Air-cooled unit column fan operation parameter determination method, device, equipment and medium

By collecting exhaust steam and condensate pressure to calculate heat load, and combining experimental data and heat balance characteristics to determine the optimal frequency of the air-cooled fan, the problem of optimizing the operation of air-cooled units was solved, and energy saving, emission reduction and automatic control were achieved.

CN117804248BActive Publication Date: 2026-07-24XIAN THERMAL POWER RES INST CO LTD +1
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
XIAN THERMAL POWER RES INST CO LTD
Filing Date
2024-01-03
Publication Date
2026-07-24

AI Technical Summary

Technical Problem

Existing technologies cannot quickly determine the optimal speed or frequency of air-cooled fans, making it difficult to optimize the operation of air-cooled units.

Method used

By collecting pressure data from the exhaust main pipe and condensate channel, calculating the heat load of the steam distribution pipe, and combining experimental data to fit the functional relationship between ambient temperature, electric power and fan frequency, the optimal operating frequency is determined using the turbine's thermal balance characteristics.

Benefits of technology

It achieves economical operation of air-cooled units, significantly saves energy and reduces emissions, and supports automatic control and online real-time optimization to meet engineering requirements.

✦ Generated by Eureka AI based on patent content.

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Abstract

The present application relates to air cooling unit energy saving and consumption reducing technical field, disclose air cooling unit column fan operation parameter determination method, device, equipment and medium, including: the exhaust pressure of exhaust main pipe and the condensate pressure of each column condensate way are collected;Based on the exhaust pressure and condensate pressure, the heat load of each column steam distribution pipe is calculated;Using the experimental data obtained in advance, the first relationship function between ambient temperature, electric power and fan optimal frequency is fitted;According to the thermal balance characteristics of steam turbine, the second relationship function between electric power and heat load is fitted;Based on the first relationship function and the second relationship function, the heat load deviation of each column steam distribution pipe and the optimal operating frequency of each column fan are calculated, the optimal operating frequency corresponding to each column fan can be calculated simply, which provides guidance for the economic operation of air cooling unit, achieves the purpose of deep energy saving and emission reduction, and the energy saving effect is remarkable, online real-time optimization calculation meets the needs of engineering.
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Description

Technical Field

[0001] This invention relates to the field of energy-saving and consumption-reducing technology for air-cooled units, specifically to a method, device, equipment, and medium for determining the operating parameters of the air-cooled unit's fan. Background Technology

[0002] The development of air-cooled technology in power plants has provided an effective solution to the problem of abundant coal and limited water. Compared with traditional cold-end water-cooled tower technology, direct air-cooling technology exhibits outstanding water-saving advantages. Therefore, direct air-cooling technology has been widely used and is very suitable for coal-fired power plants, circulating fluidized bed power plants, and concentrated solar power plants.

[0003] In related technologies, air-cooled unit operation optimization is a method that determines the optimal speed or frequency of air-cooled fans based on a given electrical power and ambient temperature, and is widely used in actual power plant operations. However, since the steam intake of each fan group in the air-cooled island is different, the optimal operating mode of each fan group also differs. Therefore, how to quickly determine the optimal speed or frequency of air-cooled fans is an urgent problem to be solved. Summary of the Invention

[0004] In view of this, the present invention provides a method, apparatus, equipment and medium for determining the operating parameters of air-cooled unit fans, so as to solve the problem of not being able to quickly determine the optimal frequency of air-cooled fans.

[0005] In a first aspect, the present invention provides a method for determining the operating parameters of the air-cooled unit's fan, the method comprising:

[0006] Collect the exhaust pressure of the main exhaust pipe and the condensate pressure of each condensate channel;

[0007] The heat load of each steam distribution pipe is calculated based on the exhaust pressure and condensate pressure.

[0008] Using the pre-obtained experimental data, the functional relationship between ambient temperature, electric power and the optimal frequency of the fan was fitted, and the first relationship function among the three was determined. The experimental data consisted of multiple sets of data on the optimal frequency of the fan at different electric power and different ambient temperatures.

[0009] Based on the thermal balance characteristics of the steam turbine, the relationship between electrical power and thermal load is obtained by fitting, and the second relationship function between the two is determined.

[0010] Based on the first and second relational functions, the heat load deviation of each column of steam distribution pipes and the optimal operating frequency of each column of fans are calculated.

[0011] In this invention, the heat load of each condensate channel is calculated using exhaust steam pressure and condensate pressure, and then the fan columns are optimized and precisely calculated. For columns with high heat load, the fan speed is increased accordingly, and for columns with low heat load, the fan speed is decreased accordingly. By fitting the functional relationship between ambient temperature, electrical power, and the optimal fan frequency, as well as the relationship between electrical power and heat load, the optimal operating frequency for each fan column can be easily calculated. This provides guidance for the economical operation of air-cooled units, achieving the goal of deep energy saving and emission reduction, with significant energy-saving effects. At the same time, it can realize automatic control and online real-time optimization calculation to meet engineering requirements.

[0012] In one optional implementation, the heat load of each steam distribution pipe is calculated based on the exhaust pressure and condensate pressure, including:

[0013] Calculate the difference between the exhaust steam pressure and the condensate pressure to obtain the pressure difference of each steam distribution pipe;

[0014] Based on the pressure difference of each column of steam distribution pipes, the steam flow rate of each column of steam distribution pipes is calculated;

[0015] The heat load of each steam distribution pipe is calculated based on the steam flow rate of each steam distribution pipe.

[0016] In this method, since the steam flow rate in the steam distribution pipes of the turbine unit cannot be directly measured, the proportion of steam in each row needs to be determined by the steam pressure difference. The turbine exhaust steam flows through the exhaust main pipe and enters the steam distribution pipes of each row in the air-cooled island, where it condenses and collects as condensate before entering the hot well. The proportion of steam in each row of the steam distribution pipes can be easily calculated by calculating the difference between the exhaust steam pressure and the condensate pressure.

[0017] In one optional implementation, using pre-obtained experimental data, a functional relationship is fitted between ambient temperature, electrical power, and the optimal frequency of the fan, including:

[0018] Experimental data were obtained on the optimal frequency of each fan unit under different electrical loads and ambient temperatures.

[0019] An initial function is established based on the relationship between electrical load, electrical power and the optimal frequency of the fan. The initial function uses electrical load and electrical power as variables and the optimal frequency of the fan as the dependent variable.

[0020] Substitute the experimental data into the initial function to calculate the coefficients of the initial function;

[0021] Substituting the calculated coefficients into the initial function yields the first relational function.

