models can be categorized into four levels based on the complexity captured in terms of planning and operation. In the past, power system planning was based on meeting the load duration curve at minimum cost. The increasing share of variable generation (VG) makes operational constraints more important in the planning problem, and there is more and more interest in considering aspects such as sufficient ramping capability, sufficient reserve procurement, power system stability, storage behavior, and the integration of other energy sectors often through demand response assets. In VG integration studies, several methods have been applied to combine the planning and operational timescales. We present a four‐level categorization for the modeling methods, in order of increasing complexity: (1a) investment model only, (1b) operational model only, (2) unidirectionally soft‐linked investment and operational models, (3a) bidirectionally soft‐linked investment and operational models, (3b) operational model with an investment update algorithm, and (4) co‐optimization of investments and operation. The review shows that using a low temporal resolution or only few representative days will not suffice in order to determine the optimal generation portfolio. In addition, considering operational effects proves to be important in order to get a more optimal generation portfolio and more realistic estimations of system costs. However, operational details appear to be less significant than the temporal representation. Furthermore, the benefits and impacts of more advanced modeling techniques on the resulting generation capacity mix significantly depend on the system properties. Thus, the choice of the model should depend on the purpose of the study as well as on system characteristics. This article is categorized under: Wind Power 〉 Systems and Infrastructure Energy Systems Analysis 〉 Economics and Policy Energy Policy and Planning 〉 Economics and Policy

Description: Least‐squares means of mean annual increment (MAI) of aboveground total (stem + branch) dry biomass and MAI of aboveground total carbon for 15 poplar clones evaluated at an industrial brownfield in Panama City, FL (planting H1). With the exception of ‘DN21’ and ‘DN31’ that are both Populus deltoides × P. nigra F1 hybrids, all clones belong to the P. deltoides genomic group. Different letters above bars within a trait represent statistically significant differences (p 〈 .05). Error bars equal one standard error of the mean. Abstract Short rotation woody crops (SRWCs) including Populus species and their hybrids (i.e., poplars) are ideal for incorporating biomass production with phytotechnologies such as phytoremediation. To integrate these applications, 15 poplar plantings from nine long‐term phytoremediation installations were sampled from 2012 to 2013 in the Midwest (Illinois, Iowa, Wisconsin) and Southeast (Alabama, Florida, North Carolina) United States. In this review, we report summary results of this sampling and how performance at each site compared with comparable phytoremediation systems in the literature. We review significant genotypic differences from each planting within the context of provisioning (i.e., biomass production) and regulating (i.e., carbon sequestration) ecosystem services and how they relate to the need for a cleaner environment during times of accelerated ecological degradation. Overall, the contaminated poplar sites provided these ecosystem services comparable to noncontaminated poplar sites used for bioenergy and biofuels feedstock production. For example, phytoremediation trees at the Midwestern sites had biomass values ranging from 4.4 to 15.5 Mg ha−1 y−1, which was ~20% less relative to bioenergy trees (p = .0938). Results were similar for diameter and carbon, with some genotype × environment interactions resulting in phytoremediation trees exhibiting substantially greater growth and productivity (i.e., +131% at one site). As illustrated in the current review, phytoremediation success can be increased with the identification and deployment of genotypes tailored to grow well and tolerate a broad diversity of contaminants (generalists) (i.e., ‘DN34’, ‘NM6’, ‘7300501’) versus those that significantly outperform their counterparts under unique site conditions (specialists) (i.e., ‘220‐5’, ‘51‐5’, ‘S13C20’). This article is categorized under: Concentrating Solar Power 〉 Climate and Environment Bioenergy 〉 Economics and Policy Bioenergy 〉 Science and Materials

Description: Inertial and primary frequency control by wind power plants in the Mexican electric power grid. Abstract Large‐scale integration of converter‐based renewable energy sources into power systems, such as wind generation, can lead to frequency stability issues due to the variable nature and lack of inertia of these technologies in combination with the gradual replacement of conventional generating units. However, wind turbine generators (WTGs) can be exploited to provide frequency support and keep system frequency stability requirements. A case study considering the Mexican Electric Power System is presented in this study to highlight both the impact of large‐scale deployment of inverter‐interfaced wind energy generation on system frequency response, and the participation of WTGs in inertial and primary frequency control (IPFC) as a mitigation approach. By incorporating synthetic inertia and droop control functions into the active power control loop of WTG converters, IPFC by wind generation is assessed for several wind shares, different active power modulation strategies based on the rate of change of frequency and frequency deviation, and several IPFC contribution levels under critical contingencies for generation outage. Simulation results show the combination of increasing share of wind energy generation in the study system and retirement of conventional generation has a clearly negative impact on system frequency dynamics. However, the incorporation of IPFC functions into wind power generators of the sample system, with appropriate control gain values, may contribute to effectively achieve an improved system performance in terms of grid frequency response under high wind power penetration scenarios. This article is characterized under: Wind Power 〉 Science and Materials Wind Power 〉 Systems and Infrastructure Energy Research & Innovation 〉 Science and Materials

Description: Policies and programs to address challenges of industrial energy efficiency in four categories: awareness, information, technical capacity, and financial availability. China's industrial sector dominates the country's total energy consumption, and improving energy efficiency in that sector is crucial to help China reach its energy and carbon dioxide emissions reduction goals. There are many energy efficiency policies in China, but the motivation and willingness of enterprises to improve energy efficiency has weakened. This article first identifies barriers that enterprises face to be self‐motivated to implement energy efficiency measures and then categorizes these barriers into four categories: awareness, information, technical capacity, and financial availability. It then reviews international policies and programs to improve energy efficiency, and evaluates how these policies have helped to address the barriers identified. We found that policies and programs in energy efficiency and carbon reduction need to go hand in hand to incentivize companies, and that those policies and programs send clearer signals and help change enterprises' decisions when they are persistent but dynamic. Our specific policy recommendations to China fall under three key categories: identification of energy efficiency potential, workforce development, and market channels for energy efficiency financing. This article is categorized under: Energy and Climate 〉 Economics and Policy Energy Efficiency 〉 Economics and Policy Energy Efficiency 〉 Climate and Environment

Description: Poplars and willows are sustainably grown to conserve or utilize water in a variety of applications. The production of short rotation woody crops (SRWCs) such as poplars and willows is a promising component of global bioenergy and phytotechnology portfolios. In addition to the provision of biomass feedstocks and pollution remediation, these trees and shrubs have been sustainably grown to conserve or utilize water in a variety of applications. Growing these woody plants for multiple uses supports many of the United Nation's Sustainable Development Goals (SDGs), especially Clean Water and Sanitation (SDG6) and Affordable and Clean Energy (SDG7). As a result, focusing on ecosystem services such as freshwater and biomass has become an important aspect of deploying these production systems across variable landscapes. The current review consists of an introduction of ecosystem services and the SDGs, as well as SRWCs and their applications. The middle section of the review contains case studies highlighting the positive water linkages of producing short rotation poplars and willows for bioenergy and phytotechnologies. The review concludes with a section that combines the common themes that are consistent among the case studies to address options for integrating new bioenergy feedstock production systems into rural and urban landscapes to promote environmental, social and economic sustainability. This article is categorized under: Bioenergy 〉 Economics and Policy Bioenergy 〉 Climate and Environment

Description: Measuring interdisciplinary understanding (MIU) framework. Abstract Our society currently faces complex ecological, social, and economic challenges that require collaborative and interdisciplinary approaches. Although interest in interdisciplinary research is growing, it is still confronted with significant obstacles stemming from difficulties in establishing a common understanding. While others have evaluated interdisciplinary in a top‐down funding‐oriented ex ante manner or a result‐oriented ex post manner, this focus paper intends to create a framework that enables the measurement of interdisciplinary understanding within a group. Therefore, using the case of the interdisciplinary Boysen‐TU Dresden Research Group, a framework for measuring interdisciplinary understanding (MIU) is presented. The basis of the framework is the development of dimensions based on the specific composition and requirements of the interdisciplinary group. With this framework, two main contributions are provided. First, interdisciplinary understanding within a research group can be measured with respect to the defined dimensions. Through discussions on the differences of the understanding of projects over the dimensions, it is possible to establish a common understanding of projects. Second, the interdisciplinarity within a group or interdisciplinary distance between two specific research projects can be evaluated in order to identify possible difficulties in understanding, as well as recognizing potentials for interdisciplinary research. The MIU framework and the dimensions established in this paper can be adapted and transferred to any interdisciplinary research group to improve joint understanding of researchers and enable them to tackle complex techno‐societal problems of the future. This article is categorized under: Energy and Climate 〉 Economics and Policy Energy Research & Innovation 〉 Economics and Policy

Description: Wiley Interdisciplinary Reviews: Energy and Environment, Volume 8, Issue 4, July/August 2019.

Description: Harmonization of European markets and expected effects of the new EC proposal on key market participants. Abstract The new proposal for regulating the European Internal Market for Electricity (EIME) can motivate the harmonization of the various National markets. The process of harmonizing the day‐ahead markets (DAMs) is at an advanced stage, with an efficiency in the use of interconnectors of 86%. However, the harmonization of both intraday (IDMs) and balancing markets (BMs) is still in its infancy, with an efficiency in the use of interconnectors of 50 and 19%, respectively. The new proposal brings new targets to DAMs, and European countries should make efforts to comply with them. The same is true for IDMs and BMs, but involving more ambitious targets, requiring higher efforts to be accomplished. Both the analysis of the various National markets (according to their compliance with the new proposal for regulating the EIME) and the advantages of the new proposal for key market participants (particularly, consumers, variable renewable generation, and conventional generation) are presented. The analysis indicates that the proposal contributes to a potential increase of the general welfare of market participants. However, some aspects of the proposal can negatively affect the revenue obtained from the National markets, notably for variable renewable generation and conventional generation. This article is categorized under: Wind Power 〉 Systems and Infrastructure Energy Policy and Planning 〉 Economics and Policy Energy Systems Analysis 〉 Economics and Policy Energy and Development 〉 Economics and Policy

Description: Ongoing changes in power systems call for enhanced transmission‐distribution coordination. Abstract This paper presents a literature review on the coordination between transmission and distribution grid operators in power systems, with particular emphasis on the provision of balancing and congestion management services. Firstly, a brief historical background is presented in order to highlight the ongoing changes current power systems are experiencing and that call for greater coordination between transmission system operators (TSO) and distribution system operators (DSO). These include the growth in distributed energy resources (DER), new roles to be adopted by both system operators (SO), and the integration of new agents such as independent aggregators. Next, the paper places its focus on a particular topic which, based on the review presented, is presumably considered as the most relevant issue requiring tighter cooperation mechanisms, that is, the procurement of balancing services from DER by TSOs whilst DSOs procures the same DER flexibility to manage local congestions. Four key elements are identified for this coordination to take place, namely (a) DER flexibility integration, (b) coordination schemes, (c) transmission‐distribution optimization, and (d) data exchange. For each one of them, the paper presents a literature review and identifies the main existing technical, economic, and regulatory barriers. These barriers include, among others, the limitation for small DER flexibility to participate in grid service markets, the challenges for independent aggregators, the technical barriers for optimizing a transmission‐distribution grid, and the lack of maturity in coordination schemes and TSO‐DSO data exchange models. This article is categorized under:  Energy Systems Analysis 〉 Systems and Infrastructure  Energy Systems Economics 〉 Economics and Policy

Description: Charging distribution networks and the thermal inertia of district heating (DH)‐connected buildings using wind power to be curtailed. Abstract Emissions reductions are often achieved through the increased share of renewable energy sources (RES) and China is the leader in the growth of RES in the power sector. This growth has led to high levels of curtailment of RES power due to insufficient reinforcement of the electricity grid to support such growth and due to competition with other power sources. Although the problem of curtailment has been alleviated in recent years, large amounts of power are still discarded, and it is important to consider how to address this problem in the short term and how much CO2e emissions could be avoided as a result. The use of district heating systems to reduce the curtailment of renewable power has seen increasing interest in recent years. Based on a review of potential energy storage in district heating, the current paper assesses the capability to use the national storage potential of district heating systems in China to reduce curtailment and to determine what effects that may have on avoiding CO2e emissions. The distribution networks and the thermal inertia of buildings connected to district heating are considered as two major forms of storage that can be “charged” using power that would otherwise be curtailed. The results show that there may be sufficient storage available to absorb all renewable power that is currently curtailed in those provinces using district heating during the heating season, resulting in avoided emissions of up to 14 MtCO2e/annum. This article is categorized under: Energy and Climate 〉 Economics and Policy Wind Power 〉 Climate and Environment Energy Infrastructure 〉 Climate and Environment Energy and Urban Design 〉 Climate and Environment

