Data center energy efficiency evaluation method, device and equipment and storage medium

Abstract

The invention discloses a data center energy efficiency evaluation method. The method comprises the following steps: acquiring temperature data of a data center, performance parameters of each energy consumption device and actual energy consumption data in a preset time period; calculating the actual energy efficiency of the data center according to the actual energy consumption data; the operation time of the data center in different refrigeration operation modes is determined based on the temperature data, the reference cooling energy consumption of the data center is calculated according to the operation time and the performance parameters, and the reference energy efficiency is calculated according to the reference cooling energy consumption; comparing the actual energy efficiency with the reference energy efficiency to obtain a relative energy efficiency factor, and using the relative energy efficiency factor to complete energy efficiency evaluation; the relative energy efficiency factor can accurately reflect the actual energy efficiency level of the data center energy consumption facility, so that the accuracy of data center energy efficiency evaluation is improved, and the sustainability of the data center is enhanced.

Description

Technical Field

[0001] The present invention relates to the technical field of data center energy efficiency evaluation, and in particular to a data center energy efficiency evaluation method, device, equipment and storage medium. Background Art

[0002] With the development of informatization, data centers have become an indispensable part of modern society. With the rapid growth in the number of data centers, the problem of energy consumption has become more serious. Improving the energy performance of data centers is crucial to reducing their impact on the environment and enhancing global energy security.

[0003] Power usage effectiveness (PUE) is usually used as a key indicator to evaluate the energy performance of data centers. Currently, using only PUE cannot effectively evaluate the quality of data centers under different climatic conditions or the advancement of cooling technology, and thus cannot accurately reflect the actual energy efficiency level of data center energy consumption facilities. Summary of the invention

[0004] The embodiment of the present invention provides a data center energy efficiency evaluation method, which can accurately reflect the actual energy efficiency level of energy consumption facilities in the data center.

[0005] In a first aspect, an embodiment of the present invention provides a data center energy efficiency evaluation method, comprising:

[0006] Collect temperature data of the data center, performance parameters of each energy-consuming device, and actual energy consumption data within a preset time period;

[0007] Calculate the actual energy efficiency of the data center according to the actual energy consumption data;

[0008] Determine the operating time of the data center in different cooling operation modes based on the temperature data, calculate the baseline cooling energy consumption of the data center according to the operating time and the performance parameters, and calculate the baseline energy efficiency according to the baseline cooling energy consumption;

[0009] The actual energy efficiency is compared with the benchmark energy efficiency to obtain a relative energy efficiency factor, and the relative energy efficiency factor is used to complete energy efficiency evaluation.

[0010] Furthermore, the temperature data includes the ambient wet-bulb temperature, the indoor temperature requirement of the data center, the heat exchange temperature difference rated value and the heat exchange temperature difference minimum value; wherein the heat exchange temperature difference minimum value is less than the heat exchange temperature difference rated value.

[0011] Furthermore, the energy-consuming equipment includes IT equipment, refrigeration system equipment and non-IT equipment, and the actual energy consumption data includes IT equipment energy consumption, actual cooling energy consumption and non-IT equipment energy consumption.

[0012] Furthermore, the actual energy efficiency of the data center is calculated according to the actual energy consumption data, including:

[0013] The IT equipment energy consumption, the actual cooling energy consumption, and the ratio of the non-IT equipment energy consumption to the IT equipment energy consumption are calculated to obtain the actual energy efficiency of the data center.

[0014] Further, the refrigeration operation mode includes a natural cooling mode, a mixed cooling mode and a forced cooling mode, then, determining the operation time of the data center in different refrigeration operation modes based on the temperature data includes:

[0015] When the ambient wet-bulb temperature is less than or equal to the difference between the indoor temperature requirement and the heat exchange temperature difference rated value, the cooling operation mode of the data center is a natural cooling mode, and a first operation time of the natural cooling mode is obtained;

[0016] When the ambient wet-bulb temperature is greater than the difference between the indoor temperature demand and the rated value of the heat exchange temperature difference, and less than the difference between the indoor temperature demand and the minimum value of the heat exchange temperature difference, the cooling operation mode of the data center is a mixed cooling mode, and a second operation time of the mixed cooling mode is obtained;

[0017] When the ambient wet-bulb temperature is greater than or equal to the difference between the indoor temperature requirement and the minimum heat exchange temperature difference, the cooling operation mode of the data center is a forced cooling mode, and a third operation time of the forced cooling mode is obtained.