[0022] In this approach, since electrical load is easier to control and test than thermal load, the optimal frequency is obtained based on electrical load, which makes it easier to determine the optimal frequency corresponding to different electrical loads, and then calculate the optimal frequency of the fan under different thermal load distributions.

[0023] In one alternative implementation, the second relational function formula is as follows:

[0024] Q = αN + β

[0025] Where α and β are constants, Q is the heat load of the air-cooled unit, and N is the electrical power.

[0026] In this method, by calculating the correspondence between the thermal load and electrical load of the steam turbine unit, it is easy to convert the optimal frequency corresponding to the electrical load into the optimal frequency corresponding to the thermal load. Then, the different thermal load distributions of each column are corrected to determine the optimal operating frequency of the fan corresponding to different thermal loads.

[0027] In one optional implementation, based on a first relational function and a second relational function, the heat load deviation of each column of steam distribution pipes and the optimal operating frequency of each column of fans are calculated, including:

[0028] Based on the heat load of each column of steam distribution pipes, calculate the average heat load and heat load deviation of each column of steam distribution pipes;

[0029] The average frequency of each column of fans is calculated based on the first and second relational functions.

[0030] Based on the ambient temperature, the average heat load and heat load deviation of each row of steam distribution pipes, the optimized frequency increment of each row of fans is calculated.

[0031] Based on the optimized frequency increment, the optimal operating frequency of each fan column is calculated.

[0032] In this method, the heat load of each column of steam distribution pipes is calculated. By using the relationship between electrical power and heat load, and substituting the functional relationship between ambient temperature, electrical power, and the optimal frequency of the fan, the functional relationship between heat load, ambient temperature, and the optimal frequency of the fan is obtained. This allows for a simpler calculation of the optimal operating frequency of the fan under different heat loads. It is convenient to change the fan operating frequency according to changes in heat load. For columns with high heat load, the fan speed is increased accordingly, and for columns with low heat load, the fan speed is decreased accordingly. By optimizing the fan operating frequency online in real time, the energy-saving effect is significant.

[0033] In one alternative implementation, the formula for calculating the optimized frequency increment of each column of fans is as follows:

[0034]

[0035] Where, Δf opt For the optimized frequency increment of each fan column, The partial differential sign is given, where ΔQ is the heat load deviation, and Q is the partial differential sign. AVE θ1, θ2, and θ3 are the average heat loads of each steam distribution pipe, T is the ambient temperature, and θ1, θ2, and θ3 are constant coefficients.

[0036] In this method, the optimized frequency increment of each column of fans is calculated, which facilitates real-time optimization of the fan operating frequency and significantly improves energy-saving effect.

[0037] In one alternative implementation, the method further includes:

[0038] Determine if the optimal operating frequency of the fan is greater than 55Hz;

[0039] When the optimal operating frequency of the fan is greater than 55Hz, the optimal operating frequency of the fan is determined to be 55Hz.

[0040] In this method, by setting the maximum operating frequency of the fan, it is ensured that the fan will not exceed the operating limit, which not only protects the fan from overload but also further improves the energy-saving effect.

[0041] Secondly, the present invention provides a device for determining the operating parameters of air-cooled unit fan columns, the device comprising:

[0042] The pressure acquisition module is used to acquire the exhaust pressure of the exhaust steam main and the condensate pressure of each condensate channel.

[0043] The heat load calculation module is used to calculate the heat load of each column of steam distribution pipes based on the exhaust steam pressure and condensate pressure.

[0044] The first relationship function determination module is used to fit the functional relationship between ambient temperature, electric power and the optimal frequency of the fan using the pre-obtained experimental data, and determine the first relationship function between the three. The experimental data consists of multiple sets of data for the optimal frequency of the fan under different electric power and different ambient temperatures.

[0045] The second relationship function determination module is used to fit the relationship between electric power and heat load based on the thermal balance characteristics of the steam turbine, and determine the second relationship function between the two.

[0046] The optimal operating frequency calculation module is used to calculate the heat load deviation of each column of steam distribution pipes and the optimal operating frequency of each column of fans based on the first relation function and the second relation function.

[0047] Thirdly, the present invention provides a computer device, comprising: a memory and a processor, wherein the memory and the processor are communicatively connected to each other, the memory stores computer instructions, and the processor executes the computer instructions to perform the method for determining the operating parameters of the air-cooled unit fan column as described in the first aspect or any corresponding embodiment.

[0048] Fourthly, the present invention provides a computer-readable storage medium storing computer instructions for causing a computer to execute the method for determining the operating parameters of the air-cooled unit fan column according to the first aspect or any corresponding embodiment described above. Attached Figure Description

[0049] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0050] Figure 1 This is a flowchart illustrating a method for determining the operating parameters of an air-cooled unit fan according to an embodiment of the present invention.

[0051] Figure 2 This is a schematic diagram of the arrangement of measuring points on an air-cooled island according to an embodiment of the present invention.

[0052] Figure 3 This is a schematic diagram of a pressure measuring point arrangement according to an embodiment of the present invention.

[0053] Figure 4 This is a flowchart illustrating another method for determining the operating parameters of the air-cooled unit fan according to an embodiment of the present invention.

[0054] Figure 5 This is a flowchart illustrating another method for determining the operating parameters of the air-cooled unit fan according to an embodiment of the present invention.

[0055] Figure 6 This is a structural block diagram of an air-cooled unit fan operating parameter determination device according to an embodiment of the present invention.

[0056] Figure 7 This is a schematic diagram of the hardware structure of a computer device according to an embodiment of the present invention. Detailed Implementation

[0057] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0058] In related technologies, air-cooled unit operation optimization is a method that determines the optimal speed or frequency of air-cooled fans based on a given electrical power and ambient temperature, and is widely used in actual power plant operations. However, since the steam intake of each fan group in the air-cooled island is different, the optimal operating mode of each fan group also differs. Therefore, how to quickly determine the optimal speed or frequency of air-cooled fans is an urgent problem to be solved.

[0059] To address the aforementioned problems, this invention provides a method for determining the operating parameters of air-cooled unit fan columns, used in a computer device. It should be noted that the executing entity can be an air-cooled unit fan column operating parameter determining device, which can be implemented as part or all of the computer device through software, hardware, or a combination of both. The computer device can be a terminal, client, or server. The server can be a single server or a server cluster composed of multiple servers. In this embodiment, the terminal can be a smartphone, personal computer, tablet computer, or other smart hardware device. The following method embodiments all use a computer device as the executing entity for illustration.

