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Selected Papers from the 9th World Congress on Industrial Process Tomography

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ISBN: 9783039282487 9783039282494 Year: Pages: 262 DOI: 10.3390/books978-3-03928-249-4 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2020-04-07 23:07:08
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Abstract

Industrial process tomography (IPT) is becoming an important tool for Industry 4.0. It consists of multidimensional sensor technologies and methods that aim to provide unparalleled internal information on industrial processes used in many sectors. This book showcases a selection of papers at the forefront of the latest developments in such technologies.

Keywords

wire-mesh --- flow distribution --- subsea gas–liquid separation --- two-phase flow --- cyclonic chamber --- machine learning --- inverse problem --- electrical impedance tomography --- image reconstruction --- industrial tomography --- electrical impedance tomography --- ultrasound tomography --- dual-modality imaging --- lagrange-newton method --- electrical capacitance tomography --- industrial process tomography --- direct image reconstruction --- Calderon’s method --- truncation radius --- open electrical impedance tomography --- sensor design --- conformal transformation --- focusing sensor --- open domain imaging --- simulated inductor technique --- process tomography --- contactless electrical tomography --- grouting duct --- capacitive sensor --- cross section distribution detecting --- measurement --- drying process --- Electrical Impedance Tomography --- impedance spectroscopy --- chokeberry --- EIDORS --- Magnetic Induction Tomography --- imaging defects --- imaging deformations --- total variation algorithms --- threshold-differencing algorithms --- continuous casting --- imaging techniques --- multiphase flow --- nanoparticles --- enhanced oil recovery --- tomography --- sand-pack flooding --- electrical resistance tomography --- smart water meter --- wastewater management --- measurement data analysis --- targeted crowdsourcing --- flow investigation tool --- X-ray process tomography --- radiography imaging --- 3D --- ECT --- 3D-printing --- sensors --- modeling --- FPGA --- high-speed EIT --- frequency division multiplexing --- ONE-SHOT --- EIDORS --- n/a

Modeling and Simulation of Energy Systems

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ISBN: 9783039215188 9783039215195 Year: Pages: 496 DOI: 10.3390/books978-3-03921-519-5 Language: English
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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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.

Keywords

cogeneration --- process integration --- solar energy --- thermal storage --- desalination --- optimization --- naphtha recovery unit --- statistical model --- simulation --- optimization --- concentrating solar thermal --- CST --- concentrating solar power --- CSP --- parabolic trough --- PTC --- thermal storage --- industrial process heat --- hybrid solar --- power plants --- supervisory control --- dynamic simulation --- dynamic optimization --- optimal control --- post-combustion CO2 capture --- energy efficiency --- time-varying operation --- shale gas condensate --- process synthesis and design --- shale gas condensate-to-heavier liquids --- technoeconomic analysis --- supercritical carbon dioxide --- recompression cycle --- combined cycle --- efficiency --- organic Rankine cycle --- exergy loss --- second law efficiency --- auto thermal reformer --- palladium membrane hydrogen separation --- polymer electrolyte membrane fuel cell (PEMFC) --- multi-loop control --- nonsmooth modeling --- process simulation --- DMR liquefaction processes --- fuel cost minimization problem --- FCMP --- piecewise-linear function generation --- linearization --- natural gas transportation --- compressor modeling --- compressibility factor --- isentropic exponent --- friction factor --- demand response --- energy management --- energy storage --- optimal battery operation --- battery degradation --- micro gas turbine --- modelling --- diagnostics, gas path analysis, analysis by synthesis --- circulating fluidized bed boiler --- refuse derived fuel --- waste to energy --- dynamic modeling --- process control --- dynamic modeling --- process control --- load-following --- supercritical pulverized coal (SCPC) --- cycling --- time-delay --- smith predictor --- energy systems --- modeling and simulation --- multi-scale systems engineering --- sustainable process design --- energy economics --- top-down models --- hybrid Life Cycle Assessment --- oil and gas --- offshore wind --- combined cycle --- hybrid system --- kriging --- multi-objective optimisation --- solar PV --- wind power --- life cycle analysis --- energy storage --- multiphase equilibrium --- RK-ASPEN --- methyl-oleate --- biodiesel --- supercritical CO2 --- WHENS --- work and heat integration --- building blocks --- superstructure --- MINLP --- absorption refrigeration --- H2O-LiBr working pair --- double-effect system --- cost optimization --- nonlinear mathematical programming --- Organic Rankine Cycle (ORC) --- geothermal energy --- binary cycle --- R245fa --- R123 --- mixture ratio --- Dieng --- Indonesia --- modeling --- simulation --- energy --- energy systems --- process systems engineering --- optimization --- process design --- operations

