{"title":"集成海水淡化的独立混合能源系统的多目标优化和基于成本的输出定价","authors":"Xi Luo, Yanfeng Liu, Xiaojun Liu","doi":"10.1080/0013791X.2020.1853862","DOIUrl":null,"url":null,"abstract":"Abstract The design and operation of hybrid energy systems, which are relevant to remote islands characterized by energy and water supply shortage, have been extensively investigated. However, determining the costs of different system outputs is still a challenging task. In this study, a multi-objective optimization was performed to obtain the optimal design parameters of a hybrid energy system integrated with desalination. As each consumer demand (inclusive of electrical, cooling, and water demands) is highly coupled to the other, output pricing was performed based on cost allocation using the cooperative game theory. The results show that cooling, electricity, and desalinized water can be co-generated efficiently and economically, and the electrical, cooling, and water demands should bear 13.40%, 53.90%, and 32.70%, respectively, of the annualized costs of the entire hybrid energy system. In the proposed model, the cooling demand has the strongest coupling characteristic, whereas the electrical demand has the weakest, because the electricity waste from the photovoltaic/thermal panels allows easier integration of the cooling demands with other demands, for the consumption of excess solar power.","PeriodicalId":49210,"journal":{"name":"Engineering Economist","volume":"66 1","pages":"51 - 70"},"PeriodicalIF":1.0000,"publicationDate":"2020-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/0013791X.2020.1853862","citationCount":"2","resultStr":"{\"title\":\"Multi-objective optimization and cost-based output pricing of a standalone hybrid energy system integrated with desalination\",\"authors\":\"Xi Luo, Yanfeng Liu, Xiaojun Liu\",\"doi\":\"10.1080/0013791X.2020.1853862\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract The design and operation of hybrid energy systems, which are relevant to remote islands characterized by energy and water supply shortage, have been extensively investigated. However, determining the costs of different system outputs is still a challenging task. In this study, a multi-objective optimization was performed to obtain the optimal design parameters of a hybrid energy system integrated with desalination. As each consumer demand (inclusive of electrical, cooling, and water demands) is highly coupled to the other, output pricing was performed based on cost allocation using the cooperative game theory. The results show that cooling, electricity, and desalinized water can be co-generated efficiently and economically, and the electrical, cooling, and water demands should bear 13.40%, 53.90%, and 32.70%, respectively, of the annualized costs of the entire hybrid energy system. In the proposed model, the cooling demand has the strongest coupling characteristic, whereas the electrical demand has the weakest, because the electricity waste from the photovoltaic/thermal panels allows easier integration of the cooling demands with other demands, for the consumption of excess solar power.\",\"PeriodicalId\":49210,\"journal\":{\"name\":\"Engineering Economist\",\"volume\":\"66 1\",\"pages\":\"51 - 70\"},\"PeriodicalIF\":1.0000,\"publicationDate\":\"2020-11-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1080/0013791X.2020.1853862\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Engineering Economist\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://doi.org/10.1080/0013791X.2020.1853862\",\"RegionNum\":4,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"BUSINESS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Engineering Economist","FirstCategoryId":"96","ListUrlMain":"https://doi.org/10.1080/0013791X.2020.1853862","RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"BUSINESS","Score":null,"Total":0}
Multi-objective optimization and cost-based output pricing of a standalone hybrid energy system integrated with desalination
Abstract The design and operation of hybrid energy systems, which are relevant to remote islands characterized by energy and water supply shortage, have been extensively investigated. However, determining the costs of different system outputs is still a challenging task. In this study, a multi-objective optimization was performed to obtain the optimal design parameters of a hybrid energy system integrated with desalination. As each consumer demand (inclusive of electrical, cooling, and water demands) is highly coupled to the other, output pricing was performed based on cost allocation using the cooperative game theory. The results show that cooling, electricity, and desalinized water can be co-generated efficiently and economically, and the electrical, cooling, and water demands should bear 13.40%, 53.90%, and 32.70%, respectively, of the annualized costs of the entire hybrid energy system. In the proposed model, the cooling demand has the strongest coupling characteristic, whereas the electrical demand has the weakest, because the electricity waste from the photovoltaic/thermal panels allows easier integration of the cooling demands with other demands, for the consumption of excess solar power.
Engineering EconomistENGINEERING, INDUSTRIAL-OPERATIONS RESEARCH & MANAGEMENT SCIENCE
CiteScore
2.00
自引率
0.00%
发文量
14
审稿时长
>12 weeks
期刊介绍:
The Engineering Economist is a refereed journal published jointly by the Engineering Economy Division of the American Society of Engineering Education (ASEE) and the Institute of Industrial and Systems Engineers (IISE). The journal publishes articles, case studies, surveys, and book and software reviews that represent original research, current practice, and teaching involving problems of capital investment.
The journal seeks submissions in a number of areas, including, but not limited to: capital investment analysis, financial risk management, cost estimation and accounting, cost of capital, design economics, economic decision analysis, engineering economy education, research and development, and the analysis of public policy when it is relevant to the economic investment decisions made by engineers and technology managers.