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Electrical energy storage in highly renewable European energy systems: Capacity requirements, spatial distribution, and storage dispatch

机译:高可再生欧洲能源系统中的电能存储:容量要求,空间分布和储存派遣

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摘要

One of the major challenges of renewable energy systems is the inherently limited dispatchability of power generators that rely on variable renewable energy (VRE) sources. To overcome this insufficient system flexibility, electrical energy storage (EES) is a promising option. The first contribution of our work is to address the role of EES in highly renewable energy systems in Europe. For this purpose, we apply the energy system model REMix which endogenously determines both capacity expansion and dispatch of all electricity generation as well as storage technologies. We derive an EES capacity of 206 GW and 30 TWh for a system with a renewable share of 89%, relative to the annual gross power generation. An extensive sensitivity analysis shows that EES requirements range from 126 GW and 16 TWh (endogenous grid expansion) to 272 GW and 54 TWh (low EES investment costs). As our second contribution, we show how the spatial distribution of EES capacity depends on the residual load, which–in turn–is influenced by regionally predominant VRE technologies and their temporal characteristics in terms of power generation. In this sense, frequent periods of high VRE excess require short-term EES, which naturally feature low power-related investment costs. In contrast, long-term EES with low energy-related costs are characteristic for regions where high amounts of surplus energy occur. This relationship furthermore underlines how EES capacity distribution is implicitly influenced by technical potentials for VRE expansion.
机译:可再生能源系统的主要挑战之一是依赖可变可再生能源(VRE)源的发电机的固有有限的常规性。为了克服这种不足的系统灵活性,电能存储(EES)是一个有前途的选择。我们工作的第一次贡献是解决EES在欧洲高度可再生能源系统中的作用。为此目的,我们应用能源系统模型混音,内省内源地确定所有发电的容量扩展和派遣以及存储技术。我们相对于年度发电,我们派生206 GW和30 TWH的ees容量和30 TWH,其可再生份额为89%。广泛的敏感性分析表明,EES要求从126 GW和16 TWH(内源网格扩展)到272 GW和54 TWH(低EES投资成本)。作为我们的第二款贡献,我们展示了EES容量的空间分布如何取决于残留载荷,这反过来受到区域主要的VRE技术的影响及其在发电方面的时间特征。从这个意义上讲,频繁的高速VRE过量需要短期EES,这自然具有低功耗相关的投资成本。相比之下,能量相关成本低的长期EE是发生大量剩余能量的地区的特征。这种关系进一步强调了EES容量分布的隐含受到VRE扩张的技术潜力的隐含影响。

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