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  • optimization  (322)
  • MDPI - Multidisciplinary Digital Publishing Institute  (322)
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  • English  (322)
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  • 1
    Publication Date: 2024-04-14
    Description: Optimization is considered as a decision-making process for getting the most out of available resources for the best attainable results. Many real-world problems are multi-objective or multi-attribute problems that naturally involve several competing objectives that need to be optimized simultaneously, while respecting some constraints or involving selection among feasible discrete alternatives. In this Reprint of the Special Issue, 19 research papers co-authored by 88 researchers from 14 different countries explore aspects of multi-objective or multi-attribute modeling and optimization in crisp or uncertain environments by suggesting multiple-attribute decision-making (MADM) and multi-objective decision-making (MODM) approaches. The papers elaborate upon the approaches of state-of-the-art case studies in selected areas of applications related to sustainable development decision aiding in engineering and management, including construction, transportation, infrastructure development, production, and organization management.
    Keywords: QA75.5-76.95 ; T58.5-58.64 ; artificial neural network ; sustainability hierarchy ; expert ; Rough Hamy aggregator ; sustainable solution ; crank–slider ; technology selection problem ; AHP ; bus pass ; optimization ; discrete time/cost trade-off ; Rough WASPAS ; hybrid multi-criteria decision making (MCDM) ; travel times ; extended Tomada de Decisão Interativa Multicritério (TODIM) ; bi-level programming ; multi-objective evolutionary algorithms ; project scheduling ; WASPAS ; port scheduling ; rehydration ; sustainable transport policy ; gold mines ; hybrid mathematical model ; sustainable developments ; straw bales ; group decision making ; contractor ; Total Interpretive Structural Modeling (TISM) ; MULTIMOORA ; building investment project ; heuristics ; cleaner production (CP) ; particle swarm optimization (PSO) ; optimization study ; critical information infrastructures ; bi-objective optimization ; dynamic analysis ; location-allocation problem ; probabilistic linguistic term sets (PLTSs) ; drying ; multiple objective optimization ; multi-objective decision-making (MODM) ; ranking ; hierarchical SWARA ; choice ; linguistic hesitant fuzzy set and Standard variance ; multiple-attribute decision-making (MADM) ; project ; sustainable energy evaluation ; emission of pollutants ; genetic algorithm ; ARAS-G ; multi-purpose system ; renewable energy ; assessment ; hospital evaluation ; bat algorithm ; multiple-criteria decision-making ; comfort of use of buildings ; energy efficiency ; healthcare facility ; conceptual framework ; hybrid expert system ; engineering ; sustainability ; verbal analysis ; sustainable energy developments ; sustainable development ; hybrid ; public transport ; water resource management ; compacted clay ; multiple criteria decision making (MCDM) ; MCDM ; particle swarm optimization algorithm ; sustainable traffic ; single-cylinder engine ; Rough BWM ; policy measures ; apple ; clay blocks ; historic buildings ; hesitant fuzzy set ; construction ; TOPSIS-GM ; roundabout ; fuzzy ; sustainable transport ; surface transport ; grey ; Multiple Attribute Decision Making (MADM) ; WSM ; ecological building ; management ; Geomean ; SWARA ; vibration suppression ; organizations ; innovation in transport ; risk ; berth-quay crane joint scheduling ; cost calculation ; multiple criteria decision aid ; thema EDItEUR::U Computing and Information Technology::UY Computer science
    Language: English
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  • 2
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-14
    Description: Collectively working robot teams can solve a problem more efficiently than a single robot, while also providing robustness and flexibility to the group. Swarm robotics model is a key component of a cooperative algorithm that controls the behaviors and interactions of all individuals. The robots in the swarm should have some basic functions, such as sensing, communicating, and monitoring, and satisfy the following properties:
    Keywords: QA75.5-76.95 ; T58.5-58.64 ; n/a ; self-organization ; signal source localization ; multi-robot system ; sensor deployment ; parallel technique ; shape normalization ; genetic algorithm ; multiple robots ; optimization ; improved potential field ; optimal configuration ; autonomous docking ; asymmetrical interaction ; comparison ; behaviors ; patterns ; self-assembly robots ; congestion control ; surface-water environment ; target recognition ; coordinate motion ; UAV swarms ; formation reconfiguration ; swarm robotics ; swarm intelligence ; artificial bee colony algorithm ; obstacle avoidance ; fish swarm optimization ; search algorithm ; robotics ; time-difference-of-arrival (TDOA) ; formation ; mobile robots ; formation control ; meta-heuristic ; event-triggered communication ; search ; virtual structure ; 3D model identification ; surveillance ; event-driven coverage ; scale-invariant feature transform ; system stability ; Swarm intelligence algorithm ; bionic intelligent algorithm ; unmanned aerial vehicle ; underwater environment ; artificial flora (AF) algorithm ; swarm behavior ; weighted implicit shape representation ; Cramer–Rao low bound (CRLB) ; environmental perception ; particle swarm optimization ; modular robots ; cooperative target hunting ; virtual linkage ; multi-AUV ; consensus control ; panoramic view ; nonlinear disturbance observer ; sliding mode controller ; path optimization ; Swarm Chemistry ; multi-agents ; thema EDItEUR::U Computing and Information Technology::UY Computer science