Intelligent Control in Energy Systems

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ISBN: 9783039214150 9783039214167 Year: Pages: 508 DOI: 10.3390/books978-3-03921-416-7 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Science (General) --- Physics (General)
Added to DOAB on : 2019-12-09 11:49:15
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The editors of this Special Issue titled “Intelligent Control in Energy Systems” have attempted to create a book containing original technical articles addressing various elements of intelligent control in energy systems. In response to our call for papers, we received 60 submissions. Of those submissions, 27 were published and 33 were rejected. In this book, we offer the 27 accepted technical articles as well as one editorial. Authors from 15 countries (China, Netherlands, Spain, Tunisia, United Sates of America, Korea, Brazil, Egypt, Denmark, Indonesia, Oman, Canada, Algeria, Mexico, and the Czech Republic) elaborate on several aspects of intelligent control in energy systems. The book covers a broad range of topics including fuzzy PID in automotive fuel cell and MPPT tracking, neural networks for fuel cell control and dynamic optimization of energy management, adaptive control on power systems, hierarchical Petri Nets in microgrid management, model predictive control for electric vehicle battery and frequency regulation in HVAC systems, deep learning for power consumption forecasting, decision trees for wind systems, risk analysis for demand side management, finite state automata for HVAC control, robust ?-synthesis for microgrids, and neuro-fuzzy systems in energy storage.

Keywords

lithium-ion battery pack --- soft internal short circuit --- model-based fault detection --- battery safety --- internal short circuit resistance --- load frequency control --- model uncertainty --- ?-synthesis --- differential evolution --- decision tree --- preventive control --- Fault Ride Through Capability --- doubly-fed induction generator --- ancillary service --- frequency regulation --- demand response --- commercial/residential buildings --- HVAC systems --- model predictive control --- rule-based control --- position control --- static friction --- exhaust gas recirculation (EGR) valve system --- automotive application --- hybrid electric vehicle --- compound structured permanent-magnet motor --- energy management strategy --- instantaneous optimization minimum power loss --- back propagation (BP) neural network --- power transformer winding --- vibration characteristics --- multiphysical field analysis --- short-circuit experiment --- winding-fault characteristics --- occupancy model --- occupancy-based control --- model predictive control --- energy efficiency --- building climate control --- solar monitoring system --- photovoltaic array --- energy management --- demand side management --- operation limit violations --- probabilistic power flow --- network sensitivity --- neural networks --- railway --- high-speed railway --- neutral section --- medium voltage --- thyristor --- AC static switch --- adaptive backstepping --- nonlinear power systems --- sliding mode control --- error compensation --- ?-class function --- energy internet --- multi-energy complementary --- integrated energy systems --- distribution network planning --- electric power consumption --- multi-step forecasting --- long short term memory --- convolutional neural network --- system identification --- parameter estimation --- system modelling --- model reduction --- polynomial expansion --- orthogonal least square --- industrial process --- electric vehicle --- battery packs --- active balance --- model predictive control --- hierarchical Petri nets --- urban microgrids --- phase-load balancing --- fuzzy logic controller --- MPPT: maximum power point tracking --- photovoltaic system --- step-up boost converter --- proton exchange membrane fuel cell --- four phases interleaved boost converter --- neural network controller --- AC-DC converters --- bridgeless SEPIC PFC converter --- repetitive controller --- current distortion --- current controller design --- stochastic power system operating point drift --- wind integrated power system --- power oscillations --- adaptive damping control --- continuous voltage control --- multiple-point control --- interaction minimization --- pilot point --- adjacent areas --- ANFIS --- artificial neural network --- fuzzy --- small scale compressed air energy storage (SS-CAES) --- voltage controlling --- electric meter --- error estimation --- line loss --- RLS --- double forgetting factors --- hybrid power plant --- control architecture --- coordination of reserves --- frequency support --- frequency control dead band --- fast frequency response --- frequency containment reserve --- line switching --- voltage violations --- three-stage --- fractional order fuzzy PID controller --- neural network algorithm --- PEM fuel cell --- MPPT operation --- sensitivity analysis --- intelligent control --- artificial intelligence --- energy management system --- smart micro-grid --- energy systems --- intelligent buildings --- forecasting --- multi-agent control --- optimization

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english (3)


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2020 (1)

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