Method for rapidly matching circulating cooling water system with different thermal loads

Abstract

The invention discloses a method for rapidly matching a circulating cooling water system with different thermal loads, and the method comprises the steps: obtaining a regression model of a closed waterway circulating cooling water amount Q1 and a thermal load H through the calculation of a closed waterway heat exchange calculation model; a regression model of the open-type waterway circulating cooling water amount Q2 and the thermal load H is obtained through calculation according to the open-type waterway plate heat exchanger heat exchange calculation model, and a regression model of the cooling tower fan rotating speed r and the thermal load H is obtained through calculation according to the open-type waterway cooling tower heat exchange calculation model; and then, according to the corresponding regression equations, the closed waterway circulating cooling water amount Q1, the open waterway circulating cooling water amount Q2 and the cooling tower fan rotating speed r corresponding to different thermal loads H are predicted. According to the method, the operation parameters of the closed water way, the open water way and the cooling tower are determined according to the prediction result, then the equipment operation parameters are determined, the rapid and accurate matching capacity of the circulating cooling water system for different heat exchange loads is greatly improved, and the user medium temperature rapidly reaches the stable state.

Description

Technical Field

[0001] The invention relates to a field, and in particular to a method for quickly matching different heat loads in a circulating cooling water system. Background Art

[0002] Circulating cooling water systems are widely used in the industrial field to cool various equipment and production processes to maintain the circulating cooling water users operating within an appropriate temperature range and ensure the safe and normal progress of process production.

[0003] The circulating cooling water system mainly includes closed-loop water circuit, open-loop water circuit and open-loop cooling tower; the closed-loop water circuit mainly consists of user heat exchanger, plate heat exchanger, closed-loop pump and pipeline valves, and the open-loop water circuit mainly consists of plate heat exchanger, open-loop pump, cooling tower and pipeline valves. The user's heat medium is water or gas. First, the heat load in the user medium is transferred to the closed-loop circulating water through the user heat exchanger, and then the heat load in the closed-loop water circuit is transferred to the open-loop water circuit through the plate heat exchanger. Finally, the heat load in the open-loop cooling tower is discharged into the atmosphere, and the water out of the cooling tower flows back into the pool for recycling.

[0004] At present, with the increasingly stringent process requirements, the user's water consumption range has become wider, and the heat load variation range has increased and changed frequently. The traditional automated water supply method or manual adjustment method based on experience not only wastes energy, but also cannot quickly stabilize the water supply temperature and the user's medium temperature, and thus cannot quickly meet the user's process requirements, further causing energy waste.

[0005] Therefore, in the face of the current energy waste problem in the circulating cooling water system, we have developed a method that can find in advance the balance point of the heat load entering the system and the heat load discharged from the system under different meteorological conditions, shorten the matching time between the circulating cooling water system and the user's heat load, and enable the system to reach thermal balance as soon as possible, thereby meeting the user's temperature stability requirements as quickly as possible. Summary of the invention

[0006] The purpose of the present invention is to provide a method for quickly matching different heat loads in a circulating cooling water system, so as to solve the problem of energy waste in the existing circulating cooling water system.

[0007] In order to solve the above technical problems, the present invention provides a method for quickly matching different heat loads in a circulating cooling water system, comprising:

[0008] S1: Construct a closed water circuit heat exchange calculation model to obtain the corresponding relationship between different heat loads H and the closed water circuit circulating cooling water volume Q1; then, according to the corresponding relationship between the heat load H and the closed water circuit circulating cooling water volume Q1, obtain a regression model of the closed water circuit circulating cooling water volume Q1 and the heat load H; finally, according to the regression model of the closed water circuit circulating cooling water volume Q1 and the heat load H, predict and control the closed water circuit circulating cooling water volume Q1;

