{"title":"结合可再生能源以减少碳足迹的住宅需求响应框架","authors":"Shalini Pal, R. Verma, R. Kumar","doi":"10.1109/ICITEED.2018.8534910","DOIUrl":null,"url":null,"abstract":"Demand response (DR) technologies can curtail peak electricity usage, preserve energy conservation and, as well as reduce carbon emission by employing renewable energy sources. This paper presents appliances based home energy consumption scheduling in the framework of demand response technologies. The user behavior is accounted in the form of their daily energy need based on the appliance operation. The renewable energy sources such as solar photovoltaic and fuel cell are considered as generation available at the user homes and can be directed towards a significant reduction in carbon footprints. The energy user also sustains the use of electric vehicle and storage system. A day ahead load scheduling is done to allow the smart charging of electric vehicle and scheduling of smart appliances in order to reduce carbon emission and consumer daily bill benefits by indulging in the programs offered by the load-serving entity. The Simulation results demonstrate a significant reduction of 246.8 lbs in carbon footprints and maximum savings of$ 13.34 on users daily electricity bill when compared with before DR scheduling.","PeriodicalId":142523,"journal":{"name":"2018 10th International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Residential Demand Response Framework by Incorporating Renewable Energy Sources to Reduce Carbon Footprints\",\"authors\":\"Shalini Pal, R. Verma, R. Kumar\",\"doi\":\"10.1109/ICITEED.2018.8534910\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Demand response (DR) technologies can curtail peak electricity usage, preserve energy conservation and, as well as reduce carbon emission by employing renewable energy sources. This paper presents appliances based home energy consumption scheduling in the framework of demand response technologies. The user behavior is accounted in the form of their daily energy need based on the appliance operation. The renewable energy sources such as solar photovoltaic and fuel cell are considered as generation available at the user homes and can be directed towards a significant reduction in carbon footprints. The energy user also sustains the use of electric vehicle and storage system. A day ahead load scheduling is done to allow the smart charging of electric vehicle and scheduling of smart appliances in order to reduce carbon emission and consumer daily bill benefits by indulging in the programs offered by the load-serving entity. The Simulation results demonstrate a significant reduction of 246.8 lbs in carbon footprints and maximum savings of$ 13.34 on users daily electricity bill when compared with before DR scheduling.\",\"PeriodicalId\":142523,\"journal\":{\"name\":\"2018 10th International Conference on Information Technology and Electrical Engineering (ICITEE)\",\"volume\":\"3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 10th International Conference on Information Technology and Electrical Engineering (ICITEE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICITEED.2018.8534910\",\"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 10th International Conference on Information Technology and Electrical Engineering (ICITEE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICITEED.2018.8534910","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Residential Demand Response Framework by Incorporating Renewable Energy Sources to Reduce Carbon Footprints
Demand response (DR) technologies can curtail peak electricity usage, preserve energy conservation and, as well as reduce carbon emission by employing renewable energy sources. This paper presents appliances based home energy consumption scheduling in the framework of demand response technologies. The user behavior is accounted in the form of their daily energy need based on the appliance operation. The renewable energy sources such as solar photovoltaic and fuel cell are considered as generation available at the user homes and can be directed towards a significant reduction in carbon footprints. The energy user also sustains the use of electric vehicle and storage system. A day ahead load scheduling is done to allow the smart charging of electric vehicle and scheduling of smart appliances in order to reduce carbon emission and consumer daily bill benefits by indulging in the programs offered by the load-serving entity. The Simulation results demonstrate a significant reduction of 246.8 lbs in carbon footprints and maximum savings of$ 13.34 on users daily electricity bill when compared with before DR scheduling.