A state-space thermal model incorporating humidity and thermal comfort for model predictive control in buildings

• Main Authors: Yang, Shiyu, Wan, Man Pun, Ng, Bing Feng, Zhang, Tian, Babu, Sushanth, Zhang, Zhe, Chen, Wanyu, Dubey, Swapnil
• Other Authors: School of Mechanical and Aerospace Engineering
• Format: Article
• Language: English
• Published: 2019
• Subjects: Model Predictive Control; State-space Model; DRNTU::Engineering::Mechanical engineering
• Online Access: https://hdl.handle.net/10356/105751; http://hdl.handle.net/10220/48732
• Institution: Nanyang Technological University

A major challenge in applying Model Predictive Control (MPC) to building automation and control (BAC) is the development of a simplified mathematical model of the building for real-time control with fast response times. However, building models are highly complex due to nonlinearities in heat and ma...