Cooling system test method, device and equipment and storage medium

Abstract

The invention provides a cooling system testing method and device, equipment and a storage medium. Relates to the technical field of refrigeration and is used for performing simulation analysis on a cooling system on the premise of ensuring the safety of a data center so as to optimize and adjust the cooling system. The method comprises the steps of determining a test working condition and a test index of a cooling system of the data center; the test condition is used for reflecting the operation condition of the data center; operating a model of a cooling system of the data center based on a simulation tool, simulating a cooling effect under a test working condition, and monitoring a change condition of a test index in real time in a simulation process; the model of the cooling system of the data center is constructed based on the operation parameters of each cooling assembly of the cooling system; and analyzing the operation condition of the cooling model of the data center based on the cooling effect under the test working condition and the change condition of the test index.

Description

Technical Field

[0001] The present application relates to the field of refrigeration technology, and in particular to a testing method, device, equipment and storage medium for a cooling system. Background Art

[0002] With the rapid development of data centers, the requirements for construction cycle and energy-saving performance are increasing. In large data centers, there are a large number of server cabinets, which will generate a lot of heat during long-term operation. In order to ensure stable operation of the equipment, the server cabinets must be effectively cooled.

[0003] However, data centers have extremely strict safety requirements. Any failure or improper adjustment of the cooling system may cause equipment overheating, shutdown, or even data loss. In this context, there are certain risks in directly optimizing and controlling the existing cooling system on site, especially in the optimization process of the air-liquid cooling system, where various parameters need to be monitored in real time. Any operational errors or improper adjustments may endanger the stability and safety of the system.

[0004] Therefore, how to optimize and adjust the cooling system while ensuring the safety of the data center has become a technical problem that needs to be solved urgently. Summary of the invention

[0005] The present application provides a cooling system testing method, device, equipment and storage medium, which are used to perform simulation analysis on the cooling system under the premise of ensuring the safety of the data center, so as to optimize and adjust the cooling system.

[0006] In a first aspect, the present application provides a testing method for a cooling system, wherein the cooling system is an air-cooled and liquid-cooled homologous cooling system, and the method comprises: determining the test conditions and test indicators of the cooling system of the data center; the test conditions are used to reflect the operation status of the data center; running a model of the cooling system of the data center based on a simulation tool, simulating the cooling effect under the test conditions, and monitoring the changes in the test indicators in real time during the simulation process; the model of the cooling system of the data center is constructed based on the operating parameters of each cooling component of the cooling system; and analyzing the operation status of the cooling model of the data center based on the cooling effect under the test conditions and the changes in the test indicators.

[0007] The technical solution provided by this application brings at least the following beneficial effects: by simulating the cooling effects of air-cooled and liquid-cooled homologous cooling systems under various test conditions through simulation tools, and combining the changes in test indicators, the operation of the cooling system in the data center can be fully understood. Compared with the possible safety risks caused by directly adjusting the operating parameters of the cooling system, this simulation analysis-based approach does not affect the safety of the data center, and can accurately simulate the cooling effect of the cooling system under different test conditions, thereby providing data support for the subsequent adjustment of the cooling strategy, and then the operating parameters of the cooling system can be optimized and adjusted.

[0008] In a possible implementation, the model of the cooling system of the data center includes an energy consumption model for reflecting the energy consumption of the cooling system, and the test index includes an energy consumption index.

[0009] In a possible implementation, the energy consumption model includes at least one of the following:

[0010] The energy consumption model of the cooling tower, the energy consumption model of the cooling pump, the energy consumption model of the air-cooled cooling system, and the energy consumption and heat exchange model of the cooling distribution unit; the energy consumption and heat exchange model of the cooling distribution unit includes the energy consumption model of the water pump in the cooling distribution unit and the heat exchange model of the heat exchanger in the cooling distribution unit; the heat exchange model of the heat exchanger is used to reflect the heat exchange capacity of the heat exchanger.

[0011] In one possible implementation, the energy consumption model is a model that is optimized based on the roughness model of the coolant circulation pipeline; the roughness model of the coolant circulation pipeline is used to reflect the flow resistance of the coolant circulation pipeline; the roughness model is used to minimize the deviation between the actual parameter value and the expected parameter value in the coolant circulation pipeline.

[0012] In a possible implementation, the roughness model of the coolant circulation pipeline is constructed based on the objective function and the constraint conditions; the objective function is used to characterize the deviation between the actual parameter value and the expected parameter value in the coolant circulation pipeline, and the constraint conditions are used to constrain the flow resistance of the coolant circulation pipeline to be within the rated resistance range. In a possible implementation, the energy consumption model of the cooling tower is constructed based on the mechanism model of the cooling tower and the power model of the cooling tower; the power model of the cooling tower is used to reflect the relationship between the frequency of the fan in the cooling tower, the air mass flow in the cooling tower, and the power of the cooling tower; the energy consumption model of the cooling pump is constructed based on the mechanism model of the cooling pump and the power model of the cooling pump; the power model of the cooling pump is used to reflect the relationship between the frequency of the cooling pump, the cooling water flow of the cooling pump, and the power of the cooling pump.

