Design parameter modelling of solar power tower system using adaptive neuro-fuzzy inference system optimized with a combination of genetic algorithm and teaching learning-based optimization algorithm

Determining the optimal sizing of a solar power tower system (SPTS) with a thermal energy storage system is subject to finding the optimum values of design parameters including the solar multiple (SM), design direct normal irradiance (DNI) and thermal storage hours. These design parameters are deter...

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Veröffentlicht in:	Journal of cleaner production Jg. 244; S. 118904
Hauptverfasser:	Khosravi, A., Malekan, M., Pabon, J.J.G., Zhao, X., Assad, M.E.H.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 20.01.2020
Schlagworte:	Afghanistan algorithms Artificial intelligence Bangladesh fuzzy logic Fuzzy system Genetic algorithm India latitude light intensity longitude Pakistan solar energy Solar power tower system Teaching learning-based optimization algorithm thermal energy Thermo-economic analysis Afghanistan Bangladesh Pakistan India Fuzzy system Solar power tower system Genetic algorithm Thermo-economic analysis Teaching learning-based optimization algorithm Artificial intelligence
ISSN:	0959-6526
Online-Zugang:	Volltext
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