[0018] Furthermore, the performance parameters include cooling tower power, minimum power of the water cooling unit, and maximum power of the water cooling unit. Then, the calculation of the benchmark cooling energy consumption of the data center according to the operating time and the performance parameters includes:

[0019] The baseline cooling energy consumption of the data center is calculated according to the operating time and the performance parameters. The specific formula is:

[0020]

[0021] Among them, E b represents the benchmark cooling energy consumption, P1 represents the cooling tower power, P 21 Indicates the minimum power of the water cooling unit, P 22 Indicates the maximum power of the water cooling unit, t1 indicates the first operating time, t2 indicates the second operating time, and t3 indicates the third operating time.

[0022] Furthermore, the step of calculating the benchmark energy efficiency according to the benchmark cooling energy consumption includes:

[0023] The IT equipment energy consumption, the benchmark cooling energy consumption, and the ratio of the non-IT equipment energy consumption to the IT equipment energy consumption are calculated to obtain a benchmark energy efficiency of the data center.

[0024] In a second aspect, an embodiment of the present invention provides a data center energy efficiency evaluation device, including:

[0025] The data acquisition module is used to collect the temperature data of the data center, the performance parameters of each energy-consuming device, and the actual energy consumption data within a preset time period;

[0026] An actual energy efficiency calculation module, used to calculate the actual energy efficiency of the data center according to the actual energy consumption data;

[0027] A benchmark energy efficiency calculation module, used to determine the operating time of the data center under different cooling operation modes based on the temperature data, calculate the benchmark cooling energy consumption of the data center according to the operating time and the performance parameters, and calculate the benchmark energy efficiency according to the benchmark cooling energy consumption;

[0028] The energy efficiency evaluation module is used to compare the actual energy efficiency with the benchmark energy efficiency to obtain a relative energy efficiency factor, and use the relative energy efficiency factor to complete energy efficiency evaluation.

[0029] In a third aspect, an embodiment of the present invention provides an electronic device, including:

[0030] Memory for storing computer programs;

[0031] A processor, configured to execute the computer program;

[0032] Wherein, when the processor executes the computer program, the data center energy efficiency evaluation method described in any one of the first aspects above is implemented.

[0033] In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed, the data center energy efficiency evaluation method described in any one of the first aspects above is implemented.

[0034] Compared with the prior art, the embodiment of the present invention provides a data center energy efficiency evaluation method, which has the following beneficial effects: by collecting the temperature data of the data center, the performance parameters of each energy-consuming device and the actual energy consumption data within a preset time period; calculating the actual energy efficiency of the data center according to the actual energy consumption data; determining the operating time of the data center in different refrigeration operation modes based on the temperature data, calculating the benchmark cooling energy consumption of the data center according to the operating time and the performance parameters, and calculating the benchmark energy efficiency according to the benchmark cooling energy consumption; comparing the actual energy efficiency with the benchmark energy efficiency to obtain a relative energy efficiency factor, and completing energy efficiency evaluation using the relative energy efficiency factor; the relative energy efficiency factor of the present invention can accurately reflect the actual energy efficiency level of the energy-consuming facilities of the data center, thereby improving the accuracy of the energy efficiency evaluation of the data center and enhancing the sustainability of the data center. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] In order to more clearly illustrate the technical features of the embodiments of the present invention, the drawings required for use in the embodiments of the present invention will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without paying any creative work.

[0036] Figure 1 It is a flow chart of a data center energy efficiency evaluation method provided by an embodiment of the present invention;

[0037] Figure 2 is a schematic diagram of a data center according to a data center energy efficiency evaluation method provided by an embodiment of the present invention;

[0038] Figure 3 It is a structural schematic diagram of a data center energy efficiency evaluation device provided by an embodiment of the present invention;

[0039] Figure 4 It is a structural schematic diagram of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0040] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0041] In a first aspect, an embodiment of the present invention provides a data center energy efficiency evaluation method, see Figure 1 , which is a flow chart of an embodiment of a data center energy efficiency evaluation method provided by the present invention.

