CN115164362A - IDC air conditioning system energy consumption optimization method, system and medium based on heat environment gridding of machine room - Google Patents
IDC air conditioning system energy consumption optimization method, system and medium based on heat environment gridding of machine room Download PDFInfo
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- CN115164362A CN115164362A CN202210755147.6A CN202210755147A CN115164362A CN 115164362 A CN115164362 A CN 115164362A CN 202210755147 A CN202210755147 A CN 202210755147A CN 115164362 A CN115164362 A CN 115164362A
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- 238000005457 optimization Methods 0.000 title claims abstract description 68
- 238000004378 air conditioning Methods 0.000 title claims abstract description 43
- 238000005265 energy consumption Methods 0.000 title claims abstract description 31
- 238000000034 method Methods 0.000 title claims abstract description 30
- 238000001816 cooling Methods 0.000 claims abstract description 107
- 238000009826 distribution Methods 0.000 claims abstract description 21
- 230000008520 organization Effects 0.000 claims abstract description 18
- 238000011002 quantification Methods 0.000 claims abstract description 10
- 238000004781 supercooling Methods 0.000 claims abstract description 9
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 93
- 238000013021 overheating Methods 0.000 claims description 11
- 238000012544 monitoring process Methods 0.000 claims description 10
- 230000008878 coupling Effects 0.000 claims description 7
- 238000010168 coupling process Methods 0.000 claims description 7
- 238000005859 coupling reaction Methods 0.000 claims description 7
- 230000001105 regulatory effect Effects 0.000 claims description 6
- 238000003860 storage Methods 0.000 claims description 5
- 238000005192 partition Methods 0.000 claims description 3
- 238000005070 sampling Methods 0.000 claims description 3
- 238000010276 construction Methods 0.000 claims description 2
- 238000007789 sealing Methods 0.000 claims description 2
- 238000010586 diagram Methods 0.000 description 6
- 230000006870 function Effects 0.000 description 3
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000005057 refrigeration Methods 0.000 description 2
- 238000006467 substitution reaction Methods 0.000 description 2
- 238000012935 Averaging Methods 0.000 description 1
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 description 1
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- 241000196324 Embryophyta Species 0.000 description 1
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- 229910052799 carbon Inorganic materials 0.000 description 1
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- 238000004134 energy conservation Methods 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 239000002699 waste material Substances 0.000 description 1
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
- F24F11/63—Electronic processing
- F24F11/64—Electronic processing using pre-stored data
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/70—Control systems characterised by their outputs; Constructional details thereof
- F24F11/80—Control systems characterised by their outputs; Constructional details thereof for controlling the temperature of the supplied air
- F24F11/83—Control systems characterised by their outputs; Constructional details thereof for controlling the temperature of the supplied air by controlling the supply of heat-exchange fluids to heat-exchangers
- F24F11/85—Control systems characterised by their outputs; Constructional details thereof for controlling the temperature of the supplied air by controlling the supply of heat-exchange fluids to heat-exchangers using variable-flow pumps
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- H—ELECTRICITY
- H05—ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
- H05K—PRINTED CIRCUITS; CASINGS OR CONSTRUCTIONAL DETAILS OF ELECTRIC APPARATUS; MANUFACTURE OF ASSEMBLAGES OF ELECTRICAL COMPONENTS
- H05K7/00—Constructional details common to different types of electric apparatus
- H05K7/20—Modifications to facilitate cooling, ventilating, or heating
- H05K7/20709—Modifications to facilitate cooling, ventilating, or heating for server racks or cabinets; for data centers, e.g. 19-inch computer racks
- H05K7/20718—Forced ventilation of a gaseous coolant
- H05K7/20745—Forced ventilation of a gaseous coolant within rooms for removing heat from cabinets, e.g. by air conditioning device
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- H—ELECTRICITY
- H05—ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
- H05K—PRINTED CIRCUITS; CASINGS OR CONSTRUCTIONAL DETAILS OF ELECTRIC APPARATUS; MANUFACTURE OF ASSEMBLAGES OF ELECTRICAL COMPONENTS
- H05K7/00—Constructional details common to different types of electric apparatus
- H05K7/20—Modifications to facilitate cooling, ventilating, or heating
- H05K7/20709—Modifications to facilitate cooling, ventilating, or heating for server racks or cabinets; for data centers, e.g. 19-inch computer racks
- H05K7/20836—Thermal management, e.g. server temperature control
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Abstract
The invention discloses an IDC air conditioning system energy consumption optimization method, system and medium based on heat environment gridding of a machine room, wherein the method comprises the steps of optimizing cold and hot air flow organization in the machine room; carrying out gridding division on the machine room space; constructing a matching relation between a temperature field of a grid area of a machine room and the cooling of tail-end cooling operation equipment which operates nearby; quantifying the temperature distribution of the grid area; comparing the grid real-time temperature obtained through quantification with a set grid temperature set threshold; and performing sequential optimization regulation and control on the air conditioner cooling equipment. The invention provides a method for quickly optimizing the airflow organization of the environment of a machine room, which can shorten the optimization and reconstruction period of the indoor airflow organization, optimize the regulation and control priority sequence of terminal equipment, solve the problem of mismatching of the cooling supply of a terminal air conditioner, accurately position a supercooling superheat area, improve the utilization rate of cold energy, reduce cost and improve efficiency and improve the optimization and control effectiveness of an air conditioning system.
