各种类型非住宅建筑中用于调峰应用的电池储能系统

Elena Paul, Jakob Schäuble, Hamidreza Heidar Esfehani, A. Bensmann, D. Bohne, R. Hanke-Rauschenbach
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引用次数: 2

摘要

电池储能系统(BESS)与光伏(PV)系统一起,在德国家庭中变得越来越有吸引力,以增加光伏自用和降低电力成本。例如,对于大型和电力密集型消费者,在工业部门,BESS的调峰也可以是一个有吸引力的选择,以减少消费者的网络费用。本研究着重于BESS在德国非住宅部门调峰应用的潜力,考虑了四种类型的非住宅建筑:办公室、消防站、酒店和体育中心。根据具体的安装成本和电网需求限制,结果提供了有利可图的BESS尺寸的概述。此外,光伏系统可以帮助减少在期望的电网需求限制内维持最大需求所需的存储容量。此外,利用BESS调峰可以增强建筑物的电网支持特性,尽管在当前的价格条件下,相应的BESS规模在经济上是不可行的。然而,如果消费者有机会利用批发市场价格信号,电网支持特性的增强可能成为一种激励。关键词:电池储能系统,锂离子电池,调峰,负荷分布,光伏发电系统,非住宅建筑,电网收费,财务分析,敏感性分析
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Battery Storage Systems in Various Types of Non-Residential Buildings for Peak Shaving Application
Battery Energy Storage Systems (BESS) are becoming increasingly attractive for German households together with photovoltaic (PV) systems to increase the PV selfconsumption and reduce electricity costs. For large and powerintensive consumers, for instance, in the industrial sector, peak shaving with BESS can be an attractive option to reduce the consumer’s network charges as well. This study focuses on the potential of BESS for peak shaving application in the nonresidential sector in Germany, considering four types of nonresidential buildings: office, fire station, hotel and sports center. Results provide an overview of profitable BESS sizes depending on specific installation costs and grid demand limit. Additionally, PV systems could help to reduce the necessary storage capacity for maintaining the maximum demand within the desired grid demand limit. Furthermore, peak shaving with BESS could enhance the grid support characteristics of the buildings, although the corresponding BESS sizes would not be economically feasible under current pricing conditions. However, the enhancement of the grid support characteristics could become an incentive, if consumers would get the opportunity to exploit wholesale market price signals. Keywords—battery energy storage system, lithium-ion battery, peak shaving, electric load profile, photovoltaic (PV) power systems, non-residential buildings, network charges, financial analysis, sensitivity analysis
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