CN116628464B - Energy-saving control method, device and equipment for data center machine room and readable storage medium - Google Patents
Energy-saving control method, device and equipment for data center machine room and readable storage medium Download PDFInfo
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- 238000005265 energy consumption Methods 0.000 claims abstract description 105
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- 238000004364 calculation method Methods 0.000 claims description 12
- 238000004378 air conditioning Methods 0.000 claims description 9
- 238000004590 computer program Methods 0.000 claims description 8
- 238000010438 heat treatment Methods 0.000 claims description 4
- 238000004134 energy conservation Methods 0.000 description 9
- 238000004891 communication Methods 0.000 description 8
- 238000001816 cooling Methods 0.000 description 8
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
Abstract
The invention provides an energy-saving control method, device and equipment for a data center machine room and a readable storage medium, and relates to the technical field of energy saving, wherein the method comprises the steps of obtaining one or more energy consumption systems in the data center machine room, and establishing a corresponding distributed energy consumption model for each energy consumption system; calculating to obtain various starting schemes of the equipment under the preset power consumption of the distributed energy consumption model by utilizing a search algorithm; acquiring basic parameters of equipment, calculating energy consumption corresponding to each starting scheme according to the basic parameters of the equipment, and sequencing the energy consumption corresponding to all the starting schemes to obtain an energy consumption sequencing table; the power consumption of the data center machine room is obtained, and the equipment starting scheme with the minimum energy consumption is obtained by searching from the energy consumption ranking table according to the power consumption.
Description
Technical Field
The invention relates to the technical field of energy conservation, in particular to a method, a device and equipment for controlling energy conservation of a data center machine room and a readable storage medium.
Background
IT equipment (servers, storage, networks), electrical equipment (transformers, uninterruptible power supply UPS systems, various switch cabinets, lighting, etc.), refrigeration equipment (chiller units, water pumps, precision air conditioners, fans, etc.), and weak current systems (including fire protection, video monitoring, power environment monitoring, etc.) in a data center room consume a large amount of power in daily operation. In order to measure the energy saving level among different machine rooms, the management department takes the electricity use efficiency PUE as an evaluation index, and if the PUE exceeds a threshold value, the unit price of the electricity fee is increased, and even the electricity failure processing is performed. How to obtain a data center machine room with a lower PUE value requires not only electromechanical equipment with good system architecture and excellent energy-saving index, but also a good energy-saving control method.
Disclosure of Invention
The invention aims to provide a data center machine room energy-saving control method, a device, equipment and a readable storage medium, so as to solve the problems. In order to achieve the above purpose, the technical scheme adopted by the invention is as follows:
in a first aspect, the present application provides a method for controlling energy saving in a data center room, including:
acquiring one or more energy consumption systems in a data center machine room, and establishing a corresponding distributed energy consumption model for each energy consumption system;
calculating to obtain various starting schemes of the equipment under the preset power consumption of the distributed energy consumption model by utilizing a search algorithm;
acquiring basic parameters of equipment, calculating energy consumption corresponding to each starting scheme according to the basic parameters of the equipment, and sequencing the energy consumption corresponding to all the starting schemes to obtain an energy consumption sequencing table;
and acquiring the power consumption of the data center machine room, and searching from the energy consumption ranking table according to the power consumption to obtain a device starting scheme with the minimum energy consumption.
In a second aspect, the present application further provides an energy-saving control device for a data center room, including:
and a model building module: acquiring one or more energy consumption systems in a data center machine room, and establishing a corresponding distributed energy consumption model for each energy consumption system;
and a search module: calculating to obtain various starting schemes of the equipment under the preset power consumption of the distributed energy consumption model by utilizing a search algorithm;
and a sequencing module: acquiring basic parameters of equipment, calculating energy consumption corresponding to each starting scheme according to the basic parameters of the equipment, and sequencing the energy consumption corresponding to all the starting schemes to obtain an energy consumption sequencing table;
and a query module: and acquiring the power consumption of the data center machine room, and searching from the energy consumption ranking table according to the power consumption to obtain a device starting scheme with the minimum energy consumption.
