Modelling, Simulation and Control of Thermal Energy Systems
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 utiliz...
I tiakina i:
| Hōputu: | Online |
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| Reo: | Ingarihi |
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MDPI - Multidisciplinary Digital Publishing Institute
2021
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| Urunga tuihono: | ONIX_20210501_9783039433605_994 |
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Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
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| _version_ | 1869529624642322432 |
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| collection | Directory of Open Access Books |
| description | 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. |
| format | Online |
| id | doab-20.500.12854ir-69248 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-692482024-04-11T15:10:36Z Modelling, Simulation and Control of Thermal Energy Systems Lee, Kwang Y. Flynn, Damian Xie, Hui Sun, Li supercritical circulating fluidized bed boiler-turbine unit active disturbance rejection control burning carbon genetic algorithm Solar-assisted coal-fired power generation system Singular weighted method load dispatch CSP plant model transient analysis power tracking control two-tank direct energy storage electronic device flip chip component thermal stress thermal fatigue life prediction combustion engine efficiency dynamic states artificial neural network dynamic modeling thermal management parameter estimation energy storage operation and planning electric and solar vehicles ultra-supercritical unit deep neural network stacked auto-encoder maximum correntropy heat exchanger forced convection film coefficient heat transfer water properties integrated energy system operational optimization air–fuel ratio combustion control dynamic matrix control power plant control high temperature low sag conductor coefficient of thermal expansion overhead conductor low sag performance chemical looping wavelets NARMA model generalized predictive control (GPC) steam supply scheduling exergetic analysis multi-objective ε-constraint method thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology 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. 2021-05-01T15:44:41Z 2021-05-01T15:44:41Z 2020 book ONIX_20210501_9783039433605_994 9783039433605 9783039433612 https://directory.doabooks.org/handle/20.500.12854/69248 eng application/octet-stream Attribution 4.0 International https://mdpi.com/books/pdfview/book/3035 https://mdpi.com/books/pdfview/book/3035 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-03943-361-2 10.3390/books978-3-03943-361-2 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783039433605 9783039433612 228 Basel, Switzerland open access |
| spellingShingle | supercritical circulating fluidized bed boiler-turbine unit active disturbance rejection control burning carbon genetic algorithm Solar-assisted coal-fired power generation system Singular weighted method load dispatch CSP plant model transient analysis power tracking control two-tank direct energy storage electronic device flip chip component thermal stress thermal fatigue life prediction combustion engine efficiency dynamic states artificial neural network dynamic modeling thermal management parameter estimation energy storage operation and planning electric and solar vehicles ultra-supercritical unit deep neural network stacked auto-encoder maximum correntropy heat exchanger forced convection film coefficient heat transfer water properties integrated energy system operational optimization air–fuel ratio combustion control dynamic matrix control power plant control high temperature low sag conductor coefficient of thermal expansion overhead conductor low sag performance chemical looping wavelets NARMA model generalized predictive control (GPC) steam supply scheduling exergetic analysis multi-objective ε-constraint method thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology Modelling, Simulation and Control of Thermal Energy Systems |
| title | Modelling, Simulation and Control of Thermal Energy Systems |
| title_full | Modelling, Simulation and Control of Thermal Energy Systems |
| title_fullStr | Modelling, Simulation and Control of Thermal Energy Systems |
| title_full_unstemmed | Modelling, Simulation and Control of Thermal Energy Systems |
| title_short | Modelling, Simulation and Control of Thermal Energy Systems |
| title_sort | modelling simulation and control of thermal energy systems |
| topic | supercritical circulating fluidized bed boiler-turbine unit active disturbance rejection control burning carbon genetic algorithm Solar-assisted coal-fired power generation system Singular weighted method load dispatch CSP plant model transient analysis power tracking control two-tank direct energy storage electronic device flip chip component thermal stress thermal fatigue life prediction combustion engine efficiency dynamic states artificial neural network dynamic modeling thermal management parameter estimation energy storage operation and planning electric and solar vehicles ultra-supercritical unit deep neural network stacked auto-encoder maximum correntropy heat exchanger forced convection film coefficient heat transfer water properties integrated energy system operational optimization air–fuel ratio combustion control dynamic matrix control power plant control high temperature low sag conductor coefficient of thermal expansion overhead conductor low sag performance chemical looping wavelets NARMA model generalized predictive control (GPC) steam supply scheduling exergetic analysis multi-objective ε-constraint method thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| topic_facet | supercritical circulating fluidized bed boiler-turbine unit active disturbance rejection control burning carbon genetic algorithm Solar-assisted coal-fired power generation system Singular weighted method load dispatch CSP plant model transient analysis power tracking control two-tank direct energy storage electronic device flip chip component thermal stress thermal fatigue life prediction combustion engine efficiency dynamic states artificial neural network dynamic modeling thermal management parameter estimation energy storage operation and planning electric and solar vehicles ultra-supercritical unit deep neural network stacked auto-encoder maximum correntropy heat exchanger forced convection film coefficient heat transfer water properties integrated energy system operational optimization air–fuel ratio combustion control dynamic matrix control power plant control high temperature low sag conductor coefficient of thermal expansion overhead conductor low sag performance chemical looping wavelets NARMA model generalized predictive control (GPC) steam supply scheduling exergetic analysis multi-objective ε-constraint method thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| url | ONIX_20210501_9783039433605_994 |