CN116336611B - Intelligent high-efficiency machine room energy-saving method for central air-conditioning system - Google Patents
Intelligent high-efficiency machine room energy-saving method for central air-conditioning system Download PDFInfo
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- CN116336611B CN116336611B CN202310327680.7A CN202310327680A CN116336611B CN 116336611 B CN116336611 B CN 116336611B CN 202310327680 A CN202310327680 A CN 202310327680A CN 116336611 B CN116336611 B CN 116336611B
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- 238000004378 air conditioning Methods 0.000 title claims abstract description 28
- 238000000034 method Methods 0.000 title claims abstract description 22
- 230000020169 heat generation Effects 0.000 claims description 34
- 238000001816 cooling Methods 0.000 claims description 7
- 238000004364 calculation method Methods 0.000 claims description 6
- 238000005057 refrigeration Methods 0.000 claims description 6
- 238000005265 energy consumption Methods 0.000 description 3
- 238000001514 detection method Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 238000012423 maintenance Methods 0.000 description 2
- 239000000463 material Substances 0.000 description 2
- 230000001105 regulatory effect Effects 0.000 description 2
- 230000000087 stabilizing effect Effects 0.000 description 2
- 239000002699 waste material Substances 0.000 description 2
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Chemical compound O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 2
- 238000007792 addition Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000033228 biological regulation Effects 0.000 description 1
- 238000013500 data storage Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000009834 vaporization Methods 0.000 description 1
- 230000008016 vaporization Effects 0.000 description 1
Classifications
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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
- F24F11/30—Control or safety arrangements for purposes related to the operation of the system, e.g. for safety or monitoring
- F24F11/46—Improving electric energy efficiency or saving
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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
- F24F11/50—Control or safety arrangements characterised by user interfaces or communication
- F24F11/61—Control or safety arrangements characterised by user interfaces or communication using timers
-
- 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
-
- 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
- F24F11/72—Control systems characterised by their outputs; Constructional details thereof for controlling the supply of treated air, e.g. its pressure
- F24F11/74—Control systems characterised by their outputs; Constructional details thereof for controlling the supply of treated air, e.g. its pressure for controlling air flow rate or air velocity
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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
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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
- F24F11/88—Electrical aspects, e.g. circuits
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F2110/00—Control inputs relating to air properties
- F24F2110/10—Temperature
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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
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B30/00—Energy efficient heating, ventilation or air conditioning [HVAC]
- Y02B30/70—Efficient control or regulation technologies, e.g. for control of refrigerant flow, motor or heating
Abstract
The invention discloses an intelligent high-efficiency machine room energy-saving method for a central air-conditioning system, which belongs to the technical field of industrial energy-saving control.
Description
Technical Field
The invention belongs to the technical field of industrial energy-saving control, and particularly relates to an intelligent high-efficiency machine room energy-saving method for a central air-conditioning system.
Background
The machine room is used for storing the server and providing IT service for users and staff, the machine room is a center for data storage in the Internet age and also a center for data circulation, and along with the high-speed development of the Internet, the maintenance cost of the machine room is higher and higher, wherein the energy consumption of the constant temperature system is one of main components in the maintenance cost of the machine room, so that the method has great significance on how to reduce the energy consumption of the constant temperature system in the machine room;
in the prior art, a central air conditioner is an important component of a constant temperature system of a machine room, so that how to reduce the energy consumption of the central air conditioner and improve the energy utilization efficiency is a main method for reducing the running cost of the constant temperature system of the machine room, the temperature in the machine room is monitored by a temperature sensor arranged in the machine room, the output power of the central air conditioner is regulated according to the temperature difference between the inside and the outside of the machine room and the set temperature, but the mode can cause frequent output fluctuation and even start and stop of a main machine of the central air conditioner, the service life of the main machine of the air conditioner is influenced, and the refrigerating capacity redundancy in the machine room is easily caused, so that the energy waste is caused.
Disclosure of Invention
The invention aims to provide an intelligent efficient machine room energy-saving method for a central air-conditioning system, which solves the problems of high frequency of power adjustment of a central air-conditioning system of a machine room, energy waste caused by redundancy of refrigerating capacity and the like in the prior art.