In a third aspect, the present application further provides an energy-saving control device for a data center room, including:
a memory for storing a computer program;
and the processor is used for realizing the step of the energy-saving control method of the data center machine room when executing the computer program.
In a fourth aspect, the present application further provides a readable storage medium, where a computer program is stored, where the computer program, when executed by a processor, implements the steps of the energy saving control method based on a data center room.
The beneficial effects of the invention are as follows:
according to the invention, through constructing a distributed energy consumption model of various data center machine rooms, the energy consumption ranking tables corresponding to different power consumption are obtained by first calculating through a search algorithm, and then the corresponding energy consumption ranking table is searched according to the actual power consumption of the machine room in actual use, so that the equipment starting scheme with the minimum energy consumption can be directly obtained.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be apparent from the description, or may be learned by practice of the embodiments of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims thereof as well as the appended drawings.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the embodiments will be briefly described below, it being understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and other related drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic flow chart of a method for controlling energy conservation in a data center room according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of an energy-saving control device for a data center room according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of an energy-saving control device of a data center machine room according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of an energy-saving control device for a data center room in an embodiment of the present invention.
The marks in the figure:
01. a model building module; 011. a first model unit; 012. a second model unit; 013. a third model unit; 02. a search module; 021. a first acquisition unit; 022. a second acquisition unit; 023. a first determination unit; 024. a fourth acquisition unit; 025. a fifth acquisition unit; 026. a second determination unit; 03. a sequencing module; 031. a third acquisition unit; 032. a first calculation unit; 033. a first search unit; 034. a second calculation unit; 035. a first sorting unit; 036. a sixth acquisition unit; 037. a third calculation unit; 038. a second search unit; 039. a fourth calculation unit; 0310. a first sorting unit; 04. a query module;
800. energy-saving control equipment for a data center machine room; 801. a processor; 802. a memory; 803. a multimedia component; 804. an I/O interface; 805. a communication component.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. The components of the embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the invention, as presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
It should be noted that: like reference numerals and letters denote like items in the following figures, and thus once an item is defined in one figure, no further definition or explanation thereof is necessary in the following figures. Meanwhile, in the description of the present invention, the terms "first", "second", and the like are used only to distinguish the description, and are not to be construed as indicating or implying relative importance.
Example 1:
the embodiment provides an energy-saving control method for a data center machine room.
Referring to fig. 1, the method is shown to include:
s1, acquiring one or more energy consumption systems in a data center machine room, and establishing a corresponding distributed energy consumption model for each energy consumption system;
specifically, the step S1 includes:
a refrigerating station refrigerating model is built, wherein the refrigerating station refrigerating model is built by taking an air conditioner in an air-conditioning room as a cold source and a heating cabinet in the air-conditioning room as a heat source;
the method comprises the steps of establishing output and establishing a refrigerating station refrigerating model, wherein the output and refrigerating station refrigerating model comprises a plurality of refrigerating units connected in parallel, and the refrigerating station refrigerating model is established by taking a compressor motor of a water chilling unit as energy input and refrigerating capacity of chilled water as output;
and establishing a UPS cluster power supply model, wherein the UPS cluster power supply model is established by taking mains supply as input and power supply of a UPS system as output.
S2, calculating to obtain various starting schemes of the equipment under the preset power consumption of the distributed energy consumption model by utilizing a search algorithm;
specifically, if the distributed energy consumption model is a refrigeration station refrigeration model, the step S2 includes:
s21, acquiring rated refrigeration requirements of a data center machine room, rated refrigeration capacity of each air conditioner and configuration quantity of the air conditioners;
specifically, the rated refrigeration requirement of the server room is P1 kw, the rated refrigeration capacity of each air conditioner is P2 kw, the number of main air conditioners is P1/p2=m1, and the number of standby air conditioners is m2, so that the number of air conditioners is m1+m2=n.
S22, acquiring power consumption of an IT machine room energy consumption model, and determining the minimum quantity of air conditioners started according to the power consumption and rated refrigerating capacity of each air conditioner;
specifically, the power consumption of the IT machine room energy consumption model is P kilowatts, so that the minimum number of air conditioners started is P/P2=x;
s23, determining a starting quantity range of the air conditioners by the minimum quantity of the air conditioners and the configuration quantity of the air conditioners, and selecting a starting scheme of the air conditioners from the starting quantity range of the air conditioners.