[0013] In a possible implementation, the test index includes any one of the following: an energy consumption index, an energy efficiency index, a cooling efficiency index, a heat load handling capacity index, and a flow index.

[0014] In a second aspect, the present application provides a testing device for a cooling system, which is an air-cooled and liquid-cooled homologous cooling system, and the device includes: a determination unit, used to determine the test conditions and test indicators of the cooling system of the data center; the test conditions are used to reflect the operation of the data center; a testing unit, used to run a model of the cooling system of the data center based on a simulation tool, simulate the cooling effect under the test conditions, and monitor the changes in the test indicators in real time during the simulation; the model of the cooling system of the data center is constructed based on the parameters of each cooling component of the cooling system; a processing unit, used to analyze the operation of the cooling model of the data center based on the cooling effect under the test conditions and the changes in the test indicators.

[0015] In a third aspect, the present application provides an electronic device, comprising: a processor and a memory for storing instructions executable by the processor; wherein the processor is configured to execute a control method for an electrically adjustable antenna as in the first aspect and any possible implementation thereof.

[0016] In a fourth aspect, the present application provides a computer program product. When the computer program product is run on a computer, the computer executes the steps of the relevant method described in the first aspect above, so as to implement the control method of the electrically adjustable antenna described in the first aspect above and any possible implementation method thereof.

[0017] In a fifth aspect, the present application provides a computer-readable storage medium. When the instructions in the computer-readable storage medium are executed by a processor of a server, the electronic device implements the control method of the electrically-adjustable antenna described in the first aspect and any possible implementation method thereof.

[0018] The beneficial effects of the second to fifth aspects mentioned above can be referred to the first aspect and will not be elaborated on again. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0020] Figure 1 A schematic diagram of an application scenario provided for an embodiment of the present application;

[0021] Figure 2 A schematic diagram of the structure of a cooling system provided in an embodiment of the present application;

[0022] Figure 3A flow chart of a cooling system testing method provided in an embodiment of the present application;

[0023] Figure 4 A schematic diagram of the internal correlation relationship of an energy consumption model of a cooling system provided in an embodiment of the present application;

[0024] Figure 5 A flow chart of another cooling system testing method provided in an embodiment of the present application;

[0025] Figure 6 A pressure-enthalpy diagram of an air cooling system provided in an embodiment of the present application;

[0026] Figure 7 A schematic diagram of the hardware structure of a cooling system testing device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0027] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0028] It should be noted that, in the embodiments of the present application, words such as "exemplarily" or "for example" are used to indicate examples, illustrations or descriptions. Any embodiment or design described as "exemplarily" or "for example" in the embodiments of the present application should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "exemplarily" or "for example" is intended to present related concepts in a specific way.

[0029] In order to facilitate the clear description of the technical solutions of the embodiments of the present application, in the embodiments of the present application, the words "first", "second", etc. are used to distinguish the same items or similar items with basically the same functions and effects. Those skilled in the art can understand that the words "first", "second", etc. are not limiting the quantity and execution order.

[0030] In order to simulate and analyze the cooling system under the premise of ensuring the safety of the data center, so as to optimize and adjust the cooling system, the present application provides a cooling system testing method, which can simulate the cooling effect of air-cooled and liquid-cooled homologous cooling systems under various test conditions through simulation tools, and combined with the changes in test indicators, the operation of the cooling system of the data center can be fully understood. Compared with the safety risks that may be caused by directly adjusting the operating parameters of the cooling system, this simulation analysis-based method can accurately simulate the cooling effect of the cooling system under different test conditions, thereby providing data support for the subsequent adjustment of the cooling strategy, and then the operating parameters of the cooling system can be optimized and adjusted.

[0031] Figure 1 This is a schematic diagram of an application scenario provided by the present application according to an exemplary embodiment. Figure 1 As shown, the application scenario includes a data center 101 and a cooling system 102 .

[0032] In some embodiments, the data center 101 is arranged in a computer room and includes cabinets arranged in rows and parallel to each other. The cabinets may include multiple processing chips and other hardware devices to realize centralized processing, storage, transmission, exchange and management of data information.

[0033] In some embodiments, the cooling system 102 absorbs and removes the heat generated by the data center 101 during operation by circulating a cooling medium (such as air, water, etc.), thereby reducing the temperature of the data center 101.

[0034] The cooling system 102 includes a liquid cooling system, an air cooling system and a cooling capacity distribution unit, that is, the cooling system 102 is an air cooling and liquid cooling homogenous cooling system.

[0035] The liquid cooling system absorbs and removes the heat generated by the equipment in the cabinet in the data center 101 by using a coolant (such as water or a special coolant). The liquid cooling system is usually used to handle high-density heat loads and can achieve more efficient heat transfer, and is particularly suitable for handling high-performance servers or computing equipment. The advantages of the liquid cooling system are its efficient heat dissipation capacity and low energy consumption, especially in high heat load environments. Therefore, the liquid cooling system can accurately cool key components such as CPUs and memory.