[0009] S2: Construct a heat exchange calculation model for an open water circuit plate heat exchanger to obtain the corresponding relationship between different heat loads H and the open water circuit circulating cooling water volume Q2; then, based on the corresponding relationship between the heat load H and the open water circuit circulating cooling water volume Q2, obtain a regression model of the open water circuit circulating cooling water volume Q2 and the heat load H; finally, based on the regression model of the open water circuit circulating cooling water volume Q2 and the heat load H, predict and control the open water circuit circulating cooling water volume Q2;

[0010] S3: Construct an open water cooling tower heat exchange calculation model to obtain the corresponding relationship between different heat loads H and the cooling tower fan speed r; then, according to the corresponding relationship between the heat load H and the cooling tower fan speed r, obtain the regression model of the cooling tower fan speed r and the heat load H; finally, the regression model of the cooling tower fan speed r and the heat load H is used to predict and control the cooling tower fan speed r.

[0011] Furthermore, the closed water circuit heat exchange calculation model is:

[0012] C0(T1-T2)*Q0= C1(T4-T3)*Q1=H (Formula 1)

[0013] H= K1*F1*Δtm1 (Formula 2)

[0014] Among them, T1 is the user medium inlet temperature, T2 is the user medium outlet temperature, T3 is the closed water supply temperature, T4 is the closed water return temperature, C0 is the user medium specific heat capacity, C1 is the water specific heat capacity, Q0 is the user medium flow rate, Q1 is the closed water circulation cooling water volume, H is the heat load, K1 is the heat transfer coefficient, F1 is the heat exchange area, and Δtm1 is the logarithmic mean temperature difference.

[0015] Furthermore, in step S1, the corresponding relationship between the heat load H and the closed water circuit circulating cooling water volume Q1 is a discrete relationship, and a polynomial regression analysis is performed on the discrete points of the heat load H and the closed water circuit circulating cooling water volume Q1 to obtain a regression model of the closed water circuit circulating cooling water volume Q1 and the heat load H:

[0016] Q1=aH 2 +bH+c,R 2 ≥0.985 (Formula 3)

[0017] Among them, a, b, c are constants, and R2 is the coefficient of certainty of the regression equation.

[0018] Further, predicting and controlling the closed water circuit circulating cooling water volume Q1 according to the regression model of the closed water circuit circulating cooling water volume Q1 and the heat load H specifically includes:

[0019] According to the regression model of closed water circuit cooling water volume Q1 and heat load H, the closed water circuit cooling water volume Q1 corresponding to different heat loads H is predicted;

[0020] Calculate the number of running pumps and speed corresponding to different closed water circuit cooling water volume Q1 according to the pump characteristic curve and pipeline characteristic curve;

[0021] The operation of the corresponding water pump is controlled according to the calculation results of the number of running water pumps and the speed.

[0022] Furthermore, the heat transfer calculation model of the open water plate heat exchanger is:

[0023] (T4-T3)*Q1=(T6-T5)*Q2=H (Formula 4)

[0024] H= K2*F2*Δtm2 (Formula 5)

[0025] Among them, T3 is the closed water circuit supply temperature, T4 is the closed water circuit return temperature, T5 is the open water circuit supply temperature, T6 is the open water circuit return temperature, Q2 is the open water circuit circulating cooling water volume, K2 is the heat transfer coefficient, F2 is the heat exchange area, and Δtm2 is the logarithmic mean temperature difference.

[0026] Furthermore, in step S2, the corresponding relationship between the heat load H and the open water circuit circulating cooling water volume Q2 is a discrete relationship, and a polynomial regression analysis is performed on the discrete points of the heat load H and the open water circuit circulating cooling water volume Q2 to obtain a regression model of the open water circuit circulating cooling water volume Q2 and the heat load H:

[0027] Q2=dH 2 +eH+f,R 2 ≥0.985 (Formula 6)

[0028] Among them, d, e, and f are constants.

