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Nanogrids, Microgrids, and the Internet of Things (IoT): Towards the Digital Energy Network

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ISBN: 9783039217946 / 9783039217953 Year: Pages: 128 DOI: 10.3390/books978-3-03921-795-3 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2019-12-09 11:49:16
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Driven by new regulations, new market structures, and new energy resources, the smart grid has been the trigger for profound changes in the way that electricity is generated, distributed, managed, and consumed. The smart grid has raised the traditional power grid by using a two-way electricity and information flow to create an advanced, automated power supply network. However, these pioneering smart grid technologies must grow to adapt to the demands of the current digital society. In today’s digital landscape, we can access feasible data and knowledge that were merely inconceivable. This Special Issue aims to address the landscape in which smart grids are progressing, due to the advent of pervasive technologies like the Internet of Things (IoT). It will be the advanced exploitation of the massive amounts of data generated from (low-cost) IoT sensors that will become the main driver to evolve the concept of the smart grid, currently focused on infrastructure, towards the digital energy network paradigm, focused on service. Furthermore, collective intelligence will improve the processes of decision making and empower citizens. Original manuscripts focusing on state-of-the-art IoT networking and communications, M2M communications, cyberphysical system architectures, big data analytics or cloud computing applied to digital energy platforms, including design methodologies and practical implementation aspects, are welcome.

Nanoparticle-Reinforced Polymers

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ISBN: 9783039212835 / 9783039212842 Year: Pages: 334 DOI: 10.3390/books978-3-03921-284-2 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Science (General) --- Chemistry (General)
Added to DOAB on : 2019-08-28 11:21:27
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This book, a collection of 12 original contributions and 4 reviews, provides a selection of the most recent advances in the preparation, characterization, and applications of polymeric nanocomposites comprising nanoparticles. The concept of nanoparticle-reinforced polymers came about three decades ago, following the outstanding discovery of fullerenes and carbon nanotubes. One of the main ideas behind this approach is to improve the matrix mechanical performance. The nanoparticles exhibit higher specific surface area, surface energy, and density compared to microparticles and, hence, lower nanofiller concentrations are needed to attain properties comparable to, or even better than, those obtained by conventional microfiller loadings, which facilitates processing and minimizes the increase in composite weight. The addition of nanoparticles into different polymer matrices opens up an important research area in the field of composite materials. Moreover, many different types of inorganic nanoparticles, such as quantum dots, metal oxides, and ceramic and metallic nanoparticles, have been incorporated into polymers for their application in a wide range of fields, ranging from medicine to photovoltaics, packaging, and structural applications.

Keywords

chemical and physical interface --- surface modification of silica --- latex compounding method --- silica/NR composite --- thermoresponsive hyperbranched polymer --- gold nanoparticles --- in-situ synthesis --- colorimetric sensor --- silver ions --- Ag nanoparticles --- catalysis --- composite membrane --- separation --- SiO2 microspheres --- inorganic nanotubes --- PHBV --- nanomaterials --- morphology --- crystallization kinetics --- nanocomposite --- conductive polymer --- solar cell --- graphene --- graphene oxide --- power-conversion efficiency --- electrode --- active layer --- interfacial layer --- layered structures --- polymer-matrix composites --- mechanical properties --- gas barrier properties --- N-isopropylacrylamide --- N-isopropylmethacrylamide --- ratiometric temperature sensing --- FRET --- chain topology --- selective adsorption --- polymer-NP interface --- organic light-emitting diodes (OLEDs) --- PFO/MEH-PPV hybrids --- SiO2/TiO2 nanocomposite --- optoelectronic properties --- fluorescent assay --- fluorescence resonance energy transfer --- conjugated polymer nanoparticles --- gold nanoparticles --- melamine --- polymers --- composites --- carbon nanoparticles --- nano-hybrids --- nanocomposites --- sol–gel --- in situ synthesis --- metal oxides --- reduced graphene oxide --- graphene-like WS2 --- bismaleimide --- mechanical properties --- carrier transport --- polypropylene nanocomposite --- molecular chain motion --- electrical breakdown --- electric energy storage --- thermoplastic nanocomposite --- polyethylene --- power cable insulation --- electrical property --- structure-property relationship --- hybrid hydrogels --- nanoparticles --- nanosheets --- clays --- polymers --- adhesion --- n/a

