A cooling station summer condition cooling side energy saving optimization control method and system

Abstract

The present invention discloses an energy-saving optimization control method and system for the cooling side of a cold station in summer, and belongs to the technical field of energy-saving in a central air-conditioning cold station. The method includes collecting real-time operating data of a chiller, a cooling pump and a cooling tower fan, and after data preprocessing, combining the average current percentage range of the chiller to compile an optimal basic operating condition corresponding table to generate basic operating condition parameters for the cooling pump and the cooling tower fan. According to the basic operating condition parameters and the frequency adjustment step, a plurality of optimal operating condition combinations are dynamically generated, and the equipment is adjusted to each operating condition combination in turn, and the energy consumption data is recorded to calculate the combination with the minimum total power as the optimal operating condition. The equipment operating parameters under the optimal operating condition are sent to the cooling pump and the cooling tower fan and applied, and the equipment parameters are dynamically adjusted to adapt to load changes. The present invention realizes the coordinated optimization and dynamic adjustment of the cooling pump and the cooling tower fan, reduces the total energy consumption of the cold station system, improves the operating efficiency, and enhances the system's adaptability to load changes.

Description

Technical Field

[0001] The present invention belongs to the technical field of energy conservation in large-scale central air-conditioning cooling stations, and in particular relates to an energy conservation optimization control method and system for a cooling side of a cooling station in summer conditions. Background Art

[0002] The cooling station system is an important part of the central air conditioning system. Through the coordinated operation of the chiller, cooling pump and cooling tower fan, heat exchange and energy transfer are completed to meet the cooling needs of the building. However, the current cooling station system still has the following outstanding problems in the operation optimization of the cooling side:

[0003] The operating parameters of existing cooling pumps and cooling tower fans are usually set based on fixed frequencies or manual experience, lacking dynamic adjustment capabilities, and unable to optimize the frequency and number of units according to real-time changes in the chiller load, resulting in high equipment energy consumption. In addition, the coordinated optimization of cooling pumps and cooling tower fans requires comprehensive consideration of multiple factors such as host load, equipment power consumption, and operating efficiency, but the existing technologies mostly use fixed value control or periodic adjustment methods, making it difficult to find the optimal solution for system energy consumption. At the same time, although the existing technology can collect operating data of cooling pumps, cooling tower fans, and hosts, these data are usually only used for status monitoring and are not fully used to guide the real-time optimization of operating parameters.

[0004] Therefore, the existing technology has significant deficiencies in operating parameter adjustment, optimization mechanism and data utilization. Especially under high-load conditions in summer, the energy consumption on the cooling side is high and the equipment operation efficiency is low, which cannot meet the requirements of energy conservation and emission reduction. In view of these problems, a control method and system that can dynamically optimize the operating parameters of the cooling pump and cooling tower fan is urgently needed to reduce the energy consumption of the cooling station and improve the operating efficiency. Summary of the invention

[0005] The purpose of the present invention is to provide an energy-saving optimization control method and system for the cooling side of a cold station in summer conditions. By real-time monitoring of the operating status of the chiller, cooling pump and cooling tower fan, combined with a dynamic optimization algorithm, the optimal operating parameters of the cooling pump and cooling tower fan are generated and applied, thereby significantly reducing the overall energy consumption of the cold station.

[0006] In order to achieve the above object, the present invention is implemented by the following technical solutions:

[0007] A cooling station summer operating condition cooling side energy saving optimization control method, comprising the following steps:

[0008] Step 1: Collect the group control point data of the cold station at the current minute, including the switch state feedback value, current percentage feedback value, power of the chiller, the switch state feedback value, frequency setting value, power of the cooling pump, and the switch state feedback value, frequency setting value, power of the cooling tower fan, and pre-configure the cooling pump frequency adjustment step length and cooling tower fan frequency adjustment step length parameters;

[0009] Step 2: Preprocess the group control point data, delete abnormal data, and perform interpolation and filling processing on missing data to obtain a complete operating data set;

[0010] Step 3: According to the average current percentage range of the chiller, a basic operating condition corresponding table is pre-compiled, wherein the basic operating condition corresponding table defines the number and frequency range of cooling pumps, and the number and frequency range of cooling tower fans;

[0011] Step 4: According to the average current percentage of the current host and in combination with the optimal basic operating condition corresponding table, determine the basic operating condition parameters of the cooling pump and the cooling tower fan, the basic operating condition parameters including the number and frequency setting values ​​of the cooling pumps, and the number and frequency setting values ​​of the cooling tower fans;

[0012] Step 5: Generate multiple optimal operating condition combinations according to the basic operating condition parameters and the pre-configured cooling pump frequency adjustment step and cooling tower fan frequency adjustment step, wherein the optimal operating condition combination includes cooling pump and cooling tower fan parameters with different numbers and frequency setting values;

[0013] Step 6: sequentially adjust the cooling pump and cooling tower fan to the number and frequency setting value of each optimal working condition combination, operate them according to a fixed cycle, and record the host power, cooling pump power and cooling tower fan power corresponding to each optimal working condition combination to obtain a power data set;

[0014] Step 7: According to the power data set, the sum of the host power, cooling pump power and cooling tower fan power of each optimal operating condition combination is calculated, and the minimum value of the total power is determined. The optimal operating condition combination corresponding to the minimum value is the optimal operating condition of the cooling side under the current host operating condition;

[0015] Step 8: Send the number of cooling pumps and frequency setting values ​​of the optimal working condition, as well as the number of cooling tower fans and frequency setting values ​​to the cooling pumps and cooling tower fans, and set them as the current operating state;

[0016] Step 9: Continuously monitor the average current percentage of the host. When it is detected that the average current percentage of the host within a continuous 1 hour is inconsistent with the previous 1 hour range, re-execute steps 4 to 8 to update the optimal working condition of the cooling side under the current host working condition.

