Energy in Time developed a Smart Energy Simulation Based Control method to reduce the energy consumption in the operational stage of existing non-residential buildings. The Consortium created new techniques based on the prediction of indoor comfort conditions and user behaviour performance to improve Lifetime and Efficiency of Energy Equipment and Installations through continuous commissioning and predictive maintenance with the possibility to centralize the remote control of different buildings in a single automated process.
Energy IN TIME goes beyond existing building control techniques and presents an innovative solution for building control and management contributing to building operation energy and maintenance costs with savings of up to 20% over traditional energy consumption.
IES’ role in Energy in Time was to deliver a highly calibrated energy model which reflected the actual performance of the four demonstration site buildings in the project. The calibrated models were deployed on the cloud along with an API, which the partners could connect to and run automated simulations on the cloud to predict the performance of the buildings over the next 24 hours. The partners then used this calibrated baseline model to determine the optimal control strategies for the building depending on the forecast performance, occupancy, weather conditions and other variables.