It is known that the number of air conditioners started ranges from x to n, so the number of air conditioners started may be x, x+1, x+2, x+3, x+4, x+a, where x+a=n.
S3, acquiring basic parameters of the equipment, calculating energy consumption corresponding to each starting scheme according to the basic parameters of the equipment, and sequencing the energy consumption corresponding to all the starting schemes to obtain an energy consumption sequencing table;
specifically, the step S3 includes:
s31, acquiring an efficiency curve table from basic parameters of the air conditioner, wherein the efficiency curve table comprises refrigeration efficiencies corresponding to different refrigeration capacities of the air conditioner;
s32, calculating the refrigerating capacity corresponding to each starting scheme of the air conditioner according to the power consumption of the IT machine room energy consumption model;
in this embodiment, the refrigeration capacities corresponding to each starting scheme are respectively:
when x air conditioners are started, the refrigerating capacity is P/x=y0 kilowatts;
when x+1 air conditioners are started, the refrigerating capacity is P/(x+1) =y1 kw;
when x+2 air conditioners are started, the refrigerating capacity is P/(x+2) =y2 kw;
...
when x+a air conditioners are started, the cooling capacity is P/(x+a) =ya kw.
S33, searching corresponding refrigeration efficiency from an efficiency curve table by utilizing the refrigeration capacity corresponding to each starting quantity;
in this example, as can be seen from the efficiency curve table, when the cooling capacities are y0, y1, y2, and y, the corresponding cooling efficiencies are η0, η1, η2, and ηa.
S34, calculating to obtain the power consumption corresponding to each starting quantity of the air conditioner through the total power consumption and the corresponding refrigeration efficiency;
when x air conditioners are started, the power consumption is P/eta 0=q0 kilowatts;
when x+1 air conditioners are started, the power consumption is P/η1=q1 kw;
when x+2 air conditioners are started, the power consumption is P/η2=q2 kilowatts;
...
when x+a air conditioners are started, the power consumption is P/eta=qa kw.
S35, sorting the power consumption from small to large to obtain an air conditioner power consumption sorting table with power consumption of P kilowatt-hours.
Based on the above embodiment, when the distributed energy consumption model is a refrigeration station refrigeration model, the step S2 includes the following steps;
s21, acquiring rated refrigeration requirements of a data center machine room, rated refrigeration capacity of each water chilling unit and configuration quantity of the water chilling units;
s22, obtaining refrigeration demand power of a refrigeration station refrigeration model, and determining the minimum number of cold water units to start according to the refrigeration demand power and rated refrigeration capacity of each cold water unit;
s23, determining a starting quantity range of the water chilling unit by the minimum quantity started by the water chilling unit and the configuration quantity of the water chilling unit, and selecting a starting scheme of the water chilling unit from the starting quantity range of the water chilling unit;
the step S3 comprises the following steps of;
s31, acquiring an efficiency curve table from basic parameters of the water chiller, wherein the efficiency curve table comprises refrigeration efficiencies corresponding to different refrigeration capacities of the water chiller;
s32, calculating the refrigerating capacity corresponding to each starting quantity of the air conditioner according to the power consumption of the refrigerating model of the refrigerating station;
s33, searching corresponding refrigeration efficiency from an efficiency curve table by utilizing the refrigeration capacity corresponding to each starting quantity;
s34, calculating the power consumption corresponding to each starting quantity of the water chilling unit through the total power consumption and the corresponding refrigeration efficiency;
s35, sorting the power consumption from small to large to obtain a water chilling unit power consumption sorting table.
The calculation method of the UPS cluster power supply model is the same as the refrigeration model of the refrigeration station and the energy consumption model of the IT machine room, and is not repeated here.