[0042] like Figure 1 As shown, the method comprises the following steps:

[0043] S1: Collect the temperature data of the data center, the performance parameters of each energy-consuming device, and the actual energy consumption data within a preset time period;

[0044] S2: Calculate the actual energy efficiency of the data center according to the actual energy consumption data;

[0045] S3: determining the operating time of the data center in different cooling operation modes based on the temperature data, calculating the baseline cooling energy consumption of the data center according to the operating time and the performance parameter, and obtaining a baseline energy efficiency according to the baseline cooling energy consumption;

[0046] S4: Compare the actual energy efficiency with the benchmark energy efficiency to obtain a relative energy efficiency factor, and use the relative energy efficiency factor to complete energy efficiency evaluation.

[0047] In the specific implementation, see Figure 2 As shown, it is a schematic diagram of the structure of the data center in the present invention. First, wet-bulb thermometers and temperature sensors are arranged outside and inside the data center to collect temperature data, and collect performance parameters of each energy-consuming device and actual energy consumption data within a preset time period. The actual energy consumption data of each energy-consuming device can be collected in units of hours, and then the energy consumption data of each type of equipment within a preset time period is accumulated and calculated, such as the energy consumption data within one year. According to the accumulated energy consumption data, the actual energy efficiency of the data center, that is, the actual PUE value, is calculated. According to the analysis of the collected temperature data, the cooling operation mode to be adopted by the data center in different situations is determined, and according to the operation of different operation modes, the actual energy consumption data of the data center is calculated. The benchmark cooling energy consumption of the data center in all cooling modes is calculated, and the benchmark energy efficiency, that is, the benchmark PUE value, is calculated based on the benchmark cooling energy consumption. The actual energy efficiency is compared with the benchmark energy efficiency to obtain the relative energy efficiency factor PUER. This factor reflects the relative level of the actual energy efficiency of the data center and the benchmark energy efficiency. It is an important indicator for evaluating the energy efficiency of the data center. According to the value of the relative energy efficiency factor, the energy efficiency of the data center is evaluated. If the relative energy efficiency factor is close to or less than 1, it means that the energy efficiency performance of the data center is good and close to or has reached the benchmark level. If the relative energy efficiency factor is greater than 1, it means that the energy efficiency of the data center needs to be improved, and energy-saving measures need to be taken to reduce energy consumption.

[0048] In summary, the present invention collects temperature data of the data center, performance parameters of each energy-consuming device, and actual energy consumption data within a preset time period; calculates the actual energy efficiency of the data center according to the actual energy consumption data; determines the operating time of the data center in different refrigeration operation modes based on the temperature data, calculates the benchmark cooling energy consumption of the data center according to the operating time and the performance parameters, and calculates the benchmark energy efficiency according to the benchmark cooling energy consumption; compares the actual energy efficiency with the benchmark energy efficiency to obtain a relative energy efficiency factor, and uses the relative energy efficiency factor to complete energy efficiency evaluation; the relative energy efficiency factor of the present invention can accurately reflect the actual energy efficiency level of the energy-consuming facilities of the data center, thereby improving the accuracy of the energy efficiency evaluation of the data center, and can formulate targeted energy-saving strategies, improve energy utilization efficiency, and enhance the sustainability of the data center.

[0049] In an optional embodiment, the temperature data includes the ambient wet-bulb temperature, the indoor temperature requirement of the data center, the heat exchange temperature difference rated value and the heat exchange temperature difference minimum value; wherein the heat exchange temperature difference minimum value is less than the heat exchange temperature difference rated value.

[0050] Specifically, the collected temperature data include the ambient wet-bulb temperature, the indoor temperature requirement of the data center, the heat exchange temperature difference rating and the minimum heat exchange temperature difference. Among them, the ambient wet-bulb temperature is a temperature index that takes into account the air humidity. It is measured using a wet-bulb thermometer or a thermometer with a humidity sensor, which can accurately reflect the external environmental conditions. The indoor temperature requirement of the data center is the temperature range that needs to be maintained inside the data center to ensure the normal operation of servers and other equipment. Multiple temperature sensors can be arranged inside the data center for collection. The heat exchange temperature difference rating is the maximum heat exchange temperature difference set when the cooling system is designed, that is, the temperature difference between the air inside the data center and the water temperature at the cooling tower outlet. The minimum heat exchange temperature difference is the minimum heat exchange temperature difference allowed by the cooling system during operation, which is usually less than the heat exchange temperature difference rating.