    Language: English
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  • 3
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: The Special Issue “Assessment and Nonlinear Modeling of Wave, Tidal, and Wind Energy Converters and Turbines” contributes original research to stimulate the continuing progress of the offshore renewable energy (ORE) field, with a focus on state-of-the-art numerical approaches developed for the design and analysis of ORE devices. Particularly, this collection provides new methodologies, analytical/numerical tools, and theoretical methods that deal with engineering problems in the ORE field of wave, wind, and current structures. This Special Issue covers a wide range of multidisciplinary aspects, such as the 1) study of generalized interaction wake model systems with elm variation for offshore wind farms; 2) a flower pollination method based on global maximum power point tracking strategy for point-absorbing type wave energy converters; 3) performance optimization of a Kirsten–Boeing turbine using a metamodel based on neural networks coupled with CFD; 4) proposal of a novel semi-submersible floating wind turbine platform composed of inclined columns and multi-segmented mooring lines; 5) reduction of tower fatigue through blade back twist and active pitch-to-stall control strategy for a semi-submersible floating offshore wind turbine; 6) assessment of primary energy conversion of a closed-circuit OWC wave energy converter; 7) development and validation of a wave-to-wire model for two types of OWC wave energy converters; 8) assessment of a hydrokinetic energy converter based on vortex-induced angular oscillations of a cylinder; 9) application of wave-turbulence decomposition methods on a tidal energy site assessment; 10) parametric study for an oscillating water column wave energy conversion system installed on a breakwater; 11) optimal dimensions of a semisubmersible floating platform for a 10 MW wind turbine; 12) fatigue life assessment for power cables floating in offshore wind turbines.
    Keywords: off-shore wind farms (OSWFs) ; wake model ; wind turbine (WT) ; Extreme Learning Machine (ELM) ; wind power (WP) ; large-eddy simulation (LES) ; point-absorbing ; wave energy converter (WEC) ; maximum power point tracking (MPPT) ; flower pollination algorithm (FPA) ; power take-off (PTO) ; hill-climbing method ; Kirsten–Boeing ; vertical axis turbine ; optimization ; neural nets ; Tensorflow ; ANSYS CFX ; metamodeling ; FOWT ; multi-segmented mooring line ; inclined columns ; semi-submersible ; AFWT ; floating offshore wind turbine (FOWT) ; pitch-to-stall ; blade back twist ; tower fore–aft moments ; negative damping ; blade flapwise moment ; tower axial fatigue life ; wave energy ; oscillating water column ; tank testing ; valves ; air compressibility ; air turbine ; wave-to-wire model ; energy harnessing ; energy converter ; flow-induced oscillations ; vortex-induced vibration ; flow–structure interaction ; hydrodynamics ; vortex shedding ; cylinder wake ; tidal energy ; site assessment ; wave-current interaction ; turbulence ; integral length scales ; wave-turbulence decomposition ; OWC ; wave power converting system ; parametric study ; caisson breakwater application ; floating offshore wind turbines ; frequency domain model ; semisubmersible platform ; 10 MW wind turbines ; large floating platform ; platform optimization ; wind energy ; floating offshore wind turbine ; dynamic analysis ; fatigue life assessment ; flexible power cables ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
    Language: English
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  • 4
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: Mobile robotics is a challenging field with great potential. It covers disciplines including electrical engineering, mechanical engineering, computer science, cognitive science, and social science. It is essential to the design of automated robots, in combination with artificial intelligence, vision, and sensor technologies. Mobile robots are widely used for surveillance, guidance, transportation and entertainment tasks, as well as medical applications. This Special Issue intends to concentrate on recent developments concerning mobile robots and the research surrounding them to enhance studies on the fundamental problems observed in the robots. Various multidisciplinary approaches and integrative contributions including navigation, learning and adaptation, networked system, biologically inspired robots and cognitive methods are welcome contributions to this Special Issue, both from a research and an application perspective.
