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首页> 外文会议>eceee summer study on energy efficiency >Using smart energy storage to increase self- consumption of solar-generated electricity and reduce peak grid load at household and community level
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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：使用智能储能增加太阳能发电的自耗并减少家庭和社区一级的峰值电网负荷

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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平均峰值负载并增加单个家庭和聚集社区级别的本地太阳能光伏（PV）电力的自耗，来为社区带来能源灵活性，这是新的社区能源研究项目的一部分在英格兰东南部一个被社会剥夺的社区中。这项研究将太阳能光伏发电和（在电表后面）横跨82个家庭和社区中心的集群整合在一起，以在现有基础架构中创建虚拟的本地化能源网格。电池与每个房屋中的太阳能PV相连，并且具有互联网连接，可以虚拟耦合，以确保在社区内使用最大量的太阳能发电。评估的方法学方法包括住所调查，能源审计，住户访谈，监测和评估高频家庭用电量，光伏发电，电池充放电数据。住户的反馈表明，即使在社会上处于不利地位的社区，以及对不断上涨的能源费用感到担忧的同时，住户仍然对气候变化和能源供应的未来感到担忧。在受监控的家庭中，平均每日耗电量在2.9 kWh至21.7 kWh之间，并且与住宅规模，居住人数和使用的电器数量成正相关。尽管一年内在47个家庭中产生了155兆瓦时的太阳能光伏发电，但用电量和发电量概况显示，在大多数家庭中，发电量超过了用电量，但峰值发电量与峰值用电量并不匹配。对智能电池贡献的分析表明，光伏电的自耗在夏季和冬季分别增加了6％和12％。该研究旨在证明由分散式可再生能源发电和智能存储组成的建筑物群的案例，这些建筑物使社区能够实现能源灵活性。

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