The aim of the invention can be achieved by the following technical scheme:
the intelligent energy-saving method for the high-efficiency machine room for the central air-conditioning system comprises the following steps:
s1, dividing the space in a machine room into a plurality of sub-areas, wherein each sub-area is correspondingly provided with at least one air conditioner air outlet;
at least one temperature sensor is correspondingly arranged in each subarea;
marking each subarea as Y1, Y2, … and Yn in sequence, wherein n is the number of subareas in a machine room;
s2, uniformly dividing the time of day into m time domains, and marking the m time domains as Q1, Q2, … and Qm in sequence;
calculating to obtain the average heat generation amount Upp of the sub-region Yi at the time domain Qj stage; j is more than or equal to 1 and less than or equal to k;
s3, acquiring real-time temperature T in the subarea Yi through a temperature sensor, and acquiring real-time humidity R (moisture content kg/kg dry air) in the subarea Yi through a humidity sensor;
wherein i is more than or equal to 1 and less than or equal to n;
calculating according to the formula H=1.01T+ (2500+1.84T) and obtaining a real-time air enthalpy value H ((kj/kg dry air) in the subarea Yi;
calculating according to a formula h1=1.01×t1+ (2500+1.84t) R to obtain an air enthalpy value H1 when the preset temperature T1 is reached in the sub-region Yi;
t1 is a preset constant temperature required in the machine room;
according to the formula g=h-h1×vi×ρt/calculating to obtain the refrigerating capacity G required for cooling the sub-area Yi from T to T1;
wherein T is a preset time, which represents the time required for cooling the subarea Yi from T to T1, vi is the volume of the subarea Yi, and ρ is the air density;
s4, for the subarea Yi, when the absolute value T-T1 absolute value is more than or equal to Ty, marking the subarea Yi as a difference area;
wherein Ty is a preset value greater than 0;
when T is larger than T1, marking the corresponding difference area as a positive difference area, otherwise, when T is smaller than T1, marking the corresponding difference area as a negative difference area;
marking all difference areas in the machine room;
for the forward difference region, the predicted heat generation amount Uy and the predicted heat generation amount Uy in the future ty1 time according to the sub-region Yi
The refrigeration capacity G required by the fact that the current temperature of the sub-area Yi is reduced to H1 in the future ty time is calculated under the condition that the heat is not produced outwards, so that the refrigeration capacity Gs actually required by the fact that the current temperature of the sub-area Yi is reduced to H1 in the future ty time is obtained;
marking the difference areas in the subareas at intervals of preset time ty, and adjusting the refrigerating capacity of each difference area before marking the difference areas next time;
s5, marking the difference area in the machine room to obtain a forward difference area;
calculating to obtain the sum Gsz of the refrigerating capacities Gs actually required by each forward difference region from the current temperature to H1 in the future ty time;
when Gsz is larger than a preset threshold Gs1, the output power of the central air conditioning system is increased;
when Gsz is smaller than another preset threshold value Gs2, reducing the output power of the central air conditioning system; wherein Gs1 > Gs2.
As a further scheme of the invention, when dividing the subareas, the positions of the corresponding air-conditioning outlets are positioned at the middle positions of the tops or the bottoms of the subareas.
As a further aspect of the present invention, the duration of one time domain is 15min.
As a further scheme of the present invention, the calculation method of the average heat generation amount Upp of the sub-region Yi in the time domain Qj is as follows:
for the subarea Yi, acquiring heat generation amounts U in k continuous time domains Qj, and marking the data of the k heat generation amounts U as U1, U2, … and Uk in sequence;
according to the formulaCalculating to obtain a discrete coefficient F of the group of data from U1 to Uk;
when F is less than or equal to Fy, taking Up as the average heat generation quantity Upp of the subregion Yi in the time domain Qj;
when F is larger than Fy, deleting corresponding Uj values in sequence from large to small according to the value of |Uj-Up| and calculating a discrete coefficient F of the remaining undeleted Uj values until F is smaller than or equal to Fy and is true, taking an average value of the remaining undeleted Uj values as an average heat generation value Upp of the sub-region Yi in the time domain Qj stage if x/k is smaller than or equal to gamma, and taking a product of the average value of the remaining undeleted Uj values and 1+lambda x/k as the average heat generation value Upp of the sub-region Yi in the time domain Qj stage if x/k is not smaller than or equal to gamma;
wherein up= (u1+u2+, …, +uk)/k, fy is a preset value.