    Keywords: TA1-2040 ; T1-995 ; similarity measure ; swarm-robotics ; drag-based system ; PID algorithm ; human–robot interaction ; behaviour dynamics ; state constraints ; fair optimisation ; micro mobile robot ; robot ; actuators ; high-gain observer ; turning model LIP ; space robot ; manipulation action sequences ; subgoal graphs ; remotely operated vehicle ; constrained motion ; joint limit avoidance ; curvilinear obstacle ; rehabilitation system ; stability criterion ; system design ; quad-tilt rotor ; iterative learning ; spiral curve ; cable detection ; SEA ; douglas–peuker polygonal approximation ; predictable trajectory planning ; ATEX ; obstacle avoidance system ; kinematic singularity ; collision avoidance ; biologically-inspired ; jumping robot ; differential wheeled robot ; design and modeling ; control efficacy ; robotics ; extremum-seeking ; object-oriented ; non-holonomic mobile robot ; magneto-rheological fluids ; rendezvous consensus ; altitude controller ; master-slave ; switching control ; deep reinforcement learning ; mechanism ; expansion logic strategy ; negative buoyancy ; action generation ; radial basis function neural networks ; unmanned aerial vehicles ; extend procedure ; glass façade cleaning robot ; convolutional neural network ; climbing robot ; micro air vehicle ; car-like kinematics ; variable speed ; machine learning ; dynamical model ; transportation ; geodesic ; unmanned surface vessel ; medical devices ; stopper ; extended state observer (ESO) ; high efficiency ; object mapping ; multi-objective optimization ; hybrid robot ; robot learning ; auto-tuning ; cable disturbance modeling ; manipulation planning ; pesticide application ; high-speed target ; sparse pose adjustment (SPA) ; service robot ; lumped parameter method ; Geometric Algebra ; dynamic coupling analysis ; Thau observer ; tri-tilt-rotor ; industrial robotic manipulator ; hardware-in-the-loop simulation ; robotic drilling ; muscle activities ; small size ; chameleon ; continuous hopping ; wall climbing robot ; hover mode ; 3D-SLAM ; curvature constraints ; PSO ; drilling end-effector ; Rodrigues parameters ; gait adaptation ; static environments ; position/force cooperative control ; snake-like robot ; shape-fitting ; powered exoskeleton ; input saturation ; kinematic identification ; methane ; human–machine interactive navigation ; q-learning ; path following ; hopping robot ; mobile manipulation ; high step-up ratio ; actuatorless ; monocular vision ; stability analysis ; compact driving unit ; snake robot ; non-holonomic robot ; curvature constraint ; phase-shifting ; dialytic elimination ; gesture recognition ; snake robots ; series elastic actuator ; flapping ; servo valve ; motion camouflage control ; biomimetic robot ; minimally invasive surgery robot ; centralized architecture ; trajectory planning ; computing time ; adaptive control law ; kinematics ; facial and gender recognition ; single actuator ; victim-detection ; shape memory alloys ; undiscovered sensor values ; discomfort ; Differential Evolution ; numerical evaluation ; quadruped robot ; coverage path planning ; localization ; MPC ; n/a ; fault diagnosis ; neural networks ; disturbance-rejection control ; sample gathering problem ; cart ; bio-inspired robot ; opposite angle-based exact cell decomposition ; optimization ; safety ; goal exchange ; hierarchical planning ; ocean current ; robot motion ; nonlinear differentiator ; mapping ; finite-time currents observer ; Newton iteration ; inverse kinematics ; deposition uniformity ; spatial pyramid pooling ; hierarchical path planning ; end effector ; head-raising ; fault recovery ; LOS ; path tracking ; non-inertial reference frame ; step climbing ; obstacle avoidance ; sliding mode control ; symmetrical adaptive variable impedance ; lane change ; quadcopter UAV ; singularity analysis ; biped mechanism ; fault-tolerant control ; dynamic neural networks ; mobile robots ; data association ; UAV ; enemy avoidance ; reinforcement learning ; grip optimization ; safety recovery mechanism ; exoskeleton ; dynamic environment ; uncertain environments ; hybrid bionic robot ; potential field ; robot navigation ; cleaning robot ; unmanned aerial vehicle ; non-singular fast-terminal sliding-mode control ; contact planning ; Lyapunov-like function ; piezoelectric actuator ; transition mode ; non-prehensile manipulation ; multiple mobile robots ; Tetris-inspired ; real-time action recognition ; integral line-of-sight ; topological map ; alpine ski ; target tracking ; closed-loop detection ; working efficiency ; mathematical modeling ; curve fitting ; force control ; biped robots ; NSGA-II ; mobile robot ; load carriage ; prescription map translation ; artificial fish swarm algorithm ; Q-networks ; self-reconfigurable robot ; G3-continuity ; autonomous vehicle ; loop closure detection ; excellent driver model ; robots ; graph representation ; regional growth ; target assignment ; evolutionary operators ; intelligent mobile robot ; motion sensor ; exploration ; droplets penetrability ; dynamic uncertainty ; simultaneous localization and mapping (SLAM) ; area decomposition ; multi-criteria decision making ; 4WS4WD vehicle ; biped climbing robots ; skiing robot ; ROS ; decision making ; smart materials ; centrifugal force ; missile control system ; formation of robots ; electro-rheological fluids ; pneumatics ; variable spray ; inertial measurement unit (IMU) ; Robot Operating System ; trajectory interpolation ; formation control ; immersion and invariance ; dragonfly ; parallel navigation ; harmonic potential field ; pallet transportation ; mobile robot navigation ; negative-buoyancy ; grip planning ; manipulator ; position control ; external disturbance ; legged robot ; passive skiing turn ; autonomous underwater vehicle (AUV) ; gait cycle ; path planning ; sliding mode observer ; dynamic gait ; self-learning ; polyomino tiling theory ; coalmine ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
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  • 5
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: The world’s energy demand is still growing, partly due to the rising population, partly to increasing personal needs. This growing demand has to be met without increasing (or preferably, by decreasing) the environmental impact. One of the ways to do so is the use of existing low-temperature heat sources for producing electricity, such as using power plants based on the organic Rankine cycle (ORC) . In ORC power plants, instead of the traditional steam, the vapor of organic materials (with low boiling points) is used to turn heat to work and subsequently to electricity. These units are usually less efficient than steam-based plants; therefore, they should be optimized to be technically and economically feasible. The selection of working fluid for a given heat source is crucial; a particular working fluid might be suitable to harvest energy from a 90 ℃ geothermal well but would show disappointing performance for well with a 80 ℃ head temperature. The ORC working fluid for a given heat source is usually selected from a handful of existing fluids by trial-and-error methods; in this collection, we demonstrate a more systematic method based on physical and chemical criteria.
    Keywords: adiabatic expansion ; isentropic expansion ; T-s diagram ; working fluid classification ; optimization ; single-screw expander ; vapor–liquid two-phase expansion ; thermal efficiency ; net work output ; heat exchange load of condenser ; cis-butene ; HFO-1234ze(E) ; ORC working fluids ; temperature–entropy saturation curve ; saturation properties ; wet and dry fluids ; ideal-gas heat capacity ; Rankine cycle ; ORC ; biomass ; fluid mixtures ; hydrocarbons ; working fluid ; selection method ; volumetric expander ; thermodynamic analysis ; wet zeotropic mixture ; single screw expander ; organic Rankine cycle ; R441A ; R436B ; R432A ; T–s diagram ; molecular degree of freedom ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
    Language: English
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  • 6
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: This book presents an interesting sample of the latest advances in optimization techniques applied to electrical power engineering. It covers a variety of topics from various fields, ranging from classical optimization such as Linear and Nonlinear Programming and Integer and Mixed-Integer Programming to the most modern methods based on bio-inspired metaheuristics. The featured papers invite readers to delve further into emerging optimization techniques and their real application to case studies such as conventional and renewable energy generation, distributed generation, transport and distribution of electrical energy, electrical machines and power electronics, network optimization, intelligent systems, advances in electric mobility, etc.