[0036] The air cooling system uses air flow to remove heat. The air is blown to the surface of the equipment by a fan or blower, and then the heat is removed from the equipment through heat exchange. Compared with the liquid cooling system, the air cooling system is simpler and less expensive, and is widely used in environments with low to medium heat loads. The advantages of the air cooling system are simple structure, easy maintenance and low cost. Therefore, the liquid cooling system can cool other components besides the above-mentioned key components.

[0037] The cooling capacity distribution unit is responsible for the reasonable allocation of cooling resources in the liquid cooling system and the air cooling system to ensure that the system can adjust the cooling capacity according to demand. In the air cooling and liquid cooling homogeneous cooling system, the cooling capacity distribution unit plays a coordinating role, dynamically adjusting the usage ratio of the two cooling methods according to different workloads and environmental conditions to achieve the best cooling effect and energy efficiency.

[0038] Figure 2 FIG. 1 is a schematic diagram of a cooling system provided by the present application according to an exemplary embodiment. Figure 2 As shown, the cooling system includes a cooling tower 201, a cooling pump 202, a primary side heat exchanger 203, and a liquid cooling terminal 204 ( Figure 2 ), a cooling distribution unit 205 and an air-cooled terminal 206.

[0039] Among them, the cooling tower 201, the cooling pump 202, and the primary side heat exchanger 203 can constitute a primary side circulation loop. The liquid cooling terminal 204, the cooling capacity distribution unit 205, and the air cooling terminal 206 can constitute a secondary side circulation loop. The secondary side circulation loop is used to transfer the heat generated by the equipment in the cabinet in the data center 101 to the primary side circulation loop through heat exchange, and the primary side circulation loop is used to release the heat of the primary side circulation loop to the external environment through heat exchange to ensure that the coolant remains at a low temperature.

[0040] In some embodiments, cooling tower 201 is used to release heat from the coolant to the ambient air. Cooling towers are commonly used in liquid cooling systems, especially in situations where large-scale cooling of the liquid is required. Cooling tower 201 uses the principle of evaporative cooling to reduce the water temperature to a lower temperature through the heat exchange between air and water. The coolant with a higher temperature passes through the cooling tower and exchanges heat with the outside air, so that the coolant temperature is reduced and then returns to the system to continue circulation.

[0041] In some embodiments, the cooling pump 202 is used to circulate the coolant of the primary side circulation loop (hereinafter referred to as the primary side coolant for ease of description), and cooling is achieved by transporting the primary side coolant to various components (such as the primary side heat exchanger 203, the liquid cooling terminal 204, etc.). The cooling pump 202 ensures that the heat can be effectively taken away and released through the cooling tower 201 by maintaining the flow of the primary side coolant in the cooling system. The cooling pump usually adjusts the coolant flow rate according to the change of the heat load of the system to ensure that the entire cooling system works efficiently.

[0042] In some embodiments, the primary side heat exchanger 203 is used to achieve heat exchange in the liquid cooling system. Through the primary side heat exchanger, the primary side coolant can exchange heat with the coolant in the secondary side circulation loop (hereinafter referred to as the secondary side coolant for ease of description). In this process, the heat in the secondary side coolant is transferred to the primary side coolant, and the primary side coolant carries this heat to the cooling tower, where it is released into the environment through heat dissipation to cool the primary side coolant.

[0043] In some embodiments, the liquid cooling terminal 204 refers to a device in a liquid cooling system that removes heat from equipment in a cabinet in the data center 101. For example, the liquid cooling terminal 204 is a liquid cooling cold plate kit.

[0044] In some embodiments, the cooling capacity distribution unit 205 includes a water pump and a secondary heat exchanger. The water pump is used to provide power to push the secondary coolant from the cooling source (such as the secondary heat exchanger) to the heat source (such as the CPU, GPU, power module, etc.) and take away the heat generated by the heat source. The secondary heat exchanger is used to heat exchange the secondary coolant with heat with the primary coolant through heat exchange to release the heat to the external environment.

