jismart2023026: A Review of Model Predictive Control in Building HVAC Field

Abstract

Model predictive control (MPC) is a promising technology for optimising building performance and energy savings, effectively addressing complex challenges posed by external factors like dynamic nonlinearities, occupancy patterns, and solar influences. It meets the growing demand for energy efficient and flexible load management of heating, ventilation and air conditioning (HVAC) systems. After over 20 years of research, MPC has made progress in this area of research, but is still not widely adopted by the industry. This paper reveals recent advances of MPC in the HVAC domain, highlighting its real-world applications and the tangible benefits it brings to optimising HVAC systems. It thoroughly explains critical components, including modeling techniques, optimization algorithms, and design parameters, encompassing prediction ranges and cost functions. Applicable to solving MPC problems in the context of building climate control. The primary objective of this paper is to elucidate the design parameters that significantly impact MPC performance and to demonstrate the real-world effectiveness of MPC applications., providing valuable guidance to researchers and practitioners. By synthesising existing knowledge and outlining future perspectives, it aims to provide assistance to contemporary adopters of the technology while demonstrating its practicality.