CN-116907170-B - Optimal adjustment method for final cooling tower
Abstract
The invention discloses a final cooling tower optimizing and adjusting method, which evaluates the current working condition of a final cooling tower by measuring the temperature T4, if the evaluation condition is met, the final cooling tower normally operates, otherwise, the gas temperature T4 of the final cooling tower is optimized and adjusted according to a formula. The method can timely adjust the gas temperature of the final cooling tower in the production process, ensures that when the gas temperature of the final cooling tower exceeds a regulation, particularly when the gas temperature of the final cooling tower is higher, the gas temperature of the final cooling tower is quickly adjusted to be within the regulation range according to the importance degree of each parameter influencing the gas temperature of the final cooling tower, overcomes the defect of hysteresis adjustment caused by the fact that only part of parameters or artificial experience is insufficient, or the defect that part of parameters are subjected to limit treatment and part of parameters are still in low-level operation, and achieves the aim of quickly and accurately optimizing the gas temperature of the final cooling tower.
Inventors
- ZHANG XUEHONG
- CHEN PENG
- CHANG HONGBING
- DUAN YIFAN
- LU TING
Assignees
- 武汉钢铁有限公司
Dates
- Publication Date
- 20260508
- Application Date
- 20230607
Claims (3)
- 1. The optimal regulation method of the final cooling tower is characterized by comprising the following steps of: 1) Evaluating the current working condition of the final cooling tower by measuring the gas temperature T4 of the final cooling tower, if the evaluation condition is met, the final cooling tower normally operates, otherwise, the step 2 is executed; 2) Optimizing and regulating the gas temperature T4 of the final cooling tower according to the formula (1) T4=m1×F1+m2×T1+m3×F2+m4×T2+m5×F3+m6×T3+m7×Z1+C(1) Wherein m1, m2, m6, m7 are coefficients of formula (1), C is a constant of formula (1), T4 is a final cooling tower gas temperature, F1 is a tower inlet gas flow, T1 is a tower inlet gas temperature, F2 is an upper circulation liquid flow, T2 is an upper circulation liquid temperature, F3 is a lower circulation liquid flow, T3 is a lower circulation liquid temperature, Z1 is a tower resistance of the tower inlet, T4 is a target parameter, F1, T1 and Z1 are important parameters, and F2, T2, F3 and T3 are process adjustable parameters; The specific optimization and adjustment process is as follows: 21 Acquiring available data sets closest to the adjustment time, wherein the data sets comprise important parameters and adjustable parameters in the final cooling tower, the available data sets are more than or equal to 500 groups, and fitting the acquired available data sets to obtain coefficients and constants in the formula (1); 22 Arranging the coefficients of F2, T2, F3 and T3 from large to small, and then adjusting the process adjustable parameters corresponding to the first two coefficients until the adjusted process adjustable parameters are substituted into the formula (1) and then the calculated T4 satisfies the temperature of 25 ℃ to less than or equal to T4 to less than or equal to 30 ℃ and the temperature of T4 is 2 ℃ to 4 ℃ lower than the lean oil temperature, and then ending the adjustment; In the step 2), the temperature T2 of the circulating liquid at the upper section is 10-34 ℃, the temperature T3 of the circulating liquid at the lower section is 20-39 ℃, and the value of the tower resistance Z1 entering the tower is 0.5-2 KPa; When the front-end process connected with the final cooling tower has standby equipment, T1 is a value obtained by adding and averaging values within the range of 40-58 ℃; In the step 22), the adjustment of the two-bit process adjustable parameter is based on the average value of 10 available data sets at the nearest time point of the current process adjustable parameter, if the current process adjustable parameter is the flow parameters F2 and F3, the current process adjustable parameter is an interval of 1% of the maximum flow, if the current process adjustable parameter is the temperature parameters T2 and T3, the current process adjustable parameter is an interval of 0.5 ℃, the current process adjustable parameter is adjusted in a direction favorable for T4, and the adjustment is terminated until T4 calculated after the adjusted process adjustable parameter is substituted into the formula (1) meets the condition that T4 is less than or equal to 25 ℃ and less than or equal to 30 ℃ and T4 is lower than the lean oil temperature by 2 ℃ to 4 ℃.
- 2. The optimized regulating method of final cooling tower according to claim 1, wherein the evaluation conditions in the step 1) are as follows: And if the temperature is 25 ℃ or more and less than or equal to T4 and is less than or equal to 30 ℃ and the temperature T4 is 2-4 ℃ lower than the lean oil temperature, the final cooling tower normally operates, otherwise, the step 2) is executed to optimally adjust the gas temperature T4 of the final cooling tower.
