Method for monitoring drifting salt deposition of seawater cooling tower
A cooling tower, salt deposition technology, applied in the direction of analysis of materials, instruments, etc.
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Embodiment 1
[0064] according to figure 1 The monitoring method flow chart in the medium is operated in sequence, and the specific process is as follows:
[0065] Taking two large naturally ventilated seawater cooling towers of a power plant in the south as an example, the salt deposition monitoring of seawater cooling tower droplets was carried out in September 2013.
[0066] A. According to the attached figure 1 In the flow chart of the monitoring scheme, the numerical calculation of the SACTI model is firstly carried out in combination with the local meteorological parameters and the parameters of the seawater cooling tower, which specifically includes the following steps:
[0067] 1. Use the WRF model system to simulate the meteorological conditions around the power plant. The specific parameters are as follows:
[0068] During the experimental monitoring period (September 2013), that is, within 30 days from September 1, 2013 to September 30, 2013, the average temperature during the ...
Embodiment 2
[0100] The same method used in Example 1 is used to detect the amount of salt deposition, the only difference is that in this embodiment, the monitoring is performed when the seawater cooling tower is operated as a single tower, and the parameters of the single tower are shown in Table 4.
[0101] Table 4 Embodiment 2 Cooling Tower Related Calculation Parameters
[0102] parameters
input value
cooling tower height
177.2m
cooling tower outlet diameter
79m
Single Tower Heat Dissipation Rate
1202.4mw
Single tower ventilation
15360kg / s
Droplet water loss in a single tower
5.487kg / s (0.02% circulating water volume)
Single tower circulating cooling water salt concentration
46‰ (concentration ratio 2 times)
[0103] The monitoring time for a single tower was October 2013. During the monitoring period, the average temperature was 19.8°C, the average humidity was 53%, the average wind speed was 5.2m / s...
Embodiment 3
[0111] In this embodiment, the simulated values of Embodiment 1 are corrected:
[0112] 1. Correct the meteorological parameter value. During the monitoring period in September 2013, the average temperature was corrected to 23.5°C, the average humidity was corrected to 50%, the average wind speed was corrected to 5.4m / s, and the dominant wind direction was NNW (north-northwest).
[0113] After the result is simulated by the SACTI calculation program, compared with the monitoring values of the test points in Example 1, the average relative deviation of the 10 monitoring points is 8.5%.
[0114] 2. Correct WRF calculation parameters, the meteorological model integration step is changed from 120s to 30s, and the horizontal grid distance is changed from 9km to 3km. After simulating the result with the SACTI calculation program, and comparing it with the monitoring values of the test points in Example 1, it can be obtained that the average relative deviation error of the 10 ...
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