[0029] Further, the open water circuit circulating cooling water volume Q2 is predicted and controlled according to the regression model of the open water circuit circulating cooling water volume Q2 and the heat load H, specifically including:

[0030] According to the regression model of open water circuit circulating cooling water volume Q2 and heat load H, the open water circuit circulating cooling water volume Q2 corresponding to different heat loads H is predicted;

[0031] Calculate the number of running pumps and speed corresponding to different open water circuit circulating cooling water volume Q2 according to the pump characteristic curve and pipeline characteristic curve;

[0032] The operation of the corresponding water pump is controlled according to the calculation results of the number of running water pumps and the speed.

[0033] Furthermore, the software "CTI Toolkit" issued by CTI is used to calculate the outlet water temperature of the cooling tower under different working conditions. Combined with the tower size, packing volume and packing form, the heat exchange calculation model of the open water cooling tower is:

[0034] T5=f(T6, Q2, r, P, τ, ψ, λ, N) (Formula 7)

[0035] Among them, T5 is the open water supply temperature, T6 is the open water return temperature (i.e. the cooling tower inlet temperature), Q2 is the open water circulation cooling water volume, P is the atmospheric pressure, τ is the wet bulb temperature, ψ is the relative humidity, λ is the air-water ratio, N is the number of open water cooling towers in operation, and r is the cooling tower fan speed.

[0036] Furthermore, in step S2, the corresponding relationship between the heat load H and the cooling tower fan speed r is a discrete relationship, and a polynomial regression analysis is performed on the discrete points of the heat load H and the cooling tower fan speed r to obtain a regression model of the cooling tower fan speed r and the heat load H:

[0037] r=g(H / N) 2 +h(H / N)+i,R 2 ≥0.985 (Formula 8)

[0038] Among them, g, h, and i are constants.

[0039] The beneficial effects of the present invention are:

[0040] 1. The closed water circuit heat exchange calculation model is used to calculate the regression model of the closed water circuit circulating cooling water volume Q1 and the heat load H. The open water circuit plate heat exchanger heat exchange calculation model is used to calculate the regression model of the open water circuit circulating cooling water volume Q2 and the heat load H. The open water circuit cooling tower heat exchange calculation model is used to calculate the regression model of the cooling tower fan speed r and the heat load H. Then, according to the corresponding regression equations, the closed water circuit circulating cooling water volume Q1, the open water circuit circulating cooling water volume Q2 and the cooling tower fan speed r corresponding to different heat loads H are predicted. This application uses the prediction results to determine the operating parameters of the closed water circuit, the open water circuit and the cooling tower, and then determines the equipment operating parameters, which greatly improves the ability of the circulating cooling water system to quickly and accurately match different heat exchange loads, so that the user medium temperature can quickly reach a stable state.

[0041] 2. By considering the cooling tower under different meteorological conditions during calculation, the cooling tower outlet water temperature, that is, the open water supply temperature T5, is controlled to different values, and the initial water temperature of the pool is fully utilized, which shortens the user medium temperature stabilization time, enables the system to reach thermal balance as soon as possible, and meets the user's temperature stability requirements. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The same reference numerals are used in these drawings to represent the same or similar parts. The exemplary embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0043] Figure 1 The present invention provides a circulating cooling water system according to an embodiment of the present invention. Figure 2 Quickly match different heat load calculation logic diagrams for circulating cooling water systems. Figure 3 Water supply and heat load curve. Figure 4 Temperature and heat load curves. DETAILED DESCRIPTION

[0044] like Figure 1 The method shown for quickly matching the circulating cooling water system with different heat loads includes:

[0045] S1: Construct a closed water circuit heat exchange calculation model to obtain the corresponding relationship between different heat loads H and the closed water circuit circulating cooling water volume Q1; then, according to the corresponding relationship between the heat load H and the closed water circuit circulating cooling water volume Q1, obtain a regression model of the closed water circuit circulating cooling water volume Q1 and the heat load H; finally, according to the regression model of the closed water circuit circulating cooling water volume Q1 and the heat load H, predict and control the closed water circuit circulating cooling water volume Q1;

