Water source use efficiency evaluation method and device of data center, electronic equipment, storage medium and computer product

Abstract

The invention relates to the technical field of computers, and provides a data center water source use efficiency evaluation method and device, electronic equipment, a storage medium and a computer product.The method comprises the steps that according to hourly dry-bulb temperature information of air in an area where a to-be-evaluated data center is located, a loss coefficient of evaporation lost water amount of the to-be-evaluated data center is determined; based on the loss coefficient, the circulating water volume of the cooling tower of the to-be-evaluated data center in the unit time and the temperature difference of cooling water entering and exiting the cooling tower in the cooling tower, determining the evaporation loss water volume of the cooling tower in the unit time; and determining the water source use efficiency of the to-be-evaluated data center by taking the supplementary water quantity, determined based on the evaporation loss water quantity, of the cooling tower in the unit time as the cooling water consumption and combining the total power consumption of each piece of information technology equipment in the to-be-evaluated data center in the unit time, the domestic water consumption in the unit time and the water consumption of the humidifying system in the unit time. The accuracy of the evaluation value of the water source use efficiency of the data center can be improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of computer, and particularly relates to a water source usage efficiency evaluation method and device of a data center, an electronic device, a storage medium and a computer product. BACKGROUND

[0002] The data center belongs to a key construction block, and the energy consumption of the data center is often high, so the water source usage efficiency (WUE) and the power usage efficiency (PUE) will be focused on and strictly controlled. In the traditional data center design calculation, when the designer calculates the water source usage efficiency of the data center, the water consumption is valued at 1% to 2% of the cooling circulating water volume.

[0003] However, the evaluation result of the water source usage efficiency obtained by this calculation method is often larger than the actual value, so that the evaluation accuracy of the water source usage efficiency of the data center in the design calculation is low, and it is difficult to meet the requirements of the relevant specifications. SUMMARY

[0004] The present application aims to at least solve one of the technical problems in the related art. To this end, the present application provides a water source usage efficiency evaluation method and device of a data center, an electronic device, a storage medium and a computer product, to solve the problem that the evaluation result of the current water source usage efficiency is larger than the actual value, thereby improving the evaluation accuracy of the water source usage efficiency of the data center.

[0005] The water source usage efficiency evaluation method of the data center according to the first aspect of the present application comprises: determining a loss coefficient of the evaporation loss water volume of the data center to be evaluated based on the hourly dry-bulb temperature information of the air in the region where the data center to be evaluated is located; determining the evaporation loss water volume of the cooling tower in unit time based on the loss coefficient, the circulating water volume of the cooling tower in unit time and the temperature difference between the inlet and outlet of the cooling water in the cooling tower; determining the supplementary water volume of the cooling tower in unit time based on the evaporation loss water volume; determining the water source usage efficiency of the data center to be evaluated in unit time by taking the supplementary water volume of the cooling tower in unit time as the cooling water consumption, combining the total power consumption of each information technology equipment in the data center to be evaluated in unit time, the domestic water volume corresponding to the data center to be evaluated in unit time and the water consumption of the humidification system in the data center to be evaluated in unit time.

[0006] According to one embodiment of the present application, the replenishment water amount of the cooling tower per unit time is determined based on the evaporation loss water amount, including: multiplying the evaporation loss water amount by a preset concentration multiple to obtain a first result; the preset concentration multiple is used to reflect the water saving capability of the circulating water system; adding the preset concentration multiple and a preset threshold to obtain a second result; performing a ratio operation on the first result and the second result, and determining the ratio operation result as the replenishment water amount of the cooling tower per unit time.

[0007] According to one embodiment of the present application, the evaporation loss water amount of the cooling tower per unit time is determined based on the loss coefficient, the circulating water amount of the cooling tower of the data center to be evaluated per unit time, and the temperature difference between the inlet and outlet of the cooling water in the cooling tower, including: multiplying the loss coefficient and the circulating water amount of the cooling tower of the data center to be evaluated per unit time to obtain a first product; multiplying the first product and the temperature difference between the inlet and outlet of the cooling water in the cooling tower, and taking the obtained second product as the evaporation loss water amount of the cooling tower per unit time.

[0008] According to one embodiment of the present application, the loss coefficient of the evaporation loss water amount of the data center to be evaluated is determined according to the hourly dry-bulb temperature information of the air in the region where the data center to be evaluated is located, including: comparing each dry-bulb temperature in the hourly dry-bulb temperature information of the air in the region where the data center to be evaluated is located to obtain a comparison result; determining a target dry-bulb temperature from each dry-bulb temperature in the hourly dry-bulb temperature information according to the comparison result; determining the loss coefficient of the evaporation loss water amount of the data center to be evaluated from a plurality of preset loss coefficients according to the target dry-bulb temperature.

[0009] According to one embodiment of the present application, the loss coefficient of the evaporation loss water amount of the data center to be evaluated is determined from a plurality of preset loss coefficients according to the target dry-bulb temperature, including: determining a correlation between the loss coefficient and the dry-bulb temperature; determining the loss coefficient of the evaporation loss water amount of the data center to be evaluated from a plurality of preset loss coefficients according to the target dry-bulb temperature and the correlation.

[0010] According to one embodiment of the present application, the water supplement amount of the cooling tower in a unit time is taken as the cooling water consumption, and the water source use efficiency of the data center to be evaluated in a unit time is determined by combining the total power consumption of each information technology device in the data center to be evaluated in a unit time, the domestic water consumption of the data center to be evaluated in a unit time, and the water consumption of the humidification system in the data center to be evaluated in a unit time, including: The water supplement amount of the cooling tower in a unit time is taken as the cooling water consumption, and the domestic water consumption of the data center to be evaluated in a unit time and the water consumption of the humidification system in the data center to be evaluated in a unit time are added to obtain an addition result; The addition result is subjected to a ratio operation with the total power consumption of each information technology device in the data center to be evaluated in a unit time, and the ratio operation result is determined as the water source use efficiency of the data center to be evaluated in a unit time.