Heat and Mass Transfer in Energy Systems

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ISBN: 9783039219827 / 9783039219834 Year: Pages: 234 DOI: 10.3390/books978-3-03921-983-4 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: General and Civil Engineering --- Technology (General)
Added to DOAB on : 2020-01-30 16:39:46
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In recent years, the interest of the scientific community towards efficient energy systems has significantly increased. One of the reasons is certainly related to the change in the temperature of the planet, which has increased by 0.76 °C with respect to preindustrial levels, according to the Intergovernmental Panel on Climate Change (IPCC), and is still increasing. The European Union considers it vital to prevent global warming from exceeding 2 °C with respect to pre-industrial levels, as it has been proven that this will result in irreversible and potentially catastrophic changes. These changes in climate are mainly caused by greenhouse gas emissions related to human activities, and can be drastically reduced by employing energy systems for the heating and cooling of buildings, as well as for power production, characterized by high efficiency levels and/or based on renewable energy sources. This Special Issue, published in the Energies journal, includes 13 contributions from across the world, including a wide range of applications such as hybrid residential renewable energy systems, desiccant-based air handling units, heat exchanges for engine WHR, solar chimney systems, and other interesting topics.

Keywords

bubble absorber --- absorption cooling --- ammonia-lithium nitrate --- plate heat exchanger --- bentonite buffer material --- Ca-type bentonite --- thermal conductivity --- predictive models --- thermosyphon --- two-phase flow --- startup --- phase change --- operating state --- visualization --- fast thermal simulation --- crude oil pipeline --- batch transportation --- body-fitted coordinate-based proper orthogonal decomposition reduced-order model (BFC-POD-ROM) --- transport scheme determination --- waste heat recovery --- exhaust steam --- heat exchanger --- protracted fin --- turbo-electric generator --- exhaust emissions --- R744 --- two-phase ejector --- refrigeration --- dynamic simulation --- low-order model --- object-oriented modelling --- desiccant wheel --- solar heating and cooling --- hygroscopic materials --- dynamic simulations --- energy and environmental analysis --- solar chimney --- air flow --- analytical and experimental solutions --- method of calculation --- steelmaking --- electric arc furnace --- consumption --- electric energy --- melting --- refining --- tapping --- modeling --- linear regression --- genetic programming --- renewables --- ancillary services --- hybrid systems --- thermal storage --- energy storage --- microgrids --- heat pump --- model predictive control --- optimization --- Biot number --- genetic algorithms --- drying --- air-cooled steam turbine generator --- single-channel ventilation --- backflow --- radial ventilation duct --- fluid field --- ground source heat pump --- numerical and experimental studies --- ground-air heat exchanger --- geothermal energy --- computational fluid dynamics --- spirally corrugated pipe

Microgrids

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ISBN: 9783039218684 / 9783039218691 Year: Pages: 108 DOI: 10.3390/books978-3-03921-869-1 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: General and Civil Engineering --- Technology (General)
Added to DOAB on : 2020-01-30 16:39:46
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Electrical power systems are evolving at the generation, transmission, and distribution levels. At distribution level, small generating and storage units—the so-called distributed energy sources (DERs)—are being installed close to consumption sites. The expansion of DERs is empowering renewable energy source integration and, as a consequence, new actors are appearing in electrical systems. Among them, the prosumer is a game-changer; the fruit of the behavior transformation of the consumer who has not only the ability to consume power but also to produce it. Microgrids can be understood as DER installations that have the capability of both grid-connected and grid-isolated operation. During the last decades, there has been a significant deployment of microgrids (e.g., in countries like the United States, Switzerland, and Denmark) and a consequent increase in renewable energy generation. This is contributing to the decarbonization of electrical power systems. However, the variability and intermittency of renewable sources introduce uncertainty, which implies a more complex operation and control. Taking into account that existing and future planned microgrids are being/going to be interconnected to the current electrical network, challenges in terms of design, operation, and control at power system level need to be addressed, considering existing regulations.