As a further aspect of the present invention, the method for adjusting the refrigerating capacity of each difference region includes:
for the forward difference region, the flow of the corresponding air conditioner air outlet is improved, and the larger the corresponding actually required refrigerating capacity Gs is, the larger the flow of the corresponding air conditioner air outlet is improved;
and for the negative direction difference region, the flow of the air conditioner air outlet corresponding to the negative direction difference region is reduced, and the larger the |T-T1| is, the larger the flow reduction amplitude of the air conditioner air outlet corresponding to the negative direction difference region is.
As a further proposal of the invention, in the process of adjusting the flow of the air outlet of the air conditioner, a flow change threshold Ly of an air conditioner air outlet is preset, and in a period of a ty1, the flow change of any air conditioner air outlet is not more than Ly.
As a further scheme of the invention, the calculation method of the predicted heat generation amount Uy of the sub-region Yi in the future ty1 time is as follows:
firstly, judging the time domain occupied by the future ty1 time and the duty ratio ef in each time domain for the subarea Yi;
according to the formulaCalculating to obtain Uy;
wherein f is more than or equal to 1 and less than or equal to f1, f1 is the number of time domains occupied by the future ty1 time, and Uppf is the average heat generation amount of the corresponding time domains.
The invention has the beneficial effects that:
1. the invention firstly divides the machine room area and respectively monitors and analyzes the heat change in each area, thereby obtaining the actual refrigerating capacity which is needed to be output by the corresponding air conditioner air outlet in a future period of time, and adjusting the opening degree of the air conditioner air outlet according to the different refrigerating capacities which are corresponding to the subareas, compared with the traditional mode of adjusting the power of the central air conditioner host by taking the detection temperature of the temperature sensor as an index, the invention can reduce the output power adjusting frequency of the central air conditioner system, reduce the loss of the central air conditioner system and simultaneously has good integral temperature stabilizing effect of the machine room,
2. compared with the prior art, the invention directly carries out output regulation and control by taking the temperature detected by the temperature sensor as an index, can avoid the situation that the temperature of a local area is too high and the temperature of the local area is too low in a machine room, also avoids the situation that the refrigerating capacity of a central air conditioner is relatively redundant due to the fact that the temperature of the local area is too high, and realizes the energy-saving effect.
Detailed Description
The following description of the technical solutions in the embodiments of the present invention will be clear and complete, and it is obvious that the described embodiments are only some embodiments of the present invention, but not all embodiments. 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.
The intelligent energy-saving method for the high-efficiency machine room for the central air-conditioning system comprises the following steps:
s1, dividing the space in a machine room into a plurality of sub-areas, wherein each sub-area is correspondingly provided with at least one air conditioner air outlet;
at least one temperature sensor is correspondingly arranged in each subarea;
marking each subarea as Y1, Y2, … and Yn in sequence, wherein n is the number of subareas in a machine room;
in one embodiment of the present invention, when dividing the subareas, care needs to be taken that the positions of the corresponding air-conditioning outlets should be located at the middle positions of the top or bottom of the subareas as much as possible, so as to reduce the influence of the air-conditioning outlet refrigerating capacity variation in one subarea on the temperature variation of the adjacent subarea;
s2, uniformly dividing the time of day into m time domains, and marking the m time domains as Q1, Q2, … and Qm in sequence;
for the subarea Yi, acquiring heat generation amounts U in k continuous time domains Qj, and marking the data of the k heat generation amounts U as U1, U2, … and Uk in sequence;
wherein the span of a single time domain should not be too large, in one embodiment of the invention, the duration of one time domain is 15 minutes;
the heat generation amount U is calculated according to the actual conditions of the server and the machine room, and the calculation modes are various, so that the invention is not described in detail here;
according to the formulaCalculating to obtain a discrete coefficient F of the group of data from U1 to Uk;
when F is less than or equal to Fy, taking Up as the average heat generation quantity Upp of the sub-region Yi in the time domain Qj;
