The objectives of the EINSTEIN project were to formulate and integrate a number of state-of-the-art building control strategies to test their effect on improving the performance of buildings beyond traditional control approaches.
The three control strategies developed in the project relate to: Fault Detection and Diagnosis (FDD), Building Performance Prediction and Building Performance Optimisation.
The algorithms developed in EINSTEIN open up new and real opportunities to advance beyond classical building control approaches by deploying solutions that are “Smarter”. The key benefits of the demonstrated EINSTEIN approach are that it:
IES R&D led this project in collaboration with Trinity College Dublin (TCD).