[0011] According to the data center water source use efficiency evaluation device of the second aspect of the present application, including: The first determination module is configured to determine the loss coefficient of the evaporation loss water amount of the data center to be evaluated according to the hourly dry-bulb temperature information of the air in the region where the data center to be evaluated is located. The second determination module is configured to determine the evaporation loss water amount of the cooling tower in a unit time based on the loss coefficient, the circulating water amount of the cooling tower of the data center to be evaluated in a unit time, and the temperature difference between the inlet and outlet of the cooling water in the cooling tower. The third determination module is configured to determine the water supplement amount of the cooling tower in a unit time based on the evaporation loss water amount. The fourth determination module is configured to determine the water source use efficiency of the data center to be evaluated in a unit time by taking the water supplement amount of the cooling tower in a unit time as the cooling water consumption, combining the total power consumption of each information technology device in the data center to be evaluated in a unit time, the domestic water consumption of the data center to be evaluated in a unit time, and the water consumption of the humidification system in the data center to be evaluated in a unit time.

[0012] According to the electronic device of the third aspect of the present application, the electronic device includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor executes the computer program to implement the data center water source use efficiency evaluation method of any one of the above.

[0013] The storage medium according to the fourth aspect of the present application is a non-transitory computer-readable storage medium, and a computer program is stored on the storage medium. The computer program is executed by a processor to implement the water source use efficiency evaluation method of the data center according to any one of the above aspects.

[0014] The computer program product according to the fifth aspect of the present application comprises a computer program. The computer program is executed by a processor to implement the water source use efficiency evaluation method of the data center according to any one of the above aspects.

[0015] The one or more technical solutions described above in the embodiments of the present application have at least the following technical effects: Since the loss coefficient of the evaporative loss water quantity of the data center to be evaluated is determined according to the hourly dry-bulb temperature information of the air in the region where the data center to be evaluated is located, the evaporative loss water quantity of the cooling tower of the data center to be evaluated in a unit time can be accurately determined based on the loss coefficient, the circulating water quantity of the cooling tower in a unit time, and the temperature difference between the inlet and outlet of the cooling water in the cooling tower. Furthermore, the replenishment water quantity of the cooling tower in a unit time can be accurately determined based on the evaporative loss water quantity. Therefore, by taking the replenishment water quantity of the cooling tower in a unit time as the cooling water consumption, and combining the total power consumption of each information technology device in the data center to be evaluated in a unit time, the domestic water quantity of the data center to be evaluated in a unit time, and the water consumption of the humidification system in the data center to be evaluated in a unit time, the water source use efficiency of the data center to be evaluated in a unit time can be accurately determined, and the problem that the evaluation result of the water source use efficiency is larger than the actual value can be avoided, and the evaluation accuracy of the water source use efficiency of the data center is improved.

[0016] Additional aspects and advantages of the present application will be in part apparent and in part pointed out hereinafter. BRIEF DESCRIPTION OF DRAWINGS

[0017] In order to more clearly illustrate the technical solutions of the present application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiments or the prior art description. Obviously, the drawings in the following description are some embodiments of the present application, and other drawings can also be obtained by those skilled in the art without creative labor.

[0018] Figure 1 is a flowchart of the water source use efficiency evaluation method of the data center provided by the embodiments of the present application.

[0019] Figure 2 is a structural schematic diagram of an electronic device provided by the present application. DETAILED DESCRIPTION

[0020] The embodiments of the present application will be further described in details below with reference to the drawings and embodiments. The following embodiments are used to illustrate the present application, but cannot be used to limit the scope of the present application.

[0021] In the description of the embodiments of the present application, it should be noted that the terms "center", "longitudinal", "lateral", "upper", "lower", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer" and the like indicate the orientation or positional relationship based on the orientation or positional relationship shown in the drawings, and are only used to facilitate the description of the embodiments of the present application and simplify the description, and therefore cannot be understood as indicating or implying that the device or element referred to must have a particular orientation, be constructed and operated in a particular orientation, and therefore cannot be understood as limiting the embodiments of the present application. In addition, the terms "first", "second", "third" are only for descriptive purposes, and cannot be understood as indicating or implying relative importance.

[0022] In the description of the embodiments of the present application, it should be noted that unless otherwise explicitly specified and limited, the terms "connected", "connected" should be understood broadly, for example, it can be fixedly connected, or it can be detachably connected, or it can be integrally connected; it can be mechanically connected, or it can be electrically connected; it can be directly connected, or it can be indirectly connected through an intermediate medium. For those skilled in the art, the specific meaning of the above terms in the embodiments of the present application can be understood according to the specific circumstances.

[0023] In the embodiments of the present application, unless otherwise explicitly specified and limited, the first feature is "on" or "under" the second feature, which can be that the first and second features are in direct contact, or the first and second features are in indirect contact through an intermediate medium. Moreover, the first feature "above", "above" and "above" the second feature can be that the first feature is directly above or obliquely above the second feature, or only indicates that the horizontal height of the first feature is higher than that of the second feature. The first feature "below", "below" and "below" the second feature can be that the first feature is directly below or obliquely below the second feature, or only indicates that the horizontal height of the first feature is less than that of the second feature.

[0024] In the description of the present specification, the description referring to the terms "one embodiment", "some embodiments", "an example", "a specific example" or "some examples" and the like means that the specific features, structures, materials or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the embodiments of the present application. In the present specification, the illustrative description of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any appropriate manner in any one or more embodiments or examples. In addition, the person skilled in the art can combine and combine the different embodiments or examples described in the present specification and the features of the different embodiments or examples without contradiction.

[0025] The present application provides a water source use efficiency evaluation method, device, electronic equipment, storage medium and computer product of a data center.

[0026] Figure 1 is a flowchart of a water source use efficiency evaluation method of a data center provided by the embodiments of the present application, as Figure 1 shown, the water source use efficiency evaluation method of the data center comprises: Step 110, according to the hourly dry-bulb temperature information of the air in the region where the data center to be evaluated is located, determine the loss coefficient of the evaporation loss water quantity of the data center to be evaluated.