[0060] The computer equipment in this embodiment is suitable for applications involving optimizing the operation of each row of fans in an air-cooled unit. This invention provides a method for determining the operating parameters of each row of fans in an air-cooled unit. By calculating the heat load of each row of condensate channels using exhaust steam pressure and condensate pressure, precise optimization calculations can be performed on each row of fans. For rows with high heat loads, the fan speed is increased accordingly, while for rows with low heat loads, the fan speed is decreased accordingly. By fitting the functional relationships between ambient temperature, electrical power, and the optimal fan frequency, as well as the relationship between electrical power and heat load, the optimal operating frequency for each row of fans can be easily calculated. This provides guidance for the economical operation of the air-cooled unit, achieving deep energy conservation and emission reduction, with significant energy-saving effects. Simultaneously, it enables automatic control and online real-time optimization calculations, meeting engineering requirements.

[0061] According to an embodiment of the present invention, a method for determining the operating parameters of the air-cooled unit's fan is provided. It should be noted that the steps shown in the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions. Furthermore, although a logical order is shown in the flowchart, in some cases, the steps shown or described may be executed in a different order than that shown here.

[0062] This embodiment provides a method for determining the operating parameters of the air-cooled unit's fan, which can be used with the aforementioned computer equipment. Figure 1 This is a flowchart of a method for determining the operating parameters of an air-cooled unit fan according to an embodiment of the present invention, such as... Figure 1 As shown, the process includes the following steps:

[0063] Step S101: Collect the exhaust pressure of the exhaust main pipe and the condensate pressure of each condensate channel.

[0064] In one example, Figure 2 This is a schematic diagram of the arrangement of measuring points on an air-cooled island according to an embodiment of the present invention. Figure 3 This is a schematic diagram of a pressure measuring point arrangement according to an embodiment of the present invention, as shown below. Figure 2 As shown, Figure 2 1 is the main exhaust pipe, 2 is the main exhaust pipe pressure sensor, 3 is the steam distribution pipe for each row, 4 is the air-cooled island, 5 is the condensate pressure sensor for each row, and 6 is the condensate pipe for each row. One main exhaust pipe pressure sensor is installed on the main exhaust pipe, positioned between the main exhaust pipe and each row of steam distribution pipes, to measure the exhaust pressure p. ex One condensate pressure sensor is installed in each column of condensate pipes to measure the condensate pressure p in each column. con_i , where i represents the i-th column.

[0065] Step S102: Based on the exhaust pressure and condensate pressure, calculate the heat load of each steam distribution pipe.

[0066] In one example, since the steam flow rate within the steam distribution pipes cannot be directly measured, the steam share of each row of steam distribution pipes needs to be determined using the steam pressure difference. Turbine exhaust steam flows through the exhaust main pipe and enters the steam distribution pipes of each row in the air-cooled island, where it condenses and collects as condensate before entering the hot well. Steam resistance is the difference between the exhaust steam pressure in the exhaust main pipe and the condensate pressure in each row of condensate channels. The formula for calculating the pressure difference between each row is as follows:

[0067] Δp i =p ex -p con_i

[0068] Where, Δp iLet p be the pressure difference of the i-th column of steam distribution pipes, i.e., the steam resistance of the i-th column of steam distribution pipes. ex p is the exhaust pressure. con_i Let be the condensate pressure of the i-th condensate channel.

[0069] The sum of the steam flow rates in each column equals the turbine exhaust flow rate. The steam distribution pipes are connected in parallel, and the steam resistance in each column is proportional to the square of the flow rate in that column. The formula for calculating the steam flow rate in the i-th column is as follows:

[0070]

[0071]

[0072]

[0073]

[0074] Where k is a constant coefficient, Δp i Let q be the steam resistance of the i-th column of the steam distribution pipe. i Let q be the steam flow rate of the i-th column, q be the exhaust flow rate of the exhaust main pipe, and n be the total number of columns in the steam distribution pipe.

[0075] Within the allowable error range, the heat load of each column is proportional to the steam flow rate. The exhaust enthalpy is obtained by measuring the exhaust pressure and humidity, while the condensate enthalpy is obtained by measuring the condensate temperature. Due to the isoenthalpic characteristics of throttling, within the engineering allowable error range, the condensate enthalpy and exhaust enthalpy of each column can be considered equivalent to those of the main pipe. Therefore, the heat dissipation Q of each column... i Steam flow rate q in the corresponding column i The heat load calculation formula for each column of steam distribution pipes is directly proportional to the heat load of the steam distribution pipes, as follows:

[0076] Q i =q i (h ex -h con )

[0077] Among them, Q i h represents the heat load of the steam distribution pipe in column i. ex For exhaust enthalpy, h con This refers to the enthalpy of condensation.

[0078] Step S103: Using the pre-obtained experimental data, fit the functional relationship between ambient temperature, electric power and the optimal frequency of the fan, and determine the first relationship function among the three.

[0079] In this embodiment of the invention, the experimental data consists of multiple sets of data on the optimal frequency of the fan corresponding to different electrical power and different ambient temperatures.

[0080] In one example, since electrical load is easier to control and experiment with than thermal load, the optimal frequency is obtained based on electrical load.

[0081] Step S104: Based on the thermal balance characteristics of the steam turbine, the relationship between electrical power and thermal load is fitted to determine the second relationship function between the two.

[0082] In one example, based on the turbine's thermal balance characteristics, the relationship between electrical power and heat load is fitted. Generally, the two have a linear relationship, as shown in the following formula:

[0083] Q = αN + β

[0084] Where α and β are constants, Q is the heat load of the air-cooled island, and N is the electrical power.

[0085] Step S105: Based on the first relational function and the second relational function, calculate the heat load deviation of each column of steam distribution pipes and the optimal operating frequency of each column of fans.

[0086] In one example, by substituting the relationship between electrical power and heat load into the functional relationship between ambient temperature, electrical power and the optimal frequency of the fan, the relationship between heat load and the optimal operating frequency of each fan column is calculated, and then the heat load deviation of each steam distribution pipe and the optimal operating frequency of each fan column are calculated.

[0087] In one implementation scenario, taking a 660MW direct air-cooled unit as an example, the air-cooled unit has 56 air-cooled units, which are divided into 8 rows.

[0088] A pressure sensor is installed in the exhaust pipe to measure the exhaust pressure p. ex =13.50 kPa; Pressure sensors were installed in each column of condensate pipes, and Table 1 shows the steam pressure loss Δp for each column. i The calculation of condensate pressure p in each column con_i As shown in Table 1.

