Abstract Energy-efficient housing has become a mandatory aim to address climate change. This paper presents a computational analysis taking a French single family house as a case study, and aims to investigate both energy and cost-efficiency of market available retrofit measures using dynamic thermal modelling. A parametric analysis tool was developed to run automated batch-simulations using EnergyPlus simulation engine and to calculate the cost associated with retrofit measures, at each simulation run. The automated simulations are carried out, using an exhaustive search technique, for all permutations of measures. These included different building fabrics, ventilation strategies, levels of air-tightness and 5 different heating systems for 4 main climatic regions of France (7680 variants for each of the 4 climatic region). In this analysis, an optimization problem is set to minimise the delivered energy and retrofitting investment cost subject to an energy-saving minimum limit, payback criterion, and summer overheating-risk. The results showed optimum solutions with different fabric and system retrofit combinations that varied in numbers for the different climatic zones. The upper bound of optimum investment cost varied from 80 to 290 €/m2 for Nice and Paris, respectively.

中文翻译：

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法国住宅能源和成本效益改造措施的计算分析

摘要 节能住宅已成为应对气候变化的强制性目标。本文以法国单户住宅为案例进行了计算分析，旨在使用动态热模型研究市场上可用的改造措施的能源和成本效率。开发了一个参数分析工具，以使用 EnergyPlus 模拟引擎运行自动批量模拟，并在每次模拟运行时计算与改造措施相关的成本。使用详尽的搜索技术对所有测量排列进行自动模拟。其中包括法国 4 个主要气候区的不同建筑结构、通风策略、气密性水平和 5 种不同的供暖系统（4 个气候区中的​​每一个都有 7680 种变体）。在这个分析中，设置优化问题以在节能最低限度、投资回收标准和夏季过热风险下最小化输送能量和改造投资成本。结果显示了具有不同织物和系统改造组合的最佳解决方案，这些组合在不同气候区的数量上有所不同。尼斯和巴黎的最佳投资成本上限分别为 80 至 290 欧元/平方米。