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In this paper, the parameter estimation of thermal dynamic discrete-time system for heating, ventilating and air conditioning (HVAC) is studied using recursive least square method. Parameters are estimated by using recursive least square method. Thermodynamic model of indoor test bed is formulated by outdoor temperature, HVAC power consumption, and thermal noise and estimated thermal dynamic parameters show improved performance of thermodynamic model for day-ahead indoor temperature compared to original least square parameter estimation approach. In this research, the experiment is implemented to verify the performance of proposed approach in a laboratory environment.

Thermal Model Parameter Estimation for HVAC Facility using Recursive Least Square Method