when F is larger than Fy, deleting corresponding Uj values in sequence from large to small according to the value of |Uj-Up| and calculating a discrete coefficient F of the remaining undeleted Uj values until F is smaller than or equal to Fy and is true, taking an average value of the remaining undeleted Uj values as an average heat generation value Upp of the sub-region Yi in the time domain Qj stage if x/k is smaller than or equal to gamma, and taking a product of the average value of the remaining undeleted Uj values and 1+lambda x/k as the average heat generation value Upp of the sub-region Yi in the time domain Qj stage if x/k is not smaller than or equal to gamma;
wherein j is more than or equal to 1 and less than or equal to k, up= (U1+U2+, …, +Uk)/k, and Fy is a preset value;
s3, acquiring real-time temperature T in the subarea Yi through a temperature sensor, and acquiring real-time humidity R (moisture content kg/kg dry air) in the subarea Yi through a humidity sensor;
wherein i is more than or equal to 1 and less than or equal to n;
calculating according to the formula H=1.01T+ (2500+1.84T) and obtaining a real-time air enthalpy value H ((kj/kg dry air) in the subarea Yi;
wherein 1.01 is the average constant pressure specific heat of dry air, the unit is kj/(kg.K), 1.84 is the average constant pressure specific heat of water vapor, the unit is kj/(kg.K), 2500 is the vaporization latent heat of water at 0 ℃, and the unit is kj/kg;
calculating according to a formula h1=1.01×t1+ (2500+1.84t) R to obtain an air enthalpy value H1 when the preset temperature T1 is reached in the sub-region Yi;
t1 is a preset constant temperature required in the machine room;
calculating according to a formula G= |H-H1|vi|rho/T to obtain the refrigerating capacity G required for cooling the sub-area Yi from T to T1;
wherein T is a preset time, which represents the time required for cooling the subarea Yi from T to T1, vi is the volume of the subarea Yi, and ρ is the air density;
s4, for the subarea Yi, when the absolute value T-T1 absolute value is more than or equal to Ty, marking the subarea Yi as a difference area;
wherein Ty is a preset value greater than 0;
when T is larger than T1, marking the corresponding difference area as a positive difference area, otherwise, when T is smaller than T1, marking the corresponding difference area as a negative difference area;
marking all difference areas in the machine room;
for the forward difference region, the predicted heat generation amount Uy and the predicted heat generation amount Uy in the future ty1 time according to the sub-region Yi
The refrigeration capacity G required by the fact that the current temperature of the sub-area Yi is reduced to H1 in the future ty time is calculated under the condition that the heat is not produced outwards, so that the refrigeration capacity Gs actually required by the fact that the current temperature of the sub-area Yi is reduced to H1 in the future ty time is obtained;
marking the difference areas in the subareas at intervals of preset time ty, and adjusting the refrigerating capacity of each difference area before marking the difference areas next time, specifically, for the forward difference areas, the flow of the corresponding air conditioner air outlets is improved, and the larger the corresponding actually required refrigerating capacity Gs is, the larger the flow of the corresponding air conditioner air outlets is improved;
for the negative direction difference region, the flow of the air conditioner air outlet corresponding to the negative direction difference region is reduced, and the larger the |T-T1| is, the larger the flow of the air conditioner air outlet corresponding to the negative direction difference region is reduced;
in one embodiment of the present invention, it should be noted that a flow rate change threshold Ly of an air conditioner air outlet is preset, and in the process of adjusting the flow rate of the air conditioner air outlet, in a period of ty1, the flow rate change of any air conditioner air outlet should be not greater than Ly;
the calculation method of the predicted heat generation amount Uy of the sub-region Yi in the future ty1 time comprises the following steps:
firstly, judging the time domain occupied by the future ty1 time and the duty ratio ef in each time domain for the subarea Yi;
according to the formulaCalculating to obtain Uy;
wherein f is more than or equal to 1 and less than or equal to f1, f1 is the number of time domains occupied by the future ty1 time, and Uppf is the average heat generation amount of the corresponding time domains;
s5, marking the difference area in the machine room to obtain a forward difference area;
calculating to obtain the sum Gsz of the refrigerating capacities Gs actually required by each forward difference region from the current temperature to H1 in the future ty time;
when Gsz is larger than a preset threshold Gs1, adjusting the output power of the central air conditioning system and improving the output power of the central air conditioning system;
when Gsz is smaller than another preset threshold value Gs2, the output power of the central air conditioning system is regulated, and the output power of the central air conditioning system is reduced;
wherein Gs1 > Gs2;
