Aggregating multi-time-scale flexibility potentials of battery storages based on open data – a potential analysis

Q2 Energy Energy Informatics Pub Date : 2023-10-19 DOI:10.1186/s42162-023-00273-4
Michael Lechl, Luis Schoppik, Hermann de Meer
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Abstract

Flexibility potentials are mostly provided by centrally coordinated flexibility resources such as natural-gas-fired power plants. However, the decentralization of power generation combined with the decarbonization of the sector due to the energy transition requires the exploration of new types of flexibility resources. In particular, to reduce dependence on natural-gas-fired power plants, it would be desirable to replace them with alternative flexibility resources. Therefore, the objective of this paper is to analyze, using Germany as an example, to what extent the flexibility potential of already existing battery storage systems can replace the flexibility potential of natural-gas-fired power plants. The methodology used is based on a multi-time-scale flexibility model together with an approach for temporal aggregation of flexibility potentials and two approaches for spatial aggregation of flexibility potentials. Based on the methodology and an analysis of publicly available data, a comprehensive potential analysis is carried out. This analysis shows, among others, that existing battery storage systems have a promising potential to replace a considerable number of natural-gas-fired power plants in Germany in terms of their flexibility potentials.

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基于开放数据聚合电池存储的多时间尺度灵活性潜力——潜力分析
灵活性潜力主要由集中协调的灵活性资源提供,如天然气发电厂。然而,由于能源转型,发电的分散化与该行业的脱碳相结合,需要探索新型的灵活性资源。特别是,为了减少对天然气发电厂的依赖,最好用替代的灵活性资源来取代它们。因此,本文的目的是以德国为例,分析现有电池存储系统的灵活性潜力在多大程度上可以取代天然气发电厂的灵活性潜力。所使用的方法基于多时间尺度的灵活性模型,以及灵活性潜力的时间聚合方法和灵活性潜力的空间聚合方法。根据该方法和对公开数据的分析,进行了全面的潜力分析。该分析表明,就其灵活性潜力而言,现有的电池存储系统有很大潜力取代德国相当多的天然气发电厂。
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来源期刊
Energy Informatics
Energy Informatics Computer Science-Computer Networks and Communications
CiteScore
5.50
自引率
0.00%
发文量
34
审稿时长
5 weeks
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