[0027] Step 120, based on the loss coefficient, the circulating water quantity of the cooling tower of the data center to be evaluated in unit time and the temperature difference between the inlet and outlet of the cooling water in the cooling tower, determine the evaporation loss water quantity of the cooling tower in unit time.

[0028] Step 130, based on the evaporation loss water quantity, determine the supplementary water quantity of the cooling tower in unit time.

[0029] Step 140, take the supplementary water quantity of the cooling tower in unit time as the cooling water consumption, combine the total power consumption of each information technology equipment in the data center to be evaluated in unit time, the domestic water quantity corresponding to the data center to be evaluated in unit time and the water consumption of the humidification system in the data center to be evaluated in unit time, determine the water source use efficiency of the data center to be evaluated in unit time.

[0030] It should be noted that the execution subject of the water source use efficiency evaluation method of the data center provided in the embodiments of the present application can be a computer device, which can be, for example, a mobile phone, a tablet computer, a notebook computer, a palm computer, a vehicle-mounted electronic device, a wearable device, an Ultra-mobile Personal Computer (UMPC), a netbook, or a Personal Digital Assistant (PDA), etc. In the present application, all data required to be used are obtained legally after authorization.

[0031] The computer device of the present application can be provided with or connected to the water source use efficiency evaluation device of the data center, so that the water source use efficiency evaluation device of the data center can be controlled to execute the water source use efficiency evaluation method of the data center of the present application.

[0032] It should be noted that the unit time in the present application can be, for example, a year, a month, a day, etc.

[0033] Specifically, in the present application, the data center that needs to be evaluated for water source use efficiency can be regarded as a data center to be evaluated.

[0034] Further, in the present application, the typical hourly meteorological parameters of the region where the data center to be evaluated is located can be obtained. When the unit time is a year, the local typical annual hourly meteorological data of the data center to be evaluated can be obtained, so as to determine the cooling water consumption of the data center to be evaluated in one year based on the meteorological data.

[0035] The Typical Meteorological Year (TMY) refers to a combination of various hourly meteorological elements of local climate characteristics. It consists of 12 typical months with climate characteristics, and the selection of the typical months takes into account the weight of each meteorological element in thermal environment analysis. The months closest to the 30-year average are selected, so that they are more consistent with the local meteorological conditions in related analysis.

[0036] Therefore, the hourly dry-bulb temperature information of the air in the region where the data center to be evaluated is located can include the dry-bulb temperature of the air at each hour of each day in a year. The dry-bulb temperature of the air at any hour of each day can be, for example, the average value of the dry-bulb temperature of the air at the corresponding time in the last 30 years. For example, the dry-bulb temperature of the air at 12:00 on January 1 can be the average value of the dry-bulb temperature of the air at 12:00 on January 1 in the last 30 years.

[0037] It should be noted that the hourly dry-bulb temperature information of the air in the region where the data center to be evaluated is located can be obtained by querying and calculating from a local meteorological station or a meteorological data website.

[0038] Furthermore, an optimal dry-bulb temperature can be determined from the hourly dry-bulb temperature information, and based on this dry-bulb temperature and a pre-set correlation, a loss coefficient can be determined from multiple loss coefficients of evaporation loss, which will then be used as the loss coefficient of evaporation loss for the data center to be evaluated.

[0039] Furthermore, this application can determine the circulating water volume of the cooling tower of the data center to be evaluated per unit time and the temperature difference between the inlet and outlet of the cooling water in the cooling tower. For example, the circulating water volume of the cooling tower of the data center to be evaluated over a year can be determined (e.g., 3800 cubic meters). It also obtains the inlet and outlet temperatures of the cooling water in the cooling tower of the data center to be evaluated, and determines the inlet and outlet temperature difference based on the inlet and outlet temperatures (e.g., calculated to be 6 degrees Celsius).

[0040] Therefore, the evaporation loss of the cooling tower per unit time can be further determined based on the loss coefficient of the evaporation loss of the data center to be evaluated, the circulating water volume of its cooling tower per unit time, and the temperature difference between the inlet and outlet of the cooling water in the cooling tower.

[0041] After obtaining the amount of water lost through evaporation, this application can further combine it with the concentration factor, which reflects the water-saving capacity of the circulating water system, to determine the amount of water to be replenished to the cooling tower per unit time.

[0042] Understandably, the amount of water supplied to a cooling tower is the same as the amount of water lost from the cooling tower, and the water loss of a cooling tower includes evaporation loss, windage loss, and blowdown loss. Therefore, the amount of water lost from a cooling tower... It can be the sum of water loss due to evaporation, water loss due to wind, and water loss due to sewage discharge, that is: ; in, Indicates the amount of water lost through evaporation; Q w Indicates the amount of water lost due to wind (m³) 3 / h); Q b Indicates the amount of water lost due to sewage discharge (m³) 3 / h).

[0043] Water loss due to wind refers to the amount of water lost due to airflow, including water lost through splashing and mist. The calculation method is as follows: ; Where: w represents the wind loss rate (for example, it can be 0.0005%); Q w Indicates the amount of water lost due to wind (m³) 3 / h); Q R Indicates circulating water volume (m³) 3 / h).

[0044] Further, the blowdown loss water quantity can be calculated in the following way: .

[0045] After obtaining the make-up water quantity of the cooling tower per unit time, the make-up water quantity of the cooling tower per unit time can be further taken as the cooling water consumption, combined with the total power consumption of each information technology equipment in the data center per unit time, the domestic water consumption of the data center per unit time, and the water consumption of the humidification system in the data center per unit time, to determine the water source utilization efficiency of the data center per unit time through relevant calculation methods. The information technology equipment can include, but is not limited to, computer equipment, network equipment, communication equipment, storage equipment, security equipment, and the like.

[0046] The water consumption of the humidification system in the data center per unit time, that is, the water consumption of the humidification system in the data center per unit time for humidification and make-up water.

[0047] The domestic water consumption of the data center per unit time can include monitoring water, ordinary office water, dormitory water, and the like.

[0048] Further, the water source utilization efficiency can be used to optimize the water supply strategy (such as recycling rainwater and using reclaimed water) and reduce operating costs.

[0049] Compared with the traditional way of roughly calculating the water consumption by 1-2% of the circulating water quantity, the present application can obtain more accurate water consumption data and further obtain more accurate water source utilization efficiency through the evaluation of the make-up water quantity of the cooling tower.

[0050] According to the water source utilization efficiency evaluation method of the data center, the loss coefficient of the evaporation loss water quantity of the data center is determined according to the hourly dry-bulb temperature information of the air in the region where the data center is located, so that the evaporation loss water quantity of the cooling tower per unit time can be accurately determined based on the loss coefficient, the circulating water quantity of the cooling tower per unit time, and the temperature difference between the inlet and outlet of the cooling water in the cooling tower. Further, based on the evaporation loss water quantity, the make-up water quantity of the cooling tower per unit time can be accurately determined. Thus, by taking the make-up water quantity of the cooling tower per unit time as the cooling water consumption, combined with the total power consumption of each information technology equipment in the data center per unit time, the domestic water consumption of the data center per unit time, and the water consumption of the humidification system in the data center per unit time, the water source utilization efficiency of the data center per unit time can be accurately determined, which can avoid the problem that the evaluation result of the water source utilization efficiency is larger than the actual value, and improve the accuracy of the evaluation value of the water source utilization efficiency of the data center.

[0051] In one embodiment, the loss coefficient of the evaporative loss water quantity of the data center to be evaluated is determined according to the hourly dry-bulb temperature information of the air in the region where the data center to be evaluated is located, comprising: comparing each dry-bulb temperature in the hourly dry-bulb temperature information of the air in the region where the data center to be evaluated is located to obtain a comparison result; determining a target dry-bulb temperature from each dry-bulb temperature in the hourly dry-bulb temperature information according to the comparison result; determining the loss coefficient of the evaporative loss water quantity of the data center to be evaluated from a plurality of preset loss coefficients according to the target dry-bulb temperature.

[0052] Specifically, the present application can select an extreme value from the hourly dry-bulb temperature information as the target dry-bulb temperature.

[0053] More specifically, each dry-bulb temperature in the hourly dry-bulb temperature information of the air in the region where the data center to be evaluated is located can be compared numerically to determine the size relationship between the dry-bulb temperatures, and the size relationship obtained is taken as the comparison result.

[0054] Further, in the present application, the dry-bulb temperature with the largest numerical value among all the dry-bulb temperatures in the hourly dry-bulb temperature information can be determined as the target dry-bulb temperature according to the comparison result.

[0055] For example, if the hourly dry-bulb temperature information includes dry-bulb temperatures of 0.7℃, -1℃, 12.7℃, 6.8℃, 30℃ and 40℃, etc., 40℃ among them is determined as the target dry-bulb temperature.

[0056] After obtaining the target dry-bulb temperature, the loss coefficient of the evaporative loss water quantity of the data center to be evaluated can be determined from a plurality of preset loss coefficients according to the target dry-bulb temperature in combination with the preset correlation between the dry-bulb temperature and the loss coefficient.

[0057] The application can accurately determine the loss coefficient of the evaporation loss water quantity of the data center to be evaluated according to the hourly dry-bulb temperature information of the air in the region where the data center to be evaluated is located, so that the subsequent evaporation loss water quantity of the cooling tower of the data center to be evaluated in unit time can be accurately determined based on the loss coefficient, the circulating water quantity of the cooling tower of the data center to be evaluated in unit time, and the temperature difference between the inlet and outlet of the cooling water in the cooling tower. Further, based on the evaporation loss water quantity, the supplementary water quantity of the cooling tower in unit time can be accurately determined. Therefore, the supplementary water quantity of the cooling tower in unit time is taken as the cooling water consumption, and the water source use efficiency of the data center to be evaluated in unit time can be accurately determined by combining the total power consumption of each information technology equipment in the data center to be evaluated in unit time, the domestic water quantity of the data center to be evaluated in unit time, and the water consumption of the humidification system in the data center to be evaluated in unit time, which can avoid the problem that the evaluation result of the water source use efficiency is larger than the actual value, and improve the accuracy of the evaluation value of the water source use efficiency of the data center.

[0058] In one embodiment, the loss coefficient of the evaporation loss water quantity of the data center to be evaluated is determined from a plurality of preset loss coefficients according to the target dry-bulb temperature, comprising: determining the correlation between the loss coefficient and the dry-bulb temperature; determining the loss coefficient of the evaporation loss water quantity of the data center to be evaluated from a plurality of preset loss coefficients according to the target dry-bulb temperature and the correlation.

[0059] Specifically, the correlation between the loss function of the evaporation loss water quantity and the dry-bulb temperature of the air can be preset in the application, for example, as shown in Table 1: Table 1

[0060] Wherein, when the dry-bulb air temperature is less than -10℃, C takes 0.0008; when the dry-bulb air temperature is greater than or equal to 40℃, C takes 0.0016.

[0061] When the dry-bulb air temperature is greater than or equal to -10℃ and less than 40℃, the interpolation method is used to determine the value of C under this temperature condition.

[0062] Therefore, the correlation between the loss coefficient and the dry-bulb temperature can be determined.

[0063] Further, the loss coefficient of the evaporation loss water quantity of the data center to be evaluated can be determined from a plurality of preset loss coefficients according to the target dry-bulb temperature and the correlation. For example, if the target dry-bulb temperature is 40℃, 0.0016 in the loss coefficient C can be determined as the loss coefficient of the evaporation loss water quantity of the data center to be evaluated.