Description
Technical Field
The invention belongs to the technical field of building energy conservation, and particularly relates to an IDC air conditioning system energy consumption optimization method, system and medium based on machine room thermal environment gridding.
Background
The new capital construction under the strategic target of '3060 double carbon' puts new requirements on the energy consumption of a data center (IDC). The energy consumption of the centralized air-conditioning system accounts for about 40% of the total IDC energy consumption, wherein the energy consumption of the air-conditioning tail end system is relatively large. Therefore, improving the energy efficiency of the air conditioning terminal system is extremely important for building green and efficient IDC.
Due to the special operation mode of IDC, tasks of the cabinet servers in the machine room are distributed unevenly, load difference is large, and indoor temperature distribution is uneven; meanwhile, due to the unreasonable distribution of internal airflow organization, hot airflow circulation and cold airflow bypass phenomena exist; due to multiple complex reasons, local supercooling and overheating temperature areas are easily formed in a machine room, and the refrigeration efficiency of a tail end air handling unit (tail end cooling equipment) is reduced.
When a local overheating area occurs in the machine room, the air conditioning system does not accurately supply cold to the local overheating area, but strengthens the cold supply to the whole space; when a local supercooling area appears in a machine room, the cold supply of an air conditioning system is generally not reduced, so that the utilization efficiency of the cold at the tail end is low, and a large amount of energy is wasted. In order to avoid that individual servers run in an environment with overhigh temperature, most field maintenance personnel place a Computer room tail end air handling unit (tail end cooling equipment) in a power frequency running state to supply cold at overhigh temperature to the environment of the machine room, so that great energy consumption waste is caused; or a method of simply adding a plurality of cabinet type single air conditioners for cooling in a local overheating area is adopted, but the power consumption of the plurality of single air conditioners is large, the refrigerating efficiency is not high, and the energy consumption of the tail end is greatly increased. Therefore, finding a method for quickly and accurately optimizing the thermal environment of a machine room is crucial to building green IDCs.
Disclosure of Invention
The invention mainly aims to overcome the defects and shortcomings of the prior art, and provides an IDC air conditioning system energy consumption optimization method, system and medium based on machine room thermal environment gridding, aiming at accurately, quickly and effectively eliminating overheating/supercooling areas in a machine room and maximally utilizing the refrigeration capacity of the air conditioning system. Compared with the operation of the existing air-conditioning system, the operation energy efficiency of the air-conditioning tail end system can be further improved.
In order to achieve the purpose, the invention adopts the following technical scheme:
one aspect of the invention provides an IDC air conditioning system energy consumption optimization method based on machine room thermal environment gridding, which comprises the following steps:
optimizing the cold and hot air flow structure in the machine room;
performing gridding division on the machine room space;
constructing a matching relation between a temperature field of a grid area of a machine room and tail end cooling equipment which runs nearby;
quantifying the temperature distribution of the grid area;
comparing the grid real-time temperature obtained through quantification with a set grid temperature threshold value;
the sequential optimization regulation and control of the air conditioner cooling equipment comprises the following steps: based on the real-time temperature distribution condition, the coupling matching relation between the tail end cooling equipment and the temperature field is utilized to carry out accurate cooling; and performing sequential level optimization regulation and control on other equipment.
As a preferred technical scheme, the optimization of the cold and hot air flow organization in the machine room is specifically to optimize the air flow organization according to the actual condition in the machine room, seal the cold channel and prevent cold bypass;
the opening and closing state of a return air inlet and the condition of the return air area are adjusted according to the real-time condition of the return air temperature of the machine room, high-temperature hot air is discharged quickly, and low-temperature cold air is prevented from flowing back.
