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Standalone (off-grid) renewable energy systems supply electricity in places where there is no access to a standard electrical grid. These systems may include photovoltaic generators, wind turbines, hydro turbines or any other renewable electrical generator. Usually, this kind of system includes electricity storage (commonly lead-acid batteries, but also other types of storage can be used). In some cases, a backup generator (usually powered by fossil fuel, diesel or gasoline) is part of the hybrid system. The modelling of the components, the control of the system and the simulation of the performance of the whole system are necessary to evaluate the system technically and economically. The optimization of the sizing and/or the control is also an important task in this kind of system.

renewable energy --- low-temperature energy storage --- SOC --- simulation --- sustainability --- greenhouse gas emission --- economic feasibility --- photovoltaic systems --- MPPT --- partial shading condition --- transfer reinforcement learning --- space decomposition --- microgrids --- energy management --- optimization --- photovoltaic --- energy storage --- demand response program (DRP) --- photovoltaic system (PV) --- pumped heat energy storage (PHES) --- critical peak pricing (CPP) DRP --- time-ahead dynamic pricing (TADP) DRP --- loss of power supply probability (LPSP) --- energy storage system (ESS) --- Multi-Objective Particle Swarm Optimization (MOPSO) --- pitch control --- permanent magnet-synchronous generator (PMSG) --- limit extracted power --- nonlinear adaptive control (NAC) --- perturbation observer --- vanadium redox flow battery --- genetic algorithm --- binary particle swarm optimization --- time-varying mirrored S-shaped transfer function --- greenhouse gas emissions --- heliostat --- sun tracking --- solar energy --- embedded system --- fuzzy logic control --- center of sums defuzzification method --- n/a

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The book documents 25 papers collected from the Special Issue “Advances in Condition Monitoring, Optimization and Control for Complex Industrial Processes”, highlighting recent research trends in complex industrial processes. The book aims to stimulate the research field and be of benefit to readers from both academic institutes and industrial sectors.

process control --- separation --- oil and gas --- control chart --- fuzzy logic --- neutrosophic statistic --- incomplete data --- belief statistic --- gamma distribution --- microalgae --- raceway --- control problem --- PID --- event-based --- flexible flow shop scheduling --- multi-queue limited buffers --- improved compact genetic algorithm --- probability density function of the Gaussian distribution --- transfer bees optimizer --- reinforcement learning --- behavior transfer --- state-action chains --- reactive power optimization --- Holmquist–Johnson–Cook constitutive model of briquette --- parameter acquisition --- split Hopkinson pressure bar experiment --- numerical simulation --- pressure swing distillation --- full-heat integration --- acetonitrile --- water --- distributed model predictive control --- steam power plant --- steam/water loop --- multi-input and multi-output system --- loop design --- optimal nonlinear adaptive control --- memetic salp swarm algorithm --- voltage source converter --- perturbation observer --- hardware experiment --- MIMO temperature control in heating process system --- pole-zero cancelation --- temperature difference --- transient response --- dead time --- slow-mode-based control --- multi-input multi-output (MIMO) temperature system --- temperature differences --- non-pillar --- gob-side entry retaining by roof cutting --- close distance coal seams --- goaf --- stress distribution --- semiconductor bonding equipment-grouping method --- graph theory --- association matrix --- CFSFDP algorithm --- self-learning --- variable geometry turbocharger --- deep reinforcement learning --- deep deterministic policy gradient --- flexible flow shop --- limited buffer --- public buffer --- Hopfield neural network --- local scheduling --- simulated annealing algorithm --- load identification --- EWT --- multiscale fuzzy entropy --- PNN --- Hybrid Attack Graph --- Level-of-Resilience --- stability --- topology --- distributed generation (DG) --- INSGA-II --- multi-objective optimization --- potential crowding distance --- static and dynamic planning --- data-driven methods --- coarse model --- refrigeration --- tunnel boring machine --- roadway supporting --- constitutive model --- failure criterion --- in-situ monitoring --- power systems --- complex network theory --- Fast–Newman algorithm --- link-addition strategy --- cascading failures --- flotation process --- reagent dosage --- time series froth image --- cumulative distribution function --- fault diagnosis --- fault classification --- fast Fourier transform (FFT) --- multi-linear principal component analysis (MPCA) --- uncorrelated multi-linear principal component analysis (UMPCA) --- additive white Gaussian noises (AWGN) --- wind turbine systems --- deviation control --- drilling machine --- nonlinear adaptive backstepping controller disturbance observer --- parameter uncertainties --- wind turbine --- energy conversion systems --- condition monitoring --- fault prognosis --- resilient control --- n/a --- Holmquist-Johnson-Cook constitutive model of briquette --- Fast-Newman algorithm

