In our research programme Civil Engineering and Built Environment we are doing research into energy and buildings and the built environment. You can read more about our main research topics below. If you have questions about our research as a whole you are welcome to contact Chair Professor Joakim Widén.
The goal of our research on buildings is to develop improved methods for modeling and predicting the energy use in buildings. We have several years of experience into stochastic modeling of occupancy and activity profiles in buildings and, based on these, of buildings’ demand for electricity and heat. Our models are highly cited and used extensively internationally. In ongoing research projects we are developing an Urban Building Energy Model (UBEM), which is a model for energy simulations of buildings on city level. We are also developing methods for automatic identification and creation of building models from LiDAR data, and are investigating different measures for energy efficiency in buildings.
In this field of research we are studying development, design and operation of systems for district heating and cooling in the built environment. We are doing this mainly by developing and applying simulation and optimization methods for district heating systems, but also through interdisciplinary analyses directed towards economical sciences. In ongoing research projects we are studying integration of district heating and electricity distribution systems through large-scale heat storages.
Contact: Magnus Åberg
A central theme in our research is the solar resource and the use of solar energy in buildings and the built environment. Based on state-of-the-art AI and machine learning methods we create high-resolution statistical models for solar irradiance over space and time and use these to study how solar energy can be utilized in urban energy systems. Ongoing research projects are directed towards development of forecasting methods for solar power generation, integration of photovoltaic systems in buildings and electricity distribution grids, and resource-efficient planning of local solar energy utilization.
Our research on transports is directed towards spatio-temporal modeling of mobility in cities, with a special focus on electric vehicles. We have developed stochastic models of electric vehicle charging in space and time, which make it possible to determine future charging patterns for different categories of users, and we have studied how electrification of transports can be combined with local solar power generation. In ongoing research projects we develop algorithms for smart electric vehicle charging to increase solar power utilization.
Contact: Joakim Munkhammar