LEADER 05803nam 2201021z- 450 001 9910557113403321 005 20231214133630.0 035 $a(CKB)5400000000040912 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/69248 035 $a(EXLCZ)995400000000040912 100 $a20202105d2020 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aModelling, Simulation and Control of Thermal Energy Systems 210 $aBasel, Switzerland$cMDPI - Multidisciplinary Digital Publishing Institute$d2020 215 $a1 electronic resource (228 p.) 311 $a3-03943-360-1 311 $a3-03943-361-X 330 $aFaced with an ever-growing resource scarcity and environmental regulations, the last 30 years have witnessed the rapid development of various renewable power sources, such as wind, tidal, and solar power generation. The variable and uncertain nature of these resources is well-known, while the utilization of power electronic converters presents new challenges for the stability of the power grid. Consequently, various control and operational strategies have been proposed and implemented by the industry and research community, with a growing requirement for flexibility and load regulation placed on conventional thermal power generation. Against this background, the modelling and control of conventional thermal engines, such as those based on diesel and gasoline, are experiencing serious obstacles when facing increasing environmental concerns. Efficient control that can fulfill the requirements of high efficiency, low pollution, and long durability is an emerging requirement. The modelling, simulation, and control of thermal energy systems are key to providing innovative and effective solutions. Through applying detailed dynamic modelling, a thorough understanding of the thermal conversion mechanism(s) can be achieved, based on which advanced control strategies can be designed to improve the performance of the thermal energy system, both in economic and environmental terms. Simulation studies and test beds are also of great significance for these research activities prior to proceeding to field tests. This Special Issue will contribute a practical and comprehensive forum for exchanging novel research ideas or empirical practices that bridge the modelling, simulation, and control of thermal energy systems. Papers that analyze particular aspects of thermal energy systems, involving, for example, conventional power plants, innovative thermal power generation, various thermal engines, thermal energy storage, and fundamental heat transfer management, on the basis of one or more of the following topics, are invited in this Special Issue: ? Power plant modelling, simulation, and control; ? Thermal engines; ? Thermal energy control in building energy systems; ? Combined heat and power (CHP) generation; ? Thermal energy storage systems; ? Improving thermal comfort technologies; ? Optimization of complex thermal systems; ? Modelling and control of thermal networks; ? Thermal management of fuel cell systems; ? Thermal control of solar utilization; ? Heat pump control; ? Heat exchanger control. 606 $aHistory of engineering & technology$2bicssc 610 $asupercritical circulating fluidized bed 610 $aboiler-turbine unit 610 $aactive disturbance rejection control 610 $aburning carbon 610 $agenetic algorithm 610 $aSolar-assisted coal-fired power generation system 610 $aSingular weighted method 610 $aload dispatch 610 $aCSP plant model 610 $atransient analysis 610 $apower tracking control 610 $atwo-tank direct energy storage 610 $aelectronic device 610 $aflip chip component 610 $athermal stress 610 $athermal fatigue 610 $alife prediction 610 $acombustion engine efficiency 610 $adynamic states 610 $aartificial neural network 610 $adynamic modeling 610 $athermal management 610 $aparameter estimation 610 $aenergy storage operation and planning 610 $aelectric and solar vehicles 610 $aultra-supercritical unit 610 $adeep neural network 610 $astacked auto-encoder 610 $amaximum correntropy 610 $aheat exchanger 610 $aforced convection 610 $afilm coefficient 610 $aheat transfer 610 $awater properties 610 $aintegrated energy system 610 $aoperational optimization 610 $aair?fuel ratio 610 $acombustion control 610 $adynamic matrix control 610 $apower plant control 610 $ahigh temperature low sag conductor 610 $acoefficient of thermal expansion 610 $aoverhead conductor 610 $alow sag performance 610 $achemical looping 610 $awavelets 610 $aNARMA model 610 $ageneralized predictive control (GPC) 610 $asteam supply scheduling 610 $aexergetic analysis 610 $amulti-objective 610 $a?-constraint method 615 7$aHistory of engineering & technology 700 $aLee$b Kwang Y$4edt$0308549 702 $aFlynn$b Damian$4edt 702 $aXie$b Hui$4edt 702 $aSun$b Li$4edt 702 $aLee$b Kwang Y$4oth 702 $aFlynn$b Damian$4oth 702 $aXie$b Hui$4oth 702 $aSun$b Li$4oth 906 $aBOOK 912 $a9910557113403321 996 $aModelling, Simulation and Control of Thermal Energy Systems$93038143 997 $aUNINA