[0017] As a preferred solution of the present invention, in step 1, the group control point data includes: the switch status feedback value of the chiller , the current percentage feedback value of the chiller , the power of the chiller , the cooling pump switch status feedback value , frequency setting value of cooling pump , the cooling tower fan switch status feedback value , and the power of the cooling tower fan , where n represents the device number, the switch state 1 represents on, and 0 represents off; the collected parameters include the cooling pump frequency optimization adjustment step PST and the cooling tower fan frequency optimization adjustment step TST.

[0018] As a preferred solution of the present invention, in step 3, the optimization basic working condition corresponding table includes the following contents:

[0019] There is a corresponding relationship between the host average current percentage and the number and frequency range of cooling pumps. The number of cooling pumps is the same as the number of hosts, and the cooling pump frequency range increases with the increase of the host average current percentage;

[0020] The number of cooling tower fans is calculated based on the average current percentage of the host, the number of hosts turned on and the number of cooling tower fans designed for a single host. The calculation formula is: number of hosts turned on × average current percentage of the host × 2 × number of cooling tower fans designed for a single host. The calculation result is an integer in units of units. The number of cooling tower fans is subject to both lower and upper limits. The lower limit is: number of hosts turned on × number of fans in a single tower, and the upper limit is: upper limit of the number of cooling tower fans turned on. The frequency of the cooling tower fan is a fixed value.

[0021] As a preferred solution of the present invention, in step 4, the average current percentage of the current host is calculated according to the following formula:

[0022] Host average current percentage ;

[0023] in, Indicates the host current percentage feedback value, Indicates the host switch status feedback value;

[0024] The number of cooling pumps to be optimized is calculated using the following formula:

[0025] ;

[0026] The cooling pump optimization basic setting frequency is calculated according to the following formula:

[0027] , the calculation result is an integer;

[0028] The number of cooling tower fans to be optimized is calculated according to the following formula:

[0029] , the calculation result is rounded off, and the following restrictions are met:

[0030] The lower limit is ;

[0031] The upper limit value is the upper limit of the number of cooling tower fans that can be turned on;

[0032] The cooling tower fan optimization basis setting frequency is a fixed value;

[0033] According to the range of the current host average current percentage, the optimal basic setting number of cooling pumps, the optimal basic setting frequency of cooling pumps, the optimal basic setting number of cooling tower fans and the optimal basic setting frequency of cooling tower fans are obtained.

[0034] In step 5, the basic setting number of cooling pumps and the basic setting number of cooling tower fans remain unchanged, and the optimal basic setting frequency of the cooling pump and the optimal basic setting frequency of the cooling tower fan are generated according to the following formula to generate the optimal working condition:

[0035] The cooling pump optimization basic setting frequency is generated according to the following formula:

[0036] ;

[0037] in, represents the optimal frequency of the cooling pump, Indicates the fundamental frequency of the cooling pump; The weight coefficient representing the adjustment range; Indicates the adjustment step of the cooling pump frequency;

[0038] The optimal basic setting frequency of the cooling tower fan is generated according to the following formula:

[0039] ;

[0040] in, Indicates the optimal frequency of the cooling tower fan, It indicates the adjustment step of the cooling tower fan frequency, and 43 is the basic frequency of the cooling tower fan;

[0041] The optimal working condition is generated by combining the basic set number of cooling pumps, the basic set number of cooling tower fans, the above-mentioned optimal basic set frequency of cooling pumps and the optimal basic set frequency of cooling tower fans, and a total of 25 optimal working condition combinations are generated.

[0042] As a preferred solution of the present invention, in step 6, the adjustment and recording process of the optimal working condition combination includes the following contents:

[0043] According to the generated optimal working condition combination, the optimization strategy is automatically issued to control the number and frequency of cooling pumps and cooling tower fans;

[0044] With a 20-minute adjustment cycle, adjust the cooling pump and cooling tower fan to each optimal working condition combination in turn, monitor the group control point data, and record the following parameters:

[0045] Total host power: ;

[0046] Total cooling pump power: ,in: Indicates the power of each cooling pump;

[0047] Total cooling tower fan power: in: Indicates the power of each cooling tower fan;

[0048] Number of cooling pumps turned on: ;

[0049] Number of cooling tower fans turned on: ;

[0050] Cooling pump frequency setting value: ;

[0051] Cooling tower fan frequency setting value: ;

[0052] Record and store all 25 groups of monitoring data for optimal working conditions, including the total power of the main engine:

[0053] ;

[0054] Total cooling pump power: ;

[0055] Total cooling tower fan power: ;

[0056] Number of cooling pumps turned on: ;

[0057] Number of cooling tower fans turned on: ;

[0058] Cooling pump frequency setting value: ;

[0059] Cooling tower fan frequency setting value: ;

[0060] Analyze the recorded data to find the total power of the host , Total cooling pump power and cooling tower fan power The minimum value of is used to determine the corresponding number of cooling pumps, number of cooling tower fans and frequency setting value as the optimal operating condition of the cooling side under the current host operating condition.

