中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Multi-objective robust optimization of a solar power tower plant under uncertainty

文献类型:期刊论文

作者Luo, Yan4; Wang, Zhiyuan4; Zhu, Jiamin4; Lu, Tao4; Xiao, Gang3; Chu, Fengming4; Wang RX(王睿星)1,2
刊名ENERGY
出版日期2022
卷号238页码:11
ISSN号0360-5442
关键词Solar power tower plant system Uncertainty propagation Multi-objective robust optimization Global sensitivity analysis Levelized cost of energy
DOI10.1016/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
WOS关键词SENSITIVITY-ANALYSIS ; DESIGN ; SYSTEMS ; CYCLE ; METHODOLOGY ; MODEL ; FIELD
资助项目National Natural Science Foundation of China[51806009] ; State Key Laboratory of Clean Energy Utilization[ZJUCEU2020019]
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
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.

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来源:力学研究所

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