A. Carboni, S. Barcellona, L. Piegari, A. Ferrero, E. Ragaini
{"title":"储能系统调测工具","authors":"A. Carboni, S. Barcellona, L. Piegari, A. Ferrero, E. Ragaini","doi":"10.1109/SPEEDAM.2018.8445363","DOIUrl":null,"url":null,"abstract":"Up to few years ago, one of the main problems in the optimal design of a battery energy storage system (BESS) was the availability of both the generation (e.g. renewable sources) and load power profiles of the considered plant. This paradigm has limited the potential of BESSs to drive down overall energy costs and reduce carbon emissions. Nowadays, the exponential growth of data available on the industrial plants has opened the way to new possibilities and opportunities. In addition, BESSs are a viable opportunity to start transforming existing plants with an incremental hybridization of the plant topology. In light of the above, this work develops a commissioning tool that, starting from the data collected on the field, provides the final users the optimal dimensioning of any BESS - according to the taraet performances required bv the specific application.","PeriodicalId":117883,"journal":{"name":"2018 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An Energy Storage System Commissioning Tool\",\"authors\":\"A. Carboni, S. Barcellona, L. Piegari, A. Ferrero, E. Ragaini\",\"doi\":\"10.1109/SPEEDAM.2018.8445363\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Up to few years ago, one of the main problems in the optimal design of a battery energy storage system (BESS) was the availability of both the generation (e.g. renewable sources) and load power profiles of the considered plant. This paradigm has limited the potential of BESSs to drive down overall energy costs and reduce carbon emissions. Nowadays, the exponential growth of data available on the industrial plants has opened the way to new possibilities and opportunities. In addition, BESSs are a viable opportunity to start transforming existing plants with an incremental hybridization of the plant topology. In light of the above, this work develops a commissioning tool that, starting from the data collected on the field, provides the final users the optimal dimensioning of any BESS - according to the taraet performances required bv the specific application.\",\"PeriodicalId\":117883,\"journal\":{\"name\":\"2018 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SPEEDAM.2018.8445363\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SPEEDAM.2018.8445363","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Up to few years ago, one of the main problems in the optimal design of a battery energy storage system (BESS) was the availability of both the generation (e.g. renewable sources) and load power profiles of the considered plant. This paradigm has limited the potential of BESSs to drive down overall energy costs and reduce carbon emissions. Nowadays, the exponential growth of data available on the industrial plants has opened the way to new possibilities and opportunities. In addition, BESSs are a viable opportunity to start transforming existing plants with an incremental hybridization of the plant topology. In light of the above, this work develops a commissioning tool that, starting from the data collected on the field, provides the final users the optimal dimensioning of any BESS - according to the taraet performances required bv the specific application.