[0061] As a preferred solution of the present invention, in step 8, after the number of cooling pumps and frequency setting values ​​of the optimal working condition, as well as the number of cooling tower fans and frequency setting values ​​are sent to the cooling pumps and cooling tower fans, the following contents are specifically included: data collection is performed at intervals of one minute, and the average current percentage of the host is continuously calculated. When monitoring for 1 hour The host average current percentage range is different from the range 1 hour ago, and within 1 hour When the maximum change of does not exceed 5%, the loop enters step 4.

[0062] A cooling station summer operating condition cooling side energy-saving optimization control system, comprising:

[0063] A data acquisition module is used to collect real-time operation data of the chiller, cooling pump and cooling tower fan through a communication interface, wherein the data includes the switch state feedback value, current percentage feedback value and power of the host; the switch state feedback value, frequency setting value and power of the cooling pump; the switch state feedback value, frequency setting value and power of the cooling tower fan; and the collected data is stored in a data buffer area;

[0064] The data processing module is used to perform outlier detection and interpolation filling processing on the operating data in the data buffer area, delete the abnormal data that exceeds the preset operating parameter threshold range, and complete the missing data to generate a complete operating data set;

[0065] The basic operating condition generation module is used to generate the basic number and frequency range of the optimal setting, as well as the basic number and frequency range of the cooling tower fans according to the average current percentage range of the host in the operating data set and the preset optimal basic operating condition parameters;

[0066] An optimal working condition generation module is used to generate multiple groups of optimal working condition combinations according to the number and frequency range of cooling pumps and cooling tower fans generated by the basic working condition, wherein the optimal working condition combinations are generated by traversing all the numbers and frequency setting values ​​of cooling pumps and cooling tower fans;

[0067] The optimal operating condition calculation module is used to calculate the sum of the host power, cooling pump power and cooling tower fan power corresponding to each optimal operating condition combination one by one, and compare the power data to determine the optimal operating condition combination with the smallest total power as the optimal operating condition under the current host operating condition, wherein the optimal operating condition includes the number and frequency setting value of the cooling pumps, and the number and frequency setting value of the cooling tower fans;

[0068] A control module, used for receiving the number and frequency setting value of the cooling pump and cooling tower fan of the optimal working condition, and sending it to the cooling pump and cooling tower fan to adjust the operating state, and collecting and storing the adjusted operating state data;

[0069] The monitoring module is used to continuously monitor the real-time operating status of the host and calculate the change range of the host's average current percentage. When the host's average current percentage range within 1 hour is different from that 1 hour ago and the maximum fluctuation range does not exceed 5%, the basic operating condition generation module and the optimal operating condition generation module are triggered to update the optimal operating condition on the cooling side.

[0070] As a preferred solution of the present invention, the optimal operating condition calculation module is used to determine the optimal operating condition according to the following steps based on the host power, cooling pump power and cooling tower fan power of each optimal operating condition combination stored in the operation record module:

[0071] Compare the total power of all optimal operating condition combinations, exclude abnormal operating data, and determine the combination with the smallest total power;

[0072] Record the number of cooling pumps, cooling pump frequency setting values, cooling tower fan number and cooling tower fan frequency setting values ​​of the optimal working condition;

[0073] The optimal operating condition calculation module sends the operating parameters corresponding to the minimum total power value to the control module to update the current operating state.

[0074] Compared with the prior art, the beneficial effects of the present invention are as follows: the present invention realizes the optimal control of the operating parameters of the cooling side equipment by collecting, analyzing, processing and dynamically adjusting the operating data of the cooling pump, cooling tower fan and chiller. By collecting the key parameters such as the switch state feedback value, current percentage feedback value, power and frequency setting value of the equipment, the real-time operating state of the equipment is fully grasped, and a sufficient data basis is provided for the optimization adjustment. By configuring the frequency adjustment step of the cooling pump and cooling tower fan, the fineness and flexibility of the adjustment are realized. The collected data is abnormally eliminated and missing is filled, which ensures the integrity and reliability of the data and lays the foundation for the optimization calculation and the selection of the optimal working condition. By using the compiled basic working condition corresponding table for optimization, combined with the average current percentage range of the host, the number and frequency range of the cooling pump and cooling tower fan are reasonably defined, the optimization range is narrowed and the optimization efficiency is improved. By dynamically generating multiple working condition combinations and testing the energy consumption data of each combination, the total energy consumption is calculated and the working condition with the smallest total power is selected as the optimal working condition, and the reliability and accuracy of the optimization result are improved based on the measured data. The equipment parameters of the optimal working condition are sent to the equipment and the current status is applied, realizing the real-time application of the optimization results, reducing the total energy consumption on the cooling side, reducing energy waste, improving equipment coordination, and avoiding efficiency loss and equipment loss caused by high-load operation of a single device. By continuously monitoring the average current percentage of the host, triggering the recalculation of the optimal working condition when the load changes beyond the range, dynamically adjusting the equipment operating parameters, adapting to real-time load changes, so that the system always maintains an efficient operating state under different load conditions, further improving the energy-saving effect and intelligence level of the system, thereby significantly reducing the energy consumption of the cold station system, improving operating efficiency, and enhancing the system's ability to adapt to load changes, providing reliable technical support for energy saving and stable operation of the cold station. BRIEF DESCRIPTION OF THE DRAWINGS

