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Using smart energy storage to increase self- consumption of solar-generated electricity and reduce peak grid load at household and community level

机译:利用智能储能来提高太阳能发电的自费,降低家庭和社区水平的峰值网格载荷

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This paper evaluates how distributed smart storage can bring energy flexibility in a community by reducing average peak load and increasing self-consumption of local solar photovoltaic (PV) electricity at an individual household and aggregated community level, as part of a new community energy research project in a socially-deprived community in south-east England. The research study brings together solar PV power and (behind the meter) smart energy storage across a cluster of 82 households and community centre to create a virtual localised energy grid within the existing infrastructure. The batteries are linked to solar PV in each house, and also have internet connections allowing them to be virtually coupled, so as to ensure that the maximum amount of solar generated electricity is used within the community. The methodological approach of the evaluation comprises dwelling surveys, energy audits, householder interviews, monitoring and evaluation of high frequency household electricity consumption, PV generation, battery charge and discharge data. Householder feedback shows that even in a socially disadvantaged community, as well as being anxious over rising energy bills, householders are still concerned about climate change and the future of energy supplies. In the monitored households, average daily electricity consumption ranges from 2.9 kWh to 21.7 kWh, and is found to be positively related with dwelling size, number of occupants and number of appliances used. Although 155 MWh of solar PV electricity has been generated within a year across 47 households, electricity consumption and generation profiles show that in most households, generation exceeds consumption, but peak generation does not match peak consumption. Analysis of the contribution of smart battery show that self-consumption of PV electricity has increased by 6 % and 12 % in the summer and winter periods respectively. The study seeks to demonstrate the case for a cluster of buildings comprising decentralised renewable generation and smart storage that empower communities to achieve energy flexibility.
机译:本文评估了分布式智能存储如何通过降低个人家庭和聚合社区一级的平均峰值负荷和增加本地太阳能光伏(PV)电力的平均峰值负荷和增加的自我消耗,作为新社区能源研究项目的一部分在英格兰东南部的社会贫困社区中。研究研究将太阳能光伏电源和(在仪表后面)跨越82个家庭和社区中心的智能能量存储,在现有基础设施中创建虚拟局部能量电网。电池与每个房屋中的太阳能光伏有关,并且还具有互联网连接,使其实际上是耦合的,以确保在社区中使用最大的太阳能电力量。评估的方法方法包括住宅调查,能源审计,家庭接受访谈,监测和评估高频家用电力消耗,光伏生成,电池充电和放电数据。住户反馈表明,即使在社会弱势社区,也焦虑的能源票据,住户仍然关注气候变化和能源供应的未来。在受监控的家庭中,平均每日电力消耗范围从2.9千瓦瓦到21.7千瓦时,并被发现与住宅尺寸,占用者数量和所用设备数量正相关。虽然在47户家庭的一年内已经产生了155兆瓦的太阳能光伏电力,但电力消耗和一代型材显示,在大多数家庭中,一代超过消耗,但峰代生成不匹配峰值消耗。智能电池贡献分析表明,夏季和冬季期间,光伏电量的自耗增加了6%和12%。该研究旨在展示一系列建筑物的案例,包括分散的可再生生成和智能存储,使社区能够实现能量灵活性。

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