[0064] The application can accurately determine the loss coefficient of the evaporative loss water quantity of the to-be-evaluated data center according to the target dry-bulb temperature and the correlation between the loss coefficient and the dry-bulb temperature, so that the evaporative loss water quantity of the cooling tower in a unit time can be accurately determined based on the loss coefficient, the circulating water quantity of the cooling tower of the to-be-evaluated data center in a unit time, and the temperature difference between the inlet and outlet of the cooling water in the cooling tower in a unit time. Then, based on the evaporative loss water quantity, the supplementary water quantity of the cooling tower in a unit time can be accurately determined. Thus, the supplementary water quantity of the cooling tower in a unit time is taken as the cooling water consumption, and the water source use efficiency of the to-be-evaluated data center in a unit time can be accurately determined based on the total power consumption of each information technology equipment in the to-be-evaluated data center in a unit time, the domestic water quantity of the to-be-evaluated data center in a unit time, and the water consumption of the humidification system in the to-be-evaluated data center in a unit time, which can avoid the problem that the evaluation result of the water source use efficiency is larger than the actual value and improve the accuracy of the evaluation value of the water source use efficiency of the data center.

[0065] In one embodiment, the evaporative loss water quantity of the cooling tower in a unit time is determined based on the loss coefficient, the circulating water quantity of the cooling tower of the to-be-evaluated data center in a unit time, and the temperature difference between the inlet and outlet of the cooling water in the cooling tower, and the method comprises the following steps. The loss coefficient is multiplied by the circulating water quantity of the cooling tower of the to-be-evaluated data center in a unit time to obtain a first product. The first product is multiplied by the temperature difference between the inlet and outlet of the cooling water in the cooling tower, and a second product obtained is taken as the evaporative loss water quantity of the cooling tower in a unit time.

[0066] Specifically, after the loss coefficient of the evaporative loss water quantity of the to-be-evaluated data center is obtained, the loss coefficient is multiplied by the circulating water quantity of the cooling tower of the to-be-evaluated data center in a unit time to obtain a first product.

[0067] The first product is multiplied by the temperature difference between the inlet and outlet of the cooling water in the cooling tower, and a second product obtained is taken as the evaporative loss water quantity of the cooling tower in a unit time. .

[0068] Specifically, the calculation of the evaporative loss water quantity can be achieved by the following method: ; Wherein, Q R represents the circulating water quantity (m 3 / h*correlation duration); T1 and T2 represent the inlet temperature and outlet temperature of the cooling water (℃) respectively; and C represents the loss coefficient (1 / ℃).

[0069] The application can accurately determine the evaporation loss water quantity of the cooling tower in a unit time based on the loss coefficient, the circulating water quantity of the cooling tower of the data center to be evaluated in a unit time, and the temperature difference between the inlet and outlet of the cooling water in the cooling tower, so that the supplementary water quantity of the cooling tower in a unit time can be accurately determined based on the evaporation loss water quantity. Thus, the supplementary water quantity of the cooling tower in a unit time is taken as the cooling water consumption, and the water source use efficiency of the data center to be evaluated in a unit time can be accurately determined by combining the total power consumption of each information technology equipment in the data center to be evaluated in a unit time, the domestic water quantity of the data center corresponding to a unit time, and the water consumption of the humidification system in the data center to be evaluated in a unit time, which can avoid the problem that the evaluation result of the water source use efficiency is larger than the actual value and improve the accuracy of the evaluation value of the water source use efficiency of the data center.

[0070] In one embodiment, based on the evaporation loss water quantity, the supplementary water quantity of the cooling tower in a unit time is determined, including: multiplying the evaporation loss water quantity by a preset concentration multiple to obtain a first result; the preset concentration multiple is used to reflect the water saving ability of the circulating water system; adding the preset concentration multiple and a preset threshold value to obtain a second result; performing a ratio operation on the first result and the second result, and determining the ratio operation result as the supplementary water quantity of the cooling tower in a unit time.

[0071] Specifically, the application can first determine the preset concentration multiple. The ratio of the salt content of the circulating cooling water to the supplementary water is called the concentration multiple, which reflects the water saving ability of the circulating water system.

[0072] In the application, the concentration multiple can be determined by the following method: ; wherein N represents the concentration multiple; C r represents the salt content (mg / L) of the circulating cooling water; C m represents the salt content (mg / L) of the supplementary water.

[0073] Therefore, the concentration multiple should be determined according to the circulating water quality requirement and the supplementary water quality. In actual operation, the ratio of the chloride ion or potassium ion concentration is used to control the N value. Under the premise of meeting the water quality requirement, increasing the concentration multiple can reduce the supplementary water quantity, but when the concentration multiple exceeds 5, the rate of reduction of the supplementary water quantity will become smaller and smaller. Therefore, the N value is generally 2-3, and does not exceed 5-6. In the application, the concentration multiple is set by the designer according to the actual situation.

[0074] Further, the evaporation loss water quantity can be multiplied by the preset concentration multiple to obtain a first result; the preset concentration multiple is further added to a preset threshold (which can be 1 in the present application) to obtain a second result; finally, the first result and the second result are subjected to ratio operation, and the ratio operation result is determined as the replenishment water quantity of the cooling tower in unit time .

[0075] More specifically, the calculation can be realized as follows: ; wherein Q e represents the evaporation loss water quantity (m 3 / h), and N represents the preset concentration multiple.

[0076] Further, when the unit time is a month, the application can also automatically generate a monthly hourly water replenishment quantity line graph according to the obtained replenishment water quantity, to intuitively reflect the hourly water replenishment quantity change. In addition, if the hourly replenishment water quantity is determined as the hourly water consumption quantity, the calculated hourly water consumption quantity can also be counted to obtain important design results such as the maximum hourly water consumption quantity, annual water consumption quantity, and A-level machine room pool volume.

