Identification of physically based models of residential air-conditioners for direct load control management

In this work, we address the problem of identifying the parameters of an aggregated elemental model representing a housing unit with an A/C system. The identification is done to validate the model using a pilot house with an air conditioner system. An online maximum-likelihood based identification algorithm is developed for A/C, the required hardware and system instrumentation is detailed. A sensitivity analysis study of the model for variations in humidity and solar radiation is also reported.