Computational simulation is one of the most powerful engineering tools in our world today. Both the power and complexity of building performance modeling and simulation arise from its use of many underlying theories from many different disciplines, including physics, mathematics, human behavioral, environmental and computational sciences, as well as building, mechanical and electrical engineering. Although the technology has advanced tremendously over the past four decades, many theoretical and practical challenges still need to be overcome before the full potential of building performance simulation can be realized. One of the main challenges is how to use this technology more efficient and effective in high performance building design and operation. We aim to address this by:

  • Expanding the modeling and simulation scope to allow for multi-scale (from construction detail to district level) and multi-physics (thermal, lighting, electrical, …) problems
  • Incorporating optimization under uncertainty approaches
  • Reducing the energy performance gap (prediction vs. real)

I work on this together with colleagues at TU/e, CVUT and with several postdocs and graduate students in a number of research projects.