[0046] S2: Construct a heat exchange calculation model for an open water circuit plate heat exchanger to obtain the corresponding relationship between different heat loads H and the open water circuit circulating cooling water volume Q2; then, based on the corresponding relationship between the heat load H and the open water circuit circulating cooling water volume Q2, obtain a regression model of the open water circuit circulating cooling water volume Q2 and the heat load H; finally, based on the regression model of the open water circuit circulating cooling water volume Q2 and the heat load H, predict and control the open water circuit circulating cooling water volume Q2;

[0047] S3: Construct an open water cooling tower heat exchange calculation model to obtain the corresponding relationship between different heat loads H and the cooling tower fan speed r; then, according to the corresponding relationship between the heat load H and the cooling tower fan speed r, obtain the regression model of the cooling tower fan speed r and the heat load H; finally, the regression model of the cooling tower fan speed r and the heat load H is used to predict and control the cooling tower fan speed r.

[0048] According to one embodiment of the present application, the closed water circuit heat exchange calculation model is:

[0049] C0(T1-T2)*Q0= C1(T4-T3)*Q1=H (Formula 1)

[0050] H= K1*F1*Δtm1 (Formula 2)

[0051] Among them, T1 is the user medium inlet temperature, T2 is the user medium outlet temperature, T3 is the closed water supply temperature, T4 is the closed water return temperature, C0 is the user medium specific heat capacity, C1 is the water specific heat capacity, Q0 is the user medium flow rate, Q1 is the closed water circulation cooling water volume, H is the heat load, K1 is the heat transfer coefficient, F1 is the heat exchange area, Δtm1 is the logarithmic mean temperature difference;

[0052] The method for determining the logarithmic mean temperature difference Δtm1 includes:

[0053] When △Tmax1 / △Tmin1>1.7, △tm1=(△Tmax1-△Tmin1) / In(△Tmax1 / △Tmin1);

[0054] When △Tmax1 / △Tmin1≤1.7, △tm1=(△Tmax1+△Tmin1) / 2;

[0055] △T1=T1-T4, △T2=T2-T3, △Tmax1 is the larger of △T1 and △T2, and △Tmin1 is the smaller of △T1 and △T2.

[0056] According to one embodiment of the present application, in step S1, the corresponding relationship between the heat load H and the closed water circuit circulating cooling water volume Q1 is a discrete relationship, and a polynomial regression analysis is performed on the discrete points of the heat load H and the closed water circuit circulating cooling water volume Q1 to obtain a regression model of the closed water circuit circulating cooling water volume Q1 and the heat load H:

[0057] Q1=aH 2 +bH+c,R 2 ≥0.985 (Formula 3)

[0058] Among them, a, b, and c are constants, a is 0.0739, b is 60.524, and c is 2348.9; R 2 is the certainty coefficient of the regression equation, which takes a value of 0.993; that is, the above (Formula 3) is:

[0059] Q1=0.0739*H 2 +60.524*H+2348.9,R 2 =0.993 (Formula 3)

[0060] H range: 0MW~240MW,

[0061] Q1 range: 2500m 3 / h~13420m 3 / h.

[0062] According to one embodiment of the present application, predicting and controlling the closed water circuit circulating cooling water volume Q1 according to the regression model of the closed water circuit circulating cooling water volume Q1 and the heat load H specifically includes:

[0063] According to the regression model of closed water circuit cooling water volume Q1 and heat load H, the closed water circuit cooling water volume Q1 corresponding to different heat loads H is predicted;

[0064] Calculate the number of running pumps and speed corresponding to different closed water circuit cooling water volume Q1 according to the pump characteristic curve and pipeline characteristic curve;

[0065] The operation of the corresponding water pump is controlled according to the calculation results of the number of running water pumps and the speed.

