ALBERT

Description: Hybrid microgrids, integrating renewable energy sources and energy storage, are key in extending energy access in the remote areas of developing countries, in a sustainably way and in providing a good quality of service. Their extensive development faces a financing gap, having a high capital expenditure (CAPEX) also due to high storage costs. In the present work, a case study of a Ugandan microgrid was used to compare various battery technologies employed on their own and in a combination with a flywheel, in terms of their durability and the overall levelized cost of energy (LCOE) of the plant. Simulations show how hybrid storage configurations result in a lower LCOE for the current load profile of the microgrid and even more so for two reference residential and industrial load scenarios, suggesting this would remain the best solution even accounting for future socio-economic development. The resulting LCOE for hybrid storage configurations is lower than the average values reported for microgrid projects and represents a promising solution to speed up the development of such electrification initiatives.

Description: This work aims at investigating the possibility of a wireless sensor network powered by an energy harvesting technology, such as a microbial fuel cell (MFC). An MFC is a bioreactor that transforms energy stored in chemical bonds of organic compounds into electrical energy. This process takes place through catalytic reactions of microorganisms under anaerobic conditions. An anode chamber together with a cathode chamber composes a conventional MFC reactor. The protons generated in the anode chamber are then transferred into the cathode chamber through a proton exchange membrane (PEM). A possible option is to use the soil itself as the membrane. In this case, we are referring to, more properly, a terrestrial microbial fuel cell (TMFC). This research examines the sustainability of a wireless sensor network powered by TMFC for land monitoring and precision agriculture. Acting on several factors, such as pH, temperature, humidity and type of soil used, we obtained minimum performance requirements in terms of the output power of the TMFC. In order to identify some of the different network node configurations and to compare the resulting performance, we investigated the energy consumption of the core components of a node, e.g., the transceiver and microcontroller, looking for the best performance.

Description: This study develops a sustainable housing model for the Mosquitia region of Honduras, aimed at improving the living conditions of indigenous communities and reducing their vulnerability to the effects of climate change. The improved housing efficiency and resilience will contribute to strengthen sanitation and hygiene, improve the living comfort and reduce environmental impact, particularly focusing on preserving the forest biodiversity. The project was developed following the criteria of environmental, technical, social and economic sustainability to propose a shared model, reproducible by the beneficiaries living in different kinds of Mosquitian ecosystems. Increased building efficiency is obtained through optimization of construction techniques and improvement of materials’ performances. The main material of the proposed dwelling is wood, coherently with the “Miskita” tradition; the increase of its durability, which is obtained by proper seasoning and protection from atmospheric agents and parasites, contributes to the optimization of the use of this natural resource and to reducing the impact on deforestation, which threatens forest biodiversity. The data collection campaign, conducted before developing the housing model design and which has aimed at obtaining information on technical and social aspects related to residences’ welfare and health conditions, has highlighted the great importance of improving the construction model. Despite the advance in sanitary conditions and the economic level, the data collection campaign revealed that even the most developed communities amongst those visited have been perpetrating substantial construction errors, which reduce the resilience of structures to extreme natural phenomena, such as tropical storms and hurricanes, which frequently affect the Mosquitia region. This unexpected discovery increased the importance of housing model design in order to correct these improper construction techniques and avoid their application in the newly-started village growth.

Description: In order to successfully deploy a large number of decentralized energy systems in developing countries, it is necessary to standardize effective methodologies and procedures to develop off-grid/mini-grid systems. Considering that the energy need assessment provides inputs and assumptions used in business modelling and mini-grid design, the accuracy of its results directly affects the technical and financial feasibility studies. Thus, the approach for applying a proven methodology for the energy need assessment of rural communities is aimed at obtaining reliable input data for the mini-grid development. This helps in reducing both the financial challenges by mitigating the uncertainties in electricity demand and the technical challenges by contributing to adequately size off-grid power generation systems, with a view to boost toward a common overall objective of mini-grid’s optimization methods and tools. Hence, taking into consideration that target communities differ in terms of needs and context conditions, the proposed paper describes an inclusive methodology that can be adapted case-by-case. It provides an effective applied solution the lack of proven guidelines from project developers or literature, giving priority to data collection methods able to achieve a large sample representative of the market, with high accuracy in estimating the energy consumptions from electricity substitutes.

Description: The aim of this work was the evaluation of the catalytic steam reforming of a gaseous fuel obtained by steam biomass gasification to convert topping atmosphere residue (TAR) and CH4 and to produce pure H2 by means of a CO2 sorbent. This experimental work deals with the demonstration of the practical feasibility of such concepts, using a real woodgas obtained from fluidized bed steam gasification of hazelnut shells. This study evaluates the use of a commercial Ni catalyst and calcined dolomite (CaO/MgO). The bed material simultaneously acts as reforming catalyst and CO2 sorbent. The experimental investigations have been carried out in a fixed bed micro-reactor rig using a slipstream from the gasifier to evaluate gas cleaning and upgrading options. The reforming/sorption tests were carried out at 650 °C while regeneration of the sorbent was carried out at 850 °C in a nitrogen environment. Both combinations of catalyst and sorbent are very effective in TAR and CH4 removal, with conversions near 100%, while the simultaneous CO2 sorption effectively enhances the water gas shift reaction producing a gas with a hydrogen volume fraction of over 90%. Multicycle tests of reforming/CO2 capture and regeneration were performed to verify the stability of the catalysts and sorbents to remove TAR and capture CO2 during the duty cycle.

