System Identification Modelling for Humidity Control in a Centralised Water-Cooled Package Unit Air Conditioning System
DOI:
https://doi.org/10.63746/njtd.v22i5.3587Keywords:
Air-conditioning, Dynamic Modelling, Humidity, System Identification, TemperatureAbstract
In humid countries like Malaysia, there is a need to take more cognisance of the control of humidity, as this significantly affects the thermal comfort and health of the occupants. Effective control mechanisms in HVAC systems also assist in regulating energy consumption, as HVAC is the major consumer of energy in the building sector. Intelligent control systems require accurate models that capture the system’s dynamics. This study utilises the system identification technique for a multi-circuit centralised water-cooled air-conditioning system in the model development and selection for the control of humidity in the system. Several models, including Box-Jenkins, State Space, Output-Error, Autoregressive with External Input, and Autoregressive-Moving Average with External Input, were estimated and evaluated. The outcome revealed that the Box-Jenkins third-order model gave the overall best fit with a value of 93.56%, the lowest Final Prediction Error with a value of 0.2016, and the lowest Mean Square Error with a value of 0.1978.
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