[0075] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative labor. Among them:

[0076] Figure 1 is a flow chart of the method of the present invention;

[0077] Figure 2 It is a schematic diagram of the modular structure of the system of the present invention. DETAILED DESCRIPTION

[0078] In order to make the purpose, technical solution and advantages of the embodiment of the present invention clearer, the technical solution of the embodiment of the present invention will be clearly and completely described below in conjunction with the drawings of the embodiment of the present invention. Obviously, the described embodiment is a part of the embodiment of the present invention, not all of the embodiments. Based on the described embodiment of the present invention, all other embodiments obtained by ordinary technicians in this field belong to the scope of protection of the present invention.

[0079] like Figure 1 FIG. 1 is an embodiment of the present invention, which provides a cooling side energy-saving optimization control method for a cooling station in summer conditions, comprising the following steps:

[0080] A cooling station summer operating condition cooling side energy saving optimization control method, comprising the following steps:

[0081] Step 1: Collect the group control point data of the cold station at the current minute, including the switch state feedback value, current percentage feedback value, power of the chiller, the switch state feedback value, frequency setting value, power of the cooling pump, and the switch state feedback value, frequency setting value, power of the cooling tower fan, and pre-configure the cooling pump frequency adjustment step length and cooling tower fan frequency adjustment step length parameters;

[0082] Specifically, in step 1, taking a cold station in a project in Guangxi as an example, the current minute group control point data collected: the switch status feedback value of the chiller (0, 0, 1, 0), the current percentage feedback value of the chiller = (0, 0, 58.8, 0), the power of the chiller (0, 0, 569.5, 0), cooling pump switch status feedback value (0, 0, 1, 0), frequency setting value of cooling pump is (0, 0, 39, 0), the switch status feedback value of the cooling tower fan is (1, 1, 0, 0, 1, 1, 0, 0, 0, 0, 0), and the power of the cooling tower fan is (43, 43, 0, 0, 43, 43, 0, 0, 0, 0, 0, 0), where n represents the device number, the switch state 1 represents on, and 0 represents off; the configured parameters include: the cooling pump frequency optimization adjustment step PST is 1Hz; the cooling tower fan frequency optimization adjustment step TST is 2Hz.

[0083] Preferably, step 2: preprocess the group control point data, delete abnormal data, and perform interpolation filling processing on the missing data to obtain a complete operating data set; step 3: pre-compile an optimal basic operating condition corresponding table according to the average current percentage range of the chiller, wherein the basic operating condition corresponding table defines the number and frequency range of cooling pumps, and the number and frequency range of cooling tower fans;

[0084] Specifically, in step 3, the optimization basic working condition corresponding table includes the following contents:

[0085] There is a corresponding relationship between the host average current percentage and the number and frequency range of cooling pumps. The number of cooling pumps is the same as the number of hosts, and the cooling pump frequency range increases with the increase of the host average current percentage;

[0086] The number of cooling tower fans is calculated based on the average current percentage of the host, the number of hosts turned on and the number of cooling tower fans designed for a single host. The calculation formula is: number of hosts turned on × average current percentage of the host × 2 × number of cooling tower fans designed for a single host. The calculation result is an integer in units of units. The number of cooling tower fans is subject to both lower and upper limits. The lower limit is: number of hosts turned on × number of fans in a single tower, and the upper limit is: upper limit of the number of cooling tower fans turned on. The frequency of the cooling tower fan is a fixed value.

[0087] In this embodiment, in step 3, the corresponding table of the optimal basic working conditions is set as shown in Table 1 below:

[0088] Table 1 Optimization basic working condition correspondence table

[0089]

[0090] Preferably, step 4: according to the average current percentage of the current host and in combination with the optimal basic operating condition corresponding table, determine the basic operating condition parameters of the cooling pump and the cooling tower fan, the basic operating condition parameters including the number and frequency setting values ​​of the cooling pumps, and the number and frequency setting values ​​of the cooling tower fans;

[0091] Specifically, in step 4, the current average current percentage of the host is calculated according to the following formula:

[0092] Host average current percentage ;

[0093] in, Indicates the host current percentage feedback value, Indicates the host switch status feedback value;

[0094] The number of cooling pumps to be optimized is calculated using the following formula:

[0095] ;

[0096] The cooling pump optimization basic setting frequency is calculated according to the following formula:

[0097] , the calculation result is an integer;

[0098] The number of cooling tower fans to be optimized is calculated according to the following formula:

[0099] , the calculation result is rounded off, and the following restrictions are met:

[0100] The lower limit is ;

[0101] The upper limit value is the upper limit of the number of cooling tower fans that can be turned on;

[0102] The cooling tower fan optimization basis setting frequency is a fixed value;

[0103] According to the range of the current host average current percentage, the optimal basic setting number of cooling pumps, the optimal basic setting frequency of cooling pumps, the optimal basic setting number of cooling tower fans and the optimal basic setting frequency of cooling tower fans are obtained.

