This book is structured in four parts: First, it analyzes the sustainability objectives established for the building stock and the importance of thermal comfort in this aspect. Second, the existing adaptive thermal comfort models and the main energy-saving measures associated with these models are analyzed. Third, the energy savings obtained with these measures are analyzed in several case studies, comparing the results obtained with other energy conservation measures, such as the improvement of the façade. The analysis is carried out from an energy and economic perspective. Finally, a decision-making process based on fuzzy logic is established. As an expected result, the content of the book contributes to assist architects in designing more efficient buildings from the perspective of user behavior.

Autorentext

David Bienvenido-Huertas is researcher in the Department of Building Construction II at the Universidad de Sevilla. He is Visiting Professor at the University of Seville and the University of La Coruña. His area of expertise covers climate change in the building sector, adaptive thermal comfort, heat transfer, fuel poverty, energy conservation measures, and design of nearly zero energy buildings. He is an author of more than 50 research papers and he is a recognized reviewer of various international indexed journals.

Carlos Rubio-Bellido is a Professor in the Department of Building Construction II at the University of Seville. His research is focused on energy efficiency in the building sector as well as building performance simulation. He is a Visiting Professor at Bío-Bío University (Chile). He is a member of the International Scientific Committee of various international conferences. He is the author of more than 50 research papers. He is a recognized reviewer of various international indexed journals and international research projects.

Inhalt

1. Building Energy Efficiency and Sustainability.- 2. Adaptive Thermal Comfort Models for Buildings.- 3. Application of Adaptive Thermal Comfort Models for Energy Saving in Buildings.- 4. Energy Savings Obtained with an Adaptive Approach.- 5. Decision Making to Apply Adaptive Approaches.