[0089] Table 1

[0090]

[0091] 2) Calculation of steam flow rate in steam distribution pipe:

[0092] The total exhaust steam flow rate of the steam turbine is q = 650 t / h, q i Let be the steam flow rate of the i-th column.

[0093] The steam volume of each column can be obtained. Then the heat load Q of each column i =q i (h ex -h conTable 2 shows the calculation of steam flow rate and heat load for each column.

[0094] Table 2

[0095]

[0096]

[0097] 3) Optimal vacuum was tested at 50%-100% load, with each 10% mark representing a node; tests were conducted at ambient temperatures ranging from 5℃ to 25℃, with each 5℃ mark representing a node. Table 3 shows the calculation of the optimal frequency, as shown in Table 4. The results in Table 3 are obtained from the tests.

[0098] Table 3

[0099]

[0100] Based on spline fitting, under a certain load, the optimal frequency point can be fitted with a cubic spline function relationship with ambient temperature and electrical power (since the cubic term is extremely small, it can be simplified to a quadratic function for ease of processing while meeting accuracy requirements). The optimal operating frequency f is then determined. opt This can be expressed as a bivariate function of electric power N and ambient temperature T. Based on discrete points, a least squares method or commercial software can be used for fitting; the fitting formula is as follows:

[0101] f opt =-2.864+1.772*T+0.080477*N-0.002014*T*N--0.001787*T*T-(2.194E-05)*N*N

[0102] 4) Based on the thermal balance characteristics of the steam turbine, the relationship between electrical power and thermal load was fitted. Table 4 shows the relationship between electrical power and thermal load.

[0103] Table 4

[0104]

[0105] The fitted formula is as follows:

[0106] N = 1.111Q - 127.5

[0107] Get f opt The expressions for Q and T are as follows:

[0108] f opt =-13.4815+2.0288*T+0.095626Q-0.002237QT-0.001787T 2 -0.000027018Q 2 ...(A)

[0109] Replacing the total heat load Q with the column average heat load Qave, where Qave = Q / 8, we get:

[0110] f opt =-13.4815+2.0288*T+0.765008Q ave -0.017896Q ave T-0.001787T 2 -0.001729152Q ave 2

[0111] The rate of change of the optimal frequency with respect to the average heat load can be obtained.

[0112]

[0113] f opt-i =f opt +0.765008-0.017896T-0.003458Q ave ........................(B)

[0114] 5) Calculate the deviation ΔQ in the heat load of the steam distribution pipes in the air-cooled island. i and the corresponding frequency change Δf opt-i Table 5 shows the heat load deviation of each column of steam distribution pipes and the corresponding optimized fan frequency, as shown in Table 5.

[0115] Table 5

[0116]

[0117]

[0118] The method for determining the operating parameters of the air-cooled unit's fans provided in this embodiment calculates the heat load of each condensate channel by using exhaust steam pressure and condensate pressure, and then performs precise optimization calculations for each fan column. For columns with high heat loads, the fan speed is increased accordingly, while for columns with low heat loads, the fan speed is decreased accordingly. By fitting the functional relationship between ambient temperature, electrical power, and the optimal fan frequency, as well as the relationship between electrical power and heat load, the optimal operating frequency for each fan column can be easily calculated. This provides guidance for the economical operation of the air-cooled unit, achieving deep energy saving and emission reduction, with significant energy-saving effects. Simultaneously, it enables automatic control and online real-time optimization calculations to meet engineering requirements.

[0119] This embodiment provides a method for determining the operating parameters of the air-cooled unit's fan, which can be used with the aforementioned computer equipment. Figure 4This is a flowchart of another method for determining the operating parameters of the air-cooled unit fan according to an embodiment of the present invention, such as... Figure 4 As shown, the process includes the following steps:

[0120] Step S401: Collect the exhaust pressure of the main exhaust pipe and the condensate pressure of each condensate channel. For details, please refer to [link to relevant documentation]. Figure 1 Step S101 of the illustrated embodiment will not be described again here.

[0121] Step S402: Based on the exhaust steam pressure and condensate pressure, calculate the heat load of each steam distribution pipe.

[0122] Specifically, step S402 includes:

[0123] Step S4021: Calculate the difference between the exhaust steam pressure and the condensate pressure to obtain the pressure difference of each steam distribution pipe.

[0124] Step S4022: Calculate the steam flow rate of each steam distribution pipe based on the pressure difference of each steam distribution pipe.

[0125] Step S4023: Calculate the heat load of each steam distribution pipe based on the steam flow rate of each column of steam distribution pipes.

[0126] In one example, since the steam flow rate within the steam distribution pipes cannot be directly measured, the steam share of each row of steam distribution pipes needs to be determined using the steam pressure difference. Turbine exhaust steam flows through the exhaust main pipe and enters the steam distribution pipes of each row in the air-cooled island, where it condenses and collects as condensate before entering the hot well. Steam resistance is the difference between the exhaust steam pressure in the exhaust main pipe and the condensate pressure in each row of condensate channels. The formula for calculating the pressure difference between each row is as follows:

[0127] Δp i =p ex -p con_i

[0128] Where, Δp i Let p be the pressure difference of the i-th column of steam distribution pipes, i.e., the steam resistance of the i-th column of steam distribution pipes. ex p is the exhaust pressure. con_i Let be the condensate pressure of the i-th condensate channel.

[0129] The sum of the steam flow rates in each column equals the turbine exhaust flow rate. The steam distribution pipes are connected in parallel, and the steam resistance in each column is proportional to the square of the flow rate in that column. The formula for calculating the steam flow rate in the i-th column is as follows:

[0130]

[0131]

[0132]

[0133]

[0134] Where k is a constant coefficient, Δp i Let q be the steam resistance of the i-th column of the steam distribution pipe. i Let q be the steam flow rate of the i-th column, q be the exhaust flow rate of the exhaust main pipe, and n be the total number of columns in the steam distribution pipe.

[0135] Within the allowable error range, the heat load of each column is proportional to the steam flow rate. The exhaust enthalpy is obtained by measuring the exhaust pressure and humidity, while the condensate enthalpy is obtained by measuring the condensate temperature. Due to the isoenthalpic characteristics of throttling, within the engineering allowable error range, the condensate enthalpy and exhaust enthalpy of each column can be considered equivalent to those of the main pipe. Therefore, the heat dissipation Q of each column... i steam flow rate q in the corresponding column i The heat load calculation formula for each column of steam distribution pipes is directly proportional to the heat load of the distribution pipes, as follows:

[0136] Q i =q i (h ex -h con )

[0137] Among them, Q i h represents the heat load of the steam distribution pipe in column i. ex For exhaust enthalpy, h con It is the enthalpy of condensation.

