Publicação
O Smart Readiness Indicator como Estímulo ao Aumento da Flexibilidade Energética nos Edifícios - Aplicação ao Departamento de Engenharia Eletrotécnica e de Computadores
| Resumo: | The increasing concern with energy consumption and CO₂ emissions has driven the European Union to adopt guidelines and indicators promoting the sustainability of buildings, as they account for a large portion of energy consumption in Europe. The Smart Readiness Indicator (SRI), introduced by the Energy Performance of Buildings Directive (EPBD), stands out as one of the key tools for assessing building intelligence and their capacity to respond to energy and comfort needs, promoting efficiency and interaction with the power grid. This dissertation provides an in-depth analysis of the SRI, with a practical application to the Department of Electrical and Computer Engineering (DEEC) building, evaluating not only the current state but also potential improvements through different simulation scenarios. Initially, the study revisits the legislative and technological framework of smart buildings, followed by a detailed description of the SRI and its evaluation methodologies. Two simulation scenarios are defined: the first focuses on assessing the impact of each main SRI criterion (energy performance, comfort, and energy flexibility) and the second on implementing improvements based on the EN ISO 52120 standard, which standardizes Building Automation and Control Systems. In the first scenario, the focus is on identifying and understanding which services have the greatest influence on each main SRI criterion and analysing how these specific features impact the other criteria. The second scenario explores interventions based on the EN ISO 52120 standard, applying different levels of intelligence (A, B, and C references) as strategies to improve comfort, energy efficiency, and flexibility of the building. The analysis of the first scenario allowed a detailed assessment of the impact of different services on the main SRI criteria, such as energy performance, flexibility, and user comfort. This knowledge enabled a practical simulation of the DEEC building, providing an integrated view of the interactions between the criteria, considering how each service impacts its main criterion and, indirectly, the others. Through this analysis, it is possible to guide interventions with greater purpose and overall benefit, facilitating future SRI approaches and the prioritization of investments and improvements in buildings, based on a better understanding of service impact. In the second scenario, the practical application based on the EN ISO 52120 standard was analysed through three references—A (highly advanced system), B (advanced system), and C (basic system)—to assess the impact of different intelligence levels on the DEEC building's SRI. Simulations of references A, B, and C revealed that references with higher integration of predictive control, use of renewable energy, and optimized energy management, such as reference A, achieve better results in the SRI, especially in domains with higher energy consumption, such as heating and cooling. Expanding the areas where these references were applied also showed positive impacts on the SRI. In contrast, reference C, with lower automation and control, showed inferior results, emphasizing that viii the lack of such functionalities can negatively impact the SRI. This discrepancy reinforces the need for intelligent and well-distributed systems to maximize the building's performance and sustainability, as well as user comfort. As a result, the dissertation underscores the relevance of the SRI as a decision-making tool, pointing to the beneficial effect of adopting advanced monitoring and control systems, which can bring advantages for energy and comfort management in buildings. |
|---|---|
| Autores principais: | Rodrigues, Alexandre Monteiro |
| Assunto: | automation comfort energy efficiency energy flexibility SRI automação conforto eficiência energética flexibilidade energética SRI |
| Ano: | 2025 |
| País: | Portugal |
| Tipo de documento: | dissertação de mestrado |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | Universidade de Coimbra |
| Idioma: | português |
| Origem: | Estudo Geral - Universidade de Coimbra |
| Resumo: | The increasing concern with energy consumption and CO₂ emissions has driven the European Union to adopt guidelines and indicators promoting the sustainability of buildings, as they account for a large portion of energy consumption in Europe. The Smart Readiness Indicator (SRI), introduced by the Energy Performance of Buildings Directive (EPBD), stands out as one of the key tools for assessing building intelligence and their capacity to respond to energy and comfort needs, promoting efficiency and interaction with the power grid. This dissertation provides an in-depth analysis of the SRI, with a practical application to the Department of Electrical and Computer Engineering (DEEC) building, evaluating not only the current state but also potential improvements through different simulation scenarios. Initially, the study revisits the legislative and technological framework of smart buildings, followed by a detailed description of the SRI and its evaluation methodologies. Two simulation scenarios are defined: the first focuses on assessing the impact of each main SRI criterion (energy performance, comfort, and energy flexibility) and the second on implementing improvements based on the EN ISO 52120 standard, which standardizes Building Automation and Control Systems. In the first scenario, the focus is on identifying and understanding which services have the greatest influence on each main SRI criterion and analysing how these specific features impact the other criteria. The second scenario explores interventions based on the EN ISO 52120 standard, applying different levels of intelligence (A, B, and C references) as strategies to improve comfort, energy efficiency, and flexibility of the building. The analysis of the first scenario allowed a detailed assessment of the impact of different services on the main SRI criteria, such as energy performance, flexibility, and user comfort. This knowledge enabled a practical simulation of the DEEC building, providing an integrated view of the interactions between the criteria, considering how each service impacts its main criterion and, indirectly, the others. Through this analysis, it is possible to guide interventions with greater purpose and overall benefit, facilitating future SRI approaches and the prioritization of investments and improvements in buildings, based on a better understanding of service impact. In the second scenario, the practical application based on the EN ISO 52120 standard was analysed through three references—A (highly advanced system), B (advanced system), and C (basic system)—to assess the impact of different intelligence levels on the DEEC building's SRI. Simulations of references A, B, and C revealed that references with higher integration of predictive control, use of renewable energy, and optimized energy management, such as reference A, achieve better results in the SRI, especially in domains with higher energy consumption, such as heating and cooling. Expanding the areas where these references were applied also showed positive impacts on the SRI. In contrast, reference C, with lower automation and control, showed inferior results, emphasizing that viii the lack of such functionalities can negatively impact the SRI. This discrepancy reinforces the need for intelligent and well-distributed systems to maximize the building's performance and sustainability, as well as user comfort. As a result, the dissertation underscores the relevance of the SRI as a decision-making tool, pointing to the beneficial effect of adopting advanced monitoring and control systems, which can bring advantages for energy and comfort management in buildings. |
|---|