As a preferred technical scheme, the gridding division of the machine room space specifically comprises:
arranging temperature sensors at the air inlet end and the air outlet end of any cabinet, setting the temperature sensor at the air inlet end as cold spot temperature Tc, and setting the temperature sensor at the air outlet end as hot spot temperature Th;
dividing the machine room space into n equal-volume grids, wherein the temperature of each grid is the average value of all monitored temperatures in the grid area
Grid sampling temperature
And setting a grid temperature threshold value, including the upper limit and the lower limit of a temperature monitoring alarm threshold value of a grid where a cold spot is located, and the upper limit and the lower limit of a temperature monitoring alarm threshold value of a grid where a hot spot is located.
As a preferred technical scheme, the establishing of the matching relationship between the temperature field of the machine room grid area and the cooling equipment at the tail end which runs adjacent to the machine room grid area specifically includes:
and searching the matching relation between the optimal control heat partition and the tail end cooling equipment based on various influence factors such as air supply pipe network resistance balance, airflow distribution characteristics and the like, determining the regulation and control sequence level relation between all grid areas and the tail end equipment, namely the sequence of the tail end equipment regulated and controlled by the grid areas preferentially, and completing cooling.
As a preferred technical solution, the comparing the grid real-time temperature obtained by quantification with the set grid temperature threshold specifically includes:
according to the result of the grid division, based on the temperature value T acquired by the temperature sensor i Calculating the average temperature collected by all temperature sensors in any grid area
Average temperature of each grid area
Comparing the temperature with the upper limit of the set zone temperature threshold one by one;
as a preferred technical scheme, the sequential optimization regulation and control of the air-conditioning cooling equipment comprises overheating sequential optimization regulation and control and supercooling sequential optimization regulation and control.
As a preferred technical scheme, the optimal regulation and control of the overheating sequence level specifically comprises the following steps:
if any grid monitors the temperature
If the frequency is larger than or equal to the upper limit of the set zone temperature threshold, judging whether the frequency of the tail end cooling equipment of the associated tail end cooling equipment of the grid is larger than or equal to a first set tail end cooling equipment frequency, and if not, increasing the frequency of the associated tail end cooling equipment; if so, judging whether the frequency of all the tail end cooling equipment is greater than or equal to the first set frequency of the tail end cooling equipment;
if the frequency of all the tail end cooling equipment is less than the set tail end cooling equipment frequency I, the frequency of the tail end cooling equipment is increased according to the sequence level matching relation, otherwise, whether the opening degree of the valve is more than or equal to the set opening degree I is judged;
if the valve opening is smaller than the set opening one, the valve opening is increased, otherwise, whether the water pump frequency is larger than or equal to the set water pump frequency one is judged;
if the water pump frequency is less than the set water pump frequency one, increasing the water pump frequency, otherwise, judging whether the frequency of all the running water pumps is more than or equal to the set water pump frequency one;
if the frequency of at least 1 operating water pump is less than the set water pump frequency one, increasing the frequency of the water pumps which do not operate at power frequency, otherwise, judging whether all the water pumps are started;
if all the water pumps are started, the temperature of the frozen outlet water is reduced; otherwise, increasing the number of running water pumps;
collecting the grid temperature at the next moment, and comparing the average temperature of the grid area
And a set upper zone temperature threshold.
As a preferred technical scheme, the supercooling sequence level optimization regulation specifically comprises:
if any grid monitors the temperature
If the frequency is less than or equal to the lower limit of the set zone temperature threshold, judging whether the frequency of the related terminal cooling equipment of the grid is less than or equal to a set terminal cooling equipment frequency II, and if not, reducing the frequency of the related terminal cooling equipment; if so, judging whether the frequency of all the tail end cooling equipment is less than or equal to a set second tail end cooling equipment frequency;
if the frequency of all the tail end cooling equipment is greater than the set tail end cooling equipment frequency II, the frequency of the tail end cooling equipment is reduced according to the sequence level matching relation, and if not, whether the opening of the valve is smaller than or equal to the set opening II is judged;
if the valve opening is larger than the set opening II, the valve opening is reduced, otherwise, whether the water pump frequency is smaller than or equal to the set water pump frequency II is judged;
if the water pump frequency is greater than the set water pump frequency II, the water pump frequency is reduced, otherwise, whether the number of the water pumps in operation is greater than or equal to 1 is judged;
if only 1 water pump runs, the outlet water temperature of the chilled water is increased; otherwise, judging whether the frequency of all the running water pumps is less than or equal to the set water pump frequency II;
if the frequency of at least 1 operating water pump is greater than the set water pump frequency two, reducing the water pump frequency with the frequency greater than the set water pump frequency two, otherwise, reducing the number of operating water pumps;
collecting the grid temperature at the next moment, and comparing the average temperature of the grid area
And a set zone temperature lower threshold.