[0077] Based on the evaporation loss water quantity, the application can accurately determine the replenishment water quantity of the cooling tower in unit time, so that the replenishment water quantity of the cooling tower in unit time is used as the cooling water consumption quantity, and the total power consumption of each information technology equipment in the data center to be evaluated in unit time, the domestic water quantity in unit time corresponding to the data center to be evaluated, and the water consumption quantity of the humidification system in the data center to be evaluated in unit time are combined, so that the water source use efficiency of the data center to be evaluated in unit time can be accurately determined, which can avoid the problem that the evaluation result of the water source use efficiency is larger than the actual value, and improve the accuracy of the evaluation value of the water source use efficiency of the data center.

[0078] Based on the above embodiment, the replenishment water quantity of the cooling tower in unit time is used as the cooling water consumption quantity, and the total power consumption of each information technology equipment in the data center to be evaluated in unit time, the domestic water quantity in unit time corresponding to the data center to be evaluated, and the water consumption quantity of the humidification system in the data center to be evaluated in unit time are combined to determine the water source use efficiency of the data center to be evaluated in unit time, including: The replenishment water quantity of the cooling tower in unit time is used as the cooling water consumption quantity, and the domestic water quantity in unit time corresponding to the data center to be evaluated and the water consumption quantity of the humidification system in the data center to be evaluated in unit time are added to obtain an addition result; The addition result is subjected to ratio operation with the total power consumption of each information technology equipment in the data center to be evaluated in unit time, and the ratio operation result is determined as the water source use efficiency of the data center to be evaluated in unit time.

[0079] Specifically, the present application can determine the total power consumption of each information technology (IT) device in the data center to be evaluated per unit time, the domestic water consumption of the data center to be evaluated per unit time, and the water consumption of the humidification system in the data center to be evaluated per unit time, respectively.

[0080] For example, the total power consumption of each information technology (IT) device in the data center to be evaluated in the past year, the domestic water consumption of the data center to be evaluated in the past year, and the water consumption of the humidification system in the data center to be evaluated in the past year can be determined by relevant collection devices (such as electricity meters, water meters, etc.).

[0081] Further, the make-up water of the cooling tower per unit time can be taken as the cooling water consumption, and the domestic water consumption of the data center to be evaluated per unit time and the water consumption of the humidification system in the data center to be evaluated per unit time can be added to obtain an addition result.

[0082] Further, the addition result can be ratioed with the total power consumption of each information technology device in the data center to be evaluated per unit time, and the ratio result can be determined as the water source use efficiency of the data center to be evaluated per unit time. .

[0083] More specifically, the calculation can be realized as follows: ; Wherein, W represents the annual power consumption of the IT device (kW / h); Q A represents the domestic water consumption (m 3 / h); Q B represents the annual water consumption of the humidification system (m 3 / h).

[0084] The present application takes the make-up water of the cooling tower per unit time as the cooling water consumption, and combines the total power consumption of each information technology device in the data center to be evaluated per unit time, the domestic water consumption of the data center to be evaluated per unit time, and the water consumption of the humidification system in the data center to be evaluated per unit time, so that the water source use efficiency of the data center to be evaluated per unit time can be accurately determined, and the problem that the evaluation result of the water source use efficiency is larger than the actual value can be avoided, and the accuracy of the evaluation value of the water source use efficiency of the data center can be improved.

[0085] In one embodiment, the present application can be realized by office tools (such as Excel software, an electronic spreadsheet software) or other tools to conveniently and quickly execute the above-mentioned water source use efficiency evaluation method of the data center.

[0086] The water source use efficiency evaluation device of the data center provided in the present application is described below, and the water source use efficiency evaluation device described below can be correspondingly referred to the water source use efficiency evaluation method described above.

[0087] Further, the present application also provides a water source use efficiency evaluation device of a data center.

[0088] The water source use efficiency evaluation device of the data center comprises: A first determining module configured to determine a loss coefficient of an evaporative loss water quantity of a data center to be evaluated according to hourly dry-bulb temperature information of air in a region where the data center to be evaluated is located; A second determining module configured to determine an evaporative loss water quantity of a cooling tower of the data center to be evaluated in a unit time based on the loss coefficient, a circulating water quantity of the cooling tower of the data center to be evaluated in the unit time, and an in-out tower temperature difference of cooling water in the cooling tower; A third determining module configured to determine a replenishment water quantity of the cooling tower in the unit time based on the evaporative loss water quantity; A fourth determining module configured to determine a water source use efficiency of the data center to be evaluated in the unit time by taking the replenishment water quantity of the cooling tower in the unit time as a cooling water consumption quantity, and combining a total power consumption quantity of each information technology device in the data center to be evaluated in the unit time, a domestic water quantity corresponding to the data center to be evaluated in the unit time, and a water consumption quantity of a humidification system in the data center to be evaluated in the unit time.

[0089] The water source use efficiency evaluation device of the data center of the present application can determine the loss coefficient of the evaporative loss water quantity of the data center to be evaluated according to the hourly dry-bulb temperature information of the air in the region where the data center to be evaluated is located, so that the evaporative loss water quantity of the cooling tower of the data center to be evaluated in the unit time can be accurately determined based on the loss coefficient, the circulating water quantity of the cooling tower of the data center to be evaluated in the unit time, and the in-out tower temperature difference of the cooling water in the cooling tower. Furthermore, the replenishment water quantity of the cooling tower in the unit time can be accurately determined based on the evaporative loss water quantity. Thus, by taking the replenishment water quantity of the cooling tower in the unit time as the cooling water consumption quantity, and combining the total power consumption quantity of each information technology device in the data center to be evaluated in the unit time, the domestic water quantity corresponding to the data center to be evaluated in the unit time, and the water consumption quantity of the humidification system in the data center to be evaluated in the unit time, the water source use efficiency of the data center to be evaluated in the unit time can be accurately determined, so that the problem that the evaluation result of the water source use efficiency is larger than the actual value can be avoided, and the evaluation value accuracy of the water source use efficiency of the data center can be improved.

[0090] In one embodiment, the first determining module is specifically configured to: The comparison result is obtained by comparing each dry-bulb temperature in the hourly dry-bulb temperature information of air in a region where the data center to be evaluated is located; A target dry-bulb temperature is determined from each dry-bulb temperature in the hourly dry-bulb temperature information according to the comparison result; A loss coefficient of evaporative loss water quantity of the data center to be evaluated is determined from a plurality of preset loss coefficients according to the target dry-bulb temperature.