Description: The energy‐carbon‐water (ECW) nexus mechanism of a simplified economy system. Abstract The energy–carbon–water (ECW) nexus has aroused increasing attention worldwide, as it is very important for sustainable development of socioeconomic systems. Researchers conducted a literature review of existing studies on the ECW nexus in terms of concepts, research focuses, mechanisms, and methodologies. Current research on the ECW nexus mainly focuses on the ECW flow accounting, the impact assessment of ECW‐related policies or measures, and the description of the nexus characteristics. ECW‐related measures may lead to a variety of cobenefits: economic growth, pollutant reduction, water quality improvement, and the carbon–water trade‐off—that is, that the adoption of water‐saving cooling technologies (such as wet cooling) could increase energy use and carbon dioxide (CO2) emissions. ECW‐related measures could also lead to the deployment of some low‐carbon power generation technologies, such as hydro, nuclear, and biofuel that could increase power sector water use. Nexus mechanisms of existing studies are mainly aimed at a specific sector; fewer studies consider the mechanisms from an economy‐wide perspective. Integrated models, such as computable general equilibrium‐based models and input–output (IO)‐based hybrid life cycle assessment models, should be used to assess the broad socioeconomic impacts of ECW‐related measures in future, in order to inspire policymakers to design and implement effective measures for integrated ECW management. This article is categorized under: Energy and Climate 〉 Economics and Policy Concentrating Solar Power 〉 Climate and Environment

Description: The integration of flywheels or supercapacitors in existing pumped‐storage plants is economical, little intrusive, environmentally friendly, and yields an energy storage plant with all necessary features for the integration of renewable energy: fast active and reactive power response, large energy storage capacity and an extraordinary capability to withstand a vast number of charge–discharge cycles. Abstract This paper suggests the integration of fast acting energy storage systems in existing pumped‐storage power plants as a practical solution to enhance the system's frequency control. The term “fast acting energy storage” is used in the paper to refer to, in the authors' opinion, the most suitable energy storage technologies for the purpose of frequency control, that is, flywheels and supercapacitors. The paper describes the few research works that have so far dealt with the coordination of flywheels or supercapacitors and pumped‐storage or hydropower, and compare the proposed solution with the upgrade of existing pumped‐storage power plants to allow variable speed operation. To finish, the paper describes other side benefits of the proposed solution, discuss the most important barrier for its realization and summarize a few regulatory changes that have been recently implemented in a few electric power systems which provide some hope for the proposed solution to become a reality. This article is categorized under: Energy Infrastructure 〉 Systems and Infrastructure

Description: Engaging the local utility and including electrical distribution system design in district master planning can reduce costs and improve performance of sustainable urban districts with high penetrations of renewable energy, but new research tools are needed to facilitate an integrated design. Source: fujisawasst.com/EN/. Recent efforts to reduce energy consumption and greenhouse gas emissions have resulted in the development of sustainable, smart districts with highly energy efficient buildings, renewable distributed energy resources (DERs), and support for alternative modes of transportation. However, there is typically little if any coordination between the district developers and the local utility. Most attention is paid to the district's annual net load and generation without considering their instantaneous imbalance or the connecting network's state. This presents an opportunity to learn lessons from the design of distribution feeders for districts characterized by low loads and high penetrations of DERs that can be applied to the distribution grid at large. The aim of this overview is to summarize current practices in sustainable district planning as well as advances in modeling and design tools for incorporating the power distribution system into the district planning process. Recent developments in the modeling and optimization of district power systems, including their coordination with multi‐energy systems and the impact of high penetration levels of renewable energy, are introduced. Sustainable districts in England and Japan are reviewed as case studies to illustrate the extent to which distribution system planning has been considered in practice. Finally, newly developed building‐to‐grid modeling tools that can facilitate coordinated district and power system design with utility involvement are introduced, along with suggestions for future research directions. This article is categorized under: Wind Power 〉 Systems and Infrastructure Energy Policy and Planning 〉 Systems and Infrastructure Energy Efficiency 〉 Systems and Infrastructure

Description: Characteristics of the first financing round of PennSEF, the PennSEF Streetlight Program. The electricity sector is undergoing rapid and dramatic change. The momentum of sustainable energy technologies and business model innovation is giving rise to a “polycentric” framework of policy innovation and action organized by institutions that support customer choice and give customers the means to become electricity generators and service providers in their own right. These local experiments will have to deliver transformative change, flexibly address the electricity sector's legacy of political and administrative complexity, achieve scale and financial sustainability, and enable greater and wider stakeholder participation and choice. This article reviews the evidence to date of the importance of these experiments and examines three innovators—municipal utilities, community choice aggregators, and the sustainable energy utility—to gauge the capacity of pioneers to address climate‐driven and other challenges in the electricity market. This article is categorized under: Energy Efficiency 〉 Economics and Policy Energy Infrastructure 〉 Economics and Policy Energy Efficiency 〉 Systems and Infrastructure

Description: India's energy policy evolution India's Intended Nationally Determined Contributions in 2015 toward the Two‐Degree Celsius climate change goal has endorsed 15% of renewable integration in the primary energy mix by 2020. The energy space is strategy to meet the target without affecting its immediate sustainable development goals. This study documents this strategic effort by tracking the historical trajectory of energy policy planning since its independence in 1947. An objective ontological approach was adopted in reviewing the evolution of energy policy into five distinct phases. Phase I (1947–1970), focused on supply adequacy with the overall thrust on infrastructure development as the pillar of Indian economy. In Phase II (the 1970s) the focus shifted in addressing the energy access crisis. Phase III (the 1980s) was based on increment, diversification, and streamlining on supplies for energy security purposes. Phase IV (the 1990s) is the period of modernization of the overall Indian electricity system. Phase V (the 2000s) is the present phase of market transformation and climate change mitigation energy policies. A co‐assessment of India's policy to the international climate negotiations showed that India remained responsive to international climate goals. It became reactive in the planning for sustainable energy policy after its ratification of Kyoto Protocol in 2001. Since then, India has been instrumental in administering strict emission reduction norms and efficiency measures. This review concludes that the country needs to upgrade its inefficient transmission and distribution networks, which was broadly neglected. The subsidy allocations in domestic energy resources should be well‐adjusted without compromising on its social costs. This article is categorized under: Energy and Climate 〉 Economics and Policy Energy Infrastructure 〉 Climate and Environment Energy Policy and Planning 〉 Climate and Environment

Description: The real attained CO2 emission reduction in the inspected energy efficiency projects is on average 25% lower than the expected reduction. The reasons are mostly behavioral. A significant amount of financing has been available for improvements in energy efficiency in buildings in recent years. However, careful evaluation of the real impacts of the programs is still inadequate. The paper provides an insight into the relationship between the expected outcomes and the actual results of an energy efficiency program. It does so on a case example of one of the most significant energy efficiency and renewable energy sources programs in Central Europe, the Green Savings Programme. In total, 206 measures were inspected in 124 projects of the program. The analysis of the inspections showed that there is a significant difference between the expected, verified CO2 emission reduction and ex post, real attained reduction (25% on average). The reasons are partly methodical, but most can be attributed to the behavioral factors of occupants in the respective buildings. The results therefore clearly show the need to tackle the relationship between the calculated (expected) energy savings (and related CO2 emission reduction) and the real savings which are highly influenced by building users. Ex post evaluations should be done, among other things, to provide a more accurate picture regarding the member states’ energy efficiency improvement obligations. Furthermore, such evaluation also provides an essential input for further optimisation of the future energy efficiency support programs. This article is categorized under: Energy Efficiency 〉 Economics and Policy

Description: A schematic representation of biomass components, their pyrolysis products, various important aspects of kinetic studies and product characterization. Fast pyrolysis of lignocellulosic biomass is considered to be a promising thermochemical route for the production of drop‐in fuels and valuable chemicals. During the past decades, a comprehensive understanding of feedstock structure, fast pyrolysis kinetics, product distribution, and transport effects that govern the process has allowed to design better pyrolysis reactors and/or catalysts. A variety of lignocellulosic biomass feedstocks, like corn stover, pinewood, poplar, and model compounds like glucose, xylan, monolignols have been utilized to study the thermal decomposition at or close to fast pyrolysis conditions. Significant progress has been made in understanding the kinetics by developing unique setups such as drop‐tube, PHASR, and micropyrolyzer reactors in combination with the use of advanced analytical techniques such as comprehensive gas and liquid chromatography (GC, LC) with time‐of‐flight mass spectrometer (TOF‐MS). This has led to initial intrinsic kinetic models for biomass and its main components, namely cellulose, hemicellulose, and lignin, validated using experimental setups where the effects of heat and mass transfer on the performance of the process, expressed using Biot and pyrolysis numbers, are adequately negligible. Yet, not all aspects of fast pyrolysis kinetics of biomass components are equally well understood. The use of time‐resolved or multiplexed experimental techniques can further improve our understanding of reaction intermediates and their corresponding kinetic mechanisms. The novel experimental data combined with first principles based multiscale models can reshape biomass pyrolysis models and transform biomass fast pyrolysis to a more selective and energy efficient process. This article is categorized under: Energy and Climate 〉 Climate and Environment Energy Research & Innovation 〉 Science and Materials Bioenergy 〉 Science and Materials

Description: Solar irrigation pumps (SIPs) offer an unprecedented opportunity to provide irrigation access for agricultural transformation across developing countries. The study discusses 14 key determinants of economic, social, and environmental sustainability of SIPs, along with measures to ensure their sustainable deployment. Irrigation access is deemed critical to sustainable agricultural growth, which underpins the global food and livelihood security. Solar irrigation pumps (SIPs) have emerged as a promising technology to expand irrigation access and are being deployed rapidly across several developing countries. Even as the interest in SIPs is rising, the understanding about their sustainable deployment and use remains limited. Based on a detailed literature review and semi‐structured interviews of key stakeholders, we identify and discuss 14 determinants of economically viability, socially acceptability, and environmental sustainability of SIPs, under any given context. These include crop water requirement, depth of water source, solar irradiance, scale of farming, utilization factor, cost of alternatives, system quality, after‐sales service, water use efficiency, and technology awareness, among others. Drawing from the best practices and experiences in South Asia and Sub‐Saharan Africa, we also put forward key recommendations on ways to incorporate sustainability concerns in the policies and programs for SIPs deployment. The study emphasizes that policies and programs for SIPs should focus on building awareness and trust, providing need sensitive support, priortizing areas for SIPs deployment, and ensuring long‐term sustainability. This article is categorized under: Energy and Development 〉 Science and Materials Energy and Development 〉 Economics and Policy Energy and Development 〉 Systems and Infrastructure

Description: Cross‐voltage level competitive procurement of planning‐relevant reactive power resources. Transition toward high shares of power production from wind and photovoltaics (PV) brings about a substantial increase in controllable reactive power (Q). The capability to provide Q independent of active power production (24/7) is available at comparably low or even zero investment cost. Yet, this capability is not required by network connection codes and only rarely utilized, even if available. In a first step, we take an overall economic perspective and review the economic competition of 24/7 Q provision from variable renewable power plants (VRPP) with alternative Q resources. Technical restrictions to be respected are discussed, as well as the reliability requirements related to investment‐planning relevant Q provision. Competitiveness is significantly influenced by Q utilization rate and connecting voltage level. For practical implementation of 24/7 Q procurement from VRPP, its value needs to be assessed. We review possible approaches from overall economic perspective. We conclude that in operational decisions, VRPP Q should be valued at marginal cost, whereas in Q investment planning decisions, full cost should be considered. We derive the pros and cons of making 24/7 Q provision a mandatory part of network connection codes. For system operators (SOs) to integrate available capacity, regulatory acknowledgment of related revenue impact should be considered. We present possible solutions. Summarizing, the contribution presents the status quo in research on cross‐voltage level, investment‐relevant Q provision by VRPP. Using the presented methodology for value assessment, areas for further research are systematically pointed out. This article is categorized under: Wind Power 〉 Systems and Infrastructure Energy Policy and Planning 〉 Economics and Policy Photovoltaics 〉 Economics and Policy