The invention also provides an IDC air conditioning system energy consumption optimization system based on the heat environment gridding of the machine room, which is applied to the IDC air conditioning system energy consumption optimization method based on the heat environment gridding of the machine room and comprises an airflow organization optimization module, a gridding module, a matching comparison module and a sequence level optimization regulation and control module;
the air flow structure optimization module is used for optimizing the cold and hot air flow structure in the machine room;
the gridding module is used for gridding and dividing the machine room space;
the matching comparison module is used for constructing a matching relation between a temperature field of a computer room grid area and tail end cooling equipment which runs nearby; quantifying the temperature distribution of the grid area; comparing the grid real-time temperature obtained through quantification with a set grid temperature threshold value;
the sequential optimization regulation and control module is used for performing sequential optimization regulation and control on the air-conditioning cooling equipment, and comprises: based on the real-time temperature distribution condition, the coupling matching relation between the tail end cooling equipment and the temperature field is utilized to carry out accurate cooling; and performing sequential level optimization regulation and control on other equipment.
In another aspect of the present invention, a storage medium is provided, which stores a program, and when the program is executed by a processor, the method for optimizing energy consumption of an IDC air conditioning system based on grid of machine room thermal environment is implemented.
Compared with the prior art, the invention has the following advantages and beneficial effects:
(1) The invention solves the problem of mismatching of cooling supply of the tail-end air conditioner, accurately positions the supercooling superheat area, improves the utilization rate of cooling capacity, reduces cost and improves efficiency.
(2) The invention provides a method for quickly realizing the optimization of the airflow organization of the machine room environment, which can shorten the optimization and reconstruction period of the indoor airflow organization.
(3) The invention optimizes the regulation priority sequence of the terminal equipment and can improve the effectiveness of the optimization control of the air conditioning system.
Drawings
FIG. 1 is a flow chart of an IDC air conditioning system energy consumption optimization method based on machine room thermal environment meshing according to an embodiment of the invention;
FIG. 2 is a plan view of a machine room for fast optimization of airflow organization according to an embodiment of the present invention;
fig. 3 is a diagram of association between a room grid and a terminal end cooling device according to an embodiment of the present invention;
FIG. 4 is a schematic diagram of grid acquisition temperatures in accordance with an embodiment of the present invention;
FIG. 5 is a schematic diagram of an air conditioning system device sequential level regulation optimization logic when the grid temperature is above the upper threshold limit in accordance with an embodiment of the present invention;
FIG. 6 is a schematic diagram of an air conditioning system plant sequence level regulation optimization logic for embodiments of the present invention in which the grid temperature is below a lower threshold limit;
fig. 7 is a schematic structural diagram of an IDC air conditioning system energy consumption optimization system based on grid formation of a thermal environment of a machine room according to an embodiment of the present invention;
fig. 8 is a schematic structural diagram of a storage medium according to an embodiment of the present invention.
Detailed Description
In order to make the technical solutions better understood by those skilled in the art, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. It is to be understood that the embodiments described are only a few embodiments of the present application and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
Examples
As shown in fig. 1, the embodiment provides an IDC air conditioning system energy consumption optimization method based on machine room thermal environment meshing, which includes the following steps:
s1, optimizing cold and hot air flow organization in a machine room;
s1.1, optimizing airflow organization according to the actual condition in a machine room, and sealing cold channels (two rows of cabinets are placed face to face, and channels with cold spots on both sides of the channels are called cold channels) to prevent cold quantity bypass (as shown in figure 2);
s1.2, setting the distribution condition of a return air inlet according to the real-time condition of the return air temperature of the machine room, quickly discharging high-temperature hot air, and preventing low-temperature cold air from flowing back.
S2, gridding division is carried out on the machine room space, and the method specifically comprises the following steps: s2.1, arranging temperature sensors at an air inlet end and an air outlet end of any cabinet, setting the temperature sensor at the air inlet end as a cold spot temperature Tc, and setting the temperature sensor at the air outlet end as a hot spot temperature Th;
s2.2, dividing the machine room space into n equal-volume grids (as shown in figure 4), wherein the temperature of each grid is the average value of all monitored temperatures in the grid area
Grid sampling temperature
S2.3, setting a grid temperature threshold, wherein the grid temperature threshold comprises an upper temperature monitoring alarm threshold (set to 26 ℃ in the embodiment) of a grid where a cold point is located and a lower temperature monitoring alarm threshold (set to 22 ℃ in the embodiment) of the grid where the cold point is located; an upper limit of a grid temperature monitoring alarm threshold (set to 32 ℃ in the embodiment) of the hot spot, and a lower limit of a grid temperature monitoring alarm threshold (set to 28 ℃ in the embodiment) of the hot spot;
s3, establishing a matching relation between a grid region temperature field of the machine room and cold supply of the tail end cold supply operation equipment which is operated nearby, quantifying the temperature distribution of the grid region, and carrying out accurate cold supply matching on the obtained grid and the tail end cold supply equipment, wherein the matching relation is specifically as follows: the grids are associated with the end terminal cooling devices according to a near principle (as shown in fig. 3), wherein 1-7 columns of grid associated end cooling devices 1,8-13 columns of grid associated end cooling devices 2, 14-20 columns of grid associated end cooling devices 3, 21-26 columns of grid associated end cooling devices 4, and 27-33 columns of grid associated end cooling devices 5.
