{"title":"工业应用智能能源监控管理系统","authors":"K. Collins, M. Mallick, G. Volpe, W. Morsi","doi":"10.1109/EPEC.2012.6474987","DOIUrl":null,"url":null,"abstract":"The increasing demand especially in intensive industrial energy sectors dictates the development of smarter energy management systems. Industrial customers need to understand their energy consumption for the purpose of reducing energy costs, improving company ecological profile, and suggestive feedback scheduling. In this study, an industrial facility was used to demonstrate the importance of managing the energy consumption. To address this issue, an energy monitoring and management system is developed. First, the energy consumption of individual machines is identified. Second, a graphical user interface and operation scheduling are developed and the feedback is provided to the operator through fuzzy inference system. The results reveal significant savings in consumed energy and in dollars over time through the application of the proposed energy monitoring and management system (EMMS) into industrial facilities in intensive energy sectors.","PeriodicalId":118103,"journal":{"name":"2012 IEEE Electrical Power and Energy Conference","volume":"38 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"19","resultStr":"{\"title\":\"Smart energy monitoring and management system for industrial applications\",\"authors\":\"K. Collins, M. Mallick, G. Volpe, W. Morsi\",\"doi\":\"10.1109/EPEC.2012.6474987\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The increasing demand especially in intensive industrial energy sectors dictates the development of smarter energy management systems. Industrial customers need to understand their energy consumption for the purpose of reducing energy costs, improving company ecological profile, and suggestive feedback scheduling. In this study, an industrial facility was used to demonstrate the importance of managing the energy consumption. To address this issue, an energy monitoring and management system is developed. First, the energy consumption of individual machines is identified. Second, a graphical user interface and operation scheduling are developed and the feedback is provided to the operator through fuzzy inference system. The results reveal significant savings in consumed energy and in dollars over time through the application of the proposed energy monitoring and management system (EMMS) into industrial facilities in intensive energy sectors.\",\"PeriodicalId\":118103,\"journal\":{\"name\":\"2012 IEEE Electrical Power and Energy Conference\",\"volume\":\"38 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"19\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 IEEE Electrical Power and Energy Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EPEC.2012.6474987\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE Electrical Power and Energy Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EPEC.2012.6474987","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Smart energy monitoring and management system for industrial applications
The increasing demand especially in intensive industrial energy sectors dictates the development of smarter energy management systems. Industrial customers need to understand their energy consumption for the purpose of reducing energy costs, improving company ecological profile, and suggestive feedback scheduling. In this study, an industrial facility was used to demonstrate the importance of managing the energy consumption. To address this issue, an energy monitoring and management system is developed. First, the energy consumption of individual machines is identified. Second, a graphical user interface and operation scheduling are developed and the feedback is provided to the operator through fuzzy inference system. The results reveal significant savings in consumed energy and in dollars over time through the application of the proposed energy monitoring and management system (EMMS) into industrial facilities in intensive energy sectors.