S4, acquiring power consumption of a data center machine room, and searching for a device starting scheme with the minimum energy consumption from the energy consumption ranking table according to the power consumption, wherein in the embodiment, the energy consumption ranking table under different power consumption is calculated in the steps S2-S4, so that the device starting scheme with the minimum energy consumption in the corresponding ranking table can be directly inquired according to actual power consumption efficiency.
Example 2:
in this embodiment, the distributed energy consumption model is an IT machine room energy consumption model, where the rated refrigeration requirement of the server machine room is 800 kw, the rated refrigeration capacity of each air conditioner is 100 kw, the number of main air conditioners is 800/100=8, and the number of standby air conditioners is 2, so the number of air conditioners is 10, and the power consumption of the IT machine room energy consumption model is 400 kw;
thus, the minimum number of air conditioning starts is 400/100=4;
it is known that the number of air conditioners started ranges from 4 to 10, so the number of air conditioners started may be 4/5/6/7/8/9/10.
The refrigerating capacity corresponding to each starting scheme is respectively as follows:
when 4 air conditioners are started, the refrigerating capacity is 400/4=100 kilowatts;
when 5 air conditioners are started, the refrigerating capacity is 400/5=80 kw;
when 6 air conditioners are started, the refrigerating capacity is 400/6=66.6 kw;
when 7 air conditioners are started, the refrigerating capacity is 400/7=57 kilowatts;
when 8 air conditioners are started, the refrigerating capacity is 400/8=50 kw;
when 9 air conditioners are started, the refrigerating capacity is 400/9=44.4 kilowatts;
when 10 air conditioners are started, the cooling capacity is 400/10=40 kw.
In this example, as can be seen from the efficiency curve table, when the cooling capacities are 100, 80, 66.6, 57, 50, 44.4, and 40, respectively, the corresponding cooling efficiencies are 20, 25, 30, 36, 40, 27, and 25.
The power consumption corresponding to each starting quantity of the air conditioner is obtained through calculation of the total power consumption and the corresponding refrigeration efficiency:
when 4 air conditioners are started, the power consumption is 400/4=100 kilowatts;
when 5 air conditioners are started, the power consumption is 400/5=80 kw;
when 6 air conditioners are started, the power consumption is 400/6=66.6 kw;
when 7 air conditioners are started, the power consumption is 400/7=57 kilowatts;
when 8 air conditioners are started, the power consumption is 400/8=50 kw;
when 9 air conditioners are started, the power consumption is 400/9=44.4 kw;
when 10 air conditioners are started, the power consumption is 400/10=40 kw.
And sorting the power consumption from small to large to obtain an air conditioner power consumption sorting table, as shown in table 1.
TABLE 1
| Quantity of air conditioner start | Refrigeration efficiency | Power consumption |
| 8 | 40 | 10 |
| 7 | 36 | 11.1 |
| 6 | 30 | 13.3 |
| 9 | 27 | 14.8 |
| 5 | 25 | 16 |
| 10 | 25 | 16 |
| 4 | 20 | 20 |
Example 3
In this embodiment, the distributed energy consumption model is a refrigeration station refrigeration model, where the rated refrigeration requirement of the server room is 1500 kw, the rated refrigeration capacity of each chiller is 3000 kw, the number of main chiller units is 15800/3000=5, and the number of standby chiller units is 1, so the number of chiller units is 6, and the power consumption of the IT room energy consumption model is 8500 kw;
therefore, the minimum number of the cold water units started is 8500/3000 approximately 3;
as can be seen, the number of the water chilling units started is 3-6, so that the number of the water chilling units started can be 3/4/5/6.
The refrigerating capacity corresponding to each starting scheme is respectively as follows:
when 3 water chilling units are started, the refrigerating capacity is 8500/3=2833 kilowatts;
when 4 water chilling units are started, the refrigerating capacity is 8500/4=2125 kilowatts;
when 5 water chilling units are started, the refrigerating capacity is 8500/5=1700 kilowatts;
when 6 water chilling units are started, the refrigerating capacity is 8500/6=1416 kilowatts;
in this example, as can be seen from the efficiency curve table, when the cooling capacities are 2833, 2125, 1700, 1416, respectively, the corresponding cooling efficiencies are 7.6, 8.3, 7.1, 6.9.
