Modelling Methodology
With our wide range of building performance simulation software, we perform computational modeling and simulation for optimizing design and renovations of high-performance buildings.
In our lab, we believe that without newly collected data no research group can create a significant scientific contribution to its community. Therefore, our lab trains young researchers in the methodology of experimental work, ethical data acquisition, the careful analysis of data and the faithful and accurate publication of results. We innovate in data acquisition techniques and we seek to support the design decision making through evidence-based and performance-based approaches. We follow four robust research methodologies that we use in our daily research to create excellent research findings and disseminate and publish our research in top research journals. The following text explains those methodologies.
With our wide range of building performance simulation software, we perform computational modeling and simulation for optimizing design and renovations of high-performance buildings.
We perform climate and weather analysis and predictions using statistical analysis techniques based on static and adaptive comfort model.
We perform experimental analysis of heat transfer in buildings and thermal systems.
We perform systematic literature reviews, experts’ interviews, usability testing and focus group discussions to tackle new challenges and explore new research terrains.
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. All SBD Lab's work contributes towards the following SDG(s):