| 000 | 05903naaaa2200985uu 4500 | ||
|---|---|---|---|
| 001 | https://directory.doabooks.org/handle/20.500.12854/69248 | ||
| 005 | 20220220065153.0 | ||
| 020 | _abooks978-3-03943-361-2 | ||
| 020 | _a9783039433605 | ||
| 020 | _a9783039433612 | ||
| 024 | 7 |
_a10.3390/books978-3-03943-361-2 _cdoi |
|
| 041 | 0 | _aEnglish | |
| 042 | _adc | ||
| 072 | 7 |
_aTBX _2bicssc |
|
| 100 | 1 |
_aLee, Kwang Y. _4edt |
|
| 700 | 1 |
_aFlynn, Damian _4edt |
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| 700 | 1 |
_aXie, Hui _4edt |
|
| 700 | 1 |
_aSun, Li _4edt |
|
| 700 | 1 |
_aLee, Kwang Y. _4oth |
|
| 700 | 1 |
_aFlynn, Damian _4oth |
|
| 700 | 1 |
_aXie, Hui _4oth |
|
| 700 | 1 |
_aSun, Li _4oth |
|
| 245 | 1 | 0 | _aModelling, Simulation and Control of Thermal Energy Systems |
| 260 |
_aBasel, Switzerland _bMDPI - Multidisciplinary Digital Publishing Institute _c2020 |
||
| 300 | _a1 electronic resource (228 p.) | ||
| 506 | 0 |
_aOpen Access _2star _fUnrestricted online access |
|
| 520 | _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. | ||
| 540 |
_aCreative Commons _fhttps://creativecommons.org/licenses/by/4.0/ _2cc _4https://creativecommons.org/licenses/by/4.0/ |
||
| 546 | _aEnglish | ||
| 650 | 7 |
_aHistory of engineering & technology _2bicssc |
|
| 653 | _asupercritical circulating fluidized bed | ||
| 653 | _aboiler-turbine unit | ||
| 653 | _aactive disturbance rejection control | ||
| 653 | _aburning carbon | ||
| 653 | _agenetic algorithm | ||
| 653 | _aSolar-assisted coal-fired power generation system | ||
| 653 | _aSingular weighted method | ||
| 653 | _aload dispatch | ||
| 653 | _aCSP plant model | ||
| 653 | _atransient analysis | ||
| 653 | _apower tracking control | ||
| 653 | _atwo-tank direct energy storage | ||
| 653 | _aelectronic device | ||
| 653 | _aflip chip component | ||
| 653 | _athermal stress | ||
| 653 | _athermal fatigue | ||
| 653 | _alife prediction | ||
| 653 | _acombustion engine efficiency | ||
| 653 | _adynamic states | ||
| 653 | _aartificial neural network | ||
| 653 | _adynamic modeling | ||
| 653 | _athermal management | ||
| 653 | _aparameter estimation | ||
| 653 | _aenergy storage operation and planning | ||
| 653 | _aelectric and solar vehicles | ||
| 653 | _aultra-supercritical unit | ||
| 653 | _adeep neural network | ||
| 653 | _astacked auto-encoder | ||
| 653 | _amaximum correntropy | ||
| 653 | _aheat exchanger | ||
| 653 | _aforced convection | ||
| 653 | _afilm coefficient | ||
| 653 | _aheat transfer | ||
| 653 | _awater properties | ||
| 653 | _aintegrated energy system | ||
| 653 | _aoperational optimization | ||
| 653 | _aair–fuel ratio | ||
| 653 | _acombustion control | ||
| 653 | _adynamic matrix control | ||
| 653 | _apower plant control | ||
| 653 | _ahigh temperature low sag conductor | ||
| 653 | _acoefficient of thermal expansion | ||
| 653 | _aoverhead conductor | ||
| 653 | _alow sag performance | ||
| 653 | _achemical looping | ||
| 653 | _awavelets | ||
| 653 | _aNARMA model | ||
| 653 | _ageneralized predictive control (GPC) | ||
| 653 | _asteam supply scheduling | ||
| 653 | _aexergetic analysis | ||
| 653 | _amulti-objective | ||
| 653 | _aε-constraint method | ||
| 856 | 4 | 0 |
_awww.oapen.org _uhttps://mdpi.com/books/pdfview/book/3035 _70 _zDOAB: download the publication |
| 856 | 4 | 0 |
_awww.oapen.org _uhttps://directory.doabooks.org/handle/20.500.12854/69248 _70 _zDOAB: description of the publication |
| 999 |
_c71671 _d71671 |
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