[0045] In some embodiments, the air-cooled terminal 206 refers to a device in the air-cooled system that takes heat away from the equipment in the cabinet in the data center 101. For example, the air-cooled terminal 206 is an air-cooled air conditioner. The air-cooled air conditioner performs a refrigeration cycle of the air-cooled air conditioner by using a compressor, a condenser, an expansion valve, and an evaporator. The refrigeration cycle includes a series of processes involving compression, condensation, expansion, and evaporation, and supplies refrigerant to the air that has been conditioned and heat-exchanged. The compressor compresses the refrigerant gas in a high-temperature and high-pressure state and discharges the compressed refrigerant gas. The discharged refrigerant gas flows into the condenser. The condenser condenses the compressed refrigerant into a liquid phase, and heat is released to the surrounding environment through the condensation process. The expansion valve expands the liquid phase refrigerant in a high-temperature and high-pressure state condensed in the condenser into a low-pressure liquid phase refrigerant. The evaporator evaporates the refrigerant expanded in the expansion valve and returns the refrigerant gas in a low-temperature and low-pressure state to the compressor. The evaporator can achieve a refrigeration effect by utilizing the latent heat of evaporation of the refrigerant to exchange heat with the material to be cooled. In the entire cycle, the air-cooled air conditioner can adjust the temperature of the indoor space. The outdoor unit of the air-cooled air conditioner refers to the part of the refrigeration cycle including the compressor and the outdoor heat exchanger, the indoor unit of the air-cooled air conditioner includes the indoor heat exchanger, and the expansion valve may be provided in the indoor unit or the outdoor unit. The indoor heat exchanger and the outdoor heat exchanger function as a condenser or an evaporator. When the indoor heat exchanger functions as a condenser, the air-cooled air conditioner functions as a heater in the heating mode, and when the indoor heat exchanger functions as an evaporator, the air-cooled air conditioner functions as a cooler in the cooling mode.

[0046] The testing method of the cooling system provided in the embodiment of the present application is described in detail below with reference to the accompanying drawings.

[0047] Figure 3 A flow chart of a cooling system testing method provided in an embodiment of the present application. Figure 3 As shown, the method comprises the following steps:

[0048] S101. Determine the test conditions and test indicators of the cooling system of the data center.

[0049] The test conditions are used to reflect the operation of the data center. The test conditions may include a variety of operating parameters, such as ambient temperature (such as outdoor dry bulb temperature, outdoor wet bulb temperature), cooling load, start and stop status of the fan in the cooling tower, frequency of the fan in the cooling tower, cooling water inlet temperature, cooling water outlet temperature, start and stop status of the cooling pump, frequency of the cooling pump, etc. By setting different operating parameters, various operating conditions of the data center can be simulated. The conditions are pre-set according to the application scenario of the cooling system.

[0050] The test indicators are used to analyze the effect of the cooling system under different test conditions. The test indicators are usually pre-set. For example, the test indicators can be any of the following: energy consumption indicator, energy efficiency indicator, cooling efficiency indicator, heat load handling capacity indicator, and flow indicator of the cooling system.

[0051] As a possible implementation manner, the test operating condition may be the current operating condition of the cooling system, so the operating condition parameters of the current operating condition of the cooling system may be obtained to determine the current operating condition of the cooling system.

[0052] As another possible implementation method, the test conditions can be pre-set conditions based on the application scenarios of the cooling system. For example, high-load conditions, extreme weather conditions (such as high temperature conditions in summer), etc. In this way, different business requirements, external environmental changes, or extreme situations that may occur in the future can be simulated through pre-set conditions, so as to verify and optimize the performance of the cooling system during the design stage.

[0053] S102. Running a model of the cooling system of the data center based on a simulation tool, simulating the cooling effect under test conditions, and monitoring changes in test indicators in real time during the simulation process.

[0054] The model of the cooling system of the data center is constructed based on the parameters of each cooling component of the cooling system.

[0055] As a possible implementation method, the parameters of the test conditions can be input into the model of the cooling system to simulate the cooling effect under the test conditions. After running the model of the cooling system based on the simulation tool, the changes in the test indicators output by the model of the cooling system can be obtained, so as to monitor the changes in the test indicators in real time during the simulation process.

[0056] In some embodiments, when the test indicator includes an energy consumption indicator, the model of the cooling system of the data center includes an energy consumption model for reflecting the energy consumption of the cooling system.

[0057] Among them, the energy consumption model includes at least one of the following: the energy consumption model of the cooling tower, the energy consumption model of the cooling pump, the energy consumption model of the air-cooled cooling system, and the energy consumption and heat exchange model of the cold distribution unit; the energy consumption and heat exchange model of the cold distribution unit includes the energy consumption model of the water pump in the cold distribution unit and the heat exchange model of the heat exchanger in the cold distribution unit; the heat exchange model of the heat exchanger is used to reflect the heat exchange capacity of the heat exchanger.

[0058] The energy consumption model of the cooling tower, the energy consumption model of the cooling pump, the energy consumption model of the air-cooled cooling system, and the relationship between the energy consumption and heat exchange model of the cooling distribution unit are as follows: Figure 4 As shown, based on the refrigeration principle of the homologous cooling system of air cooling and liquid cooling, the energy consumption model of the cooling tower is linked to the energy consumption model of the cooling pump through the cooling water flow rate; the energy consumption model of the cooling pump is linked to the energy consumption model of the air cooling system through the cooling water flow rate; the energy consumption model of the air cooling system is linked to the energy consumption and heat exchange model of the cooling capacity distribution unit through the total cooling capacity; the energy consumption and heat exchange model of the cooling capacity distribution unit is linked to the energy consumption model of the cooling tower through the cooling water supply temperature and the cooling water return temperature; the energy consumption model of the cooling tower is linked to the energy consumption model of the air cooling system through the cooling water supply temperature and the cooling water return temperature; the energy consumption model of the cooling pump is linked to the energy consumption and heat exchange model of the cooling capacity distribution unit through the cooling water flow rate.