Based on various influence factors such as air supply pipe network resistance balance and airflow distribution characteristics, the matching relation between the optimally controlled hot partition and the tail end cooling equipment (the tail end cooling equipment is not limited to the tail end cooling equipment, but can also be various equipment such as CRAC (crack open circuit control) and split machines is found, the regulation and control sequence level relation between all grid areas and the tail end equipment is determined, namely the sequence of the tail end equipment regulated and controlled preferentially by the grid areas, and cooling is completed. ( Assuming 4 devices at the end, namely, determining the matching relationship between any grid space and the 4 devices, for example, determining the thermal regulation relationship level between the grid 1 area and the end device is: the method comprises the steps that the equipment 1 is greater than the equipment 2 is greater than the equipment 3 is greater than the equipment 4, if the monitored temperature of the grid 1 area is not in the set interval, the equipment 1 is regulated firstly, the equipment 2 and the equipment 3 are regulated secondly, and the equipment 4 is regulated finally )
S4, comparing the grid real-time temperature obtained through quantification with a set grid temperature threshold, specifically:
according to the result of the grid division, based on the temperature value T collected by the temperature sensor i Calculating the average temperature collected by all temperature sensors in any grid area
Average temperature of each grid area
Comparing the temperature with the upper limit of the set zone temperature threshold one by one;
s5, carrying out overheating sequence level optimization regulation and control on the air conditioner cooling equipment, wherein the overheating sequence level optimization regulation and control comprises the following steps: based on the real-time temperature distribution condition, carrying out accurate cooling by utilizing the coupling matching relationship between the tail end cooling equipment and the temperature field; performing sequential optimization regulation and control on other equipment; as shown in fig. 5 and 6.
S5.1, taking optimization of the operation state of the air conditioning system device when the grid temperature of the machine room is higher than the upper limit of the grid temperature threshold as an example, a specific implementation of the present invention is described, as shown in fig. 6. Specifically, in this embodiment, the first frequency of the end cooling device is set to 50Hz, the first opening degree is set to 100%, and the first frequency of the water pump is set to 50Hz.
S5.1.1, monitoring temperature if any grid
If the frequency is greater than or equal to the upper limit of the set zone temperature threshold, judging whether the frequency of the related tail end cooling equipment of the grid is greater than or equal to a first set tail end cooling equipment frequency, and if not, increasing the frequency of the related tail end cooling equipment (in the embodiment, increasing the frequency by 3Hz every time); if so, determineWhether the frequency of all the tail end cooling equipment is greater than or equal to the set first frequency of the tail end cooling equipment;
s5.1.2, if the frequency of all the tail end cooling equipment is less than the set first frequency of the tail end cooling equipment, increasing the frequency of the tail end cooling equipment at the nearest position according to the principle of proximity (in the embodiment, increasing the frequency by 3Hz every time), otherwise, judging whether the opening of the valve is greater than or equal to the set first opening;
s5.1.3, if the valve opening is smaller than the set opening one, increasing the valve opening (in the embodiment, increasing by 3% each time), otherwise, judging whether the water pump frequency is larger than or equal to the set water pump frequency one;
s5.1.4, if the water pump frequency is lower than the set water pump frequency one, increasing the water pump frequency (in the embodiment, increasing the water pump frequency by 3Hz every time), otherwise, judging whether the frequency of all the running water pumps is greater than or equal to the set water pump frequency one;
s5.1.5, if the frequency of at least 1 running water pump is less than the set water pump frequency one, increasing the frequency of the water pumps which do not run at the power frequency (in the embodiment, increasing the frequency by 3Hz every time), and otherwise, judging whether all the water pumps are started;
s5.1.6, if all the water pumps are started, reducing the temperature of the frozen outlet water; otherwise, increasing the number of running water pumps;
s5.1.7, collecting the grid temperature at the next moment, and comparing the average temperature of the grid area
And a set upper zone temperature threshold.
