结合可再生能源以减少碳足迹的住宅需求响应框架

Shalini Pal, R. Verma, R. Kumar
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引用次数: 1

摘要

需求响应(DR)技术可以通过使用可再生能源减少高峰用电、节约能源以及减少碳排放。在需求响应技术的框架下,提出了基于家电的家庭能耗调度。用户行为以基于设备操作的日常能源需求的形式进行计算。可再生能源,如太阳能光伏和燃料电池,被认为是在用户家中可用的发电,可以用于显著减少碳足迹。能源用户还维持使用电动汽车和存储系统。提前一天进行负荷调度,允许电动汽车智能充电和智能家电调度,通过享受负荷服务实体提供的方案,减少碳排放和消费者日常账单收益。仿真结果表明,与DR调度前相比,显著减少了246.8磅的碳足迹,用户每日电费最多节省13.34美元。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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.
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