The power consumption corresponding to each starting quantity of the water chilling unit is calculated through the total power consumption and the corresponding refrigeration efficiency:
when 3 water chilling units are started, the power consumption is 400/4=1118 kilowatts;
when 4 water chilling units are started, the power consumption is 400/4=1024 kilowatts;
when 5 water chilling units are started, the power consumption is 400/5=1197kilowatts;
when 6 water chilling units are started, the power consumption is 400/6=1232 kilowatts;
and sorting the power consumption from small to large to obtain a water chilling unit power consumption sorting table, as shown in table 2.
TABLE 2
| The starting quantity of the water chilling units | Refrigeration efficiency | Power consumption |
| 4 | 8.3 | 1024 |
| 6 | 6.9 | 1232 |
| 5 | 7.1 | 1197 |
| 3 | 7.6 | 1118 |
Example 4
As shown in fig. 3 and fig. 3, this embodiment provides an energy-saving control device for a data center room, where the device includes:
model building module 01: acquiring one or more energy consumption systems in a data center machine room, and establishing a corresponding distributed energy consumption model for each energy consumption system;
search module 02: calculating to obtain various starting schemes of the equipment under the preset power consumption of the distributed energy consumption model by utilizing a search algorithm;
sequencing module 03: acquiring basic parameters of equipment, calculating energy consumption corresponding to each starting scheme according to the basic parameters of the equipment, and sequencing the energy consumption corresponding to all the starting schemes to obtain an energy consumption sequencing table;
query module 04: and acquiring the power consumption of the data center machine room, and searching from the energy consumption ranking table according to the power consumption to obtain a device starting scheme with the minimum energy consumption.
Based on the above embodiments, the model building module 01 includes:
the first model unit 011: an IT machine room energy consumption model is built, wherein the IT machine room energy consumption model is built by taking an air conditioner in an air-conditioning room as a cold source and a heating cabinet in the air-conditioning room as a heat source;
the second model unit 012: the method comprises the steps of establishing output and establishing a refrigerating station refrigerating model, wherein the output and refrigerating station refrigerating model comprises a plurality of refrigerating units connected in parallel, and the refrigerating station refrigerating model is established by taking a compressor motor of a water chilling unit as energy input and refrigerating capacity of chilled water as output;
third model unit 013: and establishing a UPS cluster power supply model, wherein the UPS cluster power supply model is established by taking mains supply as input and power supply of a UPS system as output.
Based on the above embodiments, the search module 02 includes:
the first acquisition unit 021: acquiring rated refrigeration requirements of a data center machine room, rated refrigeration capacity of each air conditioner and configuration quantity of the air conditioners;
a second acquisition unit 022: acquiring power consumption of an IT machine room energy consumption model, and determining the minimum quantity of air conditioners started according to the power consumption and rated refrigerating capacity of each air conditioner;
the first determination unit 023: and determining the starting quantity range of the air conditioners by the minimum quantity of the air conditioners and the configuration quantity of the air conditioners, and selecting a starting scheme of the air conditioners from the starting quantity range of the air conditioners.
Based on the above embodiments, the sorting module 03 includes:
third acquisition unit 031: acquiring an efficiency curve table from basic parameters of an air conditioner, wherein the efficiency curve table comprises refrigeration efficiencies corresponding to different refrigeration capacities of the air conditioner;
first calculation unit 032: calculating the refrigerating capacity corresponding to each starting scheme of the air conditioner according to the power consumption of the IT machine room energy consumption model;
first lookup unit 033: searching corresponding refrigeration efficiency from the efficiency curve table by utilizing the refrigeration capacity corresponding to each starting quantity;
the second calculation unit 034: calculating to obtain the power consumption corresponding to each starting quantity of the air conditioner through the total power consumption and the corresponding refrigeration efficiency;
first sequencing unit 035: and sorting the power consumption from small to large to obtain an air conditioner power consumption sorting table.
