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We highlight the significant role of residential buildings in Germany’s greenhouse gas emissions and emphasize the need for effective renovation strategies to meet climate targets by 2045. We point out that there are few holistic optimization frameworks that simultaneously address the critical questions of which actions to take, in which buildings, and when. Our approach focuses on developing a mathematically rigorous optimization framework using mixed-integer linear programming (MILP) models and Benders decomposition to identify optimally timed and allocated measures for reducing emissions while ensuring exactness and comprehensiveness.

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Introduction

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  • 发表日期：

    2025年

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  • Roman Delorme

摘要

We highlight the significant role of residential buildings in Germany’s greenhouse gas emissions and emphasize the need for effective renovation strategies to meet climate targets by 2045. We point out that there are few holistic optimization frameworks that simultaneously address the critical questions of which actions to take, in which buildings, and when. Our approach focuses on developing a mathematically rigorous optimization framework using mixed-integer linear programming (MILP) models and Benders decomposition to identify optimally timed and allocated measures for reducing emissions while ensuring exactness and comprehensiveness.