Description: Higher demand‐side electrification increases stress on the transmission grid and causes more curtailment of variable renewable electricity production. The substitution of fossil fueled final energy consumption through electrical appliances and processes (electrification), in combination with an increased share of emission free electricity production, poses a promising deep decarbonization strategy. To reveal the effect of high demand‐side electrification rates on the transmission grid and electricity supply‐side a case‐study analysis for the German market is performed. A reference scenario with low demand‐side electrification and low grid congestion is compared to high demand‐side electrification scenarios with two different shares of renewable electricity production of total electrical load: “Elec61” and “Elec75.” The analysis shows that an increase of the electrical load from ~500 TWh to ~760 TWh leads to heightened stress for the transmission grid and therefore more curtailment in both electrification scenarios. In Elec61, which exhibits the same share of renewable electricity production as the reference scenario, the integration of 19 TWh of flexible power‐to‐heat in district heating networks reduces the market driven curtailment of renewable feed‐in, highlighting the value of flexible electrical loads for the integration of variable renewable energy sources. Although a drastic increase of installed renewable electricity production capacity occurs in Elec61 (+109 GW) and Elec75 (+178 GW) compared to the reference scenario, fossil fueled power plants are still being dispatched frequently in times of high electrical load and low renewable energy feed. In the examined scenarios, deep decarbonization through electrification was not possible because the decrease of the CO2‐coefficient of power generation resulting from an increase in the installed capacity of variable renewable energy sources was insufficient. This article is categorized under: Wind Power 〉 Systems and Infrastructure Energy and Climate 〉 Systems and Infrastructure Energy Systems Analysis 〉 Systems and Infrastructure

Description: Performance of the Korea Green Energy Growth Initiative against 2030 targets. The idea of “green growth” has received international attention for more than a decade as a promising solution to a distinctly modern problem: a century of unparalleled increases in wealth based on equally unparalleled innovations in energy technology accompanied by global environmental threats such as climate change and persistent socioeconomic inequality. The green growth premise is that this problem can be solved without surrendering continued economic growth by a redirection of human effort to invent green energy technology, green energy markets, and green energy choice. Proponents have argued that green‐energy based economic growth represents a paradigm shift bringing forth sustainable and equitable relations between environment, economy, and society. The paper reviews a decade of green energy growth strategies and practices. The Korean Green Growth Initiative (KGGI) is investigated as a case study of green energy growth operationalization. Korea’s experiment was widely hailed by international bodies such as The Organization for Economic Cooperation and Development (OECD) and United Nations Department of Economic and Social Affairs (UNDESA) for its bold attempt at paradigm shift, with the hope that, if it succeeded, countries currently on the periphery of modern development would be able to overcome conditions of poverty, environmental degradation, and political dependency. But our analysis of the Korean case questions the idea and ideology of green energy growth, demonstrating instead that KGGI was quickly coopted by the paradigm it was supposed to supplant. In this respect, one contradiction in the strategy and practice of green energy growth has been its promise to change the trajectory of modern development without requiring serious changes in modern values and ideology. This article is categorized under: Energy and Climate 〉 Economics and Policy Energy and Development 〉 Climate and Environment Energy and Development 〉 Economics and Policy

Description: The concept of decentralized energy systems needs further improvement in both literature and practice including a common understanding (i.e., consistent terminology), applications, and technical configurations. The increasing share of decentralized intermittent renewable energy reinforces the necessity of balancing local production and consumption. Decentralized energy systems, powered by renewable energy technologies and incorporating storage and conversion technologies, are promising options to cope with this challenge. Many studies have evaluated their potential contributions, but an overview of the status‐quo in both academia and practice is missing. The extant literature lacks a comprehensive review of the scientific knowledge on decentralized energy systems, partially attributed to the lack of common terminology. Additionally, it remains unclear what kind of systems are already implemented today worldwide as they have not yet been thoroughly analyzed and described. However, pilot projects provide valuable insights into future applications and operational aspects. To fill these gaps, an extensive review of the current state of literature and practice is conducted. To do so, 64 publications and 56 projects were analyzed and an overview is provided using four criteria: terminology, scope/motivation, application, and technical configuration. These criteria facilitate the understanding of decentralized energy systems needed to spur their development and diffusion. Further advancements of research and practice are discussed. For example, technological learning hinges on a common terminology and on an identification of optimal technical configurations per application. There are both avenues for future research. This article is categorized under: Energy Systems Analysis 〉 Economics and Policy Energy Infrastructure 〉 Systems and Infrastructure Energy and Urban Design 〉 Systems and Infrastructure Energy Research & Innovation 〉 Systems and Infrastructure

Description: A mechanism for seismicity induced by fluid injection operations is pore pressure increase via a diffusional process (left). This leads to a reduction in the effective normal stress on preexisting faults; allowing frictional resistance to fault sliding to be overcome. This mechanism requires a high permeable pathway from the fluid injection point to the preexisting fault. Even in the circumstances when injection fluids may be hydraulically isolated from any preexisting faults, the fault may be activated through perturbations in the stress field brought about by changes in volume or mass loading transmitted to the fault poroelastically (right: hydraulic fracturing example). Shale gas could help address the insatiable global demand for energy. However, in addition to risks of environmental pollution, the risk of induced seismicity during the hydraulic fracturing process is often considered as the major showstopper in the public acceptability of shale gas as an alternative source of fossil fuel. Other types of subsurface energy development have also demonstrated similar induced seismicity risks. This article presents an interdisciplinary review of notable cases of suspected induced seismicity relating to subsurface energy operations, covering operations for hydraulic fracturing, wastewater injection, conventional gas extraction, enhanced geothermal systems and water impoundment. Possible causal mechanisms of induced seismicity are described and illustrated, then methods to mitigate induced seismicity, encompassing regulations, including so‐called traffic light systems, monitoring and assessment, and numerical modeling approaches for predicting the occurrence of induced seismicity are outlined. Issues relating to public perception of energy technologies in regards to induced seismicity potential are also discussed. This article is categorized under: Photovoltaics 〉 Climate and Environment Fossil Fuels 〉 Climate and Environment Energy Infrastructure 〉 Economics and Policy Energy and Development 〉 Systems and Infrastructure

Description: Wiley Interdisciplinary Reviews: Energy and Environment, Volume 8, Issue 2, March/April 2019.

Description: While rapid urbanization and industrialization are strong drivers for a transition toward a resilient low‐carbon energy system, many legacy issues remain in the East and Southeast Asian energy industry. The barriers in energy transition can be removed by looking beyond the national border toward regional integration and interconnection. Abstract Energy transitions are designed to improve the resilience, sustainability, and productivity of a country's energy system, and are the key instruments to mitigating the warming climate. Countries and regions have unique circumstances when projecting energy transition pathways. Nonetheless, East Asian economies have shared opportunities and challenges. From the perspective of fuel mix, East Asia had some initial success in renewable energy development accompanied by energy efficiency improvements. Nuclear energy, although controversial, has been well developed and is continuing its advancement in East Asia. However, the dominance of coal in the energy mix has not been sufficiently addressed, mostly because of legacy issues. The region's renewable energy potential is also underdeveloped due to a mismatch between resources and energy demand. Since the region as whole is well endowed with renewable energy resources, the region's advancement in regional energy connectivity presents a valuable institutional asset to further decarbonize East Asian energy sector beyond individual nation's efforts. This article is categorized under: Energy and Climate 〉 Economics and Policy Energy Policy and Planning 〉 Economics and Policy Energy and Development 〉 Economics and Policy

Description: Forthcoming EU retail electricity market design. Abstract After a gradual process of reforms, retail electricity markets in Europe are well established. In parallel, the decarbonization agenda and rapid technological progress lead the way toward a renewable‐based and distributed electricity system, in which new business models emerge. Distributed resources, prosumers, and peer‐to‐peer trading are all part of the most likely future scenarios. The newly adopted Clean Energy Package, put forward by the European Commission in 2016, responded to the consensus that existing electricity markets needed to adapt and aimed at putting consumers at the center. But will the ongoing reforms live up to the challenges posed by the coming stages of the ongoing Green Transition? While most recent analyses focus on wholesale issues, the present review narrows this gap. We analyze the European Union (EU) retail electricity market design in isolation, but also in its interaction with the renewable energy policy. We compare the current and the forthcoming legislative framework to elucidate if the recently adopted reforms mitigate conflicts or facilitate complementarities arising from the implementation of the European energy policy framework. While the reforms remove fundamental barriers for consumer participation, several unresolved conflicts remain. Thus, looking forward, there is a significant implementation challenge. Among these are the overdue task of making competition effective, striking the right balance between the verticality and horizontality of the future retail market and confronting market reconfiguration. In this respect, the paper makes several policy recommendations aimed at EU Member States, which are also valid for any jurisdiction willing to advance a transition to renewables. This article is categorized under: Energy and Climate 〉 Economics and Policy Energy Systems Economics 〉 Economics and Policy Energy Policy and Planning 〉 Economics and Policy

Description: Wiley Interdisciplinary Reviews: Energy and Environment, Volume 8, Issue 6, November/December 2019.

Description: Health monitoring of civil and industrial structures has been gaining importance since the collapse of the bridge in Genoa (Italy). It is vital for the creation and maintenance of reliable infrastructure. Traditional manual inspections for this task are crucial but time consuming. We present a novel approach for combining Unmanned Aerial Vehicles (UAVs) and artificial intelligence to tackle the above-mentioned challenges. Modern architectures in Convolutional Neural Networks (CNNs) were adapted to the special characteristics of data streams gathered from UAV visual sensors. The approach allows for automated detection and localization of various damages to steel structures, coatings, and fasteners, e.g., cracks or corrosion, under uncertain and real-life environments. The proposed model is based on a multi-stage cascaded classifier to account for the variety of detail level from the optical sensor captured during an UAV flight. This allows for reconciliation of the characteristics of gathered image data and crucial aspects from a steel engineer’s point of view. To improve performance of the system and minimize manual data annotation, we use transfer learning based on the well-known COCO dataset combined with field inspection images. This approach provides a solid data basis for object localization and classification with state-of-the-art CNN architectures.

Description: Hadrontherapy has been constantly evolving in leaps and bounds since the 1950s, when the use of heavy particles was proposed as an alternative treatment to radiotherapy with gamma rays or electrons. The main objective of this treatment is to maximize the dose applied to the tumour, avoiding damage to the surrounding tissue. One of the keys to the success of hadrontherapy is to achieve instantaneous monitoring of the energy deposition in the environment. Since energy deposition leads to the generation of a thermoacoustic pulse, acoustic technologies have been tested with successful results. However, for this purpose, it is essential to increase the sensitivity of the sensors for the acoustical signal and, therefore, to optimize their geometry as a function of the beam that would be used. We have studied a PTZ material in volumetric and surface volumes through experimental measures and FEM methods. In this text, we start with numerical studies which determine the dependence of the thermoacoustic signal frequency with the energy and duration of the hadron beam.

Description: A full chain simulation of the acoustic hadron therapy monitoring for brain tumors is presented in this work. For the study, a proton beam of 100 MeV was considered. In the first stage, Geant4 was used to simulate the energy deposition and to study the behavior of the Bragg peak. The energy deposition in the medium produced local heating that can be considered instantaneous with respect to the hydrodynamic time scale producing a sound pressure wave. The resulting thermoacoustic signal was subsequently obtained by solving the thermoacoustic equation. The acoustic propagation was simulated by the Finite Element Method (FEM) in the brain and the skull, where a set of piezoelectric sensors were placed. Lastly, the final received signals in the sensors were processed in order to reconstruct the position of the thermal source and, thus, to determine the feasibility and accuracy of acoustic beam monitoring in hadron therapy.

Description: Three-phase induction motors (IMs) are electrical machines used on a large scale in industrial applications because they are versatile, robust and low maintenance devices. However, IMs are significantly affected when fed by unbalanced voltages. Prolonged operation under voltage unbalance (VU) conditions degrades performance and shortens machine life by producing imbalances in stator currents that abnormally raise winding temperature. With the development of new technologies and research on non-destructive techniques (NDT) for fault diagnoses in IMs, it is relevant to obtain economically accessible, efficient and reliable sensors capable of acquiring signals that allow the identification of this type of failure. The objective of this study is to evaluate the application of low-cost piezoelectric sensors in the acquisition of acoustic emission (AE) signals and the identification of VU through the analysis of short-term Fourier transform (STFT) spectrograms. The piezoelectric sensor makes NDT feasible, as it is an affordable and inexpensive component. In addition, STFT allows time-frequency analyses of acoustic emission signals. In this NDT, two sensors were coupled on both sides of an induction motor frame. The AE signals obtained during the IM operation were processed and the resulting spectrograms were analyzed to identify the different VU levels. After comparing the AE signals for faulty conditions with the signals for the IM operating at balanced voltages, it was possible to obtain a desired identification that confirmed the successful application of low-cost piezoelectric sensors for VU condition detection in three-phase induction machines.