S5.2, a specific embodiment of the present invention is described by taking an example of optimizing the operation state of the air conditioning system device when the grid temperature of the machine room is lower than the grid temperature threshold lower limit, as shown in fig. 6. Specifically, in this embodiment, the second frequency of the end cooling device is set to 25Hz, the second opening is set to 45%, and the second frequency of the water pump is set to 30Hz.
S5.2.1, according to temperature value T collected by temperature sensors arranged at an air inlet end and an air outlet end of the cabinet i Calculating the grid mean temperature
(as shown in FIG. 4);
s5.2.2, averaging the temperature of each grid area
Comparing the temperature with the lower limit of the set zone temperature threshold one by one;
s5.2.3, monitoring the temperature if any grid
If the frequency is less than or equal to the lower limit of the set zone temperature threshold, judging whether the frequency of the associated tail end cooling equipment of the grid is less than or equal to a second set tail end cooling equipment frequency, and if not, reducing the frequency of the associated tail end cooling equipment (in the embodiment, reducing by 1Hz every time); if so, judging whether the frequency of all the tail end cooling equipment is less than or equal to a set second tail end cooling equipment frequency;
s5.2.4, if the frequency of all the tail end cooling equipment is greater than the set second tail end cooling equipment frequency, reducing the frequency of the tail end cooling equipment at the nearest position according to the principle of closeness (in the embodiment, reducing by 1Hz every time), and otherwise, judging whether the opening of the valve is less than or equal to the set second opening;
s5.2.5, if the valve opening is larger than the set opening II, reducing the valve opening (in the embodiment, reducing by 1% every time), otherwise, judging whether the water pump frequency is smaller than or equal to the set water pump frequency II;
s5.2.6, if the water pump frequency is greater than the set water pump frequency II, reducing the water pump frequency (in the embodiment, reducing by 1Hz every time), otherwise, judging whether the number of the water pumps in operation is greater than or equal to 1;
s5.2.7, if only 1 water pump runs, increasing the outlet water temperature of the chilled water; otherwise, judging whether the frequency of all the running water pumps is less than or equal to the set water pump frequency II;
s5.2.8, if the frequency of at least 1 operating water pump is greater than the set water pump frequency II, reducing the water pump frequency with the frequency greater than the set water pump frequency II (in the embodiment, reducing by 1Hz every time), otherwise, reducing the number of operating water pumps;
s5.2.9, collecting the grid temperature at the next moment, and comparing the average temperature of the grid area
And a set zone temperature lower threshold.
As shown in fig. 7, in another embodiment of the present application, there is provided an IDC air conditioning system energy consumption optimization system based on grid of machine room thermal environment, which includes an airflow organization optimization module, a grid module, a matching comparison module, and a sequential level optimization regulation module;
the air flow structure optimizing module is used for optimizing the cold and hot air flow structure in the machine room;
the gridding module is used for gridding and dividing the machine room space;
the matching comparison module is used for constructing a matching relation between a temperature field of a machine room grid area and tail end cooling equipment which runs nearby; quantifying the temperature distribution of the grid area; comparing the grid real-time temperature obtained through quantification with a set grid temperature threshold value;
the sequential optimization regulation and control module is used for performing sequential optimization regulation and control on air conditioner cooling equipment and comprises: based on the real-time temperature distribution condition, the coupling matching relation between the tail end cooling equipment and the temperature field is utilized to carry out accurate cooling; and performing sequential optimization regulation and control on other equipment.
It should be noted that, the system provided in the foregoing embodiment is only exemplified by the division of the above functional modules, and in practical applications, the above function allocation may be completed by different functional modules as needed, that is, the internal structure is divided into different functional modules to complete all or part of the above described functions.
As shown in fig. 8, in another embodiment of the present application, a storage medium is further provided, where the storage medium stores a program, and when the program is executed by a processor, the method for optimizing energy consumption of an IDC air conditioning system based on grid of a thermal environment of a machine room is implemented, specifically:
optimizing the cold and hot air flow structure in the machine room;
performing gridding division on the machine room space;
constructing a matching relation between a temperature field of a grid area of a machine room and tail end cooling equipment which runs nearby;
quantifying the temperature distribution of the grid area;
comparing the grid real-time temperature obtained through quantification with a set grid temperature threshold value;
carry out order level optimization regulation and control to air conditioner cooling equipment, include: based on the real-time temperature distribution condition, carrying out accurate cooling by utilizing the coupling matching relationship between the tail end cooling equipment and the temperature field; and performing sequential level optimization regulation and control on other equipment.
