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Authors
Abstract(s)
Este trabalho teve como objetivo o desenvolvimento de arquétipos representativos do parque
habitacional português tendo em vista a simulação do desempenho térmico e energético de edifícios,
acabando o seu âmbito por se focar especificamente em apartamentos, que constituem a tipologia
habitacional onde reside quase metade da população. A criação destes arquétipos visa resolver a escassez
de modelos de acesso livre que integrem a geometria e os materiais de construção. A metodologia
adotada inclui a simplificação de plantas habitacionais reais e a validação rigorosa dos modelos, de
forma a garantir o rigor e a representatividade das habitações modeladas.
Os modelos concebidos são compatíveis com o software EnergyPlus, permitindo que futuros
estudos efetuem simulações energéticas detalhadas e possibilitando análises de desempenho térmico e
energético dos edifícios. A principal limitação identificada ao longo deste estudo foi a falta de
informação detalhada sobre habitações unifamiliares térreas, o que acabou por condicionar o âmbito da
investigação à tipologia de apartamentos. Contudo, os resultados obtidos fornecem uma representação
fiável e detalhada dos edifícios estudados, o que é relevante tanto para o contexto académico como para
a aplicação prática dos estudos de eficiência energética de edifícios.
A criação desta base de dados de arquétipos constitui uma ferramenta valiosa, que poderá ser
utilizada como referência para estudos futuros, promovendo a continuidade da investigação sobre o
parque habitacional e a eficiência energética em Portugal. Entre as sugestões para futuros trabalhos,
destaca-se a expansão dos arquétipos para abranger habitações unifamiliares térreas, que representam
uma parcela significativa do setor habitacional português. A realização de simulações energéticas
completas, incorporando dados concretos sobre a operação dos edifícios e sistemas de climatização, com
o objetivo de comparar os resultados simulados com os valores reais de consumo energético das
habitações existentes constituirá outra das oportunidades de investigação a desenvolver.
This research aimed to develop representative archetypes of the Portuguese housing stock, with its focus specifically on apartments, which are the most common housing type in Portugal. The creation of these archetypes seeks to address the lack of available data regarding the geometry, construction materials, and other elements of Portuguese dwellings. The adopted methodology includes the simplification of real housing floor plans and the rigorous validation of the models to ensure the accuracy and representativeness of the modelled dwellings. The models created are compatible with the EnergyPlus software, enabling future research to conduct detailed energy simulations and allowing for the analysis of thermal and energy performance of the buildings. The main limitation identified during this study was the lack of detailed information on single-story detached houses, which ultimately constrained the scope of the research to apartment typologies. However, the results provide a reliable and detailed representation of the studied buildings, which is relevant both for academic purposes and for the practical application of energy efficiency studies in buildings. The creation of this database of archetypes constitutes a valuable tool that can serve as a reference for future research, promoting the continuation of studies on the housing stock and energy efficiency in Portugal. Among the suggestions for future work, the expansion of the archetypes to include singlestory detached houses, which represent a significant portion of the Portuguese housing sector, stands out. Additionally, conducting comprehensive energy simulations, incorporating concrete data on building operations and HVAC systems, with the aim of comparing simulated results with the actual energy consumption values of existing dwellings, presents another valuable research opportunity to be explored.
This research aimed to develop representative archetypes of the Portuguese housing stock, with its focus specifically on apartments, which are the most common housing type in Portugal. The creation of these archetypes seeks to address the lack of available data regarding the geometry, construction materials, and other elements of Portuguese dwellings. The adopted methodology includes the simplification of real housing floor plans and the rigorous validation of the models to ensure the accuracy and representativeness of the modelled dwellings. The models created are compatible with the EnergyPlus software, enabling future research to conduct detailed energy simulations and allowing for the analysis of thermal and energy performance of the buildings. The main limitation identified during this study was the lack of detailed information on single-story detached houses, which ultimately constrained the scope of the research to apartment typologies. However, the results provide a reliable and detailed representation of the studied buildings, which is relevant both for academic purposes and for the practical application of energy efficiency studies in buildings. The creation of this database of archetypes constitutes a valuable tool that can serve as a reference for future research, promoting the continuation of studies on the housing stock and energy efficiency in Portugal. Among the suggestions for future work, the expansion of the archetypes to include singlestory detached houses, which represent a significant portion of the Portuguese housing sector, stands out. Additionally, conducting comprehensive energy simulations, incorporating concrete data on building operations and HVAC systems, with the aim of comparing simulated results with the actual energy consumption values of existing dwellings, presents another valuable research opportunity to be explored.
Description
Tese de mestrado, Engenharia da Energia e Ambiente, 2025, Universidade de Lisboa, Faculdade de Ciências
Keywords
Edifícios residenciais Edifícios de Referência Desempenho energético Arquétipos Simulação de edifícios Teses de mestrado - 2025
