IMECH-IR  > 流固耦合系统力学重点实验室
Multi-objective robust optimization of a solar power tower plant under uncertainty
Luo, Yan1; Wang, Zhiyuan1; Zhu, Jiamin1; Lu, Tao1; Xiao, Gang2; Chu, Fengming1; Wang RX(王睿星)3,4
Corresponding AuthorChu, Fengming(cfm@mail.buct.edu.cn) ; Wang, Ruixing(wangruixing@imech.ac.cn)
Source PublicationENERGY
2022
Volume238Pages:11
ISSN0360-5442
AbstractThe 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.
KeywordSolar power tower plant system Uncertainty propagation Multi-objective robust optimization Global sensitivity analysis Levelized cost of energy
DOI10.1016/j.energy.2021.121716
Indexed BySCI ; EI
Language英语
WOS IDWOS:000702849900012
WOS KeywordSENSITIVITY-ANALYSIS ; DESIGN ; SYSTEMS ; CYCLE ; METHODOLOGY ; MODEL ; FIELD
WOS Research AreaThermodynamics ; Energy & Fuels
WOS SubjectThermodynamics ; Energy & Fuels
Funding ProjectNational Natural Science Foundation of China[51806009] ; State Key Laboratory of Clean Energy Utilization[ZJUCEU2020019]
Funding OrganizationNational Natural Science Foundation of China ; State Key Laboratory of Clean Energy Utilization
Classification一类
Ranking1
ContributorChu, Fengming ; Wang, Ruixing
Citation statistics
Cited Times:2[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://dspace.imech.ac.cn/handle/311007/87523
Collection流固耦合系统力学重点实验室
Affiliation1.Beijing Univ Chem Technol, Sch Mech & Elect Engn, Beijing 100029, Peoples R China;
2.Zhejiang Univ, State Key Lab Clean Energy Utilizat, Hangzhou 310027, Peoples R China;
3.Chinese Acad Sci, Inst Mech, Key Lab Mech Fluid Solid Coupling Syst, Beijing 100190, Peoples R China;
4.Univ Chinese Acad Sci, Sch Engn Sci, Beijing 100049, Peoples R China
Recommended Citation
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.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Luo, Yan]'s Articles
[Wang, Zhiyuan]'s Articles
[Zhu, Jiamin]'s Articles
Baidu academic
Similar articles in Baidu academic
[Luo, Yan]'s Articles
[Wang, Zhiyuan]'s Articles
[Zhu, Jiamin]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Luo, Yan]'s Articles
[Wang, Zhiyuan]'s Articles
[Zhu, Jiamin]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.