基于框架的能源系统模型的混合整数线性公式综述

IF 13 Q1 ENERGY & FUELS
Maximilian Hoffmann , Bruno U. Schyska , Julian Bartels , Tristan Pelser , Johannes Behrens , Manuel Wetzel , Hans Christian Gils , Chuen-Fung Tang , Marius Tillmanns , Jan Stock , André Xhonneux , Leander Kotzur , Aaron Praktiknjo , Thomas Vogt , Patrick Jochem , Jochen Linßen , Jann M. Weinand , Detlef Stolten
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引用次数: 0

摘要

基于优化的能源系统建模框架(如 TIMES、ETHOS.FINE 或 PyPSA)已成为勾勒具有成本效益的能源转型的重要工具。因此,许多评论都比较了现有能源系统优化框架在模型功能或适应性方面的能力和应用案例,但普遍忽视了框架的底层数学结构。为了解决这个问题,我们采用了一种混合方法,不仅对 63 个基于优化的能源系统建模框架进行了综述,重点关注其数学实现,而且还对 68 篇现有文献综述进行了元综述。我们的工作表明,自 20 世纪 70 年代最早发表以来,基于网络的能源流优化的基本概念一直未变。因此,在过去十年中,能源系统建模的开源优化框架数量翻了一番还多,这主要是受能源转型和计算机辅助优化技术进步的推动。为了超越定性讨论,我们还定义了一个混合整数优化模型的数学公式,该模型包含了本文讨论的所有模型特征。因此,我们的目标是促进未来面向对象框架的实施,并提高现有框架对能源系统建模人员的可理解性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A review of mixed-integer linear formulations for framework-based energy system models
Optimization-based frameworks for energy system modeling such as TIMES, ETHOS.FINE, or PyPSA have emerged as important tools to outline a cost-efficient energy transition. Consequently, numerous reviews have compared the capabilities and application cases of established energy system optimization frameworks with respect to their model features or adaptability but widely neglect the frameworks’ underlying mathematical structure. This limits their added value for users who not only want to use models but also program them themselves.
To address this issue, we follow a hybrid approach by not only reviewing 63 optimization-based frameworks for energy system modeling with a focus on their mathematical implementation but also conducting a meta-review of 68 existing literature reviews.
Our work reveals that the basic concept of network-based energy flow optimization has remained the same since the earliest publications in the 1970s. Thereby, the number of open-source available optimization frameworks for energy system modeling has more than doubled in the last ten years, mainly driven by the uptake of energy transition and progress in computer-aided optimization.
To go beyond a qualitative discussion, we also define the mathematical formulation for a mixed-integer optimization model comprising all the model features discussed in this work. We thereby aim to facilitate the implementation of future object-oriented frameworks and to increase the comprehensibility of existing ones for energy system modelers.
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来源期刊
Advances in Applied Energy
Advances in Applied Energy Energy-General Energy
CiteScore
23.90
自引率
0.00%
发文量
36
审稿时长
21 days
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