SEED Project



Martin Fischer



Vladimir Bazjanac



Tobias Maile




Current methods and software tools that validate building performance during the commissioning or operations phase lack an integration of design intentions and a detailed concept of comparison of predicted and observed metrics. As a result most building systems do not operate efficiently, which leads to higher energy consumption and thermal comfort problems. This research project aims to develop a detailed methodology to automatically compare predicted and observed metrics so that the building performance can be verified and improved by more reliably detecting deficiencies in energy consumption and thermal comfort. The methodology will be developed based on current research and performance validation software tools by applying findings from case studies. The resulting advanced performance validation can reduce operating cost of buildings.

Executive summary

The picture and rendered Revit model on top are illustrations of the
Global Ecology Center at Stanford University

Improving and Verifying

Building Energy Performance

Webmaster: Tobias Maile