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Modelling, Simulation and Control of Thermal Energy Systems

Modelling, Simulation and Control of Thermal Energy Systems

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Faced 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.

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Keywords

  • Active Disturbance Rejection Control
  • air–fuel ratio
  • artificial neural network
  • boiler-turbine unit
  • burning carbon
  • chemical looping
  • coefficient of thermal expansion
  • combustion control
  • combustion engine efficiency
  • CSP plant model
  • deep neural network
  • dynamic matrix control
  • dynamic modeling
  • dynamic states
  • electric and solar vehicles
  • electronic device
  • energy storage operation and planning
  • exergetic analysis
  • film coefficient
  • flip chip component
  • forced convection
  • generalized predictive control (GPC)
  • genetic algorithm
  • heat exchanger
  • heat transfer
  • high temperature low sag conductor
  • History of engineering & technology
  • integrated energy system
  • life prediction
  • load dispatch
  • low sag performance
  • maximum correntropy
  • multi-objective
  • NARMA model
  • operational optimization
  • overhead conductor
  • Parameter estimation
  • power plant control
  • power tracking control
  • Singular weighted method
  • Solar-assisted coal-fired power generation system
  • stacked auto-encoder
  • steam supply scheduling
  • supercritical circulating fluidized bed
  • Technology, engineering, agriculture
  • Technology: general issues
  • thermal fatigue
  • thermal management
  • thermal stress
  • transient analysis
  • two-tank direct energy storage
  • ultra-supercritical unit
  • water properties
  • wavelets
  • ε-constraint method

Links

DOI: 10.3390/books978-3-03943-361-2

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