Description: Robot mapping and exploration is basic to many robotic applications such as search and rescue operations in disaster scenarios, warehouse management, service robotics, patrolling and autonomous driving. With recent advances in robot navigation and sensor compactness, single robot systems can accurately model the environment and perform complex autonomous navigation tasks. On the other hand, multi-robot systems can speed up mapping and exploration tasks in emergency situations, such as rescue missions, by making use of distributed sensors, thereby increasing the range of exploration tasks to an extent that is not possible with a single robot. Each robot explores and maps different areas of the same environment that are finally merged and connected to make a global map. To build a map of an unknown environment, each robot must perform SLAM, or Simultaneous Localization and Mapping. A big challenge with a multi-robot SLAM system is the transfer of shared map information between multiple robots. There is a possibility of transferring individual measurement errors to the global map, resulting in excess computation and memory required to store such maps. To overcome this problem, we propose to use topological feature map representation that can store information into nodes and edges and does not have any large memory requirements. We present a combined metric-topological mapping approach to multi-robot SLAM. This method maintains a topological pose graph with sensor information stored in nodes and edges that can be optimized globally with reduced information sharing. By combining local metric and topological maps built by individual robots, the reduced graph structure can be merged and extended to map large areas effectively. To robustly merge local maps into global one, we used visual features from each robot that are matched in a distributed system. The graph node-edge structure is used for path planning and navigation. At the same time information sharing between robots results in optimized task distribution between multi-robots.

Description: Development of indoor location systems that use smartphone sensors has been a topic of interest to industry and academia. In this paper, we describe an experiment that was performed to evaluate the feasibility of creating a mobile indoor localization model based on data from participatory sensing. To achieve it, seven smartphone users used their integrated magnetometers to collected magnetic field information on a building. The data collected are utilized to train three machine learning algorithms: The k Nearest Neighbors (KNN), Decision Trees (J48), and Naïve Bayes algorithms. The performance of the algorithms was measured through the accuracy and kappa statistics. Our results indicate that it is possible to create an infrastructure-less indoor localization model at room level using data from participatory sensing. The model with the most significant performance was obtained with the KNN, since it offers an accuracy of 97.12%, while the model with the most reduced performance was Naïve Bayes, since it offers an accuracy of 50.79%.

Description: Multiphase gravity separators are widely used in the petroleum industry to separate the produced stream of oil, water and natural gas into pure (single-phase) streams. These equipment work based on the density differences of each fluid which tend to settle into layers when dwelled for some time in the separator. It is fundamental to monitor the levels of these phases inside the vessel, so that this information can be used in control strategies in order to increase the efficiency and safety of the process. In this work, we present a novel multiphase level sensor based on capacitance and inductance measurements of planar multi-electrodes and multi-coils. The sensor is low-cost, fast and does not apply ionizing radiation, being therefore simple to operate. The prototype sensor was constructed in standard printed-circuit board (PCB) technology and highly sensitive capacitance and inductance measurements are acquired with modern integrated circuit devices. Since the capacitive sensor readings depend on the water salinity, we perform simultaneous inductance measurements to compensate for such dependence. We have tested the prototype from two different approaches: varying the water salinity and for different water/oil mixtures. Preliminary results have shown the capability of the sensor to differentiate each one of the produced fluids, i.e., salty water, oil and gas, as well as the interfaces between them. A 16 electrodes capacitive-only sensor prototype was also built and tested.

Description: Wireless networks are technologies with a growing interest in the area of telecommunications, such as the case of MANETs. Despite its advantages, MANETs present several challenges in the transmission of information due to the limited bandwidth, high error rate, energy consumption restriction, and variable topologies. The transmission power can significantly influence some of the aforementioned issues. This paper proposes Density Power Control Mechanism (DPCM), which employs a cross-layering approach between AODV (Ad-hoc On-Demand Distance Vector) routing protocol and the physical layer to adapt power transmission. DPCM aims to reduce collisions, maintain or improve the performance of AODV as well as to save power in the nodes. Our results indicate that our proposal can improve the performance of the network and save power at the same time. Moreover, it is especially useful for low- and medium-density scenarios.

Description: An inertial measurement unit (IMU) typically has three accelerometers and three gyroscopes. The output of those inertial sensors is used by an inertial navigation system to calculate the navigation solution–position, velocity and attitude. Since the sensor measurements contain noise, the navigation solution drifts over time. When considering low cost sensors, multiple IMUs can be used to improve the performance of a single unit. In this paper, we describe our designed 32 multi-IMU (MIMU) architecture and present experimental results using this system. To analyze the sensory data, a dedicated software tool, capable of addressing MIMUs inputs, was developed. Using the MIMU hardware and software tool we examined and evaluated the MIMUs for: (1) navigation solution accuracy (2) sensor outlier rejection (3) stationary calibration performance (4) coarse alignment accuracy and (5) the effect of different MIMUs locations in the architecture. Our experimental results show that 32 IMUs obtained better performance than a single IMU for all testcases examined. In addition, we show that performance was improved gradually as the number of IMUs was increased in the architecture.

Description: The challenge of meeting diverse future energy demands from a range of energy vectors ‐ how should an energy modeller ‘usefully’ approach this problem? Abstract Energy system models which cover multiple vectors have become increasingly used to provide an evidence base for policy and commercial decisions in real‐world energy systems undergoing change. In particular, such models are often used to derive “optimal” pathways to decarbonization considering the planning or operation of systems with multiple technology options. This paper explores how the concept of “usefulness”—the applicability and relevance of modelling outcomes—may be used to establish criteria for modelling design and practice at the outset, and looks at the difficulties that may be faced in achieving this. The application should inform the choice of modelling framework and the manner in which tractability should be addressed and results meaningfully presented. A process of continuous engagement is proposed which guides modelling work towards “useful” outcomes, as well as mitigating the danger of results being more reflective of design choices than the properties of the real‐world systems being modeled. Because of the difficulties in maintaining and auditing complex datasets spanning expertise from multiple sectors, there is a clear role for independent data curators to facilitate rigor in model parameterization and to allow consistency between modelling efforts. Specialists from the different disciplines represented should be engaged to ensure that data have been interpreted and applied correctly. All modelling choices should be clearly documented along with advice on their possible implications in respect of use of the results. This article is categorized under: Energy Systems Analysis 〉 Systems and Infrastructure

Description: This article highlights interesting areas of high potential in the future of forecasting for wind and solar energy, including different business models in renewable energy forecasting. Abstract Forecasting for wind and solar renewable energy is becoming more important as the amount of energy generated from these sources increases. Forecast skill is improving, but so too is the way forecasts are being used. In this paper, we present a brief overview of the state‐of‐the‐art of forecasting wind and solar energy. We describe approaches in statistical and physical modeling for time scales from minutes to days ahead, for both deterministic and probabilistic forecasting. Our focus changes then to consider the future of forecasting for renewable energy. We discuss recent advances which show potential for great improvement in forecast skill. Beyond the forecast itself, we consider new products which will be required to aid decision making subject to risk constraints. Future forecast products will need to include probabilistic information, but deliver it in a way tailored to the end user and their specific decision making problems. Businesses operating in this sector may see a change in business models as more people compete in this space, with different combinations of skills, data and modeling being required for different products. The transaction of data itself may change with the adoption of blockchain technology, which could allow providers and end users to interact in a trusted, yet decentralized way. Finally, we discuss new industry requirements and challenges for scenarios with high amounts of renewable energy. New forecasting products have the potential to model the impact of renewables on the power system, and aid dispatch tools in guaranteeing system security. This article is categorized under: Energy Infrastructure 〉 Systems and Infrastructure Wind Power 〉 Systems and Infrastructure Photovoltaics 〉 Systems and Infrastructure

Description: Performance of the Korea Photovoltaic (PV) Industry. Abstract The purpose of this article is to examine the Korean photovoltaic (PV) R&D strategy and its effectiveness in helping Korean manufacturer competitiveness. The article reviewed the Korean government's PV R&D funding from 2008 to 2017 and investigated the technology readiness levels of 298 R&D projects funded by the Korean government during the same period. It is found that the Korean government followed a two‐track approach of nurturing commercialization technology to cope with rapid growth and volatility in the current global market. The effects of government support for market‐ready and next‐generation technologies in order to position the country in today's competition and to prepare it for “first mover” opportunities in emerging markets are considered. During 2008–2017, Korean manufacturers maintained a 7% of market share. Module prices, which were more than USD 6 per watt in 2000, fell to less than USD 1 in 2017. From a technical point of view, silicon‐based modules have achieved world‐class status in their efficiency. Performance of the country's nonsilicon technologies reached nearly 90% of the world's best nonsilicon products in the early 2010s, but recently, next‐generation technology development is lagging. Despite Korean PV industry's achievements, it is unclear whether Korean government PV R&D strategy affected competitiveness. Since 2013, the Korean government has sharply cut PV R&D funding. Early growth may have been affected by government support, but recent growth may be driven by corporate strategies. A significantly higher level of R&D funding may be needed for Korea's next‐generation technologies to capture “first mover” status. This article is categorized under: Energy and Climate 〉 Economics and Policy Photovoltaics 〉 Economics and Policy Energy Policy and Planning 〉 Economics and Policy

Description: Rail inspections are required and used to ensure safety and preserve the availability of railway infrastructure. According to the statistics published by railroad administrations worldwide, the transverse fissure appearing in railhead is the principal cause of rail accidents. These particular defects are initiated inside the railhead. Detection of these cracks has always been challenging because a defect signature remains mostly small until the defect size reaches a significant value. The present work deals with the theoretical analysis of an integrated contact-less system for rail diagnosis, which is based on ultrasounds. The generation of these waves was performed through non-ablative laser sources. Rotational laser vibrometry was used to achieve the reception of the echoes. Detection of flaws in the rail was monitored by considering special ultrasound wave signal based indicators. Finite element modeling of the rail system was performed, and transverse defect detection of the rail was analyzed.

Description: A Linear Fresnel Reflector (LFR) is a recent technology with good potential in small-scale solar power applications. It is composed of many long rows of mirrors that focus the sunlight onto a fixed elevated tubular receiver. Mirror segments are aligned horizontally and track the sun such that the receiver does not need to be moved. The efficiency with which the LFR can convert solar to thermal energy depends on the accuracy of the sun tracking system. To maximize the degree of sunlight capture, precise solar tracking is needed so that incident solar rays can be adequately focused to the focal point given by the location of the tubular receiver. The tilt angles of each row are relevant for the tracking controller to achieve correct positioning. Encoders are generally employed in closed-loop tracking systems as feedback signals used to inform the controller with the actual position of collector mirrors. Recently, inclinometers have begun to replace encoders as the most viable and cost-effective sensor technology solution; they offer simpler and more precise feedback, as they measure the angle of tilt with respect to gravity and provide the ability to adjust the system to the optimal angle for maximum output. This paper presents the research results on the development of remote measurements for the precise control of an LFR tracking system, by using distributed angle measurements. The applied methodology enables precision measurement LFR inclination angles through the fusion of data from multiple accelerometers, supported by low-cost wireless transceivers in a wireless sensor network, capable of exchanging information in a cloud infrastructure.

