Method for the Efficient Determination of Transformation Paths for Sector-Integrated Energy Systems

Julian Walter, Falko Wähner, Leonie Rudolph, Henrik Schwaeppe, A. Moser
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Abstract

An increased complexity of the energy system and the goal of the European Union to achieve net-zero greenhouse gas emissions by 2050 lead to a higher demand for energy system modeling and the determination of transformation paths. This paper extends an existing linear optimization model for energy system planning by three approaches to determine transformation paths in multiple steps. The three approaches, Perfect Foresight, Myopic Forecasting, and Myopic Backcasting, are presented and compared based on a simplified 41-nodes network representing a sector-integrated European energy system with a clear focus on Germany. The results prove that Myopic Forecasting and Myopic Backcasting significantly reduce the computation time but show higher total costs.
部门集成能源系统转换路径的有效确定方法
能源系统的复杂性增加,以及欧盟到2050年实现温室气体净零排放的目标,导致对能源系统建模和确定转型路径的更高需求。本文扩展了现有的能源系统规划线性优化模型,采用三种方法确定多步骤的转换路径。本文以一个简化的41节点网络为基础,对完美预见(Perfect Foresight)、近视预测(Myopic Forecasting)和近视反向预测(Myopic Backcasting)这三种方法进行了介绍和比较,该网络代表了一个以德国为重点的行业一体化欧洲能源系统。结果表明,近视眼预测和近视眼反演显著减少了计算时间,但总成本较高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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