Multi-objective optimization of operational strategy and capacity configuration for hybrid energy system combined with concentrated solar power plant

IF 10.1 1区工程技术 Q1 ENERGY & FUELS

Applied Energy Pub Date : 2025-04-10 DOI:10.1016/j.apenergy.2025.125860

Wei Shuai , Keqin Wang , Tian Zhang , Yibin He , Haoran Xu , Peiwang Zhu , Gang Xiao

{"title":"Multi-objective optimization of operational strategy and capacity configuration for hybrid energy system combined with concentrated solar power plant","authors":"Wei Shuai , Keqin Wang , Tian Zhang , Yibin He , Haoran Xu , Peiwang Zhu , Gang Xiao","doi":"10.1016/j.apenergy.2025.125860","DOIUrl":null,"url":null,"abstract":"<div><div>The hybrid energy system (HES) integrated with concentrated solar power (CSP) offers a promising solution for stable power generation. To enhance reliability and cost-effectiveness of HES, this study investigates the operation of next-generation CSP system based on the solar Brayton cycle, within an HES framework. Three operational strategies (continuous operation, scheduled shutdown and predictive operation) are proposed for the HES which consists of a novel CSP plant, wind turbine, photovoltaic system, electric heater, and battery. Performance indicators including the loss of power supply probability (LPSP), the levelized cost of energy (LCOE) and the potential energy waste probability (PEWP) are evaluated to find optimal capacity configuration in different operational strategies. The results show that the predictive operational strategy achieves the lowest LCOE of 0.1866 USD/kWh with an LPSP of 0, which represents 12.6 % reduction compared to the continuous operational strategy when the PEWP constraint is not considered. However, incorporating the PEWP constraint in the multi-objective optimization increases LCOE across all strategies. Under strict LPSP and PEWP constraints, the scheduled shutdown strategy performs the best, with minimal impact from PEWP constraints when LPSP≤5 %. This work contributes to the improvement of integration and operational efficiency for next-generation renewable energy systems.</div></div>","PeriodicalId":246,"journal":{"name":"Applied Energy","volume":"390 ","pages":"Article 125860"},"PeriodicalIF":10.1000,"publicationDate":"2025-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Energy","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0306261925005902","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENERGY & FUELS","Score":null,"Total":0}

引用次数: 0

Abstract

The hybrid energy system (HES) integrated with concentrated solar power (CSP) offers a promising solution for stable power generation. To enhance reliability and cost-effectiveness of HES, this study investigates the operation of next-generation CSP system based on the solar Brayton cycle, within an HES framework. Three operational strategies (continuous operation, scheduled shutdown and predictive operation) are proposed for the HES which consists of a novel CSP plant, wind turbine, photovoltaic system, electric heater, and battery. Performance indicators including the loss of power supply probability (LPSP), the levelized cost of energy (LCOE) and the potential energy waste probability (PEWP) are evaluated to find optimal capacity configuration in different operational strategies. The results show that the predictive operational strategy achieves the lowest LCOE of 0.1866 USD/kWh with an LPSP of 0, which represents 12.6 % reduction compared to the continuous operational strategy when the PEWP constraint is not considered. However, incorporating the PEWP constraint in the multi-objective optimization increases LCOE across all strategies. Under strict LPSP and PEWP constraints, the scheduled shutdown strategy performs the best, with minimal impact from PEWP constraints when LPSP≤5 %. This work contributes to the improvement of integration and operational efficiency for next-generation renewable energy systems.

查看原文本刊更多论文

求助全文

约1分钟内获得全文求助全文

来源期刊

Applied Energy 工程技术-工程：化工

CiteScore

21.20

自引率

10.70%

发文量

1830

审稿时长

41 days

期刊介绍： Applied Energy serves as a platform for sharing innovations, research, development, and demonstrations in energy conversion, conservation, and sustainable energy systems. The journal covers topics such as optimal energy resource use, environmental pollutant mitigation, and energy process analysis. It welcomes original papers, review articles, technical notes, and letters to the editor. Authors are encouraged to submit manuscripts that bridge the gap between research, development, and implementation. The journal addresses a wide spectrum of topics, including fossil and renewable energy technologies, energy economics, and environmental impacts. Applied Energy also explores modeling and forecasting, conservation strategies, and the social and economic implications of energy policies, including climate change mitigation. It is complemented by the open-access journal Advances in Applied Energy.