Energy system planning is a difficult task, since it involves long‐term decision‐makings with multiple dimensions: technical, economic, social, ecological, and political. The rise of distributed and multi‐energy systems including new technologies has further increased this complexity. Techno‐economic studies based on optimization models have recently received much attention in the literature. They are essential to grasp energy systems complexity and provide decision support. This work targets methodological issues related to local systems while comparing them with methods used at larger scales. First, a new framework providing a comprehensive vision of added values and limits of optimization models is presented. Then, the main methodological trends as well as several undertaken research paths are identified based on the analysis of more than 60 research papers. The review results are summarized in a complete and concise table. Finally, future research topics are discussed including the operational facets of investment optimization models in case of high intermittent energy shares, flexibility issues and long‐term operational decisions. The results provide useful information to modellers or researchers that look for appropriate and state‐of‐the‐art optimization methods, or aim to deepen current research paths. Hence, they will facilitate the planning and development of energy systems for the future.

中文翻译：

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通过优化模型对当地能源系统进行技术经济规划：当前方法的调查

能源系统规划是一项艰巨的任务，因为它涉及多个层面的长期决策：技术，经济，社会，生态和政治。包括新技术在内的分布式和多能源系统的兴起进一步加剧了这种复杂性。最近，基于优化模型的技术经济研究在文献中受到了很多关注。它们对于掌握能源系统的复杂性并提供决策支持至关重要。这项工作针对与本地系统有关的方法论问题，同时将其与大规模使用的方法进行了比较。首先，提出了一个新框架，该框架提供了对增值和优化模型限制的全面了解。然后，根据对60多个研究论文的分析，确定了主要的方法学趋势以及​​采取的若干研究路径。审查结果汇总在完整简明的表格中。最后，讨论了未来的研究主题，包括在高间歇性能源份额，灵活性问题和长期运营决策的情况下投资优化模型的运营方面。结果为寻求适当和最新优化方法或旨在加深当前研究路径的建模人员或研究人员提供有用的信息。因此，它们将促进未来能源系统的规划和开发。讨论了未来的研究主题，包括在高间歇性能源份额，灵活性问题和长期运营决策的情况下投资优化模型的运营方面。结果为寻求适当和最新优化方法或旨在加深当前研究路径的建模人员或研究人员提供有用的信息。因此，它们将促进未来能源系统的规划和开发。讨论了未来的研究主题，包括在高间歇性能源份额，灵活性问题和长期运营决策的情况下投资优化模型的运营方面。结果为寻求适当和最新优化方法或旨在加深当前研究路径的建模人员或研究人员提供有用的信息。因此，它们将促进未来能源系统的规划和开发。