[0138] Step S403: Using the pre-obtained experimental data, fit the functional relationship between ambient temperature, electrical power, and the optimal frequency of the fan to determine the first relationship function among the three. For details, please refer to [link to relevant documentation]. Figure 1 Step S103 of the illustrated embodiment will not be described again here.

[0139] Step S404: Based on the turbine's thermal balance characteristics, the relationship between electrical power and heat load is fitted, and the second relationship function between the two is determined. For details, please refer to [link to details]. Figure 1 Step S104 of the illustrated embodiment will not be described again here.

[0140] Step S405: Based on the first and second relational functions, calculate the heat load deviation of each steam distribution pipe and the optimal operating frequency of each fan. For details, please refer to [link to relevant documentation]. Figure 1 Step S105 of the illustrated embodiment will not be described again here.

[0141] The method for determining the operating parameters of the air-cooled unit's fan columns provided in this embodiment relies on the steam pressure difference to determine the proportion of steam in each column, since the steam flow rate in the steam distribution pipes of the turbine unit cannot be directly measured. Turbine exhaust steam flows through the exhaust main pipe and enters the steam distribution pipes of each column in the air-cooled island, where it condenses and collects as condensate before entering the hot well. The proportion of steam in each column of the steam distribution pipe can be easily calculated by determining the difference between the exhaust steam pressure and the condensate pressure.

[0142] This embodiment provides a method for determining the operating parameters of the air-cooled unit's fan, which can be used with the aforementioned computer equipment. Figure 5 This is a flowchart of another method for determining the operating parameters of the air-cooled unit fan according to an embodiment of the present invention, such as... Figure 5 As shown, the process includes the following steps:

[0143] Step S501: Collect the exhaust pressure of the main exhaust pipe and the condensate pressure of each condensate channel. For details, please refer to [link to relevant documentation]. Figure 4 Step S401 of the illustrated embodiment will not be described again here.

[0144] Step S502: Based on the exhaust steam pressure and condensate pressure, calculate the heat load of each steam distribution pipe. For details, please refer to [link to relevant documentation]. Figure 4 Step S402 of the illustrated embodiment will not be described again here.

[0145] Step S503: Using the pre-obtained experimental data, fit the functional relationship between ambient temperature, electric power and the optimal frequency of the fan, and determine the first relationship function among the three.

[0146] Specifically, step S503 includes:

[0147] Step S5031: Obtain experimental data on the optimal frequency of each fan under different electrical loads and ambient temperatures.

[0148] Step S5032: Establish an initial function based on the relationship between electrical load, electrical power and the optimal frequency of the fan. The initial function uses electrical load and electrical power as variables and the optimal frequency of the fan as the dependent variable.

[0149] Step S5033: Substitute the experimental data into the initial function to calculate the coefficients of the initial function.

[0150] Step S5034: Substitute the calculated coefficients into the initial function to obtain the first relational function.

[0151] In one example, the optimal fan frequency for each operating point of the air-cooled island under test conditions of 100%-50% electrical load and 5℃-25℃ is expressed in scatter plot form, where f ijThe optimal fan frequency represents the row and column conditions, and THA represents the rated electrical load condition. Table 6 shows the optimal fan frequency for each row of fans under different electrical loads and ambient temperatures.

[0152] Table 6

[0153]

[0154] Based on spline fitting, under a certain load, the optimal frequency point can be fitted with a cubic spline function relationship with ambient temperature and electrical power (since the cubic term is extremely small, it can be easily simplified to a quadratic function while meeting accuracy requirements). The optimal operating frequency f is then determined. opt It can be expressed as a bivariate function of electric power N and ambient temperature T, as shown in the following formula:

[0155] f opt =f(N,T)

[0156] Among them, f opt The optimal frequency is N, where N is the electrical power and T is the ambient temperature.

[0157] By using partial differential equations, f(N,T) can be approximated as

[0158] f opt =a1N 2 +a2NT+a3N+a4T 2 +a5T+a6

[0159] According to Table 6, the constant coefficients a1 to a6 can be obtained by fitting using the least squares method.

[0160] In this approach, since electrical load is easier to control and test than thermal load, the optimal frequency is obtained based on electrical load, which makes it easier to determine the optimal frequency corresponding to different electrical loads, and then calculate the optimal frequency of the fan under different thermal load distributions.

[0161] Step S504: Based on the thermal balance characteristics of the steam turbine, the relationship between electrical power and thermal load is fitted to determine the second relationship function between the two.

[0162] Specifically, in step S504 above, the formula for the second relational function is as follows:

[0163] Q = αN + β

[0164] Where α and β are constants, Q is the heat load of the air-cooled unit, and N is the electrical power.

[0165] In this method, by calculating the correspondence between the thermal load and electrical load of the steam turbine unit, it is easy to convert the optimal frequency corresponding to the electrical load into the optimal frequency corresponding to the thermal load. Then, the different thermal load distributions of each column are corrected to determine the optimal operating frequency of the fan corresponding to different thermal loads.

[0166] Step S505: Based on the first relational function and the second relational function, calculate the heat load deviation of each column of steam distribution pipes and the optimal operating frequency of each column of fans.

[0167] Specifically, step S505 includes:

[0168] Step S5051: Based on the heat load of each column of steam distribution pipes, calculate the average heat load and heat load deviation of each column of steam distribution pipes.

[0169] Step S5052: Based on the first relational function and the second relational function, calculate the average frequency of each column of fans.

[0170] Step S5053: Based on the ambient temperature, the average heat load and heat load deviation of each row of steam distribution pipes, calculate the optimized frequency increment of each row of fans.

[0171] Step S5054: Based on the optimized frequency increment, calculate the optimal operating frequency of each column of fans.

[0172] In one example, when the heat load of the steam distribution pipe in the air-cooled island deviates, the electrical power changes linearly by ΔN = αΔQ.

[0173] Define the heat load deviation of the i-th column of the steam distribution pipe in the air-cooled island as ΔQ. i The formula is as follows:

[0174] ΔQ i =Q i -Q ave

[0175] Q ave =Q / n

[0176] Where n is the number of columns of the air-cooled island, Q AVE The average heat load of each column of steam distribution pipes is the difference between the heat load of this column and the average heat load of each column.