Description: Energies, Vol. 10, Pages 2041: Energy Production Analysis and Optimization of Mini-Grid in Remote Areas: The Case Study of Habaswein, Kenya Energies doi: 10.3390/en10122041 Authors: Andrea Micangeli Riccardo Del Citto Isaac Nzue Kiva Simone Giovanni Santori Valeria Gambino Jeremiah Kiplagat Daniele Viganò Davide Fioriti Davide Poli Rural electrification in remote areas of developing countries has several challenges which hinder energy access to the population. For instance, the extension of the national grid to provide electricity in these areas is largely not viable. The Kenyan Government has put a target to achieve universal energy access by the year 2020. To realize this objective, the focus of the program is being shifted to establishing off-grid power stations in rural areas. Among rural areas to be electrified is Habaswein, which is a settlement in Kenya’s northeastern region without connection to the national power grid, and where Kenya Power installed a stand-alone hybrid mini-grid. Based on field observations, power generation data analysis, evaluation of the potential energy resources and simulations, this research intends to evaluate the performance of the Habaswein mini-grid and optimize the existing hybrid generation system to enhance its reliability and reduce the operation costs. The result will be a suggestion of how Kenyan rural areas could be sustainably electrified by using renewable energy based off-grid power stations. It will contribute to bridge the current research gap in this area, and it will be a vital tool to researchers, implementers and the policy makers in energy sector.

Description: The present paper proposes and describes a new method, called L2A (listen-to-apprise), conceived of in order to improve the commitment of all the participants involved in an educational process specifically dedicated to sustainability and the green economy. The first stage consists in listening to the students and, when possible, in listening to the environment, the people, and the territory, while, in the second stage, the acquired information is used to exploit everyone’s talents and to achieve the maximum advantage and satisfaction for all. The first phase of L2A is mainly dedicated to listening to the students via the submission of an on-line questionnaire that measures their learning preferences, self-efficacy and sensitivity to the themes of sustainability and the green economy. The investigation has been extended from Italy to Honduras, where the authors are involved in the development of major projects concerning sustainability. The results of the survey have been analyzed by means of standard significance and correlation analysis, and therefore, significant differences among the groups and correlations within each group have been detected. The results have been discussed in order to explain how the L2A method works and how useful and powerful a tool it could be to improve teaching, learning and practical activities.

Description: Recent natural and human-induced emergencies have highlighted the vulnerability of the built environment. In order to immediately answer to people’s needs while managing an emergency, any intervention should be more proactive and take into account renewable technologies that can be applied in anemergency situation. Very few examples of renewable energy systems in emergency situations are presented in the literature and this gap needs to be filled. This paper presents the results of a project on Storage Integrated Solar Thermal Collectors, specifically studied for this kind of situations, carried out during the post-emergency and rehabilitation phases, after the earthquake in Abruzzi (2009). The overall objective of the project was to promote the advance and innovation of sustainable energy systems for the participatory use of renewable sources in post-emergency and rehabilitation phases. To raise the awareness and study the impact on social perception of renewable energy use, a special program was launched by CIRPS (Inter University Research Center on Sustainable Development of “Sapienza” University of Rome) along with L’Aquila municipality within the local population, just a few days after the earthquake. A “learning by doing” methodology was applied to carry out a participatory project, involving the local population and civil society organizations. Conclusions about the analysis of the project outcomes are presented and a set of measures aiming at increasing the renewable energy rates of displaced camps and rehabilitation phase are finally proposed.

Description: The lack of electricity access is increasingly concentrated in rural areas of developing countries, in which mini-grids are often a suitable solution; however, given the high risks, it is crucial to minimize costs. This paper aims at analyzing existing methodologies for the optimal design of mini-grids combined with different operating strategies. Typical system operations, like the load-following (LFS) and cycle charging (CCS) strategies, are compared with the more demanding predictive strategies based on Mixed-Integer Linear Programming (MILP). The problem is formulated and solved with Particle Swarm Optimization (PSO), so to simulate traditional and predictive operating strategies. Two reformulations based on the proposed Search Space Update are also detailed and compared with the so-called one-shot MILP model, which is able to con-jointly optimize both the design and the operation of the system, in order to reduce computational requirements with the predictive strategy. The results, tailored with data from a rural mini-grid in Kenya, highlight that heuristic methodologies can perform better than the traditional MILP approach, both in terms of optimality and computational time, especially when advanced operating strategies are considered. Conventional operating strategies (LFS or CCS) appear to be sub-optimal, but require very little computational requirements, which makes them suitable for preliminary designs.