Computer-driven optimizations for improving sustainability performance of buildings

Improving sustainability of new and existing buildings is a big challenge in building sector. This needs to be considered already during the early design phase as the decisions made at this stage significantly affect sustainability performance of buildings.Today, computer-driven optimizations (e.g. machine learning, genetic algorithms) are increasingly used in other sectors (e.g. aerospace) to make more sustainable decisions during design. However, their use is still limited in the building sector. The purpose of this project is to (1) develop practical methods based on computer-driven optimizations which enable designers, construction companies and property owners to make decisions that can improve the sustainability of buildings over the lifecycle (2) test the developed methods in several case studies to provide knowledge on how these methods and the decisions made during the design process can affect different sustainability criteria in terms of energy use, costs and CO2 emissions from a life cycle perspective.


Swedish Energy Agency

Time period

 2019-11-01 - 2022-12-31

Partner organizations 

  • Uppsala University
  • IVL Swedish Environmental Research Institute
  • Luleå University of Technology
  • NCC
  • Skanska

Project leader

Farshid Shadram from Uppsala University
Johan Holmqvist from IVL Swedish Environmental Research Institute

Last modified: 2022-02-17