Using Monte Carlo method for evaporative cooling tower selection in an industrial company in Iran

Subject Areas : Journal of Simulation and Analysis of Novel Technologies in Mechanical Engineering

Hamed Afshari ¹ , Abbas Khanehzad Yazdi ² , Mohammad Ali Shokri ³ , Ahmad Haghani ⁴ , Mehdi Jahangiri ⁵

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Received: 2025-03-09 Accepted : 2025-06-30 Published : 2025-10-06

Keywords: Industrial processes, Steelmaking, Cooling tower, Operational costs, Monte Carlo Method,

Abstract :

The use of cooling towers in Iran's industries not only helps optimize energy consumption and increase equipment efficiency but also contributes to environmental preservation and reduces operational costs. Given the growing need for efficient cooling systems in industries, investment in this area can serve as an effective solution to address industrial challenges in Iran. In the present study, a cost comparison between two types of evaporative cooling towers, open and closed, is conducted for the first time using the Monte Carlo method. Initially, the effective parameters and their percentage tolerances were identified, and then the values of the effective parameters were calculated for 10000 iterations. The standard deviation, maximum, and minimum values for the total cost of cooling towers were evaluated. The results indicate that the open evaporative cooling tower has more consistent costs due to its standard deviation of 989815 compared to 2803948 for the closed type, leading to easier budgeting and financial planning. According to the results, the open evaporative cooling tower has lower risk analysis and better efficiency and productivity compared to the closed type, which is attributed to the lower maximum and minimum values of the open type. Additionally, the results showed that with the excess costs incurred for the closed evaporative cooling tower compared to the open type, an open evaporative cooling tower can be purchased after 6.38 years.

References:


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