Cooling Load Calculation
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This paper demonstrates how the probability can be used as a decision tool for justifying the appropriate results from the cooling load calculation. The ventilation heat gain, as one component in cooling load, is used to demonstrate the method presented in this paper. The probability for each amount of ventilation heat gain under various design condition is calculated. The results of ventilation heat gain in the studying case vary from 436 to 593 kW depend on what design condition is used. By using 98% of cumulative density function, it indicates that the amount of ventilation heat gain is 537 kW. Using this probability information one can now logically decide for an appropriate amount of ventilation heat gain used and hence cooling load amount. This will lead to an efficient in energy management as well as reducing the risk in air conditioning system investment.
[1] C. O. Pedersen,et al. An evaluation of inside surface heat balance models for cooling load calculations , 1997 .
[2] Wilson H. Tang,et al. Probability concepts in engineering planning and design , 1984 .
[3] S. C. Gupta,et al. Fundamentals Of Mathematical Statistics , 1972 .