according to the invention, the machine room areas are divided, and the heat changes in the areas are respectively monitored and analyzed, so that the actual refrigerating capacity output by the corresponding air conditioner air outlets in a future period of time is obtained, the opening degree of the air conditioner air outlets is adjusted according to the difference of the refrigerating capacities corresponding to the subareas, compared with the mode of adjusting the power of a central air conditioner host by taking the detection temperature of a temperature sensor as an index in the prior art, the output power adjusting frequency of a central air conditioner system can be reduced, the loss of the central air conditioner system is reduced, the good integral temperature stabilizing effect of the machine room is realized, the situation that the temperature of the local area is too high and the temperature of the local area is too low in the machine room is avoided, the situation that the refrigerating capacity of the central air conditioner is relatively high due to the fact that the temperature of the local area is too high in the cooling is avoided, and the energy saving effect is realized.
In the description of the present specification, the descriptions of the terms "one embodiment," "example," "specific example," and the like, mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The foregoing is merely illustrative and explanatory of the invention, as various modifications and additions may be made to the particular embodiments described, or in a similar manner, by those skilled in the art, without departing from the scope of the invention or exceeding the scope of the invention as defined in the claims.
Claims (7)
1. The intelligent energy-saving method for the high-efficiency machine room for the central air-conditioning system is characterized by comprising the following steps of:
s1, dividing the space in a machine room into a plurality of sub-areas, wherein each sub-area is correspondingly provided with at least one air conditioner air outlet;
at least one temperature sensor is correspondingly arranged in each subarea;
marking each subarea as Y1, Y2, … and Yn in sequence, wherein n is the number of subareas in a machine room;
s2, uniformly dividing the time of day into m time domains, and marking the m time domains as Q1, Q2, … and Qm in sequence;
calculating to obtain the average heat generation amount Upp of the sub-region Yi at the time domain Qj stage; j is more than or equal to 1 and less than or equal to k;
s3, acquiring real-time temperature T in the subarea Yi through a temperature sensor, and acquiring real-time humidity R (moisture content kg/kg dry air) in the subarea Yi through a humidity sensor;
wherein i is more than or equal to 1 and less than or equal to n;
calculating according to the formula H=1.01T+ (2500+1.84T) and obtaining a real-time air enthalpy value H ((kj/kg dry air) in the subarea Yi;
calculating according to a formula h1=1.01×t1+ (2500+1.84t) R to obtain an air enthalpy value H1 when the preset temperature T1 is reached in the sub-region Yi;
t1 is a preset constant temperature required in the machine room;
according to the formulaThe refrigerating capacity G required by cooling the subarea Yi from T to T1 is obtained through calculation;
wherein T is a preset time, which represents the time required for cooling the subarea Yi from T to T1, vi is the volume of the subarea Yi, and ρ is the air density;
s4, for the subarea Yi, when the absolute value T-T1 absolute value is more than or equal to Ty, marking the subarea Yi as a difference area;
wherein Ty is a preset value greater than 0;
when T is larger than T1, marking the corresponding difference area as a positive difference area, otherwise, when T is smaller than T1, marking the corresponding difference area as a negative difference area;
marking all difference areas in the machine room;
for the forward difference region, the predicted heat generation amount Uy and the predicted heat generation amount Uy in the future ty1 time according to the sub-region Yi
The refrigeration capacity G required by the fact that the current temperature of the sub-area Yi is reduced to H1 in the future ty time is calculated under the condition that the heat is not produced outwards, so that the refrigeration capacity Gs actually required by the fact that the current temperature of the sub-area Yi is reduced to H1 in the future ty time is obtained;
wherein the predicted heat generation amount Uy is calculated from the average heat generation amount;
marking the difference areas in the subareas at intervals of preset time ty, and adjusting the refrigerating capacity of each difference area before marking the difference areas next time;
s5, marking the difference area in the machine room to obtain a forward difference area;
calculating to obtain the sum Gsz of the refrigerating capacities Gs actually required by each forward difference region from the current temperature to H1 in the future ty time;
when Gsz is larger than a preset threshold Gs1, the output power of the central air conditioning system is increased;
when Gsz is smaller than another preset threshold value Gs2, reducing the output power of the central air conditioning system; wherein Gs1 > Gs2.