[0104] In this embodiment, the current average host current percentage is:

[0105] ;

[0106] According to 58.8% corresponding to the first column of Table 1 "Current host average current percentage range (%)", the following parameters are obtained in the corresponding row: The basic setting number of cooling pumps for optimization is:

[0107] The basic setting frequency of cooling pump optimization is:

[0108] ;

[0109] The number of cooling tower fans to be optimized is:

[0110]

[0111] (The number of cooling tower fans designed for a single host in the current instance is 3), and the lower limit is

[0112]

[0113] The upper limit is the upper limit of the number of cooling tower fans that can be turned on (16 in the current example). 4 is between the upper and lower limits, so the optimal basic setting number of cooling tower fans is 4; the optimal basic setting frequency of cooling tower fans is: 43Hz.

[0114] Preferably, step 5: generating a plurality of optimal operating condition combinations according to the basic operating condition parameters and the pre-configured cooling pump frequency adjustment step and cooling tower fan frequency adjustment step, wherein the optimal operating condition combination includes cooling pump and cooling tower fan parameters with different numbers and frequency setting values;

[0115] Specifically, in step 5, the basic setting number of cooling pumps and the basic setting number of cooling tower fans remain unchanged, and the optimal basic setting frequency of the cooling pump and the optimal basic setting frequency of the cooling tower fan are generated according to the following formula to generate the optimal working condition:

[0116] The cooling pump optimization basic setting frequency is generated according to the following formula:

[0117] ;

[0118] in, represents the optimal frequency of the cooling pump, Indicates the fundamental frequency of the cooling pump; The weight coefficient representing the adjustment range; Indicates the adjustment step of the cooling pump frequency;

[0119] The optimal basic setting frequency of the cooling tower fan is generated according to the following formula:

[0120]

[0121] in, Indicates the optimal frequency of the cooling tower fan, It indicates the adjustment step of the cooling tower fan frequency, and 43 is the basic frequency of the cooling tower fan;

[0122] The optimal working condition is generated by combining the basic set number of cooling pumps, the basic set number of cooling tower fans, the above-mentioned optimal basic set frequency of cooling pumps and the optimal basic set frequency of cooling tower fans, and a total of 25 optimal working condition combinations are generated.

[0123] In this embodiment, according to the number of cooling pumps and the frequency of cooling pumps, the configuration step size is set according to the number of cooling pumps and the frequency of cooling pumps. , respectively increase or decrease the cooling pump frequency , the optimal working conditions for the cooling pump are: the number of units is 1, and the frequency is:

[0124] ; According to the optimal number of cooling tower fans, the optimal frequency of cooling tower fans, according to the configuration step , respectively increase or decrease the cooling tower fan frequency , the optimal conditions for cooling towers are: the number of units is 4, and the frequency is: ; Comprehensive cooling pump optimization conditions and cooling tower optimization conditions, that is, the optimal combination conditions can be obtained, the number of units is 1 cooling pump and 4 cooling tower fans, and the frequency is shown in Table 2 below:

[0125] Table 2 Frequency optimization working condition combination

[0126]

[0127] In summary, a total of 25 groups of optimal working condition combinations are obtained.

[0128] Preferably, step 6: sequentially adjusting the cooling pump and cooling tower fan to the number and frequency setting value of each optimal working condition combination, operating them according to a fixed cycle, and recording the host power, cooling pump power and cooling tower fan power corresponding to each optimal working condition combination to obtain a power data set;

[0129] Specifically, in step 6, the process of adjusting and recording the optimal working condition combination includes the following contents:

[0130] According to the generated optimal working condition combination, the optimization strategy is automatically issued to control the number and frequency of cooling pumps and cooling tower fans;

[0131] With a 20-minute adjustment cycle, adjust the cooling pump and cooling tower fan to each optimal working condition combination in turn, monitor the group control point data, and record the following parameters:

[0132] Total host power: ;

[0133] Total cooling pump power: ,in: Indicates the power of each cooling pump;

[0134] Total cooling tower fan power: ,in: Indicates the power of each cooling tower fan;

[0135] Number of cooling pumps turned on: ;

[0136] Number of cooling tower fans turned on: ;

[0137] Cooling pump frequency setting value: ;

[0138] Cooling tower fan frequency setting value: ;

[0139] Record and store all 25 groups of monitoring data for optimal working conditions, including the total power of the main engine:

[0140] ;

[0141] Total cooling pump power: ;

[0142] Total cooling tower fan power: ;

[0143] Number of cooling pumps turned on: ;

[0144] Number of cooling tower fans turned on: ;

[0145] Cooling pump frequency setting value: ;

[0146] Cooling tower fan frequency setting value: ;

[0147] Analyze the recorded data to find the total power of the host , Total cooling pump power and cooling tower fan power The minimum value of determines the corresponding number of cooling pumps, number of cooling tower fans and frequency setting value as the optimal working condition of the cooling side under the current host working condition. In this example, for , the corresponding cooling pump number and frequency is 1 38Hz b , the number and frequency of cooling tower fans are 4 and 43Hz, which is the optimal operating condition of the cooling side under the main engine operating condition.