[0066] According to one embodiment of the present application, the heat exchange calculation model of the open water plate heat exchanger is:

[0067] (T4-T3)*Q1=(T6-T5)*Q2=H (Formula 4)

[0068] H= K2*F2*Δtm2 (Formula 5)

[0069] Among them, T3 is the closed water supply temperature, T4 is the closed water return temperature, T5 is the open water supply temperature, T6 is the open water return temperature, Q2 is the open water circulation cooling water volume, K2 is the heat transfer coefficient, F2 is the heat exchange area, Δtm2 is the logarithmic mean temperature difference;

[0070] The method for determining the logarithmic mean temperature difference Δtm2 includes:

[0071] When △Tmax2 / △Tmin2>1.7, △tm2=(△Tmax2-△Tmin2) / In(△Tmax2 / △Tmin2);

[0072] When △Tmax2 / △Tmin2≤1.7, △tm2=(△Tmax2+△Tmin2) / 2;

[0073] △T3=T4-T6, △T4=T3-T5, △Tmax2 is the larger of △T3 and △T4, and △Tmin2 is the smaller of △T3 and △T4.

[0074] According to one embodiment of the present application, in step S2, the corresponding relationship between the heat load H and the open water circuit circulating cooling water volume Q2 is a discrete relationship, and a polynomial regression analysis is performed on the discrete points of the heat load H and the open water circuit circulating cooling water volume Q2 to obtain a regression model of the open water circuit circulating cooling water volume Q2 and the heat load H:

[0075] Q2=dH 2 +eH+f,R 2 ≥0.985 (Formula 6)

[0076] Among them, d, e, and f are constants respectively;

[0077] When 0<H<10MW, d is -16.667, e is 483.33, f is -166.67, R 2 The value is 0.991; at this time, the above (Formula 6) is:

[0078] Q2=-16.667*H 2 +483.33*H-166.67, R 2 =0.991 (Formula 5)

[0079] Q2 range: 1500m 3 / h~3000m 3 / h;

[0080] When 10MW≤H≤240MW, d is -0.0545, e is 71.809, f is 1998.3, R 2 The value is 0.989; at this time, the above (Formula 6) is:

[0081] Q2=-0.0545*H 2 +71.809* H 2 +1998.3,R 2 =0.989 (Formula 6)

[0082] Q2 range: 3000m 3 / h~16480m 3 / h.

[0083] According to one embodiment of the present application, predicting and controlling the open water circuit circulating cooling water volume Q2 according to the regression model of the open water circuit circulating cooling water volume Q2 and the heat load H specifically includes:

[0084] According to the regression model of open water circuit circulating cooling water volume Q2 and heat load H, the open water circuit circulating cooling water volume Q2 corresponding to different heat loads H is predicted;

[0085] Calculate the number of running pumps and speed corresponding to different open water circuit circulating cooling water volume Q2 according to the pump characteristic curve and pipeline characteristic curve;

[0086] The operation of the corresponding water pump is controlled according to the calculation results of the number of running water pumps and the speed.

[0087] According to one embodiment of the present application, the authoritative software "CTI Toolkit" issued by CTI is used to calculate the outlet water temperature of the cooling tower under different working conditions. Combined with the size of the tower, the volume of the packing and the form of the packing, the heat exchange calculation model of the open water cooling tower is:

[0088] T5=f(T6, Q2, r, P, τ, ψ, λ, N) (Formula 7)

[0089] Among them, T5 is the open water supply temperature (i.e. the cooling tower outlet water temperature), T6 is the open water return temperature (i.e. the cooling tower inlet water temperature), Q2 is the open water circulation cooling water volume (i.e. the cooling tower inlet water volume), P is the atmospheric pressure, τ is the wet bulb temperature, ψ is the relative humidity, λ is the air-water ratio, N is the number of open water cooling towers in operation, and r is the cooling tower fan speed.

