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能源系统优化软件比较及选定框架评估

Comparison of Energy System Optimization Software and Evaluation of Selected Frameworks

Pedro Caixeta, David Gawron, Hüseyin K. Çakmak, Haozhen Cheng

arXiv 2607.16121首次发表:更新:

AI 中文总结

本研究评估REMix、MTRESS、COMANDO、OEMOF和HOMER PRO五种能源系统优化软件工具,通过广泛调研制定标准来比较,分析各工具适用场景,如REMix用于投资路径优化等,为选择合适工具提供参考,因信息不足未完成对MTRESS的分析。

AI 中文摘要

优化能源系统是实现碳中和未来的关键一步,软件工具在该过程中起主要作用。鉴于不同能源系统目标和要求多样,选择合适工具复杂。本研究评估REMix、MTRESS、COMANDO、OEMOF和HOMER PRO这五种软件工具以确定其最适用场景。通过广泛文献等调研并制定比较标准来评估。分析表明,REMix适用于投资路径优化;COMANDO在含非典型组件系统中表现出色;OEMOF是标准优化问题最佳开源工具;HOMER PRO适合寻求快速综合优化的用户。因MTRESS信息不足未完成分析。

英文摘要

Optimizing energy systems is a crucial step toward achieving a carbon-neutral future, with software tools playing a major role in the process. However, selecting the most suitable tool for specific optimization challenges can be complex, given the diverse objectives and requirements of various energy systems. In this study, we aim to address this issue by evaluating five preselected software tools-REMix, MTRESS, COMANDO, OEMOF, and HOMER PRO-to identify the scenarios for which they are most suitable. To achieve this, we conducted an extensive review of literature, documentation, tutorials, and example models, and developed a set of comparison criteria that were subsequently used to evaluate these tools. Our analysis suggests that REMix is particularly effective for scenarios where investment path optimization is required. COMANDO excels in systems with atypical components. OEMOF is the best-suited open-source tool for standard optimization problems. HOMER PRO is recommended for users seeking rapid synthesis optimization, especially those with limited programming experience. Due to difficulties in obtaining sufficient information on MTRESS, we were unable to complete the analysis for this tool.

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