Online model for indoor temperature control based on building thermal process of air conditioning system

Since there are lots of influencing factors in indoor temperature regulation process of air conditioning system in the large-public building, it is difficult to establish an accurate mathematical model and to implement model-based online control. This paper proposes an online modeling method for indoor temperature regulation characteristic according to building thermal process. A physical-data driven model, which takes the state-space equation solution representation form as the reference structure, is proposed, and the model parameters are identified based on the multiple linear regression analysis. Then, experimental and simulation studies in online and offline have been carried out to validate the proposed modeling method. The contribution of this study is to provide an online model, which can not only retain system physical property but also be updated online simply. The proposed model with building thermal process property will be benefit for terminal controller design for indoor temperature regulation in the air conditioning system.

Automated summary

This study proposes an online modeling method for indoor temperature regulation based on building thermal process characteristics. By using a data-driven model and identifying parameters through multiple linear regression analysis, a model that retains system physical properties and can be updated online has been achieved. This model with building thermal process properties will be beneficial for the design of terminal controllers for indoor temperature regulation in air conditioning systems.