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

The book documents 25 papers collected from the Special Issue “Advances in Condition Monitoring, Optimization and Control for Complex Industrial Processes”, highlighting recent research trends in complex industrial processes. The book aims to stimulate the research field and be of benefit to readers from both academic institutes and industrial sectors.

Technology: general issues --- process control --- separation --- oil and gas --- control chart --- fuzzy logic --- neutrosophic statistic --- incomplete data --- belief statistic --- gamma distribution --- microalgae --- raceway --- control problem --- PID --- event-based --- flexible flow shop scheduling --- multi-queue limited buffers --- improved compact genetic algorithm --- probability density function of the Gaussian distribution --- transfer bees optimizer --- reinforcement learning --- behavior transfer --- state-action chains --- reactive power optimization --- Holmquist–Johnson–Cook constitutive model of briquette --- parameter acquisition --- split Hopkinson pressure bar experiment --- numerical simulation --- pressure swing distillation --- full-heat integration --- acetonitrile --- water --- distributed model predictive control --- steam power plant --- steam/water loop --- multi-input and multi-output system --- loop design --- optimal nonlinear adaptive control --- memetic salp swarm algorithm --- voltage source converter --- perturbation observer --- hardware experiment --- MIMO temperature control in heating process system --- pole-zero cancelation --- temperature difference --- transient response --- dead time --- slow-mode-based control --- multi-input multi-output (MIMO) temperature system --- temperature differences --- non-pillar --- gob-side entry retaining by roof cutting --- close distance coal seams --- goaf --- stress distribution --- semiconductor bonding equipment-grouping method --- graph theory --- association matrix --- CFSFDP algorithm --- self-learning --- variable geometry turbocharger --- deep reinforcement learning --- deep deterministic policy gradient --- flexible flow shop --- limited buffer --- public buffer --- Hopfield neural network --- local scheduling --- simulated annealing algorithm --- load identification --- EWT --- multiscale fuzzy entropy --- PNN --- Hybrid Attack Graph --- Level-of-Resilience --- stability --- topology --- distributed generation (DG) --- INSGA-II --- multi-objective optimization --- potential crowding distance --- static and dynamic planning --- data-driven methods --- coarse model --- refrigeration --- tunnel boring machine --- roadway supporting --- constitutive model --- failure criterion --- in-situ monitoring --- power systems --- complex network theory --- Fast–Newman algorithm --- link-addition strategy --- cascading failures --- flotation process --- reagent dosage --- time series froth image --- cumulative distribution function --- fault diagnosis --- fault classification --- fast Fourier transform (FFT) --- multi-linear principal component analysis (MPCA) --- uncorrelated multi-linear principal component analysis (UMPCA) --- additive white Gaussian noises (AWGN) --- wind turbine systems --- deviation control --- drilling machine --- nonlinear adaptive backstepping controller disturbance observer --- parameter uncertainties --- wind turbine --- energy conversion systems --- condition monitoring --- fault prognosis --- resilient control --- n/a --- Holmquist-Johnson-Cook constitutive model of briquette --- Fast-Newman algorithm