[0148] Preferably, step 7: according to the power data set, the sum of the host power, cooling pump power and cooling tower fan power of each optimal working condition combination is calculated, and the minimum value of the power sum is determined, and the optimal working condition combination corresponding to the minimum value is the optimal working condition of the cooling side under the current host working condition, and the optimal working condition includes the number and frequency setting value of the cooling pump, and the number and frequency setting value of the cooling tower fan;

[0149] Step 8: Send the number of cooling pumps and frequency setting values ​​of the optimal working condition, as well as the number of cooling tower fans and frequency setting values ​​to the cooling pumps and cooling tower fans, and set them as the current operating state;

[0150] Step 9: Continuously monitor the average current percentage of the host. When it is detected that the average current percentage of the host within a continuous 1 hour is inconsistent with the previous 1 hour range, re-execute steps 4 to 8 to update the optimal working condition of the cooling side under the current host working condition.

[0151] Specifically, in step 8, after the optimal number of cooling pumps, frequency setting values, and number of cooling tower fans and frequency setting values ​​are sent to the cooling pumps and cooling tower fans, the following contents are specifically included: data collection is performed at intervals of one minute, and the average current percentage of the host is continuously calculated. When monitoring for 1 hour The range of "Host Average Current Percentage Range (%)" in the first column of Table 1 is different from the range one hour ago, and within one hour When the maximum change of does not exceed 5%, the loop enters step 4.

[0152] In summary, through real-time monitoring and timely optimization, the cooling side equipment of the cold station can maintain the best operating state under different load demands, reduce resource waste and achieve energy-saving goals.

[0153] Example 2

[0154] like Figure 2 FIG. 1 is another embodiment of the present invention, which provides a cooling side energy-saving optimization control system for a cooling station in summer conditions, including:

[0155] A data acquisition module is used to collect real-time operation data of the chiller, cooling pump and cooling tower fan through a communication interface, wherein the data includes the switch state feedback value, current percentage feedback value and power of the host; the switch state feedback value, frequency setting value and power of the cooling pump; the switch state feedback value, frequency setting value and power of the cooling tower fan; and the collected data is stored in a data buffer area;

[0156] The data processing module is used to perform outlier detection and interpolation filling processing on the operating data in the data buffer area, delete the abnormal data that exceeds the preset operating parameter threshold range, and complete the missing data to generate a complete operating data set;

[0157] The basic operating condition generation module is used to generate the basic number and frequency range of the optimal setting, as well as the basic number and frequency range of the cooling tower fans according to the average current percentage range of the host in the operating data set and the preset optimal basic operating condition parameters;

[0158] An optimal working condition generation module is used to generate multiple groups of optimal working condition combinations according to the number and frequency range of cooling pumps and cooling tower fans generated by the basic working condition, wherein the optimal working condition combinations are generated by traversing all the numbers and frequency setting values ​​of cooling pumps and cooling tower fans;

[0159] The optimal operating condition calculation module is used to calculate the sum of the host power, cooling pump power and cooling tower fan power corresponding to each optimal operating condition combination one by one, and compare the power data to determine the optimal operating condition combination with the smallest total power as the optimal operating condition under the current host operating condition, wherein the optimal operating condition includes the number and frequency setting value of the cooling pumps, and the number and frequency setting value of the cooling tower fans;

[0160] A control module, used for receiving the number and frequency setting value of the cooling pump and cooling tower fan of the optimal working condition, and sending it to the cooling pump and cooling tower fan to adjust the operating state, and collecting and storing the adjusted operating state data;

[0161] The monitoring module is used to continuously monitor the real-time operating status of the host and calculate the change range of the host's average current percentage. When the host's average current percentage range within 1 hour is different from that 1 hour ago and the maximum fluctuation range does not exceed 5%, the basic operating condition generation module and the optimal operating condition generation module are triggered to update the optimal operating condition on the cooling side.

[0162] Preferably, the optimal operating condition calculation module is used to determine the optimal operating condition according to the following steps based on the host power, cooling pump power and cooling tower fan power of each optimal operating condition combination stored in the operation record module:

[0163] Compare the total power of all optimal operating condition combinations, exclude abnormal operating data, and determine the combination with the smallest total power;

[0164] Record the number of cooling pumps, cooling pump frequency setting values, cooling tower fan number and cooling tower fan frequency setting values ​​of the optimal working condition;

[0165] The optimal operating condition calculation module sends the operating parameters corresponding to the minimum total power value to the control module to update the current operating state.

[0166] In summary, the present invention constructs a cooling-side energy-saving optimization control method and system for the summer working condition of a cold station, fully utilizes the real-time operating data of the chiller, cooling pump and cooling tower fan, and realizes intelligent dynamic adjustment of equipment operating parameters under different load conditions through data acquisition, preprocessing, dynamic optimization algorithm and parameter optimization strategy. This method effectively solves the problems of high energy consumption, low operating efficiency, poor equipment coordination and difficulty in adapting to load changes in the prior art, significantly reduces the overall energy consumption of the cold station system, improves the equipment operating efficiency and service life, and enhances the adaptability and stability of the system. The technical solution of the present invention is scientific and reasonable, easy to operate, has strong practicality and promotion value, can be widely used in central air-conditioning cold station systems and similar cooling-side energy-saving optimization scenarios, and provides strong support for energy conservation, emission reduction and green sustainable development.

[0167] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine different embodiments or examples described in this specification and the features of different embodiments or examples, unless they are contradictory.

[0168] Any process or method description in the flow chart or otherwise described herein can be understood to represent a module, fragment or portion of a code including one or more executable instructions for implementing the steps of a specific logical function or process. And the scope of the preferred embodiment of the present application includes other implementations, in which the functions may not be performed in the order shown or discussed, including in a substantially simultaneous manner or in a reverse order according to the functions involved.

