{"title":"带储能的扩展热电联产电厂的优化——一种开源方法","authors":"Jakob Wolf, C. P. Leusden, S. Köhler, Jann Launer","doi":"10.2991/ires-19.2019.18","DOIUrl":null,"url":null,"abstract":"An extended CHP system in a characteristic future market situation with a share of 50% electric energy provided by renewable energy sources is analysed using the open energy modelling framework oemof. Cost-optimal plant configurations are computed based upon assumptions for investments costs and energy prices. The results show that thermal storages are always integrated in the optimum plant layout with little sensitivity to all assumptions. A storage for electrical energy is only considered if sufficiently high price periods occur in the electric energy market. This result is highly sensitive to assumptions regarding storage cost and energy prices. The model is made available open-source for further use.","PeriodicalId":424726,"journal":{"name":"Proceedings of the 13th International Renewable Energy Storage Conference 2019 (IRES 2019)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Optimization of Extended CHP Plants with Energy Storages — an Open-Source Approach\",\"authors\":\"Jakob Wolf, C. P. Leusden, S. Köhler, Jann Launer\",\"doi\":\"10.2991/ires-19.2019.18\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An extended CHP system in a characteristic future market situation with a share of 50% electric energy provided by renewable energy sources is analysed using the open energy modelling framework oemof. Cost-optimal plant configurations are computed based upon assumptions for investments costs and energy prices. The results show that thermal storages are always integrated in the optimum plant layout with little sensitivity to all assumptions. A storage for electrical energy is only considered if sufficiently high price periods occur in the electric energy market. This result is highly sensitive to assumptions regarding storage cost and energy prices. The model is made available open-source for further use.\",\"PeriodicalId\":424726,\"journal\":{\"name\":\"Proceedings of the 13th International Renewable Energy Storage Conference 2019 (IRES 2019)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 13th International Renewable Energy Storage Conference 2019 (IRES 2019)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2991/ires-19.2019.18\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 13th International Renewable Energy Storage Conference 2019 (IRES 2019)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2991/ires-19.2019.18","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimization of Extended CHP Plants with Energy Storages — an Open-Source Approach
An extended CHP system in a characteristic future market situation with a share of 50% electric energy provided by renewable energy sources is analysed using the open energy modelling framework oemof. Cost-optimal plant configurations are computed based upon assumptions for investments costs and energy prices. The results show that thermal storages are always integrated in the optimum plant layout with little sensitivity to all assumptions. A storage for electrical energy is only considered if sufficiently high price periods occur in the electric energy market. This result is highly sensitive to assumptions regarding storage cost and energy prices. The model is made available open-source for further use.