[0177] Formula: f opt =a1N 2 +a2NT+a3N+a4T 2 The relationship between the total frequency (average frequency) and the total electrical load is transformed into the relationship between the total frequency (average frequency) and the total heat load, resulting in the following formula:

[0178] fopt =b1Q 2 +b2QT+b3Q+b4T 2 +b5T+b6

[0179] Among them, b1 to b6 are constant coefficients.

[0180] Convert Q to average column heat load Q ave The corresponding optimal frequency remains unchanged, as shown in the following formula:

[0181] f opt =c1Q ave 2 +c2Q ave T+c3Q ave +c4T 2 +c5T+c6

[0182] Among them, c1 to c6 are constant coefficients.

[0183] When the heat load of the i-th column of the steam distribution pipe in the air-cooled island deviates by ΔQ i Then the frequency of optimization in the i-th column also generates an increment Δf. opt-i The formula for calculating the optimal frequency increment of each fan column is as follows:

[0184]

[0185] Where, Δf opt For the optimized frequency increment of each fan column, The sign is partial differential, ΔQ is the heat load deviation, and Q is the partial differential sign. AVE θ1, θ2, and θ3 are the average heat loads of each steam distribution pipe, T is the ambient temperature, and θ1, θ2, and θ3 are constant coefficients.

[0186] Therefore, the optimal operating frequency of the i-th fan is

[0187]

[0188] Substitute into the equation And equation Q i =q i (h ex -h con )

[0189] The formula is as follows:

[0190]

[0191] Where θ1, θ2, and θ3 are all constant coefficients. This can be determined by the steam resistance Δp of each steam distribution pipe. i The optimal operating frequency of each fan is obtained by taking the corresponding parameters.

[0192] In this method, the heat load of each steam distribution pipe is calculated. Using the relationship between electrical power and heat load, and substituting the functional relationship between ambient temperature, electrical power, and the optimal fan frequency, a functional relationship between heat load, ambient temperature, and the optimal fan frequency is obtained. This simplifies the calculation of the optimal operating frequency of the fan under different heat loads, allowing for adjustments to the fan operating frequency based on changes in heat load. For pipes with high heat loads, the fan speed is increased accordingly, while for pipes with low heat loads, the fan speed is decreased. Through online real-time optimization calculation of the fan operating frequency, significant energy-saving effects are achieved. The calculated optimal frequency increment for each fan pipe facilitates real-time optimization of the fan operating frequency, greatly improving energy efficiency.

[0193] Step S506: Determine whether the optimal operating frequency of the fan is greater than 55Hz.

[0194] Step S507: When the optimal operating frequency of the fan is greater than 55Hz, the optimal operating frequency of the fan is determined to be 55Hz.

[0195] In this method, by setting the maximum operating frequency of the fan, it is ensured that the fan will not exceed the operating limit, which not only protects the fan from overload but also further improves the energy-saving effect.

[0196] The method for determining the operating parameters of the air-cooled unit's fans provided in this embodiment is advantageous because electrical load is easier to control and test than thermal load. Therefore, the optimal frequency is obtained based on electrical load, facilitating the determination of the optimal frequency corresponding to different electrical loads, and subsequently calculating the optimal frequency of the fans under different thermal load distributions. By calculating the correspondence between the turbine unit's thermal load and electrical load, the optimal frequency corresponding to the electrical load is easily converted to the optimal frequency corresponding to the thermal load. Then, adjustments are made to the different thermal load distributions for each column to determine the optimal operating frequency of the fans for different thermal loads. By calculating the thermal load of each column's steam distribution pipes, and using the relationship between electrical power and thermal load, the functional relationship between ambient temperature, electrical power, and the optimal fan frequency is substituted to obtain the functional relationship between thermal load, ambient temperature, and the optimal fan frequency. This simplifies the calculation of the optimal operating frequency of the fans under different thermal loads, allowing for adjustments to the fan operating frequency based on changes in thermal load. For columns with high thermal loads, the fan speed is increased accordingly, while for columns with low thermal loads, the fan speed is decreased. Through online real-time optimization calculation of the fan operating frequency, significant energy-saving effects are achieved. By calculating the optimized frequency increment for each fan column, the operating frequency of the fans can be optimized in real time, significantly improving energy efficiency. Setting the maximum operating frequency of the fans ensures that they do not exceed their operating limits, protecting them from overload and further enhancing energy savings.

[0197] This embodiment also provides a device for determining the operating parameters of the air-cooled unit's fan column. This device is used to implement the above embodiments and preferred embodiments, and details already described will not be repeated. As used below, the term "module" can refer to a combination of software and / or hardware that performs a predetermined function. Although the device described in the following embodiments is preferably implemented in software, hardware implementation, or a combination of software and hardware, is also possible and contemplated.

[0198] This embodiment provides a device for determining the operating parameters of the air-cooled unit's fan, such as... Figure 6 As shown, it includes:

[0199] The pressure acquisition module 601 is used to acquire the exhaust pressure of the main exhaust pipe and the condensate pressure of each condensate channel. For details, please refer to [link to relevant documentation]. Figure 1 Step S101 of the illustrated embodiment will not be described again here.

[0200] The heat load calculation module 602 is used to calculate the heat load of each steam distribution pipe based on the exhaust steam pressure and condensate pressure. For details, please refer to [link to details]. Figure 1 Step S102 of the illustrated embodiment will not be described again here.

[0201] The first relationship function determination module 603 is used to fit the functional relationship between ambient temperature, electric power, and the optimal frequency of the fan using pre-obtained experimental data, and to determine the first relationship function among the three. For details, please refer to [link to relevant documentation]. Figure 1 Step S103 of the illustrated embodiment will not be described again here.

[0202] The second relationship function determination module 604 is used to fit the relationship between electrical power and heat load based on the turbine's thermal balance characteristics, and determine the second relationship function between the two. For details, please refer to [link to module 604]. Figure 1 Step S104 of the illustrated embodiment will not be described again here.

[0203] The optimal operating frequency calculation module 605 is used to calculate the heat load deviation of each row of steam distribution pipes and the optimal operating frequency of each row of fans based on the first and second relationship functions. For details, please refer to [link to module 605]. Figure 1 Step S105 of the illustrated embodiment will not be described again here.

[0204] In some alternative implementations, the heat load calculation module 602 includes:

[0205] The differential pressure calculation unit is used to calculate the difference between the exhaust steam pressure and the condensate pressure to obtain the differential pressure of each steam distribution pipe.

[0206] The steam flow calculation unit is used to calculate the steam flow rate of each steam distribution pipe based on the pressure difference of each steam distribution pipe.