[0169] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of various changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A cooling station summer condition cooling side energy saving optimization control method, characterized in that: The following steps are involved: Step 1: Collect the group control point data of the cold station at the current minute, including the switch state feedback value, current percentage feedback value, power of the chiller, the switch state feedback value, frequency setting value, power of the cooling pump, and the switch state feedback value, frequency setting value, power of the cooling tower fan, and pre-configure the cooling pump frequency adjustment step length and cooling tower fan frequency adjustment step length parameters; Step 2: Preprocess the group control point data, delete abnormal data, and perform interpolation and filling processing on missing data to obtain a complete operating data set; Step 3: According to the average current percentage range of the chiller, a basic operating condition corresponding table is pre-compiled, wherein the basic operating condition corresponding table defines the number and frequency range of cooling pumps, and the number and frequency range of cooling tower fans; Step 4: According to the average current percentage of the current host and in combination with the optimal basic operating condition corresponding table, determine the basic operating condition parameters of the cooling pump and the cooling tower fan, the basic operating condition parameters including the number and frequency setting values ​​of the cooling pumps, and the number and frequency setting values ​​of the cooling tower fans; Step 5: Generate multiple optimal operating condition combinations according to the basic operating condition parameters and the pre-configured cooling pump frequency adjustment step and cooling tower fan frequency adjustment step, wherein the optimal operating condition combination includes cooling pump and cooling tower fan parameters with different numbers and frequency setting values; Step 6: sequentially adjust the cooling pump and cooling tower fan to the number and frequency setting value of each optimal working condition combination, operate them according to a fixed cycle, and record the host power, cooling pump power and cooling tower fan power corresponding to each optimal working condition combination to obtain a power data set; Step 7: According to the power data set, the sum of the host power, cooling pump power and cooling tower fan power of each optimal operating condition combination is calculated, and the minimum value of the total power is determined. The optimal operating condition combination corresponding to the minimum value is the optimal operating condition of the cooling side under the current host operating condition; Step 8: Send the number of cooling pumps and frequency setting values ​​of the optimal working condition, as well as the number of cooling tower fans and frequency setting values ​​to the cooling pumps and cooling tower fans, and set them as the current operating state; Step 9: Continuously monitor the average current percentage of the host. When it is detected that the average current percentage of the host within a continuous 1 hour is inconsistent with the previous 1 hour range, re-execute steps 4 to 8 to update the optimal working condition of the cooling side under the current host working condition.

2. The cooling side energy-saving optimization control method for a cooling station in summer according to claim 1 is characterized in that: In step 1, the group control point data includes: the switch status feedback value of the chiller , the current percentage feedback value of the chiller , the power of the chiller , the cooling pump switch status feedback value , frequency setting value of cooling pump , the cooling tower fan switch status feedback value , and the power of the cooling tower fan , where n represents the device number, the switch state 1 represents on, and 0 represents off; the collected parameters include the cooling pump frequency optimization adjustment step PST and the cooling tower fan frequency optimization adjustment step TST.

3. The cooling side energy-saving optimization control method for a cooling station in summer according to claim 1 is characterized in that: In step 3, the optimization basic working condition corresponding table includes the following contents: There is a corresponding relationship between the host average current percentage and the number of cooling pumps and the frequency range. The number of cooling pumps is the same as the number of hosts. The upper and lower limits of the cooling pump frequency increase with the increase of the host average current percentage. The number of cooling tower fans is calculated based on the average current percentage of the host, the number of hosts turned on and the number of cooling tower fans designed for a single host. The calculation formula is: number of hosts turned on × average current percentage of the host × 2 × number of cooling tower fans designed for a single host. The calculation result is an integer in units of units. The number of cooling tower fans is subject to both lower and upper limits. The lower limit is: number of hosts turned on × number of fans in a single cooling tower, and the upper limit is: upper limit of the number of cooling tower fans turned on. The frequency of the cooling tower fan is a fixed value.

4. The cooling side energy-saving optimization control method for a cooling station in summer according to claim 1 is characterized in that: In step 4, the current average current percentage of the host is calculated according to the following formula: Host average current percentage ; in, Indicates the host current percentage feedback value, Indicates the host switch status feedback value; The number of cooling pumps to be optimized is calculated using the following formula: ； The cooling pump optimization basic setting frequency is calculated according to the following formula: , the calculation result is an integer; The number of cooling tower fans to be optimized is calculated according to the following formula: , the calculation result is rounded off, and the following restrictions are met: The lower limit is ; The upper limit value is the upper limit of the number of cooling tower fans that can be turned on; The cooling tower fan optimization basis setting frequency is a fixed value; According to the range of the current host average current percentage, the optimal basic setting number of cooling pumps, the optimal basic setting frequency of cooling pumps, the optimal basic setting number of cooling tower fans and the optimal basic setting frequency of cooling tower fans are obtained.

