首页> 外文会议>International Conference on Information Technology and Electrical Engineering >Residential Demand Response Framework by Incorporating Renewable Energy Sources to Reduce Carbon Footprints
【24h】

Residential Demand Response Framework by Incorporating Renewable Energy Sources to Reduce Carbon Footprints

机译:通过整合可再生能源来减少碳足迹的住宅需求响应框架

获取原文

摘要

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.
机译:需求响应(DR)技术可以通过使用可再生能源来减少高峰用电量,保持能源节约以及减少碳排放。本文提出了在需求响应技术框架下基于家用电器的家庭能耗调度。用户行为是基于设备操作以其日常能源需求的形式解决的。诸如太阳能光伏和燃料电池之类的可再生能源被认为是用户家中可利用的发电,可以直接减少碳足迹。能源使用者还维持电动汽车和储能系统的使用。提前一天进行负载调度,以允许电动汽车的智能充电和智能设备的调度,以便通过沉迷于负载服务实体提供的程序来减少碳排放量和消费者的日常账单收益。模拟结果表明,与灾难恢复调度之前相比,碳足迹显着减少了246.8磅,用户每天的电费节省了最多13.34美元。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号