Title webinar

 

Optimising energy consumption and increasing energy flexibility of a nearly transparent building using MPC

 

Description

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Passive energy sources have the potential to significantly reduce the energy consumption of the building. However, to achieve optimal energy savings, it is necessary to integrate multiple passive energy sources and develop a control strategy that can manage them effectively. We use an MPC (Model Predictive Control) strategy to optimize the operation of multiple passive energy sources in a building. Specifically, the research focuses on four solar blinds, a PCM (Phase Change Material) battery, sky windows, heat recuperation, natural ventilation, and an active energy source.  

 

Grey-box modeling approach is used to model the building, and the model is calibrated using experimental data. The MPC problem is then set up to minimize active energy consumption while ensuring indoor thermal comfort during occupied periods. The proposed MPC is then implemented in the building. The research also provides insights into the energy-saving potential and energy flexibility of buildings using MPC. 

 

Speaker(s): Naveen Rajappa

 

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Naveen Rajappa is a Graduate Research Student in Energy, Flow and Process technology at TU Delft. He is experienced in the field of HVAC, heat pumps and aims at a long-term goal of developing smart energy systems.