[0090] According to one embodiment of the present application, in step S2, the corresponding relationship between the heat load H and the cooling tower fan speed r is a discrete relationship, and a polynomial regression analysis is performed on the discrete points of the heat load H and the cooling tower fan speed r to obtain a regression model of the cooling tower fan speed r and the heat load H:

[0091] r=g(H / N) 2 +h(H / N)+i,R 2 ≥0.985 (Formula 8)

[0092] Among them, g, h, and i are constants, g is -0.0068, h is 1.182, i is 8.3683, and R 2 The value is 0.996; at this time, the above (Formula 8) is:

[0093] r=-0.0068(H / N) 2 +1.182*(H / N)+8.3683,R 2 =0.996 (Formula 8)

[0094] r range is: 20Hz~50Hz.

[0095] This application uses the above method to quickly calculate the system water demand and cooling tower fan speed r under different heat loads, and adjusts the water supply by controlling the number of running water pumps and the speed, so that the user medium temperature quickly reaches a stable state (±0.5℃) that meets the operating requirements.

[0096] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solution of the present invention can be modified or replaced by equivalents without departing from the purpose and scope of the technical solution of the present invention, which should be included in the scope of the claims of the present invention.

Claims

1. A method for quickly matching different heat loads in a circulating cooling water system, characterized in that: include S1: Construct a closed water circuit heat exchange calculation model to obtain the corresponding relationship between different heat loads H and the closed water circuit circulating cooling water volume Q1; then obtain a regression model of the closed water circuit circulating cooling water volume Q1 and the heat load H according to the corresponding relationship between the heat load H and the closed water circuit circulating cooling water volume Q1; finally, predict and control the closed water circuit circulating cooling water volume Q1 according to the regression model of the closed water circuit circulating cooling water volume Q1 and the heat load H; S2: construct a heat exchange calculation model for an open water circuit plate heat exchanger to obtain the corresponding relationship between different heat loads H and the open water circuit circulating cooling water volume Q2; then, according to the corresponding relationship between the heat load H and the open water circuit circulating cooling water volume Q2, obtain a regression model of the open water circuit circulating cooling water volume Q2 and the heat load H; finally, according to the regression model of the open water circuit circulating cooling water volume Q2 and the heat load H, predict and control the open water circuit circulating cooling water volume Q2; S3: Construct an open water cooling tower heat exchange calculation model to obtain the corresponding relationship between different heat loads H and the cooling tower fan speed r; then obtain a regression model of the cooling tower fan speed r and the heat load H based on the corresponding relationship between the heat load H and the cooling tower fan speed r; finally, the regression model of the cooling tower fan speed r and the heat load H is used to predict and control the cooling tower fan speed r.

2. The method for quickly matching different heat loads in a circulating cooling water system according to claim 1, characterized in that: The closed water circuit heat exchange calculation model is: C0(T1-T2)*Q0= C1(T4-T3)*Q1=H (Formula 1) H= K1*F1*Δtm1 (Formula 2) Among them, T1 is the user medium inlet temperature, T2 is the user medium outlet temperature, T3 is the closed water supply temperature, T4 is the closed water return temperature, C0 is the user medium specific heat capacity, C1 is the water specific heat capacity, Q0 is the user medium flow rate, Q1 is the closed water circulation cooling water volume, H is the heat load, K1 is the heat transfer coefficient, F1 is the heat exchange area, and Δtm1 is the logarithmic mean temperature difference.

3. The method for quickly matching different heat loads in a circulating cooling water system according to claim 2, characterized in that: In step S1, the corresponding relationship between the heat load H and the closed water circuit circulating cooling water volume Q1 is a discrete relationship. A polynomial regression analysis is performed on the discrete points of the heat load H and the closed water circuit circulating cooling water volume Q1 to obtain a regression model of the closed water circuit circulating cooling water volume Q1 and the heat load H: Q1=aH 2 +bH+c,R 2 ≥0.985 (Formula 3) Among them, a, b, c are constants, R 2 is the coefficient of certainty of the regression equation.