5. The cooling side energy-saving optimization control method for a cooling station in summer according to claim 1 is characterized in that: In step 5, the basic setting number of cooling pumps and the basic setting number of cooling tower fans remain unchanged, and the optimal basic setting frequency of the cooling pump and the optimal basic setting frequency of the cooling tower fan are generated according to the following formula to generate the optimal working condition: The cooling pump optimization basic setting frequency is generated according to the following formula: ； in, represents the optimal frequency of the cooling pump, Indicates the fundamental frequency of the cooling pump; The weight coefficient representing the adjustment range; Indicates the adjustment step of the cooling pump frequency; The optimal basic setting frequency of the cooling tower fan is generated according to the following formula: ； in, Indicates the optimal frequency of the cooling tower fan, It indicates the adjustment step of the cooling tower fan frequency, and 43 is the basic frequency of the cooling tower fan; The optimal working condition is generated by combining the basic set number of cooling pumps, the basic set number of cooling tower fans, the above-mentioned optimal basic set frequency of cooling pumps and the optimal basic set frequency of cooling tower fans, and a total of 25 optimal working condition combinations are generated.

6. The cooling side energy-saving optimization control method for a cooling station in summer according to claim 1 is characterized in that: In step 6, the process of adjusting and recording the optimal working condition combination includes the following contents: According to the generated optimal working condition combination, the optimization strategy is automatically issued to control the number and frequency of cooling pumps and cooling tower fans; With a 20-minute adjustment cycle, adjust the cooling pump and cooling tower fan to each optimal working condition combination in turn, monitor the group control point data, and record the following parameters: Total host power: ; Total cooling pump power: ,in: Indicates the power of each cooling pump; Total cooling tower fan power: ,in: Indicates the power of each cooling tower fan; Number of cooling pumps turned on: ; Number of cooling tower fans turned on: ; Cooling pump frequency setting value: ; Cooling tower fan frequency setting value: ; Record and store all 25 groups of monitoring data for optimal working conditions, including the total power of the main engine: ； Total cooling pump power: ; Total cooling tower fan power: ; Number of cooling pumps turned on: ; Number of cooling tower fans turned on: ; Cooling pump frequency setting value: ; Cooling tower fan frequency setting value: ; Analyze the recorded data to find the total power of the host , Total cooling pump power and cooling tower fan power The minimum value of is used to determine the corresponding number of cooling pumps, number of cooling tower fans and frequency setting value as the optimal operating condition of the cooling side under the current host operating condition.

7. The method for optimizing cooling side energy saving in a cooling station in summer according to claim 1, characterized in that: In step 8, after the number of cooling pumps and frequency setting values ​​of the optimal working condition, as well as the number of cooling tower fans and frequency setting values ​​are sent to the cooling pumps and cooling tower fans, the following contents are specifically included: Data is collected every minute and the average current percentage of the host is continuously calculated. When monitoring for 1 hour The host average current percentage range is different from the range 1 hour ago, and within 1 hour When the maximum change of does not exceed 5%, the loop enters step 4.

8. An energy-saving optimization control system for the cooling side of a cooling station in summer, characterized in that: include: A data acquisition module is used to collect real-time operation data of the chiller, cooling pump and cooling tower fan through a communication interface, wherein the data includes the switch state feedback value, current percentage feedback value and power of the host; the switch state feedback value, frequency setting value and power of the cooling pump; the switch state feedback value, frequency setting value and power of the cooling tower fan; and the collected data is stored in a data buffer area; The data processing module is used to perform outlier detection and interpolation filling processing on the operating data in the data buffer area, delete the abnormal data that exceeds the preset operating parameter threshold range, and complete the missing data to generate a complete operating data set; The basic operating condition generation module is used to generate the basic number and frequency range of the optimal setting, as well as the basic number and frequency range of the cooling tower fans according to the average current percentage range of the host in the operating data set and the preset optimal basic operating condition parameters; An optimal working condition generation module is used to generate multiple groups of optimal working condition combinations according to the number and frequency range of cooling pumps and cooling tower fans generated by the basic working condition, wherein the optimal working condition combinations are generated by traversing all the numbers and frequency setting values ​​of cooling pumps and cooling tower fans; The optimal operating condition calculation module is used to calculate the sum of the host power, cooling pump power and cooling tower fan power corresponding to each optimal operating condition combination one by one, and compare the power data to determine the optimal operating condition combination with the smallest total power as the optimal operating condition under the current host operating condition, wherein the optimal operating condition includes the number and frequency setting value of the cooling pumps, and the number and frequency setting value of the cooling tower fans; A control module, used for receiving the number and frequency setting value of the cooling pump and cooling tower fan of the optimal working condition, and sending it to the cooling pump and cooling tower fan to adjust the operating state, and collecting and storing the adjusted operating state data; The monitoring module is used to continuously monitor the real-time operating status of the host and calculate the change range of the host's average current percentage. When the host's average current percentage range within 1 hour is different from that 1 hour ago and the maximum fluctuation range does not exceed 5%, the basic operating condition generation module and the optimal operating condition generation module are triggered to update the optimal operating condition on the cooling side.

9. The cooling side energy-saving optimization control system for a cooling station in summer according to claim 8, characterized in that: The optimal operating condition calculation module is used to determine the optimal operating condition according to the following steps based on the host power, cooling pump power and cooling tower fan power of each optimal operating condition combination stored in the operation record module: Compare the total power of all optimal operating condition combinations, exclude abnormal operating data, and determine the combination with the smallest total power; Record the number of cooling pumps, cooling pump frequency setting values, cooling tower fan number and cooling tower fan frequency setting values ​​of the optimal working condition; The optimal operating condition calculation module sends the operating parameters corresponding to the minimum total power value to the control module to update the current operating state.

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