[0059] In addition, regarding the energy consumption model of the cooling tower, the energy consumption model of the cooling pump, the energy consumption model of the air cooling system, and the energy consumption and heat exchange model of the cooling distribution unit, you can refer to the specific description of the energy consumption model of the cooling tower, the energy consumption model of the cooling pump, the energy consumption model of the air cooling system, and the energy consumption and heat exchange model of the cooling distribution unit in the following embodiments, and this application will not go into details here.

[0060] In other embodiments, when the test indicator includes other indicators besides the energy consumption indicator, for example, when the test indicator includes the flow indicator of the cooling system, the model of the cooling system of the data center includes a flow model for reflecting the volume flow of the fluid in the cooling system.

[0061] Exemplarily, the flow model for reflecting the volume flow of the fluid in the cooling system includes a flow model of a cooling pump. The flow model of the cooling pump can be determined based on the heat taken away by the coolant, the temperature difference between the inlet and outlet water, and the resistance of the cooling system.

[0062] In other embodiments, the energy consumption model is a model optimized based on a roughness model of the coolant circulation pipeline. The roughness model of the coolant circulation pipeline is used to reflect the flow resistance of the coolant circulation pipeline. The roughness model is used to minimize the deviation between the actual parameter value and the expected parameter value in the coolant circulation pipeline.

[0063] Among them, the roughness model of the coolant circulation pipeline is constructed based on the objective function and constraint conditions; the objective function is used to characterize the deviation value between the actual parameter value and the expected parameter value in the coolant circulation pipeline, and the constraint conditions are used to constrain the flow resistance of the coolant circulation pipeline to be within the rated resistance range.

[0064] Exemplarily, the mathematical expression of the objective function is shown in the following formula (1):

[0065]

[0066] Where, obj(S) is the resistance coefficient of each pipe in the coolant circulation pipeline to be optimized; Z is the number of test conditions; N P is the number of pressure sensors in the coolant circulation pipeline; N Q is the number of flow sensors in the coolant circulation pipeline; p o,zi is the actual pressure value detected by the pressure sensor in the coolant circulation pipeline, in Pascal (Pa); s,zi Q is the expected pressure value detected by the pressure sensor in the coolant circulation pipeline, in Pascal (Pa); o,zj It is the actual flow value detected by the flow sensor in the coolant circulation pipeline, in cubic meters per hour (m 3 / h); Q s,zj It is the expected flow value detected by the flow sensor in the coolant circulation pipeline, in cubic meters per hour (m 3 / h).

[0067] The mathematical expression of the constraint condition is shown in the following formula (2):

[0068]

[0069] Among them, S n,min is the lower limit of the resistance coefficient of the nth pipe; S n,max is the upper limit of the resistance coefficient of the nth pipe; n = 1, 2, 3, …, n.

[0070] S103: Analyze the operation of the cooling model of the data center based on the cooling effect under the test conditions and the changes in the test indicators.

[0071] As a possible implementation method, the overall performance of the cooling system can be analyzed based on the cooling effect under the test conditions and the changes in the test indicators, so that when the overall performance is poor, the current test conditions can be optimized or adjusted.

[0072] As another possible implementation method, by comparing the changes in cooling lobes and test indicators under various test conditions, the test condition that best achieves the best overall performance of the cooling system can be identified, so that the cooling strategy under the best test condition can be determined as the actual control strategy of the cooling system.

[0073] Based on the above S101-S103, the present application provides a cooling system testing method, which can simulate the cooling effect of air-cooled and liquid-cooled homologous cooling systems under various test conditions through simulation tools, and combined with the changes in test indicators, can fully understand the operation of the cooling system in the data center. Compared with the possible safety risks caused by directly adjusting the operating parameters of the cooling system, this simulation analysis-based method can accurately simulate the cooling effect of the cooling system under different test conditions, thereby providing data support for the subsequent adjustment of the cooling strategy, and then the operating parameters of the cooling system can be optimized and adjusted.

[0074] The following is an exemplary description of the simulation process of the cooling system when the test index includes the energy consumption index. Figure 5 As shown in the figure, after obtaining the operating parameters of the cooling system, the operating parameters are input into the energy consumption model used to reflect the energy consumption of the cooling system. Specifically, after the outdoor dry bulb temperature, outdoor wet bulb temperature, and cooling load are input into the mechanism model of the cooling tower and the power model of the cooling tower, the start and stop state of the fan in the cooling tower and the frequency of the fan in the cooling tower are input into the power model of the cooling tower, the cooling water inlet temperature and the cooling water outlet temperature are respectively input into the mechanism model of the cooling tower, the heat exchange and energy consumption model of the cooling capacity distribution unit, and the energy consumption model of the air cooling system, and the start and stop state of the cooling pump and the frequency of the cooling pump are input into the power model of the cooling pump and the heat exchange model of the primary side heat exchanger. Afterwards, the energy consumption model is optimized based on the roughness model of the coolant circulation pipeline to obtain the operating status and energy consumption indicators of each component in the cooling system output by the optimized energy consumption model.

