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Optimal placement of electrolysers in a German power-to-gas infrastructure

机译:在德国电力天然气基础设施中优化放置电解槽

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The greenhouse gas targets of the German federal government can only be achieved if all energy sectors reduce their emissions. For the transportation sector, in particular, this will be a challenge. A possible solution is to use renewable hydrogen as fuel, e.g. in fuel cell vehicles, and IEK-3 has shown that this will allow the 2030 greenhouse gas targets to be achieved. Renewable hydrogen will be produced by electrolysis using the excess of renewable energy. For large-scale application, there is a need to identify the most socio-economically favorable locations of the electrolysers and their connections by electronic components such as rectifier, buck converter or filters. Here, we present and apply a regional model designed to identify locations of high excess renewable energy, which could be good candidates for electrolysers. The model is based on the hourly electrical load and renewable energy generation in all 11,268 townships of Germany. Load data is taken from a previous study, while weather data is used to model all photovoltaic panels (31.452 GW) and wind turbines (31.022 GW) of Germany. Results show that over 600 regions have an excess renewable generation, mainly in Schleswig-Holstein, Lower Saxony and Bavaria.
机译:只有所有能源部门都减少其排放量,德国联邦政府的温室气体目标才能实现。特别是对于运输部门,这将是一个挑战。一种可能的解决方案是使用可再生氢作为燃料,例如IEK-3表明,这将使2030年的温室气体目标得以实现。使用过量的可再生能源通过电解生产可再生氢。对于大规模应用,需要通过诸如整流器,降压转换器或滤波器之类的电子组件来确定电解槽的最社会经济上有利的位置及其连接。在这里,我们介绍并应用一种区域模型,该模型旨在确定高过量可再生能源的位置,这可能是电解槽的良好候选者。该模型基于德国所有11268个乡镇的小时电力负荷和可再生能源发电量。负载数据取自先前的研究,而天气数据则用于对德国的所有光伏板(31.452 GW)和风力涡轮机(31.022 GW)进行建模。结果表明,超过600个地区的可再生能源发电量过多,主要分布在石勒苏益格-荷尔斯泰因州,下萨克森州和巴伐利亚州。

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