| 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 Author | Chu, Fengming([email protected]) ; Wang, Ruixing([email protected]) |
| Source Publication | ENERGY
 |
| 2022 | |
| Volume | 238Pages:11 |
| ISSN | 0360-5442 |
| Abstract | 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. |
| Keyword | Solar power tower plant system Uncertainty propagation Multi-objective robust optimization Global sensitivity analysis Levelized cost of energy |
| DOI | 10.1016/j.energy.2021.121716 |
| Indexed By | SCI ; EI |
| Language | 英语 |
| WOS ID | WOS:000702849900012 |
| WOS Keyword | SENSITIVITY-ANALYSIS ; DESIGN ; SYSTEMS ; CYCLE ; METHODOLOGY ; MODEL ; FIELD |
| WOS Research Area | Thermodynamics ; Energy & Fuels |
| WOS Subject | Thermodynamics ; Energy & Fuels |
| Funding Project | National Natural Science Foundation of China[51806009] ; State Key Laboratory of Clean Energy Utilization[ZJUCEU2020019] |
| Funding Organization | National Natural Science Foundation of China ; State Key Laboratory of Clean Energy Utilization |
| Classification | 一类 |
| Ranking | 1 |
| Contributor | Chu, Fengming ; Wang, Ruixing |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://dspace.imech.ac.cn/handle/311007/87523 |
| Collection | 流固耦合系统力学重点实验室 |
| Affiliation | 1.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.Rp_Au:Chu, Fengming, Wang, Ruixing |
| 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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| Jp2021F376.pdf（2614KB） | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | View Download | |
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