Cooling Load Estimation to Determine the Proper Capacity of Air Conditioners in the Engineering Building at Engineering Academy of Soroako

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The comfort of a workspace for some people is a thing which is not negotiable. It is believed to raise the motivation of people who work in it. A room which is too hot or too cold may cause people working in it unable to concentrate in a manner that their work performance will not be optimal or will cause some of their work delayed and eventually lead to the depression of the workers themselves. From an economic standpoint, this analysis is important because the greater the capacity of the air conditioning system, the greater the power consumption. The purpose of this study is to determine the amount of heat, which is caused by external and internal factors, that arise in the Engineering building at Engineering Academy of Soroako, and to determine the proper capacity of air conditioners which should be installed in the building. To determine the amount of air conditioning capacity needed in the building, an analysis of the cooling load that occurs in the building is necessary. Geographical position, direction of the wall, and building materials are very influential in the absorption of heat from the outside, while the activities of the occupants, lighting loads, and loads of other electrical equipment affects the amount of heat that arise. CLTD / CLF / SCL methods are used in the calculation, and the data required is measured at the peak of the dry season, which occurs in October. Our analysis and calculations obtained that, according to its function, the number of lamps needed in the building are 26 type PL lamps with a power of 23 watts per lamp. The conduction heat gains and maximum daily infiltration occurred at 2pm with a value of 7.51 kW and 1.98 kW, respectively, while the internal heat gains and maximum daily radiation occurred at 3pm with a value of 1.94 kW and 15.41 kW, respectively. It is concluded that the total maximum daily heat gains that arises is 26.50 kW so the capacity of the air conditioner needed is 6.61 kW or rounded to 8.9 PK.

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90-95

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June 2016

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[1] Alkhair, M. A., et. el., Simulation Analysis of Weather Effect on Cooling Capacity and Cooling Load for a Small Building Cooled by Solar Adsorption Air-Conditioning System, Computer Applications in Environmental Sciences and Renewable Energy (2014).

Google Scholar

[2] Al-Waked, R., Effect of Façade Type on the Cooling Load of a Multi-Store Building, International Journal of Thermal & Environmental Engineering Volume 1, No. 1 (2010) pp.9-14.

Google Scholar

[3] Ansari, F., et. el., A Simple Approach for Building Cooling Load Estimation, American Journal of Environmental Sciences 1 (3): ISSN 1553-345X, ( 2005) pp.209-212.

DOI: 10.3844/ajessp.2005.209.212

Google Scholar

[4] Balaras, C.A., The role of thermal mass on the cooling load of buildings. An overview of computational methods, ELSEVIER Science Energy and Buildings 24, SSDI 0378-7788 (1996) 00956-X.

DOI: 10.1016/0378-7788(95)00956-6

Google Scholar

[5] Degu Y.M., Cooling Load Estimation and Air Conditioning Unit Selection for Hibir Boat, The International Journal Of Engineering And Science (IJES) Vol. 3 ISSN : 2319 –1813, (2014) pp.63-72.

Google Scholar

[6] Hui, S. C. M., K. P. Cheung, Application of building energy simulation to air-conditioning design, Proceeding of the Mainland-Hong Kong HVAC Seminar, Beijing, (1998) pp.12-20.

Google Scholar

[7] Kareem, B., Load Estimating for Air Conditioning using Computer Software Approach. International Journal of The Computer, the Internet and Management Vol. 16. No 2 (2008), p.35–43.

Google Scholar

[8] Kumar, R., et. el., Predicting Energy Requirement for Cooling the Building Using Artificial Neural Network, Journal of Environmental Engineering and Technology Vol. 2, No. 1, (2013) ISSN: 2165-8315.

Google Scholar

[9] Lanre, J., et. el., Design and Development of Calculator Software for Residential Electrical Services Design, International Journal of Engineering and Technology ISSN 2049-3444 Volume 2 No. 3 (2012) pp.371-378.

Google Scholar

[10] Sait, H. H., Estimated Thermal Load and Selecting of Suitable Air Conditioning Systems for a Three Story Educational Building, The 3rd International Conference on Sustainable Energy Information Technology (SEIT), Procedia Computer Science 19 (2013).

DOI: 10.1016/j.procs.2013.06.085

Google Scholar

[11] Suziyana, M. D., et. el., Analysis of Heat Gain in Computer Laboratory and Excellent Centre by using CLTD / CLF / SCL Method. Malaysian Technical Universities Conference on Engineering & Technology, Procedia Engineering, 53 (2013), p.655–664.

DOI: 10.1016/j.proeng.2013.02.085

Google Scholar

[12] Tin, J., et. el., A Review of Technological Developments in Cooling System for Different Climates, Middle-East Journal of Scientific Research 21 (9) ISSN 1990-9233, (2014) pp.1503-1511.

Google Scholar

[13] Uba, F. A., Sarsah, E. A. (2013). Cooling Load Temperature Differential Values For Buildings In Ghana, International Journal of Scientific & Technology Research Vol. 2, Issue 12, ISSN 2277-86162(12), (2013) p.229–235.

Google Scholar

[14] Service Manual air conditioner, Panasonic HA Air-Conditioning (M) Sdn. Bhd. (11969-T), Order No. MAC0706002A2 (2007) printed in Malaysia.

Google Scholar