[0051] In an optional implementation, the energy-consuming equipment includes IT equipment, refrigeration system equipment, and non-IT equipment, and the actual energy consumption data includes IT equipment energy consumption, actual cooling energy consumption, and non-IT equipment energy consumption.

[0052] In an optional implementation manner, calculating the actual energy efficiency of the data center according to the actual energy consumption data includes:

[0053] The IT equipment energy consumption, the actual cooling energy consumption, and the ratio of the non-IT equipment energy consumption to the IT equipment energy consumption are calculated to obtain the actual energy efficiency of the data center.

[0054] Specifically, the energy consumption of the IT equipment, the actual cooling energy consumption, and the ratio of the energy consumption of the non-IT equipment to the energy consumption of the IT equipment are calculated to obtain the actual energy efficiency of the data center. The specific formula is as follows:

[0055]

[0056] In an optional implementation, the refrigeration operation mode includes a natural cooling mode, a mixed cooling mode, and a forced cooling mode, then, determining the operation time of the data center in different refrigeration operation modes based on the temperature data includes:

[0057] When the ambient wet-bulb temperature is less than or equal to the difference between the indoor temperature requirement and the heat exchange temperature difference rated value, the cooling operation mode of the data center is a natural cooling mode, and a first operation time of the natural cooling mode is obtained;

[0058] When the ambient wet-bulb temperature is greater than the difference between the indoor temperature demand and the rated value of the heat exchange temperature difference, and less than the difference between the indoor temperature demand and the minimum value of the heat exchange temperature difference, the cooling operation mode of the data center is a mixed cooling mode, and a second operation time of the mixed cooling mode is obtained;

[0059] When the ambient wet-bulb temperature is greater than or equal to the difference between the indoor temperature requirement and the minimum heat exchange temperature difference, the cooling operation mode of the data center is a forced cooling mode, and a third operation time of the forced cooling mode is obtained.

[0060] Specifically, the data center benchmark cooling technology adopts different operating modes according to environmental conditions to meet the cooling needs of IT equipment. In general, the operation can be divided into three modes: natural cooling mode, mixed cooling mode and forced cooling mode, which mainly depends on the ambient wet-bulb temperature, the indoor temperature requirements of the data center and the heat exchange temperature difference, among which the heat exchange temperature difference rated value and the heat exchange temperature difference minimum value.

[0061] When the ambient wet-bulb temperature is less than or equal to the difference between the indoor temperature requirement and the heat exchange temperature difference rated value, the water-cooled chiller is turned off, and only the cooling tower is operated. The cooling tower cools water through ambient air and can provide sufficient cooling capacity to meet the cooling demand of the data center. At this time, the cooling operation mode of the data center is a natural cooling mode, and the first operation time of the natural cooling mode is obtained;

[0062] When the ambient wet-bulb temperature is greater than the difference between the indoor temperature demand and the rated value of the heat exchange temperature difference, and less than the difference between the indoor temperature demand and the minimum value of the heat exchange temperature difference, the cooling demand cannot be met by the cooling tower alone. This is because the water temperature from the cooling tower cannot meet the rated temperature difference of the economizer, resulting in reduced heat exchange efficiency of the side water economizer. To restore the required temperature difference, the water-cooled chiller needs to operate at partial load. The water in the IT equipment room is first cooled by the cooling tower and then further cooled by the water-cooled chiller. At this time, the cooling operation mode of the data center is the mixed cooling mode, and the second operation time of the mixed cooling mode is obtained;

[0063] When the ambient wet-bulb temperature is greater than or equal to the difference between the indoor temperature requirement and the minimum heat exchange temperature difference, the ambient wet-bulb temperature is high, and the cooling demand can only be met by a water-cooled chiller. At this time, the water-cooled chiller will operate at full load, and the cooling tower is used as a radiator of the chiller. The cooling operation mode of the data center is a forced cooling mode, and the third operating time of the forced cooling mode is obtained.

