Publications

Heat and moisture are removed from occupied spaces by air conditioning systems. Airconditioners regulate moisture and temperature, and improve air quality. Human efficiencyis dramatically boosted and worker's efficiency is affected by their work environment.Human being is more comfortable and productive with air conditioning. After a few years ofexcellent operation, the system began to fail, resulting in numerous resident complaints. Thegoal of this study is to establish operational characteristic models for an air conditioningsystem's performance in order to fulfill future client requirements. The inlet and outputtemperatures as a function of local time were measured for the LSBLG 1200/MCF modelcentral water chiller air conditioning system. The COP and EER curves were examined.MiniTAB 16.0 was used to establish the characteristic curves and models, according to thefindings. The regression models are statistically significant at 97.7 percent and 91.1 percentfor p-value less than 0.05 and R2, respectively. The COP and EER values were calculated, andit was determined that the best cooling occurred between 1 and 3 p.m. The chiller and coolingtower achieve maximum coefficients of performance (COP) of 52 and 20, respectively. Thechiller and cooling tower have EER ratings of 177 and 68, respectively. Regression analysisis used to develop models that characterize the statistical relationship between operationalparameters such as input and outlet temperatures as a function of local time and responsevariables such as COP and EER. The performance of the system can be monitored usingexisting models.