Abstract
The performance of air conditioning systems is closely related to heat gain that is generated inside a particular room. This heat gain depends on several factors such as position of the room relative to solar orientation, wall material, electric appliances, lights, number of people occupying the room and many other factors. An Excel sheet was developed to estimate: a) the peak cooling load of typical rooms in the city of Abu Dhabi, b) the peak load solar time and c) the cooling load profile on an hourly basis. The estimation was performed under different design conditions using the Cooling Load Temperature Differential (CLTD) method. As expected, variable peak cooling loads due to different design conditions were obtained. However, the peak load solar time, in all the studied scenarios varied between 4 and 6 pm. Some differences in the cooling loads patterns were also observed. The results obtained can be of importance to private, federal companies and local authorities interested in managing the energy consumption in buildings. Students in UAE taking courses on HVAC can also benefit from the use of the developed program in this study.
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