[0064] In an optional implementation, the performance parameters include cooling tower power, minimum power of the water cooling unit, and maximum power of the water cooling unit. Then, calculating the baseline cooling energy consumption of the data center according to the operating time and the performance parameters includes:

[0065] The baseline cooling energy consumption of the data center is calculated according to the operating time and the performance parameters. The specific formula is:

[0066]

[0067] Among them, E b represents the benchmark cooling energy consumption, P1 represents the cooling tower power, P 21 Indicates the minimum power of the water cooling unit, P 22 Indicates the maximum power of the water cooling unit, t1 indicates the first operating time, t2 indicates the second operating time, and t3 indicates the third operating time.

[0068] Specifically, the benchmark cooling energy consumption of the data center is calculated according to the first operating time, the second operating time, the third operating time, the cooling tower power, the minimum power of the water cooling unit and the maximum power of the water cooling unit, wherein the minimum power and the maximum power of the water cooling unit depend on the performance parameter COP of the water cooling unit, respectively, which correspond to the lowest and highest COP values, respectively.

[0069] In an optional implementation manner, the calculating the benchmark energy efficiency according to the benchmark cooling energy consumption includes:

[0070] The IT equipment energy consumption, the benchmark cooling energy consumption, and the ratio of the non-IT equipment energy consumption to the IT equipment energy consumption are calculated to obtain a benchmark energy efficiency of the data center.

[0071] Specifically, the IT equipment energy consumption, the benchmark cooling energy consumption, and the ratio of the non-IT equipment energy consumption to the IT equipment energy consumption are calculated to obtain the benchmark energy efficiency of the data center. The specific formula is as follows:

[0072]

[0073] In a second aspect, an embodiment of the present invention provides a data center energy efficiency evaluation device, see Figure 3 , which is a structural schematic diagram of an embodiment of a data center energy efficiency evaluation device provided by the present invention.

[0074] like Figure 3 As shown, the device comprises:

[0075] The data collection module 21 is used to collect the temperature data of the data center, the performance parameters of each energy-consuming device, and the actual energy consumption data within a preset time period;

[0076] An actual energy efficiency calculation module 22, used to calculate the actual energy efficiency of the data center according to the actual energy consumption data;

[0077] A benchmark energy efficiency calculation module 23 is used to determine the operation time of the data center in different cooling operation modes based on the temperature data, calculate the benchmark cooling energy consumption of the data center according to the operation time and the performance parameters, and calculate the benchmark energy efficiency according to the benchmark cooling energy consumption;

[0078] The energy efficiency evaluation module 24 is used to compare the actual energy efficiency with the benchmark energy efficiency to obtain a relative energy efficiency factor, and use the relative energy efficiency factor to complete energy efficiency evaluation.

[0079] In an optional embodiment, the temperature data includes the ambient wet-bulb temperature, the indoor temperature requirement of the data center, the heat exchange temperature difference rated value and the heat exchange temperature difference minimum value; wherein the heat exchange temperature difference minimum value is less than the heat exchange temperature difference rated value.

[0080] In an optional implementation, the energy-consuming equipment includes IT equipment, refrigeration system equipment, and non-IT equipment, and the actual energy consumption data includes IT equipment energy consumption, actual cooling energy consumption, and non-IT equipment energy consumption.

[0081] In an optional implementation, the actual energy efficiency calculation module 22 is further used for:

[0082] The IT equipment energy consumption, the actual cooling energy consumption, and the ratio of the non-IT equipment energy consumption to the IT equipment energy consumption are calculated to obtain the actual energy efficiency of the data center.

[0083] In an optional implementation manner, the refrigeration operation mode includes a natural cooling mode, a mixed cooling mode and a forced cooling mode, then the benchmark energy efficiency calculation module 23 is further used for:

[0084] When the ambient wet-bulb temperature is less than or equal to the difference between the indoor temperature requirement and the heat exchange temperature difference rated value, the cooling operation mode of the data center is a natural cooling mode, and a first operation time of the natural cooling mode is obtained;

[0085] When the ambient wet-bulb temperature is greater than the difference between the indoor temperature demand and the rated value of the heat exchange temperature difference, and less than the difference between the indoor temperature demand and the minimum value of the heat exchange temperature difference, the cooling operation mode of the data center is a mixed cooling mode, and a second operation time of the mixed cooling mode is obtained;

[0086] When the ambient wet-bulb temperature is greater than or equal to the difference between the indoor temperature requirement and the minimum heat exchange temperature difference, the cooling operation mode of the data center is a forced cooling mode, and a third operation time of the forced cooling mode is obtained.

