Multi-objective robust optimization of a solar power tower plant under uncertainty

doi:10.1016/j.energy.2021.121716

CORC > 力学研究所 > 中国科学院力学研究所 > 流固耦合系统力学重点实验室(2012-)

	Multi-objective robust optimization of a solar power tower plant under uncertainty
	Luo, Yan 4; Wang, Zhiyuan 4; Zhu, Jiamin 4; Lu, Tao 4; Xiao, Gang 3; Chu, Fengming 4; Wang RX(王睿星)1,2
刊名	ENERGY
	2022
卷号	238 页码:11
关键词	Solar power tower plant system Uncertainty propagation Multi-objective robust optimization Global sensitivity analysis Levelized cost of energy
ISSN号	0360-5442
DOI	10.1016/j.energy.2021.121716
通讯作者	Chu, Fengming(cfm@mail.buct.edu.cn) ; Wang, Ruixing(wangruixing@imech.ac.cn)
英文摘要	The optimal design of a molten salt solar power tower (SPT) plant is sensitive to the variations of uncertainties, such as solar radiation, which result in dispersion of the model output. To mitigate the impacts of uncertainties on the thermo-economic performance of SPT plant, this study develops an uncertainty-based multi-objective robust optimization design method for the case of a SPT plant in Sevilla with the expected value (i.e. the average energy cost) and the standard deviation (i.e. the dispersion of the model output) of the levelized cost of energy (LCOE) as the objectives. The Monte Carlo (MC) simulation and simulated annealing (SA) algorithm are combined to solve the robust optimization problem. The results of Pareto frontier indicate that a trade-off is needed through decision-making. The final optimal solution is determined with expectation of LCOE of 23.09 c/kWhe and standard deviation of LCOE of 1.25 c/kWhe. Compared with the deterministic optimal design, the standard deviation of LCOE of the multi-objective robust optimum is reduced by 17.22 %, which turns out to be less sensitive to the uncertainties. Moreover, the Sobol' global sensitivity analysis results show that the direct solar radiation, heliostat field cost and receiver cost are the most sensitive to LCOE. (C) 2021 Elsevier Ltd. All rights reserved.
分类号	一类
资助项目	National Natural Science Foundation of China[51806009] ; State Key Laboratory of Clean Energy Utilization[ZJUCEU2020019]
WOS关键词	SENSITIVITY-ANALYSIS ; DESIGN ; SYSTEMS ; CYCLE ; METHODOLOGY ; MODEL ; FIELD
WOS研究方向	Thermodynamics ; Energy & Fuels
语种	英语
WOS记录号	WOS:000702849900012
资助机构	National Natural Science Foundation of China ; State Key Laboratory of Clean Energy Utilization
其他责任者	Chu, Fengming ; Wang, Ruixing
内容类型	期刊论文
源URL	[http://dspace.imech.ac.cn/handle/311007/87522]
专题	力学研究所_流固耦合系统力学重点实验室(2012-)
作者单位	1.Univ Chinese Acad Sci, Sch Engn Sci, Beijing 100049, Peoples R China 2.Chinese Acad Sci, Inst Mech, Key Lab Mech Fluid Solid Coupling Syst, Beijing 100190, Peoples R China; 3.Zhejiang Univ, State Key Lab Clean Energy Utilizat, Hangzhou 310027, Peoples R China; 4.Beijing Univ Chem Technol, Sch Mech & Elect Engn, Beijing 100029, Peoples R China;
推荐引用方式 GB/T 7714	Luo, Yan,Wang, Zhiyuan,Zhu, Jiamin,et al. Multi-objective robust optimization of a solar power tower plant under uncertainty[J]. ENERGY,2022,238:11.
APA	Luo, Yan.,Wang, Zhiyuan.,Zhu, Jiamin.,Lu, Tao.,Xiao, Gang.,...&王睿星.(2022).Multi-objective robust optimization of a solar power tower plant under uncertainty.ENERGY,238,11.
MLA	Luo, Yan,et al."Multi-objective robust optimization of a solar power tower plant under uncertainty".ENERGY 238(2022):11.