4. The method for quickly matching different heat loads in a circulating cooling water system according to claim 1, characterized in that: Predicting and controlling the closed water circuit circulating cooling water volume Q1 according to the regression model of the closed water circuit circulating cooling water volume Q1 and the heat load H specifically includes: According to the regression model of the closed water circuit circulating cooling water volume Q1 and the heat load H, the closed water circuit circulating cooling water volume Q1 corresponding to different heat loads H is predicted; Calculate the number of running pumps and speed corresponding to different closed water circuit cooling water volume Q1 according to the pump characteristic curve and pipeline characteristic curve; The operation of the corresponding water pump is controlled according to the calculation result of the number of running water pumps and the speed.

5. The method for quickly matching different heat loads in a circulating cooling water system according to claim 1, characterized in that: The heat exchange calculation model of the open water plate heat exchanger is: (T4-T3)*Q1=(T6-T5)*Q2=H (Formula 4) H= K2*F2*Δtm2 (Formula 5) Among them, T3 is the closed water circuit supply temperature, T4 is the closed water circuit return temperature, T5 is the open water circuit supply temperature, T6 is the open water circuit return temperature, Q2 is the open water circuit circulating cooling water volume, K2 is the heat transfer coefficient, F2 is the heat exchange area, and Δtm2 is the logarithmic mean temperature difference.

6. The method for quickly matching different heat loads in a circulating cooling water system according to claim 5, characterized in that: In step S2, the corresponding relationship between the heat load H and the open water circuit circulating cooling water volume Q2 is a discrete relationship. A polynomial regression analysis is performed on the discrete points of the heat load H and the open water circuit circulating cooling water volume Q2 to obtain a regression model of the open water circuit circulating cooling water volume Q2 and the heat load H: Q2 = dH 2 + eH + f, R 2 ≥ 0.985 (Equation 6) Among them, d, e, and f are constants.

7. The method for quickly matching different heat loads in a circulating cooling water system according to claim 6, characterized in that: Predicting and controlling the open water circuit circulating cooling water volume Q2 according to the regression model of the open water circuit circulating cooling water volume Q2 and the heat load H specifically includes: According to the regression model of the open water circuit circulating cooling water volume Q2 and the heat load H, the open water circuit circulating cooling water volume Q2 corresponding to different heat loads H is predicted; Calculate the number of running pumps and speed corresponding to different open water circuit circulating cooling water volume Q2 according to the pump characteristic curve and pipeline characteristic curve; The operation of the corresponding water pump is controlled according to the calculation result of the number of running water pumps and the speed.

8. The method for quickly matching different heat loads in a circulating cooling water system according to claim 1, characterized in that: The software "CTI Toolkit" is used to calculate the outlet water temperature of the cooling tower under different working conditions. Combined with the tower size, packing volume and packing form, the heat exchange calculation model of the open water cooling tower is: T5=f(T6, Q2, r, P, τ, ψ, λ, N) (Formula 7) Among them, T5 is the open water supply temperature, T6 is the open water return temperature, Q2 is the open water circulating cooling water volume, P is the atmospheric pressure, τ is the wet bulb temperature, ψ is the relative humidity, λ is the air-water ratio, N is the number of open water cooling towers in operation, and r is the speed of the cooling tower fan.

9. The method for quickly matching different heat loads in a circulating cooling water system according to claim 8, characterized in that: In step S2, the corresponding relationship between the heat load H and the cooling tower fan speed r is a discrete relationship, and a polynomial regression analysis is performed on the discrete points of the heat load H and the cooling tower fan speed r to obtain a regression model of the cooling tower fan speed r and the heat load H: r = g(H / N) 2 + h(H / N) + i, R 2 ≥ 0.985 (Equation 8) Among them, g, h, and i are constants.

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