Keivan Bamdad Masouleh
Model predictive control (MPC) to improve HVAC operation
Bamdad Masouleh has developed a model predictive controller (MPC) to manage energy consumption of HVAC systems. The proposed MPC controller has been designed to predict the thermal response of a building (e.g., energy use) a few hours in advance and identify the future optimised values of two control variables – supply air temperature and chilled water temperature – to minimise the energy consumption of the HVAC system.
When compared with temperature reset energy-saving strategies (commonly used in practice) in a simulated office building in Sydney, the proposed MPC controller provided significantly higher energy savings.