{"title":"蒙特卡洛可再生能源规划技术","authors":"C. Indulkar","doi":"10.1109/ICPST.2008.4745150","DOIUrl":null,"url":null,"abstract":"Distributed power generation provides electric power at a site closer to customers. This paper, formulates the problem of optimal utilization of renewable energy options to meet the peak load demand. A Monte Carlo apportioning technique of solar photovoltaic, co-generation, wind power, and small hydro, which considers specific techno-economic constraints, such as capital cost and generation cost constraints, and carbon dioxide emission factors, is described. The proposed method in a single study provides the proportion of the renewable energy sources for maximum generating capacity or lowest generation cost subject to lowest emission or to lowest capital cost.","PeriodicalId":107016,"journal":{"name":"2008 Joint International Conference on Power System Technology and IEEE Power India Conference","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2008-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Monte Carlo Planning Technique for Renewable Energy Sources\",\"authors\":\"C. Indulkar\",\"doi\":\"10.1109/ICPST.2008.4745150\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Distributed power generation provides electric power at a site closer to customers. This paper, formulates the problem of optimal utilization of renewable energy options to meet the peak load demand. A Monte Carlo apportioning technique of solar photovoltaic, co-generation, wind power, and small hydro, which considers specific techno-economic constraints, such as capital cost and generation cost constraints, and carbon dioxide emission factors, is described. The proposed method in a single study provides the proportion of the renewable energy sources for maximum generating capacity or lowest generation cost subject to lowest emission or to lowest capital cost.\",\"PeriodicalId\":107016,\"journal\":{\"name\":\"2008 Joint International Conference on Power System Technology and IEEE Power India Conference\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 Joint International Conference on Power System Technology and IEEE Power India Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICPST.2008.4745150\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 Joint International Conference on Power System Technology and IEEE Power India Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPST.2008.4745150","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Monte Carlo Planning Technique for Renewable Energy Sources
Distributed power generation provides electric power at a site closer to customers. This paper, formulates the problem of optimal utilization of renewable energy options to meet the peak load demand. A Monte Carlo apportioning technique of solar photovoltaic, co-generation, wind power, and small hydro, which considers specific techno-economic constraints, such as capital cost and generation cost constraints, and carbon dioxide emission factors, is described. The proposed method in a single study provides the proportion of the renewable energy sources for maximum generating capacity or lowest generation cost subject to lowest emission or to lowest capital cost.