Dynamic coupling between a Kriging-based daylight model and building energy model

However, Kriging also comes with certain limitations that require further investigation. One major hurdle was Kriging's long computational time compared to current daylight models in energy simulation tools. For this reason, this paper aims to find possibilities to reduce computational time to realistic levels that can be applicable in practice. Furthermore, it proposes a method to integrate Kriging-based daylight model with an energy simulation tool that can plot hourly indoor light distribution. This proposal obtains more realistic results than current energy simulation daylight models, while reducing computational expense.