[0207] The heat load calculation unit is used to calculate the heat load of each steam distribution pipe based on the steam flow rate of each steam distribution pipe.

[0208] In some optional implementations, the first relation function determination module 603 includes:

[0209] The data acquisition unit is used to acquire experimental data on the optimal frequency of each fan under different electrical loads and ambient temperatures.

[0210] The initial function establishment unit is used to establish an initial function based on the relationship between electrical load, electrical power, and the optimal frequency of the fan. The initial function uses electrical load and electrical power as variables and the optimal frequency of the fan as the dependent variable.

[0211] The coefficient calculation unit is used to substitute experimental data into the initial function and calculate the coefficients of the initial function.

[0212] The function substitution unit is used to substitute the calculated coefficients into the initial function to obtain the first relational function.

[0213] In some alternative implementations, the second relational function formula is as follows:

[0214] Q = αN + β

[0215] Where α and β are constants, Q is the heat load of the air-cooled unit, and N is the electrical power.

[0216] In some alternative implementations, the optimal operating frequency calculation module 605 includes:

[0217] The heat load deviation calculation unit is used to calculate the average heat load and heat load deviation of each steam distribution pipe based on the heat load of each column of steam distribution pipe.

[0218] The average frequency calculation unit is used to calculate the average frequency of each column of fans based on the first relational function and the second relational function.

[0219] The optimized frequency increment calculation unit is used to calculate the optimized frequency increment of each fan based on the ambient temperature, the average heat load of each steam distribution pipe, and the heat load deviation.

[0220] The optimal operating frequency calculation unit is used to calculate the optimal operating frequency for each column of fans based on the optimized frequency increment.

[0221] In some alternative implementations, the formula for calculating the optimized frequency increment of each fan column is as follows:

[0222]

[0223] Where, Δf optFor the optimized frequency increment of each fan column, The sign is partial differential, ΔQ is the heat load deviation, and Q is the partial differential sign. AVE θ1, θ2, and θ3 are the average heat loads of each steam distribution pipe, T is the ambient temperature, and θ1, θ2, and θ3 are constant coefficients.

[0224] In some optional embodiments, the air-cooled unit fan operating parameter determination device further includes:

[0225] The frequency determination unit is used to determine whether the optimal operating frequency of the fan is greater than 55Hz.

[0226] The operating power determination unit is used to determine that the optimal operating frequency of the fan is 55Hz when the optimal operating frequency of the fan is greater than 55Hz.

[0227] Further functional descriptions of the above modules and units are the same as those in the corresponding embodiments described above, and will not be repeated here.

[0228] In this embodiment, the air-cooled unit fan operating parameter determination device is presented in the form of a functional unit. Here, a unit refers to an ASIC (Application Specific Integrated Circuit) circuit, a processor and memory that execute one or more software or fixed programs, and / or other devices that can provide the above functions.

[0229] This invention also provides a computer device having the above-described features. Figure 6 The device shown is for determining the operating parameters of the air-cooled unit's fans.

[0230] Please see Figure 7 , Figure 7 This is a schematic diagram of the structure of a computer device provided in an optional embodiment of the present invention, such as... Figure 7 As shown, the computer device includes one or more processors 10, memory 20, and interfaces for connecting the components, including high-speed interfaces and low-speed interfaces. The components communicate with each other via different buses and can be mounted on a common motherboard or otherwise installed as needed. The processors can process instructions executed within the computer device, including instructions stored in or on memory to display graphical information of a GUI on external input / output devices (such as display devices coupled to the interfaces). In some alternative implementations, multiple processors and / or multiple buses can be used with multiple memories and multiple memory modules, if desired. Similarly, multiple computer devices can be connected, each providing some of the necessary operations (e.g., as a server array, a group of blade servers, or a multiprocessor system). Figure 7 Take a processor 10 as an example.

[0231] Processor 10 may be a central processing unit, a network processor, or a combination thereof. Processor 10 may further include a hardware chip. The hardware chip may be an application-specific integrated circuit (ASIC), a programmable logic device (PLD), or a combination thereof. The programmable logic device may be a complex programmable logic device (CAMP), a field-programmable gate array (FPGA), a general-purpose array logic (GDA), or any combination thereof.

[0232] The memory 20 stores instructions executable by at least one processor 10 to cause the at least one processor 10 to perform the method shown in the above embodiments.

[0233] The memory 20 may include a program storage area and a data storage area. The program storage area may store the operating system and applications required for at least one function; the data storage area may store data created based on the use of the computer device. Furthermore, the memory 20 may include high-speed random access memory and may also include non-transitory memory, such as at least one disk storage device, flash memory device, or other non-transitory solid-state storage device. In some alternative embodiments, the memory 20 may optionally include memory remotely located relative to the processor 10, and these remote memories may be connected to the computer device via a network. Examples of such networks include, but are not limited to, the Internet, intranets, local area networks, mobile communication networks, and combinations thereof.

[0234] The memory 20 may include volatile memory, such as random access memory; the memory may also include non-volatile memory, such as flash memory, hard disk or solid-state drive; the memory 20 may also include a combination of the above types of memory.

[0235] The computer device also includes a communication interface 30 for communicating with other devices or communication networks.

[0236] This invention also provides a computer-readable storage medium. The methods described above according to embodiments of the invention can be implemented in hardware or firmware, or implemented as computer code that can be recorded on a storage medium, or implemented as computer code downloaded via a network and originally stored on a remote storage medium or a non-transitory machine-readable storage medium and then stored on a local storage medium. Thus, the methods described herein can be processed by software stored on a storage medium using a general-purpose computer, a dedicated processor, or programmable or dedicated hardware. The storage medium can be a magnetic disk, optical disk, read-only memory, random access memory, flash memory, hard disk, or solid-state drive, etc.; further, the storage medium can also include combinations of the above types of memory. It is understood that computers, processors, microprocessor controllers, or programmable hardware include storage components capable of storing or receiving software or computer code, which, when accessed and executed by the computer, processor, or hardware, implements the methods shown in the above embodiments.

[0237] Although embodiments of the invention have been described in conjunction with the accompanying drawings, those skilled in the art can make various modifications and variations without departing from the spirit and scope of the invention, and such modifications and variations all fall within the scope defined by the appended claims.

Claims

1. A method for determining the operating parameters of the air-cooled unit's fan, characterized in that, The method includes: Collect the exhaust pressure of the main exhaust pipe and the condensate pressure of each condensate channel; Based on the exhaust pressure and the condensate pressure, the heat load of each steam distribution pipe is calculated. Using the pre-obtained experimental data, the functional relationship between ambient temperature, electric power and the optimal frequency of the fan is fitted to determine the first relationship function among the three. The experimental data consists of multiple sets of data for the optimal frequency of the fan under different electric power and different ambient temperatures. Based on the thermal balance characteristics of the steam turbine, the relationship between electrical power and thermal load is obtained by fitting, and the second relationship function between the two is determined. Based on the first relational function and the second relational function, the heat load deviation of each column of steam distribution pipe and the optimal operating frequency of each column of fans are calculated. The process of fitting a functional relationship between ambient temperature, electrical power, and the optimal frequency of the fan using pre-obtained experimental data includes: Experimental data were obtained on the optimal frequency of each fan unit under different electrical loads and ambient temperatures. An initial function is established based on the relationship between the electrical load, the electrical power, and the optimal frequency of the wind turbine, wherein the initial function uses the electrical load and the electrical power as variables and the optimal frequency of the wind turbine as the dependent variable; Substitute the experimental data into the initial function to calculate the coefficients of the initial function; Substituting the calculated coefficients into the initial function yields the first relational function; The formula for the second relational function is as follows: in, and It is a constant. For the heat load of the air-cooled unit, Electric power; The calculation of the heat load deviation of each column of steam distribution pipes and the optimal operating frequency of each column of fans based on the first relational function and the second relational function includes: Based on the heat load of each column of steam distribution pipes, calculate the average heat load and heat load deviation of each column of steam distribution pipes; Based on the first relational function and the second relational function, the average frequency of each column of fans is calculated; Based on the ambient temperature, the average heat load of each row of steam distribution pipes and the heat load deviation, the optimized frequency increment of each row of fans is calculated; Based on the optimized frequency increment, the optimal operating frequency of each column of fans is calculated; The formula for calculating the optimized frequency increment of each column of fans is as follows: in, This refers to the optimized frequency increment for each column of fans. The symbol is for partial differentials. The heat load deviation is... The average heat load of each column of steam distribution pipes, The ambient temperature is... , and All are constant coefficients; Among them, the i The optimal operating frequency for the blower is: Substitute into the equation sum equation The formula is as follows: in, For the first Steam resistance in the steam distribution pipe For the first Steam flow rate of the column, The exhaust flow rate of the main exhaust pipe. This represents the total number of columns in the steam distribution pipes. For the first The heat load of the steam distribution pipes in the column, For exhaust enthalpy, This refers to the enthalpy of condensation.

2. The method according to claim 1, characterized in that, The calculation of the heat load of each steam distribution pipe based on the exhaust pressure and condensate pressure includes: The pressure difference between the exhaust steam pressure and the condensate pressure is calculated to obtain the pressure difference of each steam distribution pipe. Based on the pressure difference of each column of steam distribution pipes, the steam flow rate of each column of steam distribution pipes is calculated; The heat load of each steam distribution pipe is calculated based on the steam flow rate of each column of steam distribution pipes.

3. The method according to claim 1, characterized in that, The method further includes: Determine whether the optimal operating frequency of the fan is greater than 55Hz; When the optimal operating frequency of the fan is greater than 55Hz, the optimal operating frequency of the fan is determined to be 55Hz.

4. A device for determining the operating parameters of a fan in an air-cooled unit, characterized in that, The device includes: The pressure acquisition module is used to acquire the exhaust pressure of the exhaust steam main and the condensate pressure of each condensate channel. The heat load calculation module is used to calculate the heat load of each column of steam distribution pipes based on the exhaust pressure and the condensate pressure. The first relationship function determination module is used to fit the functional relationship between ambient temperature, electric power and the optimal frequency of the fan using the pre-obtained experimental data, and determine the first relationship function between the three. The experimental data consists of multiple sets of data for the optimal frequency of the fan under different electric power and different ambient temperatures. The second relationship function determination module is used to fit the relationship between electric power and heat load based on the thermal balance characteristics of the steam turbine, and determine the second relationship function between the two. The optimal operating frequency calculation module is used to calculate the heat load deviation of each column of steam distribution pipes and the optimal operating frequency of each column of fans based on the first relational function and the second relational function. The first relation function determination module includes: The data acquisition unit is used to acquire experimental data on the optimal frequency of each fan under different electrical loads and ambient temperatures. An initial function establishment unit is used to establish an initial function based on the relationship between the electrical load, the electrical power, and the optimal frequency of the fan, wherein the initial function uses the electrical load and the electrical power as variables and the optimal frequency of the fan as a dependent variable; The coefficient calculation unit is used to substitute the experimental data into the initial function and calculate the coefficients of the initial function. The function substitution unit is used to substitute the calculated coefficients into the initial function to obtain the first relation function; The formula for the second relational function is as follows: in, and It is a constant. For the heat load of the air-cooled unit, Electric power; The optimal operating frequency calculation module includes: The heat load deviation calculation unit is used to calculate the average heat load and heat load deviation of each column of steam distribution pipes based on the heat load of each column of steam distribution pipes. The average frequency calculation unit is used to calculate the average frequency of each column of fans based on the first relational function and the second relational function; An optimized frequency increment calculation unit is used to calculate the optimized frequency increment of each column of fans based on the ambient temperature, the average heat load of each column of steam distribution pipes and the heat load deviation. The optimal operating frequency calculation unit is used to calculate the optimal operating frequency of each column of fans based on the optimized frequency increment; The formula for calculating the optimized frequency increment of each column of fans is as follows: in, This refers to the optimized frequency increment for each column of fans. The symbol is for partial differentials. The heat load deviation is... The average heat load of each column of steam distribution pipes, The ambient temperature is... , and All are constant coefficients; Among them, the i The optimal operating frequency for the blower is: Substitute into the equation sum equation The formula is as follows: in, For the first Steam resistance in the steam distribution pipe For the first Steam flow rate of the column, The exhaust flow rate of the main exhaust pipe. This represents the total number of columns in the steam distribution pipes. For the first The heat load of the steam distribution pipes in the column, For exhaust enthalpy, This refers to the enthalpy of condensation.

5. A computer device, characterized in that, include: The system includes a memory and a processor, which are interconnected. The memory stores computer instructions, and the processor executes the computer instructions to perform the method for determining the operating parameters of the air-cooled unit fan as described in any one of claims 1 to 3.

6. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions for causing the computer to execute the method for determining the operating parameters of the air-cooled unit fan as described in any one of claims 1 to 3.