Description: Advanced ceramics are widely used in industry due to their unique properties. However, the machining of ceramic components by conventional methods is difficult due to their high level of hardness and brittleness. In this sense, laser beam machining (LBM) is presented as an alternative to conventional methods, enabling the machining of workpieces through more accurate and less invasive techniques. Despite the advantages of laser machining, the process still needs to be studied in detail, as advanced ceramic machining is considered a stochastic process. Thus, real-time monitoring systems are required in order to optimize the ceramic laser machining. Therefore, this paper proposes a novel method for monitoring the cutting kerf in the laser cutting process of ceramic components using a low-cost piezoelectric transducer (PZT) and digital signal processing. Tests were performed on the surface of an alumina ceramic workpiece under different machining conditions. The cutting kerf was measured by a digital microscope and the raw signals from the PZT transducer were collected at a sampling rate of 2 MHz. Time domain and frequency domain analyses were performed in order to find a frequency band that best correlates with the process conditions. Finally, a linear regression was calculated in order to correlate the PZT signal and the measured kerf. The results showed that the piezoelectric transducer was sensitive to the acoustic activity generated during the process, allowing the real-time monitoring of the cutting kerf. Thus, the approach proposed in this paper can be used efficiently in the monitoring of the laser cutting process.

Description: Crack initiation and propagation vary the mechanical properties of the asphalt pavement and further alter its designate function. As such, this paper describes a numerical study of a multi-layered strain sensor for the structural health monitoring (SHM) of asphalt pavement. The core of the sensor is an H-shaped Araldite GY-6010 epoxy-based structure with a set of polyvinylidene difluoride (PVDF) piezoelectric transducers in its center beam, which serve as a sensing unit, and a polyurethane foam layer at its external surface which serves as a thermal insulation layer. Sensors are coated with a thin layer of urethane casting resin to prevent the sensor from being corroded by moisture. As a proof-of-concept study, a numerical model is created in COMSOL Multiphysics to simulate the sensor-pavement interaction, in order to design the strain sensor for SHM of asphalt pavement. The results reveal that the optimum thickness of the middle polyurethane foam is 11 mm, with a ratio of the center beam/wing length of 3.2. The simulated results not only validate the feasibility of using the strain sensor for SHM (traffic load monitoring and damage detection), but also to optimize design geometry to increase the sensor sensitivity.

Description: Recently, Lidl had to set a recall action due to dangerous pieces of plastic found in the cheese products. The plastic shards, if swallowed, can cut the oral cavity or obstruct breathing. Current inspection techniques in the cheese industry are for the detection of metals using X-ray that does not offer a complete solution, as many foreign bodies can go undetected. This paper demonstrates the use of a portable real-time microwave sensing technique for the nondestructive detection of plastic in cheese. The electromagnetic (EM) patch antenna was designed and tested on five Cheddar cheese samples. Different sizes of plastic shards, 1 × 10 mm, 2 × 15 mm and 5 × 20 mm, were inserted into the samples, and measurements were taken with and without foreign objects. The initial results demonstrated that the patch antenna at 4GHz was able to detect and classify Polyvinyl Chloride (PVC) shards with an R2 = 0.95. The initial results are promising, and further investigation will be undertaken to detect different shapes and types of foreign objects in food products.

Description: Data collection plays an important role in pavement health monitoring, which is usually performed using costly devices, including point-based lasers and laser scanners. The main aim of this study measures pavement characteristics using an RGB-D sensor. By recording the depth and color images simultaneously, the sensor benefits the data fusion. By mounting the sensor on a moving cart, and fixing the vertical distance from the ground, data were collected along 100 m of the asphalt pavement using MATLAB. At each stop point, multiple frames were collected, the central region of interests was stored, and a low pass filter was subsequently applied to the data. To create a 3D surface of the pavement, sensor calibration was performed to map the RGB and depth infrared images. The SURF (speeded-up robust features) and MSAC (M-estimator sample consensus) algorithms were used to match the stitched images along the longitudinal profile. A case study of measuring roughness and rutting is applied to test the validity of the method. The result confirms that the proposed system is capable of measuring such indices with acceptable accuracy.

Description: Human-robot collaboration combines the extended capabilities of humans and robots to create a more inclusive and human-centered production system in the future. However, human safety is the primary concern for manufacturing industries. Therefore, real-time motion tracking is necessary to identify if the human worker body parts enter the restricted working space solely dedicated to the robot. Tracking these motions using decentralized and different tracking systems requires a generic model controller and consistent motion exchanging formats. In this work, our task is to investigate a concept for a unified real-time motion tracking for human-robot collaboration. In this regard, a low cost and game-based motion tracking system, e.g., HTC Vive, is utilized to capture human motion by mapping into a digital human model in the Unity3D environment. In this context, the human model is described using a biomechanical model that comprises joint segments defined by position and orientation. Concerning robot motion tracking, a unified robot description format is used to describe the kinematic trees. Finally, a concept of assembly operation that involves snap joining is simulated to analyze the performance of the system in real-time capability. The distribution of joint variables in spatial-space and time-space is analyzed. The results suggest that real-time tracking in human-robot collaborative assembly environments can be considered to maximize the safety of the human worker. However, the accuracy and reliability of the system regarding system disturbances need to be justified.

Description: The current technological trends associated with Industry 4.0 and the Internet of Things (IoT) require an interconnected network of sensor nodes providing distributed information on the environment in order to enable intelligent action to be taken by control systems. Typical examples are the condition monitoring of machines or industrial equipment, or the detection of hazardous environmental conditions (e.g., in chemical plants). Such sensors need to be distributed in areas that are difficult to reach for wiring or to exchange batteries, and thus need to be self-powered and energy-independent. In this work, we provide an overview of possible strategies to realise a positive energy balance in autonomous sensor nodes without the use of batteries, focussing on gas sensors for air-quality monitoring as a use case. We will first present ways to reduce the power budget of sensing elements using self-heating nanowires made of CMOS-compatible metal oxides. We will then concentrate on energy harvesting and storage, showing state-of-the-art possibilities in both cases: broadband piezoelectric harvesters, perovskite-based photovoltaic elements, and high-energy density ceramic capacitors. Finally, we will discuss the possibility of integrating all sensor node elements in a single device using advanced interconnect technologies.

Description: Wind energy is one of the most promising forms of renewable energy. For the constant evolution of power generation technology, the use of sensors is fundamental to the development of wind turbine emulators. A wind turbine emulator allows tests and evaluations of a wind power system, regardless of weather conditions. Therefore, to further improve this technology, this work focuses on the application of a torque transducer and a rotary encoder for the implementation of a closed-loop wind turbine emulator. The sensors provide the torque and speed feedback signals to the computational model so that the model could plot the power curves and produce the set point voltage used by a variable-frequency drive (VFD) to control a three-phase induction motor (TIM). The emulator was implemented using a control algorithm designed on LabVIEW, with an NI 6211 for the data acquisition. Finally, the system emulates the behaviour of a wind turbine, considering the variations in wind speed, aerodynamic phenomena, load effects, and pitch angle. Experimental results demonstrated the effectiveness of using the TIM-VFD assembly for emulating a wind turbine since the wind turbine emulator behaved like a wind turbine in real-time.

Description: Epilepsy affects approximately 67 million people worldwide with up to 75% from developing countries. Diagnosing epilepsy using electroencephalogram (EEG) is complicated due to its poor signal-to-noise ratio, high sensitivity to various forms of artifacts, and low spatial resolution. Laplacian EEG signal via novel and noninvasive tripolar concentric ring electrodes (tEEG) is superior to EEG via conventional disc electrodes due to its unique capabilities, which allow automatic attenuation of common movement and muscle artifacts. In this work, we apply exponentially embedded family (EEF) to show feasibility of automatic detection of gamma band high-frequency oscillations (HFOs) in tEEG data from two human patients with epilepsy as a step toward the ultimate goal of using the automatically detected HFOs as auxiliary features for seizure onset detection to improve diagnostic yield of tEEG for epilepsy. Obtained preliminary results suggest the potential of the approach and feasibility of detecting HFOs in tEEG data using the EEF based detector with high accuracy. Further investigation on a larger dataset is needed for a conclusive proof.

Description: Smartphone mode classification is essential to many applications, such as daily life monitoring, healthcare, and indoor positioning. In the latter, it was shown that knowledge of the smartphone location on pedestrians can improve the positioning accuracy. Most of the research conducted in this field is focused on pedestrian motion in a horizontal plane. In this research, we use supervised machine learning techniques to recognize and classify the smartphone mode (text, talk, pocket and swing) while accounting for the movement up and downstairs. We distinguish between the going up and the down motion, each with four different smartphone modes, making eight states in total. This classification is based on the use of an optimal set of sensors that varies according to battery life and the energy consumption of each sensor. The classifier was trained and tested on a dataset constructed from multiple user measurements (total of 94 min) to achieve robustness. This provided an accuracy of more than 90% in the cross validation method and 91.5% if the texting mode is excluded. When considering only stairs motion, regardless of the direction, the accuracy improves to 97%. These results may assist many algorithms, mainly in pedestrian dead reckoning, in improving a variety of challenges such as speed and step length estimation and cumulative error reduction.

Description: The reuse of shipping containers in architecture has grown in global popularity. However, few studies focus on understanding its thermodynamic behavior. The present study addresses, through numerical simulations, the transitory behavior of a typical house built with containers under different climates, both cold and warm. We examined container with different build construction and observed their effect, from completely naked to those that are coated with materials of different insulation and thermal inertia. Additionally, orientation and other design resources, such as height with respect to the ground, shadow elements, and the position of the windows, were considered. With all these multiparametric studies, quantitative conclusions were obtained that can be considered in design.

Description: Beetroot (Beta vulgaris L.) was subjected to extraction procedures in order to obtain the respective extracts containing the natural dyes and subjected to cytotoxicity assays in AGS cell line. Encapsulation of the extracts in nanosystems based on soybean lecithin and maltodextrin was performed. Lyophilized extracts before and after encapsulation in maltodextrin were applied in the formulation of leg ham and used in pilot scale of production. The colour of ham samples from the different assays was evaluated visually and by colorimetry.

Description: We present microwave-assisted synthesis and in vitro acetylcholinesterase inhibition of di-PRLC4OAzo, a new azoderivative designed on the basis of aza-stilbene active compounds, already reported by the group. From the total series of azoderivatives synthetized, di-PRLC4OAzo showed the powerful in vitro enzymatic response for its (E) isomer (IC50: 1.08 µM) by Ellman’s assay, beside a stable photostationary state monitored by UV/Vis absorption spectroscopy, indicating it might be an efficient photo-responsible probe to remote control the activity of the enzyme.

Description: A serie of 2-tetrazolylmethyl-2,3,4,9-tetrahydro-1H-β-carbolines were synthesized via a one pot Ugi-azide/Pictet–Spengler process under mild ultrasound-assisted conditions. The products containing two privileged heterocyclic frameworks: 1,5-disubstituted-1H-tetrazole and tetrahydro-β-carboline, which are present in a variety of bioactive compounds and commercial drugs.

Description: In this article, a new perspective on the Kauzmann point is presented. The “ideal glass transition” that occurs at the Kauzmann temperature is the point at which the configurational entropy of an undercooled metastable liquid equals that of its crystalline counterpart. We model solidifying liquids by using a quaternion orientational order parameter and find that the Kauzmann point is a critical point that exists to separate crystalline and non-crystalline solid states. We identify the Kauzmann point as a first-order critical point, and suggest that it belongs to quaternion ordered systems that exist in four- or three-dimensions. This “Kauzmann critical point” can be considered to be a higher-dimensional analogue to the superfluid-to-Mott insulator quantum phase transition that occurs in two- and one-dimensional complex ordered systems. Such critical points are driven by tuning a non-thermal frustration parameter, and result due to characteristic softening of a `Higgs’ type mode that corresponds to amplitude fluctuations of the order parameter. The first-order nature of the finite temperature Kauzmann critical point is a consequence of the discrete change of the topology of the ground state manifold of the quaternion order parameter field that applies to crystalline and non-crystalline solids.

Description: Metal-organic frameworks are a class of attractive materials for fluorescent sensing. Here, we report the exploration of fluorescent Zn-based amine/azine-functionalized MOF, TMU-17-NH2, ([Zn(NH2-BDC)(4-bpdb)].2DMF; NH2-BDC = amino-1,4-benzenedicarboxylic acid, 4-bpdb = 1,4-bis(4-pyridyl)-2,3-diaza-2,3-butadiene) for highly selective and sensitive detection of Fe3+ in DMF (N,N-dimethylformamide) solution. TMU-17-NH2 shows fast recognition of Fe3+ ions with a response time of

Description: Systemic risks have to be vigilantly guided against at all times in order to prevent their contagion across stock markets. New policies also may not work as desired and even induce shocks to market, especially those emerging ones. Therefore, timely detection of systemic risks and policy-induced shocks is crucial to safeguard the health of stock markets. In this paper, we show that the relative entropy or Kullback–Liebler divergence can be used to identify systemic risks and policy-induced shocks in stock markets. Concretely, we analyzed the minutely data of two stock indices, the Dow Jones Industrial Average (DJIA) and the Shanghai Stock Exchange (SSE) Composite Index, and examined the temporal variation of relative entropy for them. We show that clustered peaks in relative entropy curves can accurately identify the timing of the 2007–2008 global financial crisis and its precursors, and the 2015 stock crashes in China. Moreover, a sharpest needle-like peak in relative entropy curves, especially for the SSE market, always served as a precursor of an unusual market, a strong bull market or a bubble, thus possessing a certain ability of forewarning.