[0075] In some embodiments, the energy consumption model of the cooling tower is constructed based on the mechanism model of the cooling tower and the power model of the cooling tower.

[0076] The cooling tower mechanism model is used to simulate the heat exchange between air and water in the cooling tower. The cooling tower power model is used to reflect the relationship between the frequency of the fan in the cooling tower, the air mass flow rate in the cooling tower and the power of the cooling tower.

[0077] The mechanism model and power model of the cooling tower are explained below by way of example.

[0078] (1) Cooling tower mechanism model

[0079] For example, a component-based cooling tower model can be selected as the mechanism model of the cooling tower. The mathematical expression of the model is shown in the following formula (3):

[0080] Q ct =ε a M a (h s,w,in -h a,in ) Formula (3)

[0081] Among them, Q ct is the heat dissipation of the cooling tower; a is the heat exchange rate of the cooling tower; h s,w,in is the enthalpy of saturated air at the water temperature at the cooling tower inlet, in kJ / kg; h a,in is the enthalpy of the air at the cooling tower inlet, in kJ / kg; M a is the air mass flow rate in the cooling tower, in kg / s.

[0082] When the Lewis number, which describes the relative magnitude of the heat transfer and mass transfer effects in the convection process, is equal to 1, the heat transfer rate ε of the counterflow cooling tower is a It can be expressed as the following formula (4):

[0083]

[0084] For the heat transfer efficiency of the cross-flow cooling tower ε a It can be expressed as the following formula (5):

[0085]

[0086] In the above formula (4) and formula (5),

[0087] Where NTI is the number of heat transfer units; M w is the mass flow rate of cooling water, in kg / s; c and n are the empirical constants of the cooling tower mechanism model; M * is the thermal efficiency ratio of cooling tower air and cooling water; C p C s For saturated air.

[0088] (2) Cooling tower power model

[0089] For example, the air mass flow rate in the cooling tower and the power of the cooling tower are usually affected by the speed of the fan in the cooling tower. Therefore, the mathematical expression of the power model of the cooling tower can be shown as follows:

[0090] P fan =C0+C1M a +C2M a 2 Formula (6)

[0091] M a =D0+D1F Formula (7)

[0092] Among them, P fan is the power of the cooling tower; C0, C1, C2, D0, D1 are fitting coefficients; M a is the air mass flow rate in the cooling tower; F is the frequency of the fan in the cooling tower.

[0093] In some embodiments, the energy consumption model of the cooling pump is constructed based on the mechanism model of the cooling pump and the power model of the cooling pump.

[0094] The mechanism model of the cooling pump is used to reflect the similarity of the cooling pump under different test conditions. The power model of the cooling pump is used to reflect the relationship between the frequency of the cooling pump, the cooling water flow rate of the cooling pump and the power of the cooling pump.

[0095] The mechanism model and power model of the cooling tower are explained below by way of example.

[0096] (1) Mechanism model of cooling pump

[0097] For example, based on the similarity theory of cooling pumps, if the geometric shapes, fluid properties and motion conditions of two cooling pumps remain similar, then the working performance (such as flow rate, head, power, etc.) of the two cooling pumps is also similar. In this way, the performance of the large cooling pump in the actual use stage can be inferred through the model of the small cooling pump used in the experimental stage.

[0098] For example, the similarity relationship between the two cooling pumps can be expressed as follows: Formula (8), Formula (9), and Formula (10).

[0099]

[0100] Among them, f i is the frequency of the cooling pump; M c,i is the cooling water flow of the cooling pump; P iis the power of the cooling pump; n i is the rotational speed of the cooling pump; when i=1, the cooling pump is the small cooling pump used in the above-mentioned experimental stage, and when i=2, the cooling pump is the large cooling pump in the actual use stage, or, when i=1, the cooling pump is the large cooling pump in the actual use stage, and when i=2, the cooling pump is the small cooling pump used in the above-mentioned experimental stage.

[0101] (2) Cooling pump power model

[0102] Exemplarily, the cooling pump usually adjusts the cooling water flow rate of the cooling water pump and the power of the cooling pump by adjusting the impeller speed. Therefore, the mathematical expression of the power model of the cooling pump can be shown as follows:

[0103] P pump =A0+A1M c +A2M c 3 Formula (11)

[0104] M cdw =B0+B1f Formula (12)

[0105] Among them, P punp is the power of the cooling pump; A0, A1, A2, B0, B1 are fitting coefficients; M c is the cooling water flow of the cooling pump; f is the frequency of the cooling pump.

