Decision-making for renovating the Mediterranean social housing: a practical approach through an interactive open access tool
To achieve 2050 Climate Neutrality, building stock requires a multidimensional renovation process. This is particularly urgent in most vulnerable households, with higher exposure to climate change, where this procedure should focus on cost-controlled passive measures. Given the complexity of identif...
| Autores: | , , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2025 |
| País: | España |
| Institución: | Universidad de Sevilla (US) |
| Repositorio: | idUS. Depósito de Investigación de la Universidad de Sevilla |
| OAI Identifier: | oai:idus.us.es:11441/170961 |
| Acceso en línea: | https://hdl.handle.net/11441/170961 https://doi.org/10.1016/j.enbuild.2025.115629 |
| Access Level: | acceso abierto |
| Palabra clave: | Parametric building stock modelling Multi-objective optimization Investment costs Adaptive thermal comfort Clustering retrofit strategies Deep vs partial renovation |
| Sumario: | To achieve 2050 Climate Neutrality, building stock requires a multidimensional renovation process. This is particularly urgent in most vulnerable households, with higher exposure to climate change, where this procedure should focus on cost-controlled passive measures. Given the complexity of identifying optimal strategies, it is imperative to improve the retrofitting process of the social housing stock to enhance its energy performance guaranteeing health and comfort. For this, an interactive tool was developed focused on the case of southern Spain. Able to provide optimized combinations of energy retrofit strategies, using NSGA-II genetic algorithms and setting two optimization objectives: minimizing thermal discomfort and economic costs. The freely accessible tool was designed with practical and didactic approach to facilitate decision-making. The results obtained suggest the feasibility of implementing phase actions instead of a single large-scale intervention and show the tool’s ability to quantify the percentage of thermal comfort improvement achieves at each phase. |
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