CN110529980A - Determination method, system and electronic equipment of the central air-conditioning actual demand for refrigeