Calculation of the cooling tower design is made at the following data log,

Water flow rate m3 / h (hydraulic load)

water inlet temperature (Tg) ° C

water outlet temperature (Tc) ° C

wet bulb thermometer Temperature (Ty) ° C

Another factor affecting the design of the cooling tower is the type of filling. The size of the tower design and the size of the heat transfer surface varies according to the formation of splash ring - raschig rings - pvc film fill - splash grid fill.

Another subject to be noticed in the design of the water cooling tower is the locality of the floors with intensive dust clouds in countries such as Algeria, Kazakhstan, Russia, Turkmenistan, Iraq, Saudi Arabia, Uzbekistan, Egypt, Bulgaria, Poland, Azerbaijan, Iran, Kuwait, It will be blocked. Because of this clogging, it is necessary to make the cooling tower design more tolerant.

The amount of water that will pass through the internal and external surfaces of the process to be cooled in the enterprises needs to be well calculated.

The pressure loss of the water distribution system (elbow, valve ... etc) and the factors such as the height of the piping height meter (mms) loss and the decrease of the pressure are the determining factors for the cooling calculation.

Thermal design - Complex mathematical problem requires solving the system of differential equations

As a result of the calculation, we determine:

• The number and size of the sections, the cooling area required for the cooling tower

• Height of the spillway

• Fan power (for artificial drafts)

The thermal capacity of the cooling tower can be calculated with the following formula

Q = M * C * Dt


To calculate the cooling tower during the hot season of the year, you can use the air temperature with a 0.95 or 0.98 security on a dry thermometer. The difference in the values ????is the number of days in a region where it is theoretically possible to overcome this temperature.

The choice of safety index depends on the operation of the cooling tower. If the increase in circulating water temperature causes temporary interruption of the operation of the individual units, the consumption category is called water consumption. Calculation of the cooling towers is also carried out with 0.95 climate parameters.

Thus, the choice of data used in the calculation of cooling towers depends on the appropriate investment characteristics of the supplementary funds in the process technology enterprise-client and equipment.

0,4% 2% 5% 10% used in the temperature statistic comes to the following manners. Design values ????that are the most sensitive and peak high values ????in the calculations over 360 days

Stats defined as 0.4% mean designs based on 1.44 = 1 day heat values ????with the highest heat per year. (360 * 0.004 = 1.44 days)

Stats defined as 2% indicate designs based on 7,2 = 7 day heat values ????with the highest peak per year. (360 * 0.02 = 7.2 days) will naturally come into conflict as a usable design value, since this is a lower and average value. In this design, it will be possible to force the system of maximum 7 days peak temperature according to the average temperature of the system.

Stats, defined as 5%, mean designs based on 18-day heat values ????with the highest temperature in one year period. (360 * 0.05 = 18 days) will naturally come up as a less usable design value than this lower and average value. But 18 days is a very long time and the designs made at these values ????will bring the system to a risk at the peak temperatures of 18 days of the year.

Stats defined as 10% mean designs based on 36-day heat values ????with the highest temperature for one year period. (360 * 0,1 = 36 days) will naturally be a lesser or even unusable design value than this lower and average value. 30 days is a very long time, and the designs made at these values ????will take the system to a risk at the peak temperatures of 30 days of the year. If the system remains unstable for 30 days, it will put a risk of running it.

A slight increase in water temperature over a few days a year is not a serious problem for production. In this case, investment of additional funds to ensure water cooling is not feasible all year round. The increased loss of return water temperature is less than the cost of upgrading the cooling tower.

The result of this analysis is that the statistical results of 0.4% and 2% can be used in more precise designs,

The 5% and 10% statistical results should be used in less sensitive designs.

If you need to choose the type and size of the cooling tower, our specialists are ready to perform all necessary calculations.