[0106] In some embodiments, the energy consumption of the cooling distribution unit and the energy consumption model of the water pump in the cooling distribution unit in the heat exchange model can refer to the specific description of the energy consumption model of the cooling pump, and the present application will not repeat it here. In addition, based on the steady-state heat conservation principle, the heat change on the high-temperature side of the heat exchanger is equal to the heat exchange capacity of the heat exchanger, and is also equal to the heat change on the low-temperature side of the heat exchanger. The mathematical expression of the heat exchange model of the heat exchanger in the cooling distribution unit is shown in the following formula (13) and formula (14):

[0107]

[0108] In the above formula (13) and formula (14),

[0109] Where, ΔT m is the average temperature difference of the heat exchanger, in degrees Celsius (℃); m h is the mass of high temperature medium, in kilograms (kg); c h is the specific heat of the high temperature medium, in joules per kilogram Celsius (J / (kg·℃)); t ho is the outlet water temperature at the high temperature side, in degrees Celsius (℃); thi is the high temperature side inlet water temperature, in degrees Celsius (℃); m l is the mass of the low-temperature medium, in kilograms (kg); c l is the specific heat of the low temperature medium, in joules per kilogram Celsius (J / (kg·℃)); t lo is the low temperature side water inlet temperature, in degrees Celsius (℃); t li is the outlet water temperature at the low temperature side, in degrees Celsius (℃); R is the heat transfer resistance of the heat exchanger, in square meters·Kelvin per watt (m 2 K / W); K is the total heat transfer coefficient of the heat exchanger, in watts per square meter per degree Celsius (W / (m 2 ·℃)); α l is the low temperature medium convection heat transfer coefficient, expressed in watts per square meter per degree Celsius (W / (m 2 ·℃)); α h is the high temperature medium convection heat transfer coefficient, expressed in watts per square meter per degree Celsius (W / (m 2 ·℃));λ l is the thermal conductivity of dirt on the low-temperature medium side, expressed in watts per square meter per degree Celsius (W / (m 2 ·℃)); λ is the heat transfer plate fouling thermal conductivity, expressed in watts per square meter per degree Celsius (W / (m 2 ·℃));λ h is the thermal conductivity of dirt on the high-temperature medium side, expressed in watts per square meter per degree Celsius (W / (m 2 ·℃));δ l is the dirt thickness on the low-temperature medium side, in meters (m); δ is the dirt thickness on the heat exchange plate, in meters (m); δ h is the dirt thickness on the high-temperature medium side, in meters (m); F is the medium flow cross-sectional area, in square meters (m 2 ).

[0110] In some embodiments, based on the principle of energy conservation and Figure 6 The pressure-enthalpy diagram of the air-cooling system is shown in FIG. 1 , and the mathematical expression of the energy consumption model of the air-cooling system is shown in the following formulas (15), (16), (17), (18) and (19):

[0111] q0=h1-h5 Formula (15)

[0112] p k =h2-h4 Formula (16)

[0113] w=(h2-h1) Formula (17)

[0114] p k =q0+w Formula (18)

[0115] w0=(h2-h1) / η Formula (19)

[0116] Among them, in the above formula (19),

[0117] Where, q0 is the cooling capacity of the evaporation side of the air-cooled cooling system, in watts (W); h1 is the enthalpy value at the inlet of the evaporator, in joules (J); h5 is the enthalpy value at the outlet of the evaporator, in joules

[0118] (J); h4 is the enthalpy value at the condenser inlet, joule (J); h2 is the enthalpy value at the condenser outlet, joule (J); p k is the heat rejection on the condensing side of the air-cooled cooling system, in watts (W); w is the theoretical power consumption of the compressor, in watts (W); η is the isentropic compression efficiency of the compressor; p1 is the suction pressure of the compressor, in Pascal (Pa); p2 is the exhaust pressure of the compressor, in Pascal (Pa); w0 is the actual power consumption of the compressor, in watts (W).

[0119] The embodiment of the present application can divide the functional modules of the above-mentioned control device according to the above-mentioned method example. For example, each functional module can be divided corresponding to each function. The above-mentioned integrated module can be implemented in the form of hardware or in the form of software functional modules. It should be noted that the division of modules in the embodiment of the present application is schematic and is only a logical function division. There may be other division methods in actual implementation.

[0120] In the case of dividing each functional module into corresponding functional modules, Figure 7 FIG. 2 shows a test device for the cooling system in the above embodiment. Figure 7 As shown, a testing device 700 for a cooling system (hereinafter referred to as a testing device for ease of description) includes: a determination module 701 , a testing module 702 and a processing module 703 .

[0121] Among them, the determination module 701 is used to determine the test conditions and test indicators of the cooling system of the data center; the test conditions are used to reflect the operation status of the data center.

[0122] The test module 702 is used to run the model of the cooling system of the data center based on the simulation tool, simulate the cooling effect under the test conditions, and monitor the changes of the test indicators in real time during the simulation process; the model of the cooling system of the data center is constructed based on the parameters of each cooling component of the cooling system.

