Experimental investigation of temperature and humidity on air condition load modeling in Saudi environment using simulated annealing

Abstract EN

The major focus of this work is on the impact of both the temperature and humidity variations on the air conditioning load model characteristics based on field measurements.

A typical residential house was used for experimental investigation and data collection for the segregated residential air conditioner load.

Important field data has been collected for several hot and humid consecutive months covering a wide range of outdoor temperatures and humidity.

The Simulated Annealing (SA) method based on the Monte Carlo technique for finding solutions to optimization problems was used for data analysis and model shaping.

The SA algorithm has been implemented to find the best model for the AC load by finding the optimal estimates of the proposed AC load model parameters.

The mathematical model developed in this paper was successful in reproducing the experimental testing data with a very good degree of accuracy.

The model reached was found to adequately represent the effect of humidity and temperature on the AC load.

The nonlinear relationship between humidity, temperature, and real power demand is consistent through all temperature and humidity ranges.