It should be understood that portions of the present application may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, various steps or methods may be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
The above embodiments are preferred embodiments of the present invention, but the present invention is not limited to the above embodiments, and any other changes, modifications, substitutions, combinations, and simplifications which do not depart from the spirit and principle of the present invention should be construed as equivalents thereof, and all such changes, modifications, substitutions, combinations, and simplifications are intended to be included in the scope of the present invention.
Claims (10)
1. An IDC air conditioning system energy consumption optimization method based on machine room thermal environment gridding is characterized by comprising the following steps:
optimizing cold and hot air flow organization in a machine room;
carrying out gridding division on the machine room space;
constructing a matching relation between a temperature field of a grid area of a machine room and tail-end cooling equipment which runs nearby;
quantifying the temperature distribution of the grid area;
comparing the grid real-time temperature obtained through quantification with a set grid temperature threshold value;
the sequential optimization regulation and control of the air conditioner cooling equipment comprises the following steps: based on the real-time temperature distribution condition, the coupling matching relation between the tail end cooling equipment and the temperature field is utilized to carry out accurate cooling; and performing sequential level optimization regulation and control on other equipment.
2. The IDC air conditioning system energy consumption optimization method based on machine room thermal environment meshing as claimed in claim 1, wherein the hot air flow organization in the machine room is optimized, in particular to optimize the hot air flow organization in the machine room
Optimizing airflow organization according to the actual condition in the machine room, sealing the cold channel and preventing cold quantity bypass;
the opening and closing state of a return air inlet and the condition of the return air area are adjusted according to the real-time condition of the return air temperature of the machine room, high-temperature hot air is discharged quickly, and low-temperature cold air is prevented from flowing back.
3. The IDC air conditioning system energy consumption optimization method based on machine room thermal environment meshing as claimed in claim 1, wherein the machine room space is divided into meshes, specifically:
arranging temperature sensors at an air inlet end and an air outlet end of any cabinet, setting the temperature sensor at the air inlet end as a cold spot temperature Tc, and setting the temperature sensor at the air outlet end as a hot spot temperature Th;
dividing the machine room space into n equal-volume grids, wherein the temperature of each grid is the average value of all monitored temperatures in the grid area
Grid sampling temperature
And setting a grid temperature threshold value, including the upper limit and the lower limit of the temperature monitoring alarm threshold value of the grid where the cold spot is located and the upper limit and the lower limit of the temperature monitoring alarm threshold value of the grid where the hot spot is located.
4. The IDC air conditioning system energy consumption optimization method based on machine room thermal environment gridding according to claim 1, wherein the construction of the matching relationship between the temperature field of the machine room grid area and the terminal cooling equipment which is operated nearby specifically comprises the following steps:
and searching for the matching relation between the optimal control heat partition and the tail end cooling equipment based on various influence factors such as air supply pipe network resistance balance, airflow distribution characteristics and the like, determining the regulation and control sequence level relation between all grid areas and the tail end equipment, namely the sequence of the tail end equipment which is preferentially regulated and controlled by the grid areas, and completing cooling.
5. The IDC air conditioning system energy consumption optimization method based on machine room thermal environment meshing of claim 1, wherein the grid real-time temperature obtained through quantification is compared with a set grid temperature threshold, specifically:
according to the result of the grid division, based on the temperature value T acquired by the temperature sensor i Calculating the average temperature collected by all temperature sensors in any grid area
Average temperature of each grid area
And comparing the temperature with the upper limit of the set zone temperature threshold one by one.
6. The IDC air conditioning system energy consumption optimization method based on machine room thermal environment meshing of claim 1, wherein the sequential optimization regulation and control of the air conditioning cooling equipment comprises overheating sequential optimization regulation and supercooling sequential optimization regulation and control.
7. The IDC air conditioning system energy consumption optimization method based on machine room thermal environment gridding according to claim 6, wherein the overheating sequence level optimization regulation specifically comprises:
if any grid monitors the temperature
If the frequency is larger than or equal to the upper limit of the set zone temperature threshold, judging whether the frequency of the tail end cooling equipment of the associated tail end cooling equipment of the grid is larger than or equal to a first set tail end cooling equipment frequency, and if not, increasing the frequency of the associated tail end cooling equipment; if so, judging whether the frequency of all the tail end cooling equipment is greater than or equal to a first set frequency of the tail end cooling equipment;
if the frequency of all the tail end cooling equipment is less than the set tail end cooling equipment frequency I, the frequency of the tail end cooling equipment is increased according to the sequence level matching relation, otherwise, whether the opening degree of the valve is more than or equal to the set opening degree I is judged;
if the valve opening is smaller than the set opening one, the valve opening is increased, otherwise, whether the water pump frequency is larger than or equal to the set water pump frequency one is judged;
if the water pump frequency is less than the set water pump frequency one, increasing the water pump frequency, otherwise, judging whether the frequency of all the running water pumps is more than or equal to the set water pump frequency one;
if the frequency of at least 1 operating water pump is less than the set water pump frequency one, increasing the frequency of the water pumps which do not operate at power frequency, otherwise, judging whether all the water pumps are started;
if all the water pumps are started, the temperature of the frozen outlet water is reduced; otherwise, increasing the number of running water pumps;
collecting the grid temperature at the next moment, and comparing the average temperature of the grid area
And a set upper zone temperature threshold.
