Dimensioning of Community Energy Storages for Multi-Use Purposes using Households’ Storage Requirements

M. Böhringer, Achraf Kharrat, J. Hanson, David Petermann, N. Büchau, Christian Hein, Sebastian Baumann, C. Preusche
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Abstract

In this paper, a method is presented to determine community energy storage’s size in residential districts. To identify required storage size, different clusters are formed for households’ storage requirements. Clusters are differing in generation and load size, as well as using heat pumps and/or electric vehicle charging stations. Maximum installed capacity of photovoltaics plays a relevant role in cluster classification as well. Taking corresponding needs from multi-use operation into account, the model is extended accordingly. It becomes clear that relevant for shared storage sizing are the months in spring and autumn. Major drivers during these months are the use of electric heat pumps as well as installed photovoltaic capacity. In contrast, electric vehicle charging stations generally increases storage shares across all months and all clusters. Using storage shares determined for clusters and characteristics, potential for secondary use is determined on two different bases in a second step of the analysis. Results show that during spring and autumn, storage is mostly used by households. By contrast during summer and winter, up to 85% is available for other services. Findings are finally determined using an example of residential district in the region of Darmstadt, South Hesse. The proportion of available flexibility is expected to be high, with a maximum of almost 87 % in the month of December.
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基于家庭存储需求的多用途社区储能的量纲化
本文提出了一种确定居住区社区储能规模的方法。为了确定所需的存储容量,根据住户的存储需求形成不同的集群。集群在发电和负载大小以及使用热泵和/或电动汽车充电站方面有所不同。光伏发电的最大装机容量在集群分类中也起着相关的作用。考虑到多用途操作的相应需求,对模型进行了相应的扩展。很明显,与共享存储大小相关的月份是春季和秋季。这几个月的主要驱动因素是电热泵的使用以及安装的光伏容量。相比之下,电动汽车充电站通常会在所有月份和所有集群中增加存储份额。在分析的第二步中,使用为集群和特征确定的存储份额,在两个不同的基础上确定二次使用的可能性。结果表明,春季和秋季,储粮以户用为主。相比之下,在夏季和冬季,高达85%的空间可用于其他服务。研究结果最终以南黑森州达姆施塔特地区的一个住宅区为例确定。灵活工作时间的比例预计会很高,在12月份最高可达近87%。
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