    Keywords: TA1-2040 ; T1-995 ; n/a ; Stackelberg game ; MILP ; optimal congestion threshold ; magnetic field mitigation ; simulation ; multi-objective particle swarm optimization ; virtual power plant ; internal defect ; day-ahead load forecasting ; neural network ; modular predictor ; multi-objective particle swarm optimization algorithm ; stochastic optimization ; dragonfly algorithm ; unit commitment ; metaheuristic ; multi-population method (MP) ; optimization ; tabu search ; considerable decomposition ; loss minimization ; active distribution system ; islanded microgrid ; dynamic solving framework ; feature selection ; electric energy costs ; power factor compensation ; dependability ; interactive load ; overhead ; energy internet ; evolutionary computation ; wind power ; developed grew wolf optimizer ; underground ; ETAP ; fuzzy algorithm ; electric vehicles ; Schwarz’s equation ; evolutionary algorithms ; electric power contracts ; congestion management ; optimizing-scenarios method ; building energy management system ; particle encoding method ; ringdown detection ; HOMER software ; DC optimal power flow ; prosumer ; constrained parameter estimation ; distributed generations (DGs) ; strong track filter (STF) ; transient stability ; calibration ; cost minimization ; radiance ; decentralized and collaborative optimization ; hybrid renewable energy system ; renewable energy sources ; rural electrification ; distribution network reconfiguration ; interval variables ; optimization methods ; particle swarm optimization ; hierarchical scheduling ; micro grid ; AC/DC hybrid active distribution ; consensus ; artificial bee colony ; CCHP system ; data center ; support vector machine ; affinity propagation clustering ; extended Kalman filter ; affine arithmetic ; linear discriminant analysis (LDA) ; current margins ; heterogeneous networks ; Cameroon ; hybrid method ; distributed heat-electricity energy management ; discrete wind driven optimization ; fitness function ; cross-entropy ; GenOpt ; wind energy ; demand uncertainty ; UC ; off-design performance ; genetic algorithm ; energy storage ; the biomimetic membrane computing ; power system optimization ; electric vehicle ; power architectures ; economic load dispatch problem (ELD) ; runner-root algorithm (RRA) ; Cable joint ; battery energy storage system ; load curtailment ; integration assessment ; power system unit commitment ; artificial lighting ; power flow ; hybrid membrane computing ; two-point estimation method ; low-voltage networks ; demand bidding ; non-sinusoidal circuits ; energy flow model ; power transfer distribution factors ; sustainability ; HVAC system ; voltage deviation ; street light points ; radial basis function ; energy storage system ; charging/discharging ; power systems ; intelligent scatter search ; MV/LV substation ; optimal power flow ; stochastic state estimation ; eight searching sub-regions ; chaos optimization algorithm (COA) ; mutual information theory ; inter-turn shorted-circuit fault (ISCF) ; C&I particle swarm optimization ; multiobjective optimization ; passive shielding ; sub-Saharan Africa ; micro-phasor measurement unit ; geometric algebra ; bio-inspired algorithms ; adaptive consensus algorithm ; energy management ; PCS efficiency ; multi-stakeholders ; generalized generation distribution factors ; the genetic algorithm based P system ; JAYA algorithm ; thermal probability density ; power optimization ; pumped-hydro energy storage ; smart grid ; two-stage feature selection ; piecewise linear techniques ; photovoltaic ; SOCP relaxations ; switched reluctance machine (SRM) ; optimal reactive power dispatch ; optimal operation ; controllable response ; off-grid ; active shielding ; transformer-fault diagnosis ; IEEE Std. 80-2000 ; principal component analysis ; demand response ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
    Language: English
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  • 7
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: This reprint aims to address the challenges modern-day buildings face in the context of high energy and resource consumption and climate change. One of the ways to address the issues is holistic design and operation of high-performance buildings in the area of energy efficiency, occupant health, and comfort. All this should be achieved through synergic interconnectedness between parameters such as the indoor–outdoor environment, sustainability, and resilience. Through different chapters, this reprint highlights the key areas, namely, the optimization of building design parameters, the impact of the use of modern-day phase-change materials, the adaptation of occupants and buildings to climate change, the mitigation of urban overheating by cool roofs, and reducing energy demand and CO2 emissions.