Based on the above embodiments, the search module 02 further includes;
fourth acquisition unit 024: acquiring rated refrigeration requirements of a data center machine room, rated refrigeration capacity of each water chilling unit and configuration quantity of the water chilling units;
a fifth acquisition unit 025: acquiring refrigeration demand power of a refrigeration station refrigeration model, and determining the minimum number of cold water units to start according to the refrigeration demand power and rated refrigeration capacity of each cold water unit;
the second determination unit 026: and determining the starting quantity range of the water chilling units by the minimum quantity started by the water chilling units and the configuration quantity of the water chilling units, and selecting a starting scheme of the water chilling units from the starting quantity range of the water chilling units.
Based on the above embodiments, the sorting module 03 further includes:
sixth acquisition unit 036: obtaining an efficiency curve table from basic parameters of the water chiller, wherein the efficiency curve table comprises refrigeration efficiencies corresponding to different refrigeration capacities of the water chiller;
third calculation unit 037: calculating the refrigerating capacity corresponding to each starting quantity of the air conditioner according to the power consumption of the refrigerating station refrigerating model;
second search unit 038: searching corresponding refrigeration efficiency from the efficiency curve table by utilizing the refrigeration capacity corresponding to each starting quantity;
fourth calculation unit 039: calculating the power consumption corresponding to each starting quantity of the water chilling unit through the total power consumption and the corresponding refrigeration efficiency;
first sorting unit 0310: and sorting the power consumption from small to large to obtain a water chilling unit power consumption sorting table.
It should be noted that, regarding the apparatus in the above embodiments, the specific manner in which the respective modules perform the operations has been described in detail in the embodiments regarding the method, and will not be described in detail herein.
Example 3:
corresponding to the above method embodiment, the present embodiment further provides a data center room energy-saving control device, where the energy-saving control device of the data center room described below and the energy-saving control method of the data center room described above may be referred to correspondingly.
Fig. 4 is a block diagram illustrating a data center room energy conservation control device 800, according to an exemplary embodiment. As shown in fig. 4, the data center room energy saving control apparatus 800 may include: a processor 801, a memory 802. The data center room energy conservation control device 800 may also include one or more of a multimedia component 803, an i/O interface 804, and a communication component 805.
The processor 801 is configured to control the overall operation of the energy-saving control device 800 of the data center room, so as to complete all or part of the steps in the energy-saving control method of the data center room. The memory 802 is used to store various types of data to support the operation of the data center room energy conservation control device 800, which may include, for example, instructions for any application or method operating on the data center room energy conservation control device 800, as well as application related data, such as contact data, messages, pictures, audio, video, and the like. The Memory 802 may be implemented by any type or combination of volatile or non-volatile Memory devices, such as static random access Memory (Static Random Access Memory, SRAM for short), electrically erasable programmable Read-Only Memory (Electrically Erasable Programmable Read-Only Memory, EEPROM for short), erasable programmable Read-Only Memory (Erasable Programmable Read-Only Memory, EPROM for short), programmable Read-Only Memory (Programmable Read-Only Memory, PROM for short), read-Only Memory (ROM for short), magnetic Memory, flash Memory, magnetic disk, or optical disk. The multimedia component 803 may include a screen and an audio component. Wherein the screen may be, for example, a touch screen, the audio component being for outputting and/or inputting audio signals. For example, the audio component may include a microphone for receiving external audio signals. The received audio signals may be further stored in the memory 802 or transmitted through the communication component 805. The audio assembly further comprises at least one speaker for outputting audio signals. The I/O interface 804 provides an interface between the processor 801 and other interface modules, which may be a keyboard, mouse, buttons, etc. These buttons may be virtual buttons or physical buttons. The communication component 805 is configured to perform wired or wireless communication between the data center room energy saving control device 800 and other devices. Wireless communication, such as Wi-Fi, bluetooth, near field communication (Near FieldCommunication, NFC for short), 2G, 3G or 4G, or a combination of one or more thereof, the respective communication component 805 may thus comprise: wi-Fi module, bluetooth module, NFC module.