- 3. The method for optimizing and adjusting a final cooling tower according to claim 1, wherein in the step 21), the data in the overhaul, the production stoppage and the debugging process are unavailable data.
Description
Optimal adjustment method for final cooling tower Technical Field The invention relates to the technical field of coal gas refining in a coal coking process, in particular to a final cooling tower optimization and adjustment method. Background One of the important sections for refining coal gas in the coal coking process is a benzene removal section, and the obtained byproduct, namely benzene, is an important raw material in the chemical industry. The benzene removing section comprises gas final cooling, benzene washing and benzene removing. The benzene in the coke oven gas is absorbed by the wash oil at a proper absorption temperature, so that the highest absorption efficiency can be ensured on the premise of smooth production. One of the suitable absorption temperatures is the gas temperature, which is higher than the suitable absorption temperature of the benzene washing tower in the benzene removal sequencing section, and the benzene removal section needs to reduce the gas temperature firstly in order to ensure good benzene washing effect, and the process is carried out in the final cooling tower. The control of the final cooling gas temperature is usually controlled in a semi-automatic way, comprehensive artificial experience judgment is carried out, the problems of lag in regulation and insufficient scientific systematicness are frequently caused, and unconventional indexes are easy to ignore. Disclosure of Invention The invention aims at solving the technical problems and provides an optimal regulation method for the final cooling tower, which can regulate the temperature of the gas exiting the final cooling tower in time and has high regulation efficiency in the production process. In order to achieve the above purpose, the invention provides an optimal adjustment method of a final cooling tower, which comprises the following steps: 1) Evaluating the current working condition of the final cooling tower by measuring the temperature T4, if the evaluation condition is met, the final cooling tower normally operates, otherwise, the step 2) is executed; 2) Optimizing and regulating the gas temperature T4 of the final cooling tower according to the formula (1) T4=m1×F1+m2×T1+m3×F2+m4×T2+m5×F3+m6×T3+m7×Z1+C(1) Wherein m1, m2, m6, m7 are coefficients of formula (1), respectively, C is a constant of formula (1), T4 is an outlet final cooling tower gas temperature, F1 is a flow rate of inlet tower gas, T1 is a temperature of inlet tower gas, F2 is a flow rate of upper-stage circulating liquid, T2 is a temperature of upper-stage circulating liquid, F3 is a flow rate of lower-stage circulating liquid, T3 is a temperature of lower-stage circulating liquid, Z1 is a tower resistance of inlet tower, m1, m2, respectively, m6, m7 are coefficients, C is a constant, T4 is a target parameter, F1, T1 and Z1 are important parameters, and F2, T2, F3 and T3 are process adjustable parameters; The specific optimization and adjustment process is as follows: 21 Acquiring available data sets closest to the adjustment time, wherein the data sets comprise important parameters and adjustable parameters in the final cooling tower, the available data sets are more than or equal to 500 groups, and fitting the acquired available data sets to obtain coefficients and constants in the formula (1); 22 Arranging the coefficients of F2, T2, F3 and T3 from large to small, and then adjusting the process adjustable parameters corresponding to the first two coefficients until the adjusted process adjustable parameters are substituted into the formula (1) and then the calculated T4 satisfies the temperature of 25 ℃ less than or equal to T4 less than or equal to 30 ℃ and the temperature of T4 is 2 ℃ to 4 ℃ lower than the lean oil temperature, and then the adjustment is terminated. Further, the evaluation conditions in the step 1) are as follows: And if the temperature is 25 ℃ or more and less than or equal to T4 and is less than or equal to 30 ℃ and the temperature T4 is 2-4 ℃ lower than the lean oil temperature, the final cooling tower normally operates, otherwise, the step 2) is executed to optimally adjust the gas temperature T4 of the final cooling tower. Further, in the step 2), the temperature T2 of the upper-stage circulating cooling liquid is 10-34 ℃, the temperature T3 of the lower-stage circulating cooling liquid is 20-39 ℃, and the tower resistance Z1 of the final cooling tower is 0.5-2 KPa; When the front-end process has temperature fluctuation in the overhauling recovery process, the value of T1 is 40-58 ℃, and when the front-end process connected with the final cooling tower has standby equipment, the value of T1 is obtained by adding and averaging the values in the range of 40-58 ℃. Further, in the step 21), data in the process of maintenance, production stoppage and debugging are unavailable data. Further, in the step 22), the adjustment of the two-bit process adjustable parameter is based on the average value of 10 available data s