[0091] In one embodiment, the first determining module is further configured to: determine a correlation between the loss coefficient and the dry-bulb temperature; determine the loss coefficient of the evaporative loss water quantity of the data center to be evaluated from a plurality of preset loss coefficients according to the target dry-bulb temperature and the correlation.

[0092] In one embodiment, the second determining module is specifically configured to: multiply the loss coefficient by a circulating water quantity of a cooling tower of the data center to be evaluated per unit time to obtain a first product; multiply the first product by a difference between inlet and outlet tower temperatures of cooling water in the cooling tower, and take a second product obtained as the evaporative loss water quantity of the cooling tower per unit time.

[0093] In one embodiment, the third determining module is specifically configured to: multiply the evaporative loss water quantity by a preset concentration multiple to obtain a first result; the preset concentration multiple is used to reflect water-saving capability of a circulating water system; add the preset concentration multiple and a preset threshold value to obtain a second result; perform a ratio operation on the first result and the second result, and determine a ratio operation result as the supplementary water quantity of the cooling tower per unit time.

[0094] In one embodiment, the fourth determining module is specifically configured to: add the supplementary water quantity of the cooling tower per unit time to a life water quantity per unit time corresponding to the data center to be evaluated and a water consumption quantity per unit time of a humidification system in the data center to be evaluated to obtain a sum result; perform a ratio operation on the sum result and a total power consumption per unit time of each information technology device in the data center to be evaluated, and determine a ratio operation result as a water source use efficiency per unit time of the data center to be evaluated.

[0095] Figure 2 An example of an entity structure diagram of an electronic device is shown in FIG. 1. Figure 2As shown, the electronic device can include a processor 210, a communications interface 220, a memory 230, and a communications bus 240, wherein the processor 210, the communications interface 220, and the memory 230 complete communications with each other through the communications bus 240. The processor 210 can invoke a logical instruction in the memory 230 to execute a method as follows: determining a loss coefficient of an evaporative loss water quantity of a to-be-evaluated data center according to hourly dry-bulb temperature information of air in a region where the to-be-evaluated data center is located; determining an evaporative loss water quantity of the cooling tower in a unit time based on the loss coefficient, a circulating water quantity of the cooling tower in a unit time, and an inlet-outlet tower temperature difference of cooling water in the cooling tower; determining a supplementary water quantity of the cooling tower in a unit time based on the evaporative loss water quantity; determining a water source use efficiency of the to-be-evaluated data center in a unit time by taking the supplementary water quantity of the cooling tower in a unit time as a cooling water consumption quantity, combining a total power consumption quantity of each information technology device in the to-be-evaluated data center in a unit time, a domestic water quantity of the to-be-evaluated data center in a unit time, and a water consumption quantity of a humidification system in the to-be-evaluated data center in a unit time.

[0096] In addition, the logical instruction in the memory 230 described above can be implemented in the form of a software functional unit and sold or used as an independent product, and can be stored in a computer-readable storage medium. Based on such understanding, the technical solutions of the present application or parts of the related art that make contributions essentially or parts of the technical solutions can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes a plurality of instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the method described in the various embodiments of the present application. The aforementioned storage medium includes a U disk, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, and various media that can store program codes.

[0097] In yet another aspect, the embodiments of the present application also provide a non-transitory computer-readable storage medium having a computer program stored thereon, wherein the computer program is executed by a processor to implement the method provided by the above-mentioned embodiments, for example, including: determining a loss coefficient of an evaporative loss water quantity of a to-be-evaluated data center according to hourly dry-bulb temperature information of air in a region where the to-be-evaluated data center is located; determine the evaporation loss water quantity of the cooling tower in a unit time based on the loss coefficient, the circulating water quantity of the cooling tower of the data center to be evaluated in a unit time, and the temperature difference between the inlet and outlet of the cooling water in the cooling tower; determine the supplementary water quantity of the cooling tower in a unit time based on the evaporation loss water quantity; determine the water source use efficiency of the data center to be evaluated in a unit time by taking the supplementary water quantity of the cooling tower in a unit time as the cooling water consumption, combining the total power consumption of each information technology equipment in the data center to be evaluated in a unit time, the domestic water quantity corresponding to the data center to be evaluated in a unit time, and the water consumption of the humidification system in the data center to be evaluated in a unit time.

[0098] In another aspect, the embodiments of the present application also provide a computer program product, which has a computer program stored thereon, and the computer program is executed by a processor to implement the method provided by the above-mentioned embodiments, for example, comprising: determining the loss coefficient of the evaporation loss water quantity of the data center to be evaluated according to the hourly dry-bulb temperature information of the air in the region where the data center to be evaluated is located; determine the evaporation loss water quantity of the cooling tower in a unit time based on the loss coefficient, the circulating water quantity of the cooling tower of the data center to be evaluated in a unit time, and the temperature difference between the inlet and outlet of the cooling water in the cooling tower; determine the supplementary water quantity of the cooling tower in a unit time based on the evaporation loss water quantity; determine the water source use efficiency of the data center to be evaluated in a unit time by taking the supplementary water quantity of the cooling tower in a unit time as the cooling water consumption, combining the total power consumption of each information technology equipment in the data center to be evaluated in a unit time, the domestic water quantity corresponding to the data center to be evaluated in a unit time, and the water consumption of the humidification system in the data center to be evaluated in a unit time.

[0099] The device embodiments described above are only schematic, wherein the units shown as separate components can or can not be physically separate, and the components shown as units can or can not be physical units, i.e., can be located in one place, or can be distributed on multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the embodiments. Those skilled in the art can understand and implement without creative labor.