In an exemplary embodiment, the data center room energy saving control apparatus 800 may be implemented by one or more application specific integrated circuits (Application Specific Integrated Circuit, abbreviated as ASIC), digital signal processors (DigitalSignal Processor, abbreviated as DSP), digital signal processing apparatus (Digital Signal Processing Device, abbreviated as DSPD), programmable logic devices (Programmable Logic Device, abbreviated as PLD), field programmable gate arrays (Field Programmable Gate Array, abbreviated as FPGA), controllers, microcontrollers, microprocessors, or other electronic components for performing the data center room energy saving control method described above.
In another exemplary embodiment, a computer readable storage medium is also provided, which includes program instructions that, when executed by a processor, implement the steps of the data center room energy saving control method described above. For example, the computer readable storage medium may be the memory 802 described above including program instructions executable by the processor 801 of the data center room energy conservation control device 800 to perform the data center room energy conservation control method described above.
Example 4:
corresponding to the above method embodiment, a readable storage medium is further provided in this embodiment, and a readable storage medium described below and a data center room energy saving control method described above may be referred to correspondingly.
A readable storage medium, on which a computer program is stored, which when executed by a processor implements the steps of the energy-saving control method of a data center room of the above method embodiment.
The readable storage medium may be a usb disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a magnetic disk, or an optical disk, and the like.
The above description is only of the preferred embodiments of the present invention and is not intended to limit the present invention, but various modifications and variations can be made to the present invention by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
The foregoing is merely illustrative of the present invention, and the present invention is not limited thereto, and any person skilled in the art will readily recognize that variations or substitutions are within the scope of the present invention. Therefore, the protection scope of the invention is subject to the protection scope of the claims.
Claims (8)
1. The energy-saving control method for the data center machine room is characterized by comprising the following steps of:
acquiring one or more energy consumption systems in a data center machine room, and establishing a corresponding distributed energy consumption model for each energy consumption system, wherein when the distributed energy consumption model is an IT machine room energy consumption model, equipment of the IT machine room energy consumption model is an air conditioner;
calculating to obtain various starting schemes of the equipment under the preset power consumption of the distributed energy consumption model by utilizing a search algorithm;
acquiring basic parameters of equipment, calculating energy consumption corresponding to each starting scheme according to the basic parameters of the equipment, and sequencing the energy consumption corresponding to all the starting schemes to obtain an energy consumption sequencing table, wherein the method comprises the following steps:
acquiring an efficiency curve table from basic parameters of an air conditioner, wherein the efficiency curve table comprises refrigeration efficiencies corresponding to different refrigeration capacities of the air conditioner;
calculating the refrigerating capacity corresponding to each starting scheme of the air conditioner according to the power consumption of the IT machine room energy consumption model;
searching corresponding refrigeration efficiency from the efficiency curve table by utilizing the refrigeration capacity corresponding to each starting quantity;
calculating to obtain the power consumption corresponding to each starting quantity of the air conditioner through the total power consumption and the corresponding refrigeration efficiency;
sorting the power consumption from small to large to obtain an air conditioner power consumption sorting table;
and acquiring the power consumption of the data center machine room, and searching from the energy consumption ranking table according to the power consumption to obtain a device starting scheme with the minimum energy consumption.
2. The energy-saving control method of a data center room according to claim 1, wherein obtaining one or more energy consumption systems in the data center room and establishing a corresponding distributed energy consumption model for each energy consumption system comprises:
an IT machine room energy consumption model is built, wherein the IT machine room energy consumption model is built by taking an air conditioner in an air-conditioning room as a cold source and a heating cabinet in the air-conditioning room as a heat source;
the method comprises the steps of establishing output and establishing a refrigerating station refrigerating model, wherein the output and refrigerating station refrigerating model comprises a plurality of refrigerating units connected in parallel, and the refrigerating station refrigerating model is established by taking a compressor motor of a water chilling unit as energy input and refrigerating capacity of chilled water as output;
and establishing a UPS cluster power supply model, wherein the UPS cluster power supply model is established by taking mains supply as input and power supply of a UPS system as output.
