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This book presents the latest solutions in fuel cell (FC) and renewable energy implementation in mobile and stationary applications. The implementation of advanced energy management and optimization strategies are detailed for fuel cell and renewable microgrids, and for the multi-FC stack architecture of FC/electric vehicles to enhance the reliability of these systems and to reduce the costs related to energy production and maintenance. Cyber-security methods based on blockchain technology to increase the resilience of FC renewable hybrid microgrids are also presented. Therefore, this book is for all readers interested in these challenging directions of research.
Technology: general issues --- Energy industries & utilities --- mobile charging station --- electric vehicle --- operational mode --- location-allocation problem --- battery --- capacitor --- differential flatness --- double-layer capacitor --- energy management --- interleaved converter --- nonlinear control --- second order equation --- supercapacitor --- multi-stack --- Polymer Electrolyte Membrane Fuel Cell (PEMFC) --- power electronics --- stability analysis --- microgrid --- LQR-PI control --- grid-tied mode --- current imbalance --- power quality --- genetic algorithms --- renewable energy --- consumer planning --- real-time strategy --- consumption monitoring --- energy storage systems --- renewable energy sources --- dynamic programming --- cascaded multilevel inverter --- photovoltaic --- leakage current --- IoT security --- Internet of Vehicles --- IoV --- connected car --- Blockchain Governance Game --- mixed game --- stochastic model --- fluctuation theory --- 51 percent attack --- double feed induction generator --- grid frequency and amplitude support --- smart grid --- wind technology (WT) --- load frequency control --- optimization issue --- moth flame optimizer (MFO) --- Harris hawks optimizer (HHO) --- fuel economy --- load-following --- switching strategy --- real-time optimization --- fuel cell vehicle --- fuel cell system --- automatic generation control --- controllers --- optimization techniques --- multisource power system --- interconnected power system --- hybrid gravitational with fire fly algorithm --- gravitational search algorithm --- firefly algorithm
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Energy Systems Engineering is one of the most exciting and fastest growing fields in engineering. Modeling and simulation plays a key role in Energy Systems Engineering because it is the primary basis on which energy system design, control, optimization, and analysis are based. This book contains a specially curated collection of recent research articles on the modeling and simulation of energy systems written by top experts around the world from universities and research labs, such as Massachusetts Institute of Technology, Yale University, Norwegian University of Science and Technology, National Energy Technology Laboratory of the US Department of Energy, University of Technology Sydney, McMaster University, Queens University, Purdue University, the University of Connecticut, Technical University of Denmark, the University of Toronto, Technische Universität Berlin, Texas A&M, the University of Pennsylvania, and many more. The key research themes covered include energy systems design, control systems, flexible operations, operational strategies, and systems analysis. The addressed areas of application include electric power generation, refrigeration cycles, natural gas liquefaction, shale gas treatment, concentrated solar power, waste-to-energy systems, micro-gas turbines, carbon dioxide capture systems, energy storage, petroleum refinery unit operations, Brayton cycles, to name but a few.
FCMP --- modeling and simulation --- multiphase equilibrium --- modeling --- polymer electrolyte membrane fuel cell (PEMFC) --- dynamic simulation --- simulation --- multi-scale systems engineering --- process simulation --- cycling --- time-delay --- exergy loss --- gas path analysis --- oil and gas --- solar PV --- optimization --- second law efficiency --- auto thermal reformer --- friction factor --- optimal battery operation --- biodiesel --- energy --- time-varying operation --- efficiency --- process synthesis and design --- nonsmooth modeling --- mixture ratio --- supercritical CO2 --- dynamic optimization --- technoeconomic analysis --- work and heat integration --- compressibility factor --- multi-objective optimisation --- circulating fluidized bed boiler --- wind power --- naphtha recovery unit --- cost optimization --- recompression cycle --- hybrid Life Cycle Assessment --- post-combustion CO2 capture --- piecewise-linear function generation --- solar energy --- industrial process heat --- kriging --- statistical model --- supercritical pulverized coal (SCPC) --- parabolic trough --- combined cycle --- H2O-LiBr working pair --- linearization --- process integration --- smith predictor --- process design --- analysis by synthesis --- MINLP --- methyl-oleate --- diagnostics --- offshore wind --- double-effect system --- shale gas condensate --- geothermal energy --- multi-loop control --- R123 --- waste to energy --- hybrid system --- cogeneration --- energy storage --- energy efficiency --- nonlinear mathematical programming --- superstructure --- concentrating solar thermal --- desalination --- modelling --- binary cycle --- organic Rankine cycle --- refuse derived fuel --- power plants --- WHENS --- process control --- compressor modeling --- energy systems --- PTC --- life cycle analysis --- natural gas transportation --- isentropic exponent --- top-down models --- thermal storage --- supercritical carbon dioxide --- operations --- sustainable process design --- hybrid solar --- energy management --- R245fa --- building blocks --- energy economics --- micro gas turbine --- CSP --- fuel cost minimization problem --- CST --- palladium membrane hydrogen separation --- battery degradation --- optimal control --- RK-ASPEN --- process systems engineering --- supervisory control --- absorption refrigeration --- concentrating solar power --- shale gas condensate-to-heavier liquids --- Dieng --- DMR liquefaction processes --- dynamic modeling --- Organic Rankine Cycle (ORC) --- load-following --- demand response --- Indonesia
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