EngD trainee Sietse is working on a photorealistic simulation of dynamic natural light for perception in virtual reality (VR). His research is part of the IntelLight+ project.
The need to reduce CO2 emissions makes energy in the built environment a key issue given that inefficient buildings represent around 35% of the total energy consumption. Continuous Monitoring (CM) and Fault Detection and Diagnosis (FDD) are complex but important technologies in detecting inefficiencies in Heating Ventilation Air Conditioning (HVAC). With a rise in demand for cooling caused by global warming, this project is developing a new approach based on data analytics and machine learning. This will enable resulting CM and FDD modules to be programmed in a state-of-the-art Building Management System (BMS) and become market-ready by the end of the project.
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