[0123] The processing module 703 is used to analyze the operation status of the cooling model of the data center based on the cooling effect under the test condition and the change of the test index.

[0124] Of course, the test device 700 includes but is not limited to the unit modules listed above. Moreover, the specific functions that can be realized by the above functional units also include but are not limited to the functions corresponding to the method steps of the above embodiments. The detailed description of other modules of the test device 700 can refer to the detailed description of the corresponding method steps, and the embodiments of the present application will not be repeated here.

[0125] In an exemplary embodiment, the present application also provides an electronic device. The electronic device may include: a processor and a memory; the memory stores instructions executable by the processor; when the processor is configured to execute the instructions, the electronic device implements the method described in the above method embodiment.

[0126] In an exemplary embodiment, the present application also provides a computer-readable storage medium on which computer program instructions are stored; when the computer program instructions are executed by an electronic device, the electronic device implements the method described in the above embodiment. The computer-readable storage medium may be a non-temporary computer-readable storage medium, for example, the non-temporary computer-readable storage medium may be a ROM, a random access memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, etc.

[0127] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any changes or substitutions within the technical scope disclosed in the present application 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 system testing method, characterized in that: The cooling system is an air-cooling and liquid-cooling homologous cooling system, and the method comprises: Determine the test conditions and test indicators of the cooling system of the data center; the test conditions are used to reflect the operation status of the data center; Running the model of the cooling system of the data center based on the simulation tool, simulating the cooling effect under the test condition, and monitoring the changes of the test indicators in real time during the simulation process; the model of the cooling system of the data center is constructed based on the operating parameters of each cooling component of the cooling system; Based on the cooling effect under the test conditions and the changes in the test indicators, the operation of the cooling model of the data center is analyzed.

2. The method according to claim 1, characterized in that The model of the cooling system of the data center includes an energy consumption model for reflecting the energy consumption of the cooling system, and the test index includes an energy consumption index.

3. The method according to claim 2, characterized in that The energy consumption model includes at least one of the following: The energy consumption model of the cooling tower, the energy consumption model of the cooling pump, the energy consumption model of the air-cooled cooling system and the energy consumption and heat exchange model of the cold distribution unit; the energy consumption and heat exchange model of the cold distribution unit includes the energy consumption model of the water pump in the cold distribution unit and the heat exchange model of the heat exchanger in the cold distribution unit; the heat exchange model of the heat exchanger is used to reflect the heat exchange capacity of the heat exchanger.

4. The method according to claim 2, characterized in that: The energy consumption model is a model that is optimized based on the roughness model of the coolant circulation pipeline; the roughness model of the coolant circulation pipeline is used to reflect the flow resistance of the coolant circulation pipeline; the roughness model is used to minimize the deviation between the actual parameter value and the expected parameter value in the coolant circulation pipeline.

5. The method according to claim 4, characterized in that The roughness model of the coolant circulation pipeline is constructed based on an objective function and constraint conditions; the objective function is used to characterize the deviation value between the actual parameter value and the expected parameter value in the coolant circulation pipeline, and the constraint conditions are used to constrain the flow resistance of the coolant circulation pipeline to be within the rated resistance range.

6. The method according to claim 3, characterized in that The energy consumption model of the cooling tower is constructed based on the mechanism model of the cooling tower and the power model of the cooling tower; the power model of the cooling tower is used to reflect the relationship between the frequency of the fan in the cooling tower, the air mass flow in the cooling tower and the power of the cooling tower; The energy consumption model of the cooling pump is constructed based on the mechanism model of the cooling pump and the power model of the cooling pump; the power model of the cooling pump is used to reflect the relationship between the frequency of the cooling pump, the cooling water flow rate of the cooling pump and the power of the cooling pump.

7. The method according to any one of claims 1 to 6, characterized in that: The test index includes any one of the following: energy consumption index, energy efficiency index, cooling efficiency index, heat load handling capacity index, and flow index.

8. A cooling system testing device, characterized in that: The cooling system is an air-cooling and liquid-cooling homologous cooling system, and the device comprises: A determination unit, used to determine the test conditions and test indicators of the cooling system of the data center; the test conditions are used to reflect the operation status of the data center; A test unit, used to run a model of the cooling system of the data center based on a simulation tool, simulate the cooling effect under the test condition, and monitor the changes of the test indicators in real time during the simulation process; the model of the cooling system of the data center is constructed based on the parameters of each cooling component of the cooling system; A processing unit is used to analyze the operation of the cooling model of the data center based on the cooling effect under the test conditions and the changes in the test indicators.

9. An electronic device, characterized in that: The electronic device comprises: a processor and a memory; The memory stores instructions executable by the processor; When the processor is configured to execute the instructions, the electronic device implements the method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes: computer software instructions; When the computer software instructions are executed in an electronic device, the electronic device is enabled to implement the method according to any one of claims 1 to 7.

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