Description: Soil lead contamination is an environmental health risk that greatly affects children in Chattanooga, Tennessee. The Southside Chattanooga Lead Superfund Site was added to the National Priorities List in late 2018 by the Environmental Protection Agency (EPA). The EPA has designated the clean-up threshold for soil lead contamination to be equal to or over 360 parts per million. For the EPA to conduct soil testing and proceed with clean-up, a signed access authorization letter from the tenant or property owner must be submitted. As of 7 May 2019, there are still 4371 properties to test with an estimated 1100 expected to be above the remediation threshold. Despite mailing the letters and having several public meetings, the rate of return is approximately thirty percent for access authorization forms. To increase the response rate, local non-profit agencies, the University of Tennessee at Chattanooga (UTC) Lions Club, and the UTC Master’s in Public Health program have been involved in educating the community. Efforts include community health fairs, grant-funded community-based blood lead testing for children, and a door-to-door canvassing campaign where residents are informed of the issue, provided with educational materials, and asked to sign and return access authorization letters to the EPA. The impact of community engagement is measured by the number/proportion of residents engaged, the number of signed authorization forms submitted, and the number of children tested for elevated blood lead levels. This poster presentation will discuss lead contamination in Chattanooga, and the results of our engagement work in the community.

Description: The essential oils (EOs) from the leaves of Schinus areira and one of its components, globulol, were studied for their antioxidant, antimutagenic and antipromutagenic activities. The chemical composition of the EOs obtained using hydrodistillation was determined using gas chromatography-mass spectrometry (GC-MS), and fractionated using reversed phase high performance liquid chromatography (RP-HPLC). The active compound (16.61%) isolated was identified by comparison of its 1H and 13C NMR spectroscopy with those reported in the literature. The antioxidant activity of the EOs and globulol were determined using two methods: crocin bleaching inhibition (Trolox Equivalent Value, TEV Krel = 1.16 ± 0.11 vs. 1.24 ± 0.22) and scavenging of the DPPH radical (IC50 = 38.75 ± 2.5 μg/mL vs. 5.60 ± 0.9 μg/mL). The antimutagenic and antipromutagenic activities were evaluated in vitro and ex vivo, using the Ames assay with five strains of Salmonella typhimurium with and without exogenous metabolic activation (rat liver fraction S9), against different mutagens. The result determined that globulol and EOs of S. areira at the applied doses do not exhibit any mutagenic effect and showed the highest antioxidant activity.

Description: A serie of novel 3-tetrazolylmethyl-4H-chromen-4-ones were synthesized via Ugi-azide reaction under mild ultrasound-assisted conditions (room temperature, EtOH, 10% mol ZnO nanoparticles). The products containing two privileged heterocyclic frameworks: 1,5- disubstituted-1H-tetrazole and 3-substituted-4H-chromen chromen-4-ones, which are present in a variety of bioactive compounds and commercial drugs

Description: Currently, the mineral industry makes iron ore beneficiation processes in humid or natural moisture. Excessive moisture in iron ore can affect the beneficiation process, causing loss of productivity and transport issues, as well as reducing the efficiency of dewatering subprocesses and safety. The traditional technic for measuring iron ore moisture is the standard oven method, which is very accurate, but not very representative. Furthermore, it has a high time response: up to 24 h for each mineral sample. Consequently, corrective and preventive actions to the process become inefficient. Alternative technics, such as the microwave method, perform online moisture measurements but with low accuracy. Recently, we developed a high accuracy capacitive sensor for measuring ore moisture but not online (bench device). This paper refers to the development of a capacitive, non-invasive, coplanar-electrode transducer for iron ore moisture measurement, designed for online applications. To achieve this, we constructed a signal conditioning system, based on an 8-bit microcontroller and a driven shield for the sensor element. The system transmits the processed data via radio frequency to a computer. Moreover, it applies a statistical filter to the measurements, based on standard deviation and moving average, as a way for minimizing electromagnetic interference. The statical calibration results reached a coefficient of determination of 98.41%. The coplanar, non-invasive approach of the transducer offers the advantage of preserving the physical integrity of the sensor electrodes as well as a future online application.

Description: The latest advances in the different Industry 4.0 technologies have enabled the automation and optimization of complex tasks of production processes thanks to their ability to monitor and track the state of physical elements like machinery, environmental sensors/actuators or industrial operators. This paper focuses on the latter and presents the design and evaluation of a system for monitoring industrial workers that provides a near real-time decentralized response system aimed at reacting and tracing events that affect operator personal safety and health. Such a monitoring system is based on the information collected from sensors encapsulated in IoT wearables that are used to measure both personal and environmental data. The communications architecture relies on LoRaWAN, an LPWAN (Low-Power Wide-Area Network) technology that offers good reliability in harsh communications environments and that provides relatively long distance communications with low-energy consumption. Specifically, each wearable sends the collected information (e.g., heart rate, altitude, external temperature, gas concentration, location) from the sensors to the nearest LoRaWAN gateway, which is transmitted to a pool of nodes where information is stored in a distributed manner. Such a decentralized system allows for providing information redundancy and guarantees its availability as long as there is an operative node. In addition, the proposed system is able to store and to process the collected data through smart contracts in a blockchain, which eliminate the need for a central backend and ensure the traceability and immutability of such data in order to share them with third parties (e.g., insurance companies or medical services).

Description: Green infrastructures can provide multiple benefits and play an important role in cities’ resilience to extreme stormwater events caused by climate change. Additionally, these techniques can contribute to the protection of transport infrastructures, averting major environmental and economical adversities. Stormwater can be treated through several processes, some processes being more effective than others for specific contaminants. A review of some of the most commonly used green infrastructures (GI) for stormwater management in urban environments was carried out, with emphasis on their efficiency in reducing peak flow rates, runoff volumes and the following pollutants: total suspended solids, heavy metals, total phosphorus and total nitrogen. The GI studied were green roofs, bioretention systems, filter strips, vegetated swales and trenches. In addition to the advantages in the urban water cycle, benefits of amenity and ecosystem services of these GI have also been identified. The discussion of the results and the comparative analysis of GI performance were carried out taking advantage of a table that summarizes the range of percentages of GI efficiency obtained in various studies for the different functions.

Description: This proceeding shows the results of the investigation of the techniques of the integration, management, and visualization of massive data from the digitalization of environmental and procedural parameters of facilities that operate in the marine environment. The work focuses on three main lines: (1) research on the development of a cloud-based system for big data, which allows the hosting of the data generated by different devices to be monitored (GPS, sounds, vibrations, video, temperature, emissions, consumption, power, etc.); (2) the implementation of a first layer of analysis and visualization of information; and (3) big data analytics research for the post-processing of information. The studies will be applied to underwater noise monitoring. With this, progress has been made in another of the pillars of Web 4.0—the use of context information—as the application is in charge of intelligently processing the data of the different variables together although they are not, in principle, directly related.

Description: The subsea transmission main (TM) of Trieste, Italy, plays a crucial role in the water supply system managed by AcegasApsAmga SpA (Hera Group). With the aim of implementing a systematic inspection procedure (at present divers are used for periodic surveys) AcegasApsAmga SpA decided to proceed with Transient Test-Based Techniques (TTBTs). In this paper, the results of preliminary transient tests generated by means of the existing devices (the first option to be considered within TTBTs) are discussed and possible alternatives are highlighted.

Description: Recent development dynamics of urban centers forced administrations to deal more frequently with problems linked to the inability of traditional sewer systems to manage rainwater in a sustainable and effective manner. Currently, several laws require compliance with the quantitative and qualitative stormwater limits to be discharged into watercourses but, in parallel with a “regulatory” approach, integrated strategies are increasingly being developed. A fundamental role is carried out by Sustainable Drainage Systems (SuDS), whose basic principle is the management of rainwater at the source, through the implementation of prevention, mitigation and treatment strategies. This study, starting from a project proposal made by different Italian firms and funded by PoliS-Lombardia, aims to assess the benefits deriving from the widespread application of SuDS in the Sesto Ulteriano industrial area, through a comparison between a scenario that represents the current configuration of the drainage network, and an ideal scenario where SuDS are taken into consideration. SWMM5 software was used, in order to simulate the behavior of the drainage network in contexts without and with SuDS, after the construction of the synthetic rainfall data sets. Although only event scale simulations have been conducted so far, the encouraging results suggest that these systems really contribute can to mitigating the effects of flooding in urban areas.

Description: The effluent of tanneries is a hazardous waste and a combination of physical-chemical and biological techniques is required for its treatment. As a result of the previous processes, a sludge with high chromium content is produced. So, the aim of this study is the hydrometallurgical recovery of chromium in the context of a circular economy. According to chemical characterization, the only form of metal that existed in the sludge was the trivalent, while its content was up to 14.8% w/w. Among the examined acids, the highest efficiency in Cr(III) leaching was achieved by the H2SO4 (93%), due to the formation of the soluble CrSO4+. Regarding the step of precipitation, no significant varions were observed between the two alkaline medias that were tested, namely NaOH and Ca(OH)2.

Description: The importance of identifying the areas vulnerable for both floods and flash-floods is an important component of risk management. The assessment of vulnerable areas is a major challenge in the scientific world. Adaptation and mitigation have generally been treated as two separate issues, both in public politics and in practice, in which mitigation is seen as the attenuation of the cause, and studies of adaption look into dealing with the consequences of climate change. Studies on the impact of climate change on flood risk are mostly conducted at the river basin or regional scale. Remote sensing and GIS technologies, together with the latest modelling techniques, can contribute to our ability to predict and manage floods. Various methods are commonly used to map flood sensitivity. Recent methods such as multicriteria evaluation, decision tree analysis (DT), fuzzy theory, weight of samples (WoE), artificial neural networks (ANN), frequency ratio (FR) and logistic regression (LR) approaches have been widely used by many researchers.

Description: The current approach to stormwater management should focus on dealing with water on its source. The Sustainable Urban Drainage Systems (SuDS) promotes runoff peak flow and volume attenuation, load removal while providing amenites and biodiversities but can be difficult to apply in developed urban centers. An infiltration-exfiltration system (IES) placed on road gutters can function on receiving runoff from roads and directing them to the sewers system reducing peak flow and volume. This research follows up a full-scale test of an IES installed in São Paulo, Brazil. The IES has 49 × 1880 m dimension and a cross-section of 49 × 30 cm with a pervious concrete surface layer. The pervious concrete showed mechanical results acceptable for a low vehicular traffic and infiltration rate that allows water infiltration. Rainfall-runoff modeling showed that the proposed IES had a low effect on runoff peak flow and volume attenuation. A deeper gravel layers depth and outlet flow restrictor would improve performance. The proposed IES function on avoid ponding, promoting water treatment, and reducing inlet maintenance.

Description: Water pollution is a critical environmental issue nowadays. One major problem is the pollution of freshwaters by pollutants of low concentrations (ng/L–μg/L), known as micropollutants. The most promising techniques for micropollutants degradation are Advanced Oxidation Processes (AOPs). Heterogeneous catalytic ozonation is among them, and recent studies have shown that it can be an efficient water treatment technique. The aim of this study is to evaluate the catalytic activity of five minerals (anatase, dolomite, kaolin, talc and zeolite) on the ozonation of small concentrations of p-CBA at pH 7 by batch mode experiments. p-CBA was employed as a model compound for evaluation of single and catalytic ozonation performance, because it cannot be efficiently removed by direct ozonation (kO3 〈 0.15 M−1s−1), while it has high reactivity with hydroxyl radicals (k·OH = 5×109 M−1s−1). It was found that all applied solid materials can be characterized as catalysts, except kaolin, theuse of which presented almost the same performance with single ozonation. The best results were obtained by zeolite and dolomite (〉99.4%) within 15 min reaction/oxidation time. These materials were neutrally (PZC = 6.8) and positively (PZC = 8.9) charged, respectively, during the oxidation process (pH 7), favoring the contact of micropollutant and ozone with the catalysts’ surface. On the other hand, the addition of anatase and talc in the ozonation system resulted in 97.5% and 98.5% p-CBA degradation, respectively, due to their slightly negative surface charge throughout the reaction. Conclusively, the experimental results indicated that the performance of heterogeneous catalytic ozonation is strongly depending on the surface charge of the solid materials (catalysts).

