Model predictive control in real-world buildings – a systematic review of implementation and performance

Key Points

• The aim is to evaluate the implementation and effectiveness of model predictive control (MPC) in real-world buildings.
• Conducted a systematic review of 112 papers covering various building types and climates.
• Assessed the performance of MPC in terms of energy savings and cost reductions.
• MPC can reduce heating and cooling energy consumption by 3% to 56.3%.
• Cost reductions associated with MPC can reach up to 55%.
• Identified barriers to adoption include low commercialization, communication between devices, and accuracy of sensors/models.

Abstract