[0087] In an optional implementation, the performance parameters include cooling tower power, minimum water cooling unit power and maximum water cooling unit power, then the benchmark energy efficiency calculation module 23 is further used for:

[0088] The baseline cooling energy consumption of the data center is calculated according to the operating time and the performance parameters. The specific formula is:

[0089]

[0090] Among them, E b represents the benchmark cooling energy consumption, P1 represents the cooling tower power, P 21 Indicates the minimum power of the water cooling unit, P 22 Indicates the maximum power of the water cooling unit, t1 indicates the first operating time, t2 indicates the second operating time, and t3 indicates the third operating time.

[0091] In an optional implementation manner, the benchmark energy efficiency calculation module 23 is further used for:

[0092] The IT equipment energy consumption, the benchmark cooling energy consumption, and the ratio of the non-IT equipment energy consumption to the IT equipment energy consumption are calculated to obtain a benchmark energy efficiency of the data center.

[0093] In a third aspect, an embodiment of the present invention provides an electronic device, see Figure 4, which is a schematic diagram of the structure of an electronic device provided by an embodiment of the present invention.

[0094] like Figure 4 As shown, the device includes:

[0095] A memory 31, used for storing computer programs;

[0096] A processor 32, configured to execute the computer program;

[0097] Wherein, when the processor 32 executes the computer program, the data center energy efficiency evaluation method as described in any of the above embodiments is implemented.

[0098] Exemplarily, the computer program may be divided into one or more modules / units, which are stored in the memory 31 and executed by the processor 32 to implement the present invention. The one or more modules / units may be a series of computer program instruction segments capable of implementing specific functions, which are used to describe the execution process of the computer program in the electronic device.

[0099] The processor 32 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc.

[0100] The memory 31 can be used to store the computer program and / or module, and the processor 32 realizes various functions of the electronic device by running or executing the computer program and / or module stored in the memory 31, and calling the data stored in the memory 31. The memory 31 can mainly include a program storage area and a data storage area, wherein the program storage area can store an operating system, an application required for at least one function (such as a sound playback function, an image playback function, etc.), etc.; the data storage area can store data created according to the use of the mobile phone (such as audio data, a phone book, etc.), etc. In addition, the memory 31 can include a high-speed random access memory, and can also include a non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (SecureDigital, SD) card, a flash card (Flash Card), at least one disk storage device, a flash memory device, or other volatile solid-state storage devices.

[0101] It should be noted that the above electronic device includes, but is not limited to, a processor and a memory. Those skilled in the art can understand that Figure 4 The structural diagram is merely an example of the electronic device described above and does not constitute a limitation on the electronic device, and may include more components than shown in the figure, or a combination of certain components, or different components.

[0102] In a fourth aspect, an embodiment of the present invention further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed, the data center energy efficiency evaluation method described in any of the above embodiments is implemented.

[0103] It should be understood that the present invention can implement all or part of the processes in the above-mentioned data center energy efficiency evaluation method, and can also be completed by instructing related hardware through a computer program. The computer program can be stored in a computer-readable storage medium. When the computer program is executed by a processor, the steps of the above-mentioned data center energy efficiency evaluation method can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, U disk, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signal, telecommunication signal and software distribution medium.

[0104] The above description is only a preferred embodiment of the present invention, but the protection scope of the present invention is not limited thereto. It should be pointed out that for those skilled in the art, several equivalent obvious variations and / or equivalent substitutions can be made without departing from the technical principles of the present invention. These obvious variations and / or equivalent substitutions should also be regarded as the protection scope of the present invention.

Claims

1. A data center energy efficiency evaluation method, characterized in that: include: Collect temperature data of the data center, performance parameters of each energy-consuming device, and actual energy consumption data within a preset time period; Calculate the actual energy efficiency of the data center according to the actual energy consumption data; Determine the operating time of the data center in different cooling operation modes based on the temperature data, calculate the baseline cooling energy consumption of the data center according to the operating time and the performance parameters, and calculate the baseline energy efficiency according to the baseline cooling energy consumption; The actual energy efficiency is compared with the benchmark energy efficiency to obtain a relative energy efficiency factor, and the relative energy efficiency factor is used to complete energy efficiency evaluation.