    Keywords: climate change ; bioclimatic design ; passive design ; energy efficiency ; overheating ; building resilience ; robustness ; shape factor ; building ; thermal envelope ; energy demand ; CO2 emissions ; white roofs ; cool roofs ; reflective material ; cost-benefit ; energy savings ; urban heat island ; thermal comfort ; indoor environmental quality ; educational buildings ; energy consumptions ; local discomfort ; building energy retrofitting ; phase change materials ; aerogel render ; heat stress risk ; emission ; lifecycle cost ; peak cooling load ; residential building ; building envelope ; multi-objective genetic algorithm ; TRNSYS ; climate zone ; multi-criteria decision making ; CRITIC ; TOPSIS ; capture devices ; variables ; field surveys ; thermal perceptions ; adaptive actions ; hostel dormitories ; composite climate of India ; reflective materials ; mitigation ; outdoor comfort ; visual comfort ; heat stress ; optimization ; skyscrapers ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
    Language: English
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  • 8
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: This multidisciplinary book covers a wide range of topics addressing critical challenges for advancing the understanding and management of shale oil and shale gas resources. Both fundamental and practical issues are considered. By covering a variety of technical topics, we aim to contribute to building a more integrated perspective to meet major challenges faced by shale resources. Combining complementary techniques and examining multiple sources of data serve to advance our current knowledge about these unconventional reservoirs. The book is a result of interdisciplinary and collaborative work. The content includes contributions authored by active scientists with ample expertise in their fields. Each article was carefully peer-reviewed by researchers, and the editorial process was performed by an experienced team of Senior Editors, Guest Editors, Topic Editors, and Editorial Board Members. The first part is devoted to fundamental topics, mostly investigated on the laboratory scale. The second part elaborates on larger scales (at near-wellbore and field scales). Finally, two related technologies, which could be relevant for shale plays applications, are presented. With this Special Issue, we provide a channel for sharing information and lessons learned collected from different plays and from different disciplines.
    Keywords: TA1-2040 ; T1-995 ; fracture mode ; Multi Finger Caliper ; sensitivity analysis ; shale oil ; borehole stability ; shale reservoir ; XRD ; XRF ; shear deformation ; optimization ; DSC ; EDX ; imbibition ; oil shale ; shale ; pore size distribution ; seismic wavefield ; unconventional ; fracturing fluid ; shale gas reservoir ; elastomer seal ; oil production ; leaching ; elemental analysis ; Chang 7 reservoir ; shale reservoirs ; Wufeng-Longmaxi shale ; TGA ; fracturing ; solid-liquid extraction ; fuling gas field ; Niutitang formation ; isolated organic matter ; SEM ; safety levels of activity ; well integrity ; flowback fluid ; osmotic hydration ; anisotropy ; surface hydration ; ionic stabilizer ; quantitative evaluation ; tight oil recovery ; FTIR ; fluid-solid-heat coupling ; liner hanger ; dynamic crack initiation toughness ; Jordan ; numerical simulation ; organic matter pores ; shale drilling fluid ; finite element analysis ; multistage fracturing ; well ; negative extreme swelling ratio ; volume fracturing ; contact pressure ; NSCB specimen ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
    Language: English
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  • 9
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: The book Green, Energy-Efficient and Sustainable Networks provides insights and solutions for a range of problems in the field of obtaining greener, energy-efficient, and sustainable networks. The book contains the outcomes of the Special Issue on “Green, Energy-Efficient and Sustainable Networks” of the Sensors journal. Seventeen high-quality papers published in the Special Issue have been collected and reproduced in this book, demonstrating significant achievements in the field. Among the published papers, one paper is an editorial and one is a review, while the remaining 15 works are research articles. The published papers are self-contained peer-reviewed scientific works that are authored by more than 75 different contributors with both academic and industry backgrounds. The editorial paper