Keywords

demand-side management --- optimization --- deterministic optimization --- stochastic optimization --- residential users --- devices scheduling --- renewable sources --- storage systems --- electric energy market --- power quality --- chaos synchronization detection --- extension theory --- direct search method (DSM) --- microgrid (MG) --- distributed energy resources (DERs) --- distributed generation (DG) --- optimal dispatch --- microgrids --- multi-agent --- coordinated control --- IEC 61850 Standard --- generic object oriented substation event (GOOSE) communication --- power quality disturbances --- S-transform --- multiresolution --- particle swarm optimization --- decision tree --- reliability evaluation --- microgrid --- distributed generation --- battery storage --- vehicle-to-grid --- ruleless EV --- regular EV --- combined power generation system --- microgrid --- coordinative optimization of energy --- predictive control --- genetic algorithm --- distributed generation (DG) --- microgrid --- microgrid stability controller (MSC) --- total sliding-mode control --- hierarchical control scheme --- maximum electrical efficiency --- nonlinear programming --- solid oxide fuel cell --- electric vehicle (EV) --- vehicle-to-grid (V2G) --- isolated grid --- load frequency control (LFC) --- multivariable generalized predictive control (MGPC) --- current harmonic reduction --- active filter --- power quality --- buck-boost converter --- renewable energy source --- optimal capacity --- reliability --- renewable --- energy storage --- genetic algorithm --- DC microgrid --- communication delay --- droop control --- load power sharing --- mesh configuration --- radial configuration --- electric vehicle --- energy management system --- peak-shift --- peak-cut --- vehicle information system --- photovoltaic feasibility --- flexible generation --- distributed energy resources --- power quality --- DC distribution --- DC microgrid --- inrush current --- grounding --- DC architectures --- datacenter --- residential power systems --- telecommunication power management --- smart grids --- microgrid --- network planning --- power distribution --- grid independence --- distributed energy resources --- micro-grid --- IEC 61850 --- plug and play --- operation --- small-scale standalone microgrid --- HESS --- ESS effective rate --- coordinated control strategy --- cost and life --- technical and economic optimization --- microgrid --- flywheel energy storage (FES) --- doubly fed induction machine --- frequency control --- smoothing wind power --- distributed generation --- congestion problems --- medium-voltage networks --- curtailment --- flexibility --- microgrid test facility --- distributed generation --- integrated electrical and thermal grids --- flexible and configurable architecture --- energy efficiency --- distributed optimization --- optimal power flow --- microgrids --- embedded system --- smart grid --- smart inverter --- distributed energy resource --- power quality

Optimization Methods Applied to Power Systems: Volume 1

Authors: ---
ISBN: 9783039211302 / 9783039211319 Year: Pages: 382 DOI: 10.3390/books978-3-03921-131-9 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2019-08-28 11:21:27
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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

Cable joint --- internal defect --- thermal probability density --- power system optimization --- optimal power flow --- developed grew wolf optimizer --- energy internet --- prosumer --- energy management --- consensus --- demand response --- day-ahead load forecasting --- modular predictor --- feature selection --- micro-phasor measurement unit --- mutual information theory --- stochastic state estimation --- two-point estimation method --- JAYA algorithm --- multi-population method (MP) --- chaos optimization algorithm (COA) --- economic load dispatch problem (ELD) --- optimization methods --- constrained parameter estimation --- extended Kalman filter --- power systems --- C&I particle swarm optimization --- ringdown detection --- optimal reactive power dispatch --- loss minimization --- voltage deviation --- hybrid method --- tabu search --- particle swarm optimization --- artificial lighting --- simulation --- calibration --- radiance --- GenOpt --- street light points --- DC optimal power flow --- power transfer distribution factors --- generalized generation distribution factors --- unit commitment --- adaptive consensus algorithm --- distributed heat-electricity energy management --- eight searching sub-regions --- islanded microgrid --- dragonfly algorithm --- metaheuristic --- optimal power flow --- particle swarm optimization --- CCHP system --- energy storage --- off-design performance --- dynamic solving framework --- battery energy storage system --- micro grid --- MILP --- PCS efficiency --- piecewise linear techniques --- renewable energy sources --- optimal operation --- UC --- demand bidding --- demand response --- genetic algorithm --- load curtailment --- optimization --- hybrid renewable energy system --- pumped-hydro energy storage --- off-grid --- optimization --- HOMER software --- rural electrification --- sub-Saharan Africa --- Cameroon --- building energy management system --- HVAC system --- energy storage system --- energy flow model --- dependability --- sustainability --- data center --- power architectures --- optimization --- AC/DC hybrid active distribution --- hierarchical scheduling --- multi-stakeholders --- discrete wind driven optimization --- multiobjective optimization --- optimal power flow --- metaheuristic --- wind energy --- photovoltaic --- smart grid --- transformer-fault diagnosis --- principal component analysis --- particle swarm optimization --- support vector machine --- wind power --- integration assessment --- interactive load --- considerable decomposition --- controllable response --- SOCP relaxations --- optimal power flow --- current margins --- affine arithmetic --- interval variables --- optimizing-scenarios method --- power flow --- wind power --- active distribution system --- virtual power plant --- stochastic optimization --- decentralized and collaborative optimization --- genetic algorithm --- multi-objective particle swarm optimization algorithm --- artificial bee colony --- IEEE Std. 80-2000 --- Schwarz’s equation --- fuzzy algorithm --- radial basis function --- neural network --- ETAP --- distributed generations (DGs) --- distribution network reconfiguration --- runner-root algorithm (RRA) --- inter-turn shorted-circuit fault (ISCF) --- strong track filter (STF) --- linear discriminant analysis (LDA) --- switched reluctance machine (SRM) --- charging/discharging --- electric vehicle --- energy management --- genetic algorithm --- intelligent scatter search --- electric vehicles --- heterogeneous networks --- demand uncertainty --- power optimization --- Stackelberg game --- power system unit commitment --- hybrid membrane computing --- cross-entropy --- the genetic algorithm based P system --- the biomimetic membrane computing --- transient stability --- two-stage feature selection --- particle encoding method --- fitness function --- power factor compensation --- non-sinusoidal circuits --- geometric algebra --- evolutionary algorithms --- electric power contracts --- electric energy costs --- cost minimization --- evolutionary computation --- bio-inspired algorithms --- congestion management --- low-voltage networks --- multi-objective particle swarm optimization --- affinity propagation clustering --- optimal congestion threshold --- optimization --- magnetic field mitigation --- overhead --- underground --- passive shielding --- active shielding --- MV/LV substation --- n/a