Description: According to a recent report by World Health Organization, the countries which still have limited access to water for drinking purposes are mainly those in the Sub-Saharan region. (Potential) water sources for drinking needs may contain different contaminants. In this context, the current study consists in an overview of the quality of surface water and groundwater in the Republic of South Africa (RSA) and Mozambique (MZ) and provides the variability ranges of the concentrations of the main pollutants in the two countries. Chemical and physical characteristics and concentrations of macropollutants, inorganic compounds (metals) and selected microorganisms were collected for surface water and groundwater and compared with the standards for drinking water set in the two countries. It was found that in surface water, microorganisms were always at very high concentrations. In addition, nickel (in RSA) and boron and chlorine (in MZ) were the most critical compounds. It emerged that in groundwater, arsenic, lead and chlorine (in RSA) and boron, sodium and chlorine (in MZ) were the main critical pollutants. Adequate treatments in the construction of new drinking water plants in rural areas should be selected on the basis of these most critical compounds and their observed variability over time.

Description: Silica gel was used as an adsorbent for dyes in aqueous solutions. Afterwards, the silica gel with the adsorbed dye was heated to 600 °C, at which the dye combusted, leaving behind clean silica gel. This silica gel can be reused in the adsorption process. The operation leaves behind little waste products. It is an optimal procedure for educational and other research laboratories which are working with biological stains, food colorants and some non-commercial dyes.

Description: Over the last 30 years, constructed wetlands (CWs) have been used as an alternative, cost-efficient way of treating wastewater, often in combination with conventional wastewater technologies. When CWs are attached at the end of conventional wastewater treatment plants, they treat the effluent and thus provide a polishing step. However, recent studies have shown that when CWs are used as the main wastewater treatment method for the agricultural reuse of effluents, they perform poorly on meeting the accepted limit of microbial contamination. Moreover, CWs are increasingly used within the scope of the circular economy and water reuse applications. Therefore, there is a need for a comprehensive exploration of the performance of CWs on pathogen removal. This paper explores relevant case studies regarding pathogen removal from constructed wetlands to create a comprehensive dataset that provides a complete overview of CWs performance under various conditions. After a systematic literature review, a total of 48 case studies were qualified for both qualitative and quantitative analyses. From the dataset, the general performance, optimal conditions, and knowledge gaps were identified. The review confirmed that constructed wetlands (as a standalone treatment) cannot meet the accepted limits of pathogen removal. However, they can be a credible choice for wastewater polishing when they are combined with conventional wastewater treatment systems. Regarding the most common indicators that were recorded, the removal of Escherichia coli ranged between 0.01–5.6 log; the removal of total and fecal coliforms was 0.2–5.32 log and 0.07–6.08 log, respectively; while the removal of fecal streptococci was 0.2–5.2 log. The great variability of pathogen removal indicates that the complexity of CWs makes it difficult to draw robust conclusions regarding their removal efficiency. Potential correlations were identified between influent and effluent concentrations, as well as between log removal and hydraulic characteristics. Additionally, no correlations between pathogen removal and temperature/climatic zones were found since average pathogen removal per country showed high variation throughout the various climatic zones. The dataset can be used as a benchmark of CWs’ performance as a barrier against the spreading of pathogens in the environment. The knowledge gaps identified in this review can provide direction for further research. Finally, a potential meta-analysis of the dataset using statistical analysis can pave the way for a better understanding of the design and operational parameters of CWs in order to fine-tune and quantify the factors that influence the performance of these systems.

Description: The evolving climate conditions contribute to increase flooding risk in urban areas. Green roofs are effective tools for controlling and managing stormwater runoff. With the aim to prevent these damaging events, an accurate modelling of the response of green roofs to storm events becomes essential. The goal of this research is to compare the accuracy of two hydrological models in predicting the behavior of two green roof test beds in terms of runoff production. The test beds are located in the campus of University of Salerno, in a typical Mediterranean climate and they differ in the composition of the drainage layer. The selected models are the Storm Water management model (SWMM) model and the Nash model. They have been calibrated against hourly data of 25 rainfall-runoff events observed at the experimental site and compared using a number of goodness of fit indexes. The Nash cascade model aims to be a very simple but effective approach. No substantial differences were observed in the behavior of the two green roof plots, though they differ in their design characteristics. Finally, the existence of a relationship between the errors and the rainfall characteristics has been found.

Description: Advanced ceramics are widely used in industry due to their unique properties. However, the machining of ceramic components by conventional methods is difficult due to their high level of hardness and brittleness. In this sense, laser beam machining (LBM) is presented as an alternative to conventional methods, enabling the machining of workpieces through more accurate and less invasive techniques. Despite the advantages of laser machining, the process still needs to be studied in detail, as advanced ceramic machining is considered a stochastic process. Thus, real-time monitoring systems are required in order to optimize the ceramic laser machining. Therefore, this paper proposes a novel method for monitoring the cutting kerf in the laser cutting process of ceramic components using a low-cost piezoelectric transducer (PZT) and digital signal processing. Tests were performed on the surface of an alumina ceramic workpiece under different machining conditions. The cutting kerf was measured by a digital microscope and the raw signals from the PZT transducer were collected at a sampling rate of 2 MHz. Time domain and frequency domain analyses were performed in order to find a frequency band that best correlates with the process conditions. Finally, a linear regression was calculated in order to correlate the PZT signal and the measured kerf. The results showed that the piezoelectric transducer was sensitive to the acoustic activity generated during the process, allowing the real-time monitoring of the cutting kerf. Thus, the approach proposed in this paper can be used efficiently in the monitoring of the laser cutting process.

Description: Bimolecular nucleophilic substitution (SN2) reaction is one of the most frequently processes chosen as model mechanism to introduce undergraduate chemistry students to computational chemistry methodology. In this work, we performed a computational analysis for the ionic SN2 reaction, where the nucleophile charged (X−; X=F, Cl, Br, I) attacks the carbon atom of the substrate (CH3Cl) through a backside pathway, and simultaneously, the leaving group is displaced (Cl−). The calculations were performed applying DFT methods with the Gaussian09 program, the B3LYP functional, the 6-31+G* basis set for all atoms except iodine (6-311G*), and the solvents effects (acetonitrile and cyclohexane) were evaluated with the PCM model. We evaluated the potential energy surface (PES) for the mentioned reaction considering the reactants, the formation of an initial complex between the nucleophile and the substrate, the transition state, a final complex where the leaving group is still bound to the substrate and the products. We analyzed the atomic charge (ESP) and the bond distance throughout the process. Gas phase and solvent studies were performed in order to analyze the solvation effects on the reactivity of the different nucleophiles. We observed that increasing solvent polarity, decreases reaction rates. On the other hand, we thought it would be enriching, to carry out a reactivity analysis from the point of view of molecular orbitals. Therefore, we analyzed the MOs HOMO and the MOs LUMO of the different stationary states on PES, both in a vacuum (gas phase) and in acetonitrile as the solvent.

Description: In this study, a novel porphyrin-based metal–organic framework (Co-Por MOF) was successfully synthesized by a simple one-step solvothermal method. We report a metal–organic framework based on the covalent interaction of an organic linker, 5,10,15,20-tetrakis(4-carboxyphenyl) porphyrin (TCPP) with cobalt clusters. The properties of this material were analyzed by powder X-ray diffraction (XRD), ultraviolet visible adsorption spectroscopy (UV–Vis), Fourier-transform infrared spectroscopy (FTIR), and differential reflectance spectroscopy (DRS).

Description: A novel microwave high-resolution near-field non-destructive testing technique is proposed and experimentally evaluated in reflectometry imaging scenarios involving planar metal surfaces. Traditionally, microwave reflectometry does not provide high dynamic contrast between the defect and background material in the case of metal structures due to intrinsically high reflection magnitude from the metal surfaces masking defect a microwave signature. A high-Q resonant sensor based on the loaded aperture is designed to interact very strongly even with small defects on the metal surface providing very high two-dimensional spatial resolution of approximately one tenth of a wavelength, λ, at λ/20–λ/10 standoff distance. Experimental results demonstrate a defect-to-background contrast greater than 5 dB amplitude and 50° phase in raw microwave data. To further enhance the spatial resolution and defect contrast, a phase-modulated near field imaging technique is proposed and experimentally evaluated in the case of a defected metal plate. This technique is based on fast variation of the reflection phase in the narrow frequency band around the resonance, which essentially enables elimination of background a microwave signature from the reflected signal. The proposed imaging technique should find applications in non-destructive surface testing and evaluation of metal and alloy structures.

Description: In the present work we applied the nonequilibrium thermodynamic theory in the analysis of the dielectric breakdown (DB) process. As the tree channel front moves, the intense field near the front moves electrons and ions irreversibly in the region beyond the tree channel tips where electromechanical, thermal and chemical effects cause irreversible damage and, from the nonequilibrium thermodynamic viewpoint, entropy production. From the nonequilibrium thermodynamics analysis, the entropy production is due to the product of fluxes Ji and conjugated forces Xi: σ = ∑iJiXi ≥ 0. We consider that the coupling between fluxes can describe the dielectric breakdown in solids as a phenomenon of transport of heat, mass and electric charge.

Description: The spatial organization and the topological organization of cities have a great influence on the lives of their inhabitants, including mobility efficiency. Entropy has been often adopted for the characterization of diverse natural and human-made systems and structures. In this work, we apply the exponential of entropy (evenness) to characterize the uniformity of city blocks. It is suggested that this measurement is related to several properties of real cities, such as mobility. We consider several real-world cities, from which the logarithm of the average shortest path length is also calculated and compared with the evenness of the city blocks. Several interesting results have been found, as discussed in the article.

Description: Mangrove forests serve as an ecosystem stabilizer since they play an important role in providing habitats for many terrestrial and aquatic species along with a huge capability of carbon sequestration and absorbing greenhouse gases. The process of conversion of carbon dioxide into biomass is very rapid in mangrove forests. Mangroves play a crucial role in protecting the human settlement and arresting shoreline erosion by reducing wave height to a great extent, as they form a natural barricade against high sea tides and windstorms. In most cases, human settlement in the vicinity of mangrove forests has affected the eco-system of the forest and placed them under environmental pressure. Since, a continuous mapping, monitoring, and preservation of coastal mangroves may help in climate resilience, a mangrove land cover extraction method using remotely sensed L-band full-pol UAVSAR data (acquired on 25 February 2016) based on Entropy (H) and Anisotropy (A) concepts has therefore been proposed in this study. The k-Mean clustering has been applied to the subsetted (1-Entropy) * (Anisotropy) image generated by PolSARpro_v5.0 software’s H/A/Alpha Decomposition. The mangrove land cover of the study area was extracted to be 116.07 Km2 using k-Mean clustering and validated with the mangrove land cover area provided by Global Mangrove Watch (GMW) data.

Description: In recent years, geologists have put in a lot of effort trying to study the evolution of Earth using different techniques studying rocks, gases, and water at different channels like mantle, lithosphere, and atmosphere. Some of the methods include estimation of heat flux between the atmosphere and sea ice, modeling global temperature changes, and groundwater monitoring networks. That being said, algorithms involving the study of Earth’s evolution have been a debated topic for decades. In addition, there is distinct research on the mantle, lithosphere, and atmosphere using isotopic fractionation, which this paper will take into consideration to form genes at the former stage. This factor of isotopic fractionation could be molded in QGA to study the Earth’s evolution. We combined these factors because the gases containing these isotopes move from mantle to lithosphere or atmosphere through gaps or volcanic eruptions contributing to it. We are likely to use the Rb/Sr and Sm/Nd ratios to study the evolution of these channels. This paper, in general, provides the idea of gathering some information about temperature changes by using isotopic ratios as chromosomes, in QGA the chromosomes depict the characteristic of a generation. Here these ratios depict the temperature characteristic and other steps of QGA would be molded to study these ratios in the form of temperature changes, which would further signify the evolution of Earth based on the study that temperature changes with the change in isotopic ratios. This paper will collect these distinct studies and embed them into an upgraded quantum genetic algorithm called Quantum Genetic Terrain Algorithm or Quantum GTA.