gives an introduction to the problem of information and communication technology (ICT) energy consumption and greenhouse gas emissions, presenting the state of the art and future trends in terms of improving the energy-efficiency of wireless networks and data centers, as the major energy consumers in the ICT sector. In addition, the published articles aim to improve energy efficiency in the fields of software-defined networking, Internet of things, machine learning, authentication, energy harvesting, wireless relay systems, routing metrics, wireless sensor networks, device-to-device communications, heterogeneous wireless networks, and image sensing. The last paper is a review that gives a detailed overview of energy-efficiency improvements and methods for the implementation of fifth-generation networks and beyond. This book can serve as a source of information in industrial, teaching, and/or research and development activities. The book is a valuable source of information, since it presents recent advances in different fields related to greening and improving the energy-efficiency and sustainability of those ICTs particularly addressed in this book
    Keywords: TA1-2040 ; T1-995 ; node speed ; linear recovery ; resource block allocation ; social awareness ; internet-of-things ; scheduling algorithm ; renewables ; neural network ; battery capacity ; energy awareness ; measurement structure ; optimization ; energy efficiency ; charging efficiency ; random structural matrices ; SDN ; water filling algorithm ; ONOS ; energy harvesting ; malware detection ; node density ; HetNets ; sustainability ; cooperative smart community ; adversarial samples ; spatial modulation ; NOMA ; 5G ; light-weight authentication ; green networking ; Device-to-Device (D2D) ; lightweight cipher ; mobile edge computing ; wireless power transfer ; adaptive link rate ; successive interference cancellation (SIC) ; directional charging vehicle ; self-interference cancellation ; proportional rate constraint ; inter-meeting time ; sustainable ; RWSN ; channel state information ; stochastic geometry ; networks ; green internet of things (IoT) ; PHY-layer ; IoT ; Markov chain ; traffic engineering ; QoS ; energy-efficient Ethernet ; power ; lightweight authentication ; energy aware routing ; authentication ; wired access ; amplify-and-forward ; software defined networking (SDN) ; image compressive sensing (CS) ; green ; edge computing ; LTE-A ; opportunistic networks ; RF Fingerprinting ; data centre ; multiple-input multiple-output ; Internet of Things ; machine learning ; peer discovery ; full-duplex ; industrial ; carbon footprint ; WSN ; imperfect CSI ; data center ; symbol error probability ; physical-layer authentication ; interference coordination ; clustering ; control and data plane ; wireless ; ICT ; bisection based optimal power allocation ; energy-efficiency ; consumer preferences ; real-time traffic ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
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  • 10
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: This Special Issue of Processes operates on the basis of a rigorous peer-review with a single-blind assessment and at least two independent reviewers, thereby ensuring a high quality final product. I would like to thank our reviewers, for providing the authors with constructive comments, and Editorial Board, for their professional advice that led to the final decision. I am sure that, in coming years, readers of this Special Issue will find the scientific manuscripts interesting and beneficial to their research.
    Keywords: TA1-2040 ; T1-995 ; three-dimensional temperature field ; n/a ; forced convection ; RNG k-? model ; PIV measurements ; water friction loss ; flat plate ; horizontal ; optimization ; casson fluid ; finned tube ; plate-fin heat sink ; computational fluid dynamics (CFD) ; plate heat exchanger ; partial heating ; thermo-diffusion ; HEN synthesis ; Keller-Box technique ; visualization experiment ; ice-cream ; modelling ; computational intelligence techniques ; canned motor ; boiling ; heat transfer ; operating condition ; vertical ; phase change ; flow distribution characteristics ; scraped surface heat exchanger ; heat flux ; numerical simulation ; aspect ratio ; orientation ; axisymmetric flow ; CACRS ; natural convection ; MINLP ; multi-slip ; ice storage ; viscosity ; axial piston pump ; crystallization ; multiphase flow ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
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