2. The data center energy efficiency evaluation method according to claim 1, characterized in that: The temperature data includes the ambient wet bulb temperature, the indoor temperature requirement of the data center, the heat exchange temperature difference rated value and the heat exchange temperature difference minimum value; wherein the heat exchange temperature difference minimum value is smaller than the heat exchange temperature difference rated value.

3. The data center energy efficiency evaluation method according to claim 1, characterized in that: The energy-consuming equipment includes IT equipment, refrigeration system equipment, and non-IT equipment, and the actual energy consumption data includes IT equipment energy consumption, actual cooling energy consumption, and non-IT equipment energy consumption.

4. The data center energy efficiency evaluation method according to claim 3, characterized in that: The calculating the actual energy efficiency of the data center according to the actual energy consumption data includes: The IT equipment energy consumption, the actual cooling energy consumption, and the ratio of the non-IT equipment energy consumption to the IT equipment energy consumption are calculated to obtain the actual energy efficiency of the data center.

5. The data center energy efficiency evaluation method according to claim 2, characterized in that: The refrigeration operation mode includes a natural cooling mode, a mixed cooling mode and a forced cooling mode, and the step of determining the operation time of the data center in different refrigeration operation modes based on the temperature data includes: When the ambient wet-bulb temperature is less than or equal to the difference between the indoor temperature requirement and the heat exchange temperature difference rated value, the cooling operation mode of the data center is a natural cooling mode, and a first operation time of the natural cooling mode is obtained; When the ambient wet-bulb temperature is greater than the difference between the indoor temperature demand and the rated value of the heat exchange temperature difference, and less than the difference between the indoor temperature demand and the minimum value of the heat exchange temperature difference, the cooling operation mode of the data center is a mixed cooling mode, and a second operation time of the mixed cooling mode is obtained; When the ambient wet-bulb temperature is greater than or equal to the difference between the indoor temperature requirement and the minimum heat exchange temperature difference, the cooling operation mode of the data center is a forced cooling mode, and a third operation time of the forced cooling mode is obtained.

6. The data center energy efficiency evaluation method according to claim 5, characterized in that: The performance parameters include cooling tower power, minimum water cooling unit power and maximum water cooling unit power. Then, the calculation of the benchmark cooling energy consumption of the data center according to the operating time and the performance parameters includes: The baseline cooling energy consumption of the data center is calculated according to the operating time and the performance parameters. The specific formula is: Among them, E b represents the benchmark cooling energy consumption, P1 represents the cooling tower power, P 21 Indicates the minimum power of the water cooling unit, P 22 Indicates the maximum power of the water cooling unit, t1 indicates the first operating time, t2 indicates the second operating time, and t3 indicates the third operating time.

7. The data center energy efficiency evaluation method according to claim 3, characterized in that: The step of calculating the benchmark energy efficiency according to the benchmark cooling energy consumption includes: The IT equipment energy consumption, the benchmark cooling energy consumption, and the ratio of the non-IT equipment energy consumption to the IT equipment energy consumption are calculated to obtain a benchmark energy efficiency of the data center.

8. A data center energy efficiency evaluation device, characterized in that: include: The data acquisition module is used to collect the temperature data of the data center, the performance parameters of each energy-consuming device, and the actual energy consumption data within a preset time period; An actual energy efficiency calculation module, used to calculate the actual energy efficiency of the data center according to the actual energy consumption data; A benchmark energy efficiency calculation module, used to determine the operating time of the data center under different cooling operation modes based on the temperature data, calculate the benchmark cooling energy consumption of the data center according to the operating time and the performance parameters, and calculate the benchmark energy efficiency according to the benchmark cooling energy consumption; The energy efficiency evaluation module is used to compare the actual energy efficiency with the benchmark energy efficiency to obtain a relative energy efficiency factor, and use the relative energy efficiency factor to complete energy efficiency evaluation.

9. An electronic device, characterized in that: include: Memory for storing computer programs; A processor, configured to execute the computer program; Wherein, when the processor executes the computer program, the data center energy efficiency evaluation method as described in any one of claims 1 to 7 is implemented.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed, the data center energy efficiency evaluation method according to any one of claims 1 to 7 is implemented.

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