2. The intelligent energy-saving method for a high-efficiency machine room for a central air-conditioning system according to claim 1, wherein the positions of the corresponding air-conditioning outlets are at the middle positions of the top or bottom of the subareas when the subareas are divided.
3. The intelligent energy-saving method for a high-efficiency machine room for a central air-conditioning system according to claim 1, wherein the time duration of one time domain is 15min.
4. The intelligent efficient machine room energy-saving method for the central air conditioning system according to claim 3, wherein the calculation method of the average heat generation amount Upp of the sub-area Yi in the time domain Qj is as follows:
for the subarea Yi, acquiring heat generation amounts U in k continuous time domains Qj, and marking the data of the k heat generation amounts U as U1, U2, … and Uk in sequence;
according to the formulaCalculating to obtain a discrete coefficient F of the group of data from U1 to Uk;
when F is less than or equal to Fy, taking Up as the average heat generation quantity Upp of the subregion Yi in the time domain Qj;
when F is larger than Fy, deleting corresponding Uj values in sequence from large to small according to the value of |Uj-Up| and calculating a discrete coefficient F of the remaining undeleted Uj values until F is smaller than or equal to Fy and is true, taking an average value of the remaining undeleted Uj values as an average heat generation value Upp of the sub-region Yi in the time domain Qj stage if x/k is smaller than or equal to gamma, and taking a product of the average value of the remaining undeleted Uj values and 1+lambda x/k as the average heat generation value Upp of the sub-region Yi in the time domain Qj stage if x/k is not smaller than or equal to gamma;
wherein up= (u1+u2+, …, +uk)/k, fy is a preset value.
5. The intelligent energy-saving method for a high-efficiency machine room for a central air-conditioning system according to claim 4, wherein the method for adjusting the refrigerating capacity of each difference area comprises the following steps:
for the forward difference region, the flow of the corresponding air conditioner air outlet is improved, and the larger the corresponding actually required refrigerating capacity Gs is, the larger the flow of the corresponding air conditioner air outlet is improved;
and for the negative direction difference region, the flow of the air conditioner air outlet corresponding to the negative direction difference region is reduced, and the larger the |T-T1| is, the larger the flow reduction amplitude of the air conditioner air outlet corresponding to the negative direction difference region is.
6. The intelligent energy-saving method for a high-efficiency machine room for a central air-conditioning system according to claim 1, wherein, in the process of adjusting the flow rate of the air-conditioning outlet, a flow change threshold Ly of an air conditioner air outlet is preset, and in a period of a ty1, the flow change of any air conditioner air outlet is not more than Ly.
7. The intelligent efficient machine room energy saving method for the central air conditioning system according to claim 1, wherein the calculating method of the predicted heat generation amount Uy of the sub-area Yi in the future ty1 time is as follows:
firstly, judging the time domain occupied by the future ty1 time and the duty ratio ef in each time domain for the subarea Yi;
according to the formulaCalculating to obtain Uy;
wherein f is more than or equal to 1 and less than or equal to f1, f1 is the number of time domains occupied by the future ty1 time, and Uppf is the average heat generation amount of the corresponding time domains.
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CN115843170A (en) * | 2022-12-16 | 2023-03-24 | 广东志享信息科技有限公司 | Energy-saving control system for air conditioner in machine room |
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CN104976741A (en) * | 2015-07-23 | 2015-10-14 | 魏强 | Central air conditioner control method |
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