Optimization Methods Applied to Power Systems: Volume 2

Authors: ---
ISBN: 9783039211562 / 9783039211579 Year: Pages: 306 DOI: 10.3390/books978-3-03921-157-9 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2019-08-28 11:21:27
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Abstract

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

Cable joint --- internal defect --- thermal probability density --- power system optimization --- optimal power flow --- developed grew wolf optimizer --- energy internet --- prosumer --- energy management --- consensus --- demand response --- day-ahead load forecasting --- modular predictor --- feature selection --- micro-phasor measurement unit --- mutual information theory --- stochastic state estimation --- two-point estimation method --- JAYA algorithm --- multi-population method (MP) --- chaos optimization algorithm (COA) --- economic load dispatch problem (ELD) --- optimization methods --- constrained parameter estimation --- extended Kalman filter --- power systems --- C&I particle swarm optimization --- ringdown detection --- optimal reactive power dispatch --- loss minimization --- voltage deviation --- hybrid method --- tabu search --- particle swarm optimization --- artificial lighting --- simulation --- calibration --- radiance --- GenOpt --- street light points --- DC optimal power flow --- power transfer distribution factors --- generalized generation distribution factors --- unit commitment --- adaptive consensus algorithm --- distributed heat-electricity energy management --- eight searching sub-regions --- islanded microgrid --- dragonfly algorithm --- metaheuristic --- optimal power flow --- particle swarm optimization --- CCHP system --- energy storage --- off-design performance --- dynamic solving framework --- battery energy storage system --- micro grid --- MILP --- PCS efficiency --- piecewise linear techniques --- renewable energy sources --- optimal operation --- UC --- demand bidding --- demand response --- genetic algorithm --- load curtailment --- optimization --- hybrid renewable energy system --- pumped-hydro energy storage --- off-grid --- optimization --- HOMER software --- rural electrification --- sub-Saharan Africa --- Cameroon --- building energy management system --- HVAC system --- energy storage system --- energy flow model --- dependability --- sustainability --- data center --- power architectures --- optimization --- AC/DC hybrid active distribution --- hierarchical scheduling --- multi-stakeholders --- discrete wind driven optimization --- multiobjective optimization --- optimal power flow --- metaheuristic --- wind energy --- photovoltaic --- smart grid --- transformer-fault diagnosis --- principal component analysis --- particle swarm optimization --- support vector machine --- wind power --- integration assessment --- interactive load --- considerable decomposition --- controllable response --- SOCP relaxations --- optimal power flow --- current margins --- affine arithmetic --- interval variables --- optimizing-scenarios method --- power flow --- wind power --- active distribution system --- virtual power plant --- stochastic optimization --- decentralized and collaborative optimization --- genetic algorithm --- multi-objective particle swarm optimization algorithm --- artificial bee colony --- IEEE Std. 80-2000 --- Schwarz’s equation --- fuzzy algorithm --- radial basis function --- neural network --- ETAP --- distributed generations (DGs) --- distribution network reconfiguration --- runner-root algorithm (RRA) --- inter-turn shorted-circuit fault (ISCF) --- strong track filter (STF) --- linear discriminant analysis (LDA) --- switched reluctance machine (SRM) --- charging/discharging --- electric vehicle --- energy management --- genetic algorithm --- intelligent scatter search --- electric vehicles --- heterogeneous networks --- demand uncertainty --- power optimization --- Stackelberg game --- power system unit commitment --- hybrid membrane computing --- cross-entropy --- the genetic algorithm based P system --- the biomimetic membrane computing --- transient stability --- two-stage feature selection --- particle encoding method --- fitness function --- power factor compensation --- non-sinusoidal circuits --- geometric algebra --- evolutionary algorithms --- electric power contracts --- electric energy costs --- cost minimization --- evolutionary computation --- bio-inspired algorithms --- congestion management --- low-voltage networks --- multi-objective particle swarm optimization --- affinity propagation clustering --- optimal congestion threshold --- optimization --- magnetic field mitigation --- overhead --- underground --- passive shielding --- active shielding --- MV/LV substation --- n/a

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