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Publication
Comparação de soluções digitais para análise da eficiência energética em edifícios residenciais
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Abstract(s)
Impulsionado pelo crescimento populacional, urbanização acelerada e o aumento do acesso à tecnologia, o consumo mundial de energia aumentou de forma considerável nas últimas décadas. Em Portugal, no ano de 2023 os setores industrial, comercial e habitacional foram responsáveis por 80,4% do consumo total de energia. Esse dado reforça que o setor Arquitetura, Engenharia e Construção (AEC), responsável pelo projeto, pela construção e pela manutenção das edificações destinadas aos fins supracitados, possui grande potencial de atuação na aplicação de medidas que promovam a eficiência energética e a otimização do uso de recursos. A adoção de práticas mais eficientes no uso da energia não depende apenas do bom uso e ocupação, mas também de planejamento técnico adequado, idealmente na concepção do projeto. No entanto, ao considerar um país com elevados índices de envelhecimento no parque edificado, como Portugal, é fundamental direcionar os esforços de minimização do consumo de energia para as reabilitações energéticas das edificações existentes. Sob essa ótica, as ferramentas digitais de simulação energética viabilizam decisões mais conscientes e ajustadas, uma vez que permitem simular o comportamento de uma edificação e antecipar os efeitos das medidas aplicadas e, consequentemente, há um maior rigor na tomada de decisão já que esta é baseada em dados concretos retirados das simulações efetuadas. Diante desse contexto, a presente pesquisa adota uma abordagem descritiva e comparativa, na qual duas ferramentas de simulação energética, nomeadamente Cypetherm SCE-HAB e DesignBuilder, serão utilizadas para simular variadas propostas de reabilitação relativamente a uma habitação existente em diferentes contextos geográficos, com o objetivo final de avaliar semelhanças, limitações, metodologia e potencial de aplicação de cada ferramenta. Os resultados obtidos permitiram avaliar o desempenho, usabilidade e aplicação das ferramentas, das quais uma opera com base em análises dinâmicas e a outra, em análises estáticas, o que revelou a adequação de cada abordagem aos diferentes contextos e objetivos presentes em projetos de reabilitação energética.
Driven by population growth, rapid urbanization, and increased access to technology, global energy consumption has increased significantly in recent decades. In Portugal, in 2023, the industrial, commercial, and residential sectors accounted for 80.4% of total energy consumption. This data reinforces that the Architecture, Engineering and Construction (AEC) sector, responsible for the design, construction, and maintenance of buildings intended for the aforementioned purposes, has significant potential to implement measures that promote energy efficiency and optimize resource use. The adoption of more efficient energy practices depends not only on proper use and occupancy but also on appropriate technical planning, ideally during the project design phase. However, when considering a country with a highly aged building stock, such as Portugal, it is essential to direct energy-saving efforts towards the rehabilitation of existing buildings. From this perspective, digital energy simulation tools enable more conscious and accurate decisions, as they allow for the simulation of building behavior and anticipation of the effects of applied measures, which results in greater rigor in decision-making since it is based on concrete data extracted from the simulations. In this context, the present research adopts a descriptive and comparative approach, in which two energy simulation tools, namely Cypetherm SCE-HAB and DesignBuilder, are used to simulate various rehabilitation proposals for an existing dwelling in different geographic contexts, with the ultimate goal of evaluating similarities, limitations, methodology, and the application potential of each tool. The results made it possible to assess the performance, usability, and application of the tools, one of which operates based on dynamic analyses and the other on static analyses, which revealed the suitability of each approach to the different contexts and goals found in energy rehabilitation projects.
Driven by population growth, rapid urbanization, and increased access to technology, global energy consumption has increased significantly in recent decades. In Portugal, in 2023, the industrial, commercial, and residential sectors accounted for 80.4% of total energy consumption. This data reinforces that the Architecture, Engineering and Construction (AEC) sector, responsible for the design, construction, and maintenance of buildings intended for the aforementioned purposes, has significant potential to implement measures that promote energy efficiency and optimize resource use. The adoption of more efficient energy practices depends not only on proper use and occupancy but also on appropriate technical planning, ideally during the project design phase. However, when considering a country with a highly aged building stock, such as Portugal, it is essential to direct energy-saving efforts towards the rehabilitation of existing buildings. From this perspective, digital energy simulation tools enable more conscious and accurate decisions, as they allow for the simulation of building behavior and anticipation of the effects of applied measures, which results in greater rigor in decision-making since it is based on concrete data extracted from the simulations. In this context, the present research adopts a descriptive and comparative approach, in which two energy simulation tools, namely Cypetherm SCE-HAB and DesignBuilder, are used to simulate various rehabilitation proposals for an existing dwelling in different geographic contexts, with the ultimate goal of evaluating similarities, limitations, methodology, and the application potential of each tool. The results made it possible to assess the performance, usability, and application of the tools, one of which operates based on dynamic analyses and the other on static analyses, which revealed the suitability of each approach to the different contexts and goals found in energy rehabilitation projects.
Description
Mestrado de dupla diplomação com o Centro Federal de Educação Tecnológica de Minas Gerais – CEFET-MG
Keywords
Eficiência energética Reabilitação de edificações Simulação computacional Ferramentas de análise energética