8. The IDC air conditioning system energy consumption optimization method based on machine room thermal environment gridding according to claim 6, wherein the supercooling sequence level optimization regulation is specifically:
if any grid monitors the temperature
If the frequency is less than or equal to the lower limit of the set zone temperature threshold, judging whether the frequency of the related terminal cooling equipment of the grid is less than or equal to a set terminal cooling equipment frequency II, and if not, reducing the frequency of the related terminal cooling equipment; if so, judging whether the frequency of all the tail end cooling equipment is less than or equal to a set second tail end cooling equipment frequency;
if the frequency of all the tail end cooling equipment is greater than the set second frequency of the tail end cooling equipment, the frequency of the tail end cooling equipment is reduced according to the sequence level matching relation, and if not, whether the opening degree of the valve is smaller than or equal to the set second opening degree is judged;
if the valve opening is larger than the set opening II, the valve opening is reduced, otherwise, whether the water pump frequency is smaller than or equal to the set water pump frequency II is judged;
if the water pump frequency is greater than the set water pump frequency II, reducing the water pump frequency, otherwise, judging whether the number of the water pumps in operation is greater than or equal to 1;
if only 1 water pump runs, the outlet water temperature of the chilled water is increased; otherwise, judging whether the frequency of all the running water pumps is less than or equal to the set water pump frequency II;
if the frequency of at least 1 operating water pump is greater than the set water pump frequency two, reducing the water pump frequency with the frequency greater than the set water pump frequency two, otherwise, reducing the number of operating water pumps;
collecting the grid temperature at the next moment, and comparing the average temperature of the grid area
And a set zone temperature lower threshold.
9. The IDC air conditioning system energy consumption optimization system based on the computer room thermal environment gridding is characterized by being applied to the IDC air conditioning system energy consumption optimization method based on the computer room thermal environment gridding in any one of claims 1-8, and comprising an airflow organization optimization module, a gridding module, a matching comparison module and a sequence level optimization regulation and control module;
the air flow structure optimizing module is used for optimizing the cold and hot air flow structure in the machine room;
the gridding module is used for gridding and dividing the machine room space;
the matching comparison module is used for constructing a matching relation between a temperature field of a computer room grid area and tail end cooling equipment which runs nearby; quantifying the temperature distribution of the grid area; comparing the grid real-time temperature obtained through quantification with a set grid temperature threshold value;
the sequential optimization regulation and control module is used for performing sequential optimization regulation and control on the air-conditioning cooling equipment, and comprises: based on the real-time temperature distribution condition, the coupling matching relation between the tail end cooling equipment and the temperature field is utilized to carry out accurate cooling; and performing sequential optimization regulation and control on other equipment.
10. A storage medium storing a program, characterized in that: when being executed by a processor, the program realizes the IDC air conditioning system energy consumption optimization method based on the computer room thermal environment gridding in any claim 1-8.
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| CN115460895A (en) * | 2022-11-10 | 2022-12-09 | 武汉至驱动力科技有限责任公司 | Electronic water pump controller heat dissipation method based on temperature field image information |
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| JPH01277144A (en) * | 1988-04-28 | 1989-11-07 | Sanki Eng Co Ltd | Air-conditioning equipment |
| CN106568174A (en) * | 2016-11-09 | 2017-04-19 | 上海允登信息科技有限公司 | Control system and method for temperatures of computer room |
| CN113438863A (en) * | 2021-06-23 | 2021-09-24 | 广州远正智能科技股份有限公司 | Cold and hot channel isolation energy-saving regulation and control system and method of door curtain type device |
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| JPH01277144A (en) * | 1988-04-28 | 1989-11-07 | Sanki Eng Co Ltd | Air-conditioning equipment |
| CN106568174A (en) * | 2016-11-09 | 2017-04-19 | 上海允登信息科技有限公司 | Control system and method for temperatures of computer room |
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| CN115460895A (en) * | 2022-11-10 | 2022-12-09 | 武汉至驱动力科技有限责任公司 | Electronic water pump controller heat dissipation method based on temperature field image information |
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