Description: It has been conjectured that the origin of the fundamental molecules of life, their proliferation over the surface of Earth, and their complexation through time, are examples of photochemical dissipative structuring, dissipative proliferation, and dissipative selection, respectively, arising out of the nonequilibrium conditions created on Earth’s surface by the solar photon spectrum. Here I describe the nonequilibrium thermodynamics and the photochemical mechanisms involved in the synthesis and evolution of the fundamental molecules of life from simpler more common precursor molecules under the long wavelength UVC and UVB solar photons prevailing at Earth’s surface during the Archean. Dissipative structuring through photochemical mechanisms leads to carbon based UVC pigments with peaked conical intersections which endow them with a large photon disipative capacity (broad wavelength absorption and rapid radiationless dexcitation). Dissipative proliferation occurs when the photochemical dissipative structuring becomes autocatalytic. Dissipative selection arises when fluctuations lead the system to new stationary states (corresponding to different molecular concentration profiles) of greater dissipative capacity as predicted by the universal evolution criterion of Classical Irreversible Thermodynamic theory established by Onsager, Glansdorff, and Prigogine. An example of the UV photochemical dissipative structuring, proliferation, and selection of the nucleobase adenine from an aqueous solution of HCN under UVC light is given.

Description: Type 2 diabetes mellitus (T2DM) has reached epidemic proportions. […]

Description: The KM3NeT deep-sea neutrino telescope will use thousands of Digital Optical Modules (DOMs) forming a 3D array to detect the Cherenkov’s light produced by the particles generated after a neutrino interaction in the medium. The DOMs are arranged in Detection Units (DUs), structures anchored and maintained vertical by buoyancy each one containing 18 DOMs at different height. The DOMs are, thus, subject to movements due to sea currents. For a correct reconstruction of events detected by the telescope, it is necessary to monitor the position of each DOM with 10 cm accuracy. For this, an Acoustic Positioning System (APS) with a piezo-ceramic transducer installed in each DOM and a long baseline of acoustic transmitters and receivers on the seabed is used. Besides, there is a system of compass/accelerometers in the DOMs to determine their orientation. Then, a mechanical model is used to reconstruct the shape of the DU taking as input the information from the positioning sensors and using the sea current velocity as free parameter of the DU Line Fit method. The mechanical equations consider the buoyancy and the drag force of any item in the DU line. This work describes the data process of the different sensors and systems to obtain the fit shape of DUs, the situation for the first DUs installed as an example and to study the viability and define the full process to apply in KM3NeT.

Description: Humanity’s growing long-term energy demand will be the opportunity for new energy generation sources. In this scenario, the use of hydrogen as an energy source has become an interesting alternative to energy production, as the use of fossil fuels can lead to harmful consequences, such as the emission of greenhouse gases. This paper presents the development of a low-cost instrumentation system for monitoring the temperature, current, voltage, and gas flow rate of a dry electrolytic cell. Through the electrolysis process, the cell generates a hydrogen-rich gas which is used as an additive in an internal combustion engine to reduce pollutant gas emissions and primary fuel consumption. The measured variables are presented as a function of the time to analyze the behavior of the electrolyzer. The main advance reported in this work is related to the use of a low-cost sensor for a hydrogen-rich gas flow measurement, in which calibration was performed indirectly using a rotameter as a reference. The calibration curve adjusted to the experimental data by linear regression presented a coefficient of determination of 0.9957. Thus, the use of the low-cost sensor is a feasible alternative for measuring the electrolysis gas generated by the cell.

Description: This research paper presents the design and implementation of an internet of things-based (IoT) smart framework for human heartbeat rate monitoring and control system. A comprehensive study of various techniques and technologies that are used in controlling the heartbeat rate is explored. The proposed system was designed and implemented on a breadboard with the various system components that are assembled, connected and tasted. Experimental results obtained from the implemented prototype were found to be accurate, as the system was able to sense and read the heartbeat rate of its user and transmit the sensed data through the internet. The system components were soldered on a breadboard, and cased inside a plastic container with the heart pulse sensor stretched, so as to be clipped on the fingertip of the system’s user. Experimental results demonstrate that the resting heartbeat rate of children below the age of 17 is between 65 to 115 beats per minute (bpm) and the resting heartbeat rate of an adult between the ages of 17 to 60 is 60 to 100 bpm. In addition, the resting heartbeat rate of old people who are 60 years old and above, their heartbeat rate is between 65 to 120 bpm. These findings are in agreement with the state-of-the-art in the medical field. Furthermore, this research paper presents an approach that is flexible, reliable, and confidential for heartbeat rate monitoring and control system using sensor network and IoT technology which can be deployed to the medical field to assist the medical practitioners in doing their work easily.

Description: Over the decades, visual inspection has been adopted as a means to monitor infrastructure health. While visual inspection provides insights on a bridge’s condition, it has been generally agreed that it is insufficient and inefficient. This has called for the creation of autonomous, robust, continuous, and quantitative structural health monitoring (SHM) systems to detect potential deficiencies in an early stage, and monitor future condition. Various methods have been explored that associate changes in condition with changes in the structure’s vibration characteristics. These methods have been mostly tested on laboratory specimens experiencing simulated damage. There is need for extending validation of these SHM methods on in-situ structures experiencing real damage under operational and environmental conditions. This paper summarizes a full-scale experiment exploring bridge damage detection effectiveness under variable traffic loads. Three different types of damage were introduced into a full-scale, bridge deck mock-up. These included crash-induced bridge barrier damage, controlled barrier damage, and damage to the deck slab. At the end of each introduced damage case, the bridge’s response to the multiple passages was recorded using specific vehicles specifications. Data was extracted and analyzed to identify damage using principal component analysis (PCA) and independent component analysis (ICA) as damage-sensitive features. The extracted damage features were thereafter used as input for unsupervised learning (novelty detection). One interesting observation was how PCA revealed possibly significant damage after a crash, which under visual inspection appeared to be minor. Novelty detection using PCA as its damage feature was shown to provide robust damage detection irrespective of load, speed variation, and signal noise levels.

Description: A novel method for electromagnetic (EM) characterization of engineered artificial materials such as biomaterials, nanomaterials, and composite materials is proposed and experimentally evaluated in this paper. The method is based on resonance transmission properties of capacitively loaded apertures in conductive screens. The advantage of this new method over the existing techniques (free space, loaded waveguide, microstrip and coplanar waveguide resonators, coaxial probe, etc.) is three-fold: (i) resonance EM field enhancement inside the loaded aperture leads to very high sensitivity and therefore accuracy of EM parameters de-embedding, (ii) only small thin samples of material under test are required (with a sample area substantially smaller than squared wavelength of radiation, ~0.01 λ2), (iii) the method is easily scalable over the frequency and wavelength and based on relatively simple permittivity and permeability de-embedding procedure. The experimental setup in the microwave S-band (2–3 GHz) is based on two dipole antennas, capacitive aperture in the conductive screen, unloaded and loaded with material under test, and vector network analyzer (VNA) for signal generation and data acquisition. Analytical de-embedding procedure is developed and applied to the characterization of carbon nanotube (CNT) material microwave absorption. It is demonstrated that the method offers very high accuracy in material characterization based on minimal material samples.

Description: The evolution of wireless communications has led to the adoption of a wide range of applications and utilities not only by the general public but also by administrative authorities. Consequently, the huge growth of new city services requires in some specific cases the construction of underground tunnels in order to reduce visual impact within the city center, as well as enabling the maintenance and operation works of utilities. One of the main challenges is that, inherently, underground service tunnels lack coverage from exterior wireless systems, such as mobile networks or municipal WLAN networks, which can be potentially dangerous for maintenance personnel working within the tunnels. In this work, wireless channel characterization for urban tunnel scenarios will be analyzed based on the assessment of LoRaWAN and ZigBee technologies operating at 868 MHz. For this purpose, a real urban utility tunnel has been modeled and simulated by means of an in-house 3D ray launching code and compared with experimental measurements, showing good agreement. The singularity and complexity of the limited tunnel dimensions and the inclusion of additional elements such as service trays, user pathways, and handrails have been considered. Results provide an adequate radio planning approach for the deployment of wireless systems in urban utility scenarios, with optimal coverage and enhanced quality of service. Besides, in order to have access to the data obtained by the potential WSN deployed within the tunnels, a solution to store such information in a cloud is included in the study.

Description: In recent years, the advancement of the microelectronics industry has allowed for a major expansion in the development of sensor-based equipment and applications, driven primarily by the cost reduction of micro-electro-mechanical systems (MEMS) devices. Currently, using this type of component, it is feasible to develop cost-effective systems aimed at early detection of failures in electrical machines and, in special cases, three-phase induction motors (TIM). These devices, coupled with predictive maintenance records, can prevent unexpected shutdowns due to malfunctions and signal the need for actions to extend the life cycle of the equipment. This is a relevant topic considering that the industrial sector is increasingly seeking for solutions based on non-destructive techniques (NDT) for preventive and predictive fault diagnosis. In this scenario, the objective of this work is to evaluate the application of a low-cost MEMS accelerometer to identify insulation failures in stator windings through vibration analysis. For this purpose, two MEMS accelerometers were coupled on either side of the frame of a TIM. Then, vibration signals were acquired for different types and levels of insulation failures. The data obtained were processed using different metrics such as root mean square (RMS), kurtosis, and skewness. The results allowed us to identify the insulation faults applied to the TIM, confirming the feasibility of applying the low-cost MEMS accelerometer in the vibration analysis for fault diagnosis.

Description: Chemical oxygen demand (COD) is a widely used parameter in analyzing and controlling the degree of pollution in water. Methods of analysis based on electrochemical sensors are increasingly being used for COD quantitation because they could be simple, accurate, sensitive and environmentally friendly. Electro-oxidizing the organic contaminants to completely transform them into CO2 and H2O is considered the best method for COD estimation using sensors. In this sense, copper electrodes have been reported based on the fact that copper in alkaline media acts as a powerful electrocatalyst for oxidation of aminoacids and carbohydrates, which are believed to be the major culprits of organic pollution. In this work, three kinds of copper/copper oxide electrodes were studied that employed the cyclic voltammetry technique: electrodeposited copper nanoparticle electrode, copper nanoparticle–graphite composite electrode and copper oxide nanoparticle–graphite composite electrode. Actual COD estimations are based on the measurements of oxidation currents of organic compounds. Glucose, potassium hydrogen phthalate and ethylene glycol were chosen to be the standard substances to observe the responses, and to correlate the current intensity vs. the COD values. The performed calibrations showed that glucose and ethylene glycol can be oxidized by these three electrodes, as the current intensity increased along with increasing concentrations. However, only the electrodeposited copper nanoparticle electrode showed the ability to oxidize potassium hydrogen phthalate. Besides, the obtained voltammetric profiles presented different shapes with the tested organic compounds, suggesting this can be used as a potential fingerprint for distinguishing the organic compounds. Ongoing work is focused on optimizing measuring conditions and detecting the COD values of real samples.

Description: For several years, the requirements on miniaturization of electronic implants with application in functional electrostimulation have been increasing, while functionality and reliability should not be impaired. One solution concept is to use neither active electronic components nor sensors or batteries. Instead, the functionalities are ensured by the use of intrinsic nonlinear properties of the already used components and energy is transferred by inductive coupling. In this paper, ceramic capacitors are investigated as a first step towards exploiting the nonlinear characteristics of ferroelectric materials. The ceramic capacitors are characterized by simulation and measurements. The modeling is carried out in Mathcad Prime 3.1 and ANSYS 2019 R2 Simplorer and different solvers are compared for exemplary calculations. Finally, a measurement setup is realized to validate the models. Calculations show that the trapezoid method with a number of 500 k points in the given solution interval is best suited for ANSYS. In Mathcad, the Adams, Bulirsch–Stoer, Backward Differentiation Formula, Radau5, and fourth order Runge–Kutta methods with an adaptive step width and a resolution of 50 k points are the most suitable. The nonlinear properties of ferroelectric materials in ceramic capacitors modeled with these methods using ANSYS and Mathcad show small and equal deviation from the measurements.