3. The energy-saving control method of a data center machine room according to claim 1, wherein the multiple starting schemes of the equipment under the preset power consumption of the distributed energy consumption model are calculated by using a search algorithm, and when the distributed energy consumption model is an IT machine room energy consumption model, the equipment included in the IT machine room energy consumption model is an air conditioner, including:
acquiring rated refrigeration requirements of a data center machine room, rated refrigeration capacity of each air conditioner and configuration quantity of the air conditioners;
acquiring power consumption of an IT machine room energy consumption model, and determining the minimum quantity of air conditioners started according to the power consumption and rated refrigerating capacity of each air conditioner;
and determining the starting quantity range of the air conditioners by the minimum quantity of the air conditioners and the configuration quantity of the air conditioners, and selecting a starting scheme of the air conditioners from the starting quantity range of the air conditioners.
4. The utility model provides a data center computer lab energy-saving control device which characterized in that includes:
and a model building module: acquiring one or more energy consumption systems in a data center machine room, and establishing a corresponding distributed energy consumption model for each energy consumption system, wherein when the distributed energy consumption model is an IT machine room energy consumption model, equipment of the IT machine room energy consumption model is an air conditioner;
and a search module: calculating to obtain various starting schemes of the equipment under the preset power consumption of the distributed energy consumption model by utilizing a search algorithm;
and a sequencing module: acquiring basic parameters of equipment, calculating energy consumption corresponding to each starting scheme according to the basic parameters of the equipment, and sequencing the energy consumption corresponding to all the starting schemes to obtain an energy consumption sequencing table, wherein the method comprises the following steps:
a third acquisition unit: acquiring an efficiency curve table from basic parameters of an air conditioner, wherein the efficiency curve table comprises refrigeration efficiencies corresponding to different refrigeration capacities of the air conditioner;
a first calculation unit: calculating the refrigerating capacity corresponding to each starting scheme of the air conditioner according to the power consumption of the IT machine room energy consumption model;
a first search unit: searching corresponding refrigeration efficiency from the efficiency curve table by utilizing the refrigeration capacity corresponding to each starting quantity;
a second calculation unit: calculating to obtain the power consumption corresponding to each starting quantity of the air conditioner through the total power consumption and the corresponding refrigeration efficiency;
a first sorting unit: sorting the power consumption from small to large to obtain an air conditioner power consumption sorting table; and a query module: and acquiring the power consumption of the data center machine room, and searching from the energy consumption ranking table according to the power consumption to obtain a device starting scheme with the minimum energy consumption.
5. The energy-saving control device for a data center room according to claim 4, wherein the model building module comprises:
a first model unit: an IT machine room energy consumption model is built, wherein the IT machine room energy consumption model is built by taking an air conditioner in an air-conditioning room as a cold source and a heating cabinet in the air-conditioning room as a heat source;
a second model unit: the method comprises the steps of establishing output and establishing a refrigerating station refrigerating model, wherein the output and refrigerating station refrigerating model comprises a plurality of refrigerating units connected in parallel, and the refrigerating station refrigerating model is established by taking a compressor motor of a water chilling unit as energy input and refrigerating capacity of chilled water as output;
third model unit: and establishing a UPS cluster power supply model, wherein the UPS cluster power supply model is established by taking mains supply as input and power supply of a UPS system as output.
6. The energy-saving control device for a data center room according to claim 4, wherein the search module comprises:
a first acquisition unit: acquiring rated refrigeration requirements of a data center machine room, rated refrigeration capacity of each air conditioner and configuration quantity of the air conditioners;
a second acquisition unit: acquiring power consumption of an IT machine room energy consumption model, and determining the minimum quantity of air conditioners started according to the power consumption and rated refrigerating capacity of each air conditioner;
a determination unit: and determining the starting quantity range of the air conditioners by the minimum quantity of the air conditioners and the configuration quantity of the air conditioners, and selecting a starting scheme of the air conditioners from the starting quantity range of the air conditioners.
7. The utility model provides a data center computer lab energy-saving control equipment which characterized in that includes:
a memory for storing a computer program;
a processor for implementing the steps of the data center room energy saving control method according to any one of claims 1 to 3 when executing the computer program.
8. A readable storage medium, characterized by: the readable storage medium has stored thereon a computer program which, when executed by a processor, implements the steps of a data center room energy saving control method according to any one of claims 1 to 3.
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