[0100] Those skilled in the art can clearly understand the implementation of the various embodiments by means of software and necessary general hardware platforms through the description of the above embodiments, and of course, the embodiments can also be implemented by hardware. Based on such understanding, the above technical solutions can be embodied in the form of a software product, and the computer software product can be stored in a computer readable storage medium, such as a ROM / RAM, a magnetic disk, an optical disk, etc., and includes a plurality of instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in the various embodiments or some parts of the embodiments.

[0101] Finally, it should be noted that the above embodiments are only used to illustrate the present application, and are not limiting to the present application. Although the present application is described in detail with reference to the embodiments, those skilled in the art should understand that various combinations, modifications or equivalent replacements of the technical solutions of the present application do not deviate from the spirit and scope of the present application.

Claims

1. A method for evaluating the water usage efficiency of a data center, characterized in that, include: Based on the hourly dry-bulb temperature information of the air in the area where the data center to be evaluated is located, the loss coefficient of the evaporation water loss of the data center to be evaluated is determined. Based on the loss coefficient, the circulating water volume of the cooling tower of the data center to be evaluated per unit time, and the temperature difference between the inlet and outlet of the cooling water in the cooling tower, the evaporation water loss of the cooling tower per unit time is determined. Based on the water loss due to evaporation, the amount of water to be replenished to the cooling tower per unit time is determined. The amount of water replenished to the cooling tower per unit time is taken as the cooling water consumption. Combined with the total power consumption of each information technology device in the data center to be evaluated per unit time, the domestic water consumption of the data center to be evaluated per unit time, and the water consumption of the humidification system in the data center to be evaluated per unit time, the water use efficiency of the data center to be evaluated per unit time is determined.

2. The method for evaluating the water usage efficiency of a data center according to claim 1, characterized in that, Determining the amount of water to be replenished to the cooling tower per unit time based on the evaporation loss includes: Multiply the water loss due to evaporation by a preset concentration factor to obtain the first result; the preset concentration factor is used to reflect the water-saving capacity of the circulating water system. The second result is obtained by adding the preset concentration factor to the preset threshold. The first result is compared with the second result, and the result of the ratio calculation is determined as the amount of water replenished to the cooling tower per unit time.

3. The method for evaluating the water usage efficiency of a data center according to claim 1, characterized in that, The determination of the evaporation water loss of the cooling tower per unit time, based on the loss coefficient, the circulating water volume of the cooling tower of the data center to be evaluated per unit time, and the temperature difference between the inlet and outlet of the cooling water in the cooling tower, includes: The loss coefficient is multiplied by the circulating water volume of the cooling tower of the data center to be evaluated per unit time to obtain the first product; Multiply the first product by the temperature difference between the inlet and outlet of the cooling water in the cooling tower, and use the resulting second product as the amount of water lost by evaporation in the cooling tower per unit time.

4. The method for evaluating the water usage efficiency of a data center according to claim 1, characterized in that, The step of determining the evaporation loss coefficient of the data center under evaluation based on the hourly dry-bulb temperature information of the air in the area where the data center is located includes: The hourly dry-bulb temperature information of the air in the area where the data center to be evaluated is located is compared to obtain the comparison results. Based on the comparison results, the target dry-bulb temperature is determined from each dry-bulb temperature in the hourly dry-bulb temperature information. Based on the target dry-bulb temperature, the loss coefficient of the evaporation water loss of the data center to be evaluated is determined from multiple preset loss coefficients.

5. The method for evaluating the water usage efficiency of a data center according to claim 4, characterized in that, The step of determining the evaporation loss coefficient of the data center to be evaluated from multiple preset loss coefficients based on the target dry-bulb temperature includes: Determine the correlation between the loss coefficient and dry-bulb temperature; Based on the target dry-bulb temperature and the correlation, the loss coefficient of the evaporation water loss of the data center to be evaluated is determined from multiple preset loss coefficients.

6. The method for evaluating the water usage efficiency of a data center according to claim 1, characterized in that, The step of determining the water usage efficiency of the data center under evaluation per unit time by taking the amount of water replenished by the cooling tower per unit time as the cooling water consumption, and combining this with the total power consumption of each IT device in the data center under evaluation per unit time, the domestic water consumption of the data center under evaluation per unit time, and the water consumption of the humidification system in the data center under evaluation per unit time, includes: The amount of water replenished by the cooling tower per unit time is taken as the cooling water consumption, and is added to the domestic water consumption per unit time corresponding to the data center to be evaluated and the water consumption of the humidification system in the data center to be evaluated per unit time to obtain the summed result. The summation result is compared with the total power consumption of each information technology device in the data center to be evaluated per unit time, and the result of the ratio calculation is determined as the water use efficiency of the data center to be evaluated per unit time.

7. A device for evaluating the water usage efficiency of a data center, characterized in that, include: The first determining module is used to determine the loss coefficient of the evaporation loss of the data center to be evaluated based on the hourly dry-bulb temperature information of the air in the area where the data center to be evaluated is located. The second determining module is used to determine the evaporation water loss of the cooling tower per unit time based on the loss coefficient, the circulating water volume of the cooling tower of the data center to be evaluated per unit time, and the temperature difference between the inlet and outlet of the cooling water in the cooling tower. The third determining module is used to determine the amount of water to be replenished to the cooling tower per unit time based on the amount of water lost through evaporation. The fourth determining module is used to take the amount of water replenished by the cooling tower per unit time as the cooling water consumption, and combine it with the total power consumption of each information technology equipment in the data center to be evaluated per unit time, the domestic water consumption of the data center to be evaluated per unit time, and the water consumption of the humidification system in the data center to be evaluated per unit time to determine the water use efficiency of the data center to be evaluated per unit time.

8. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the data center water usage efficiency evaluation method as described in any one of claims 1-6.

9. A storage medium, said storage medium being a non-transitory computer-readable storage medium, wherein a computer program is stored thereon, characterized in that, When executed by a processor, the computer program implements the data center water usage efficiency assessment method as described in any one of claims 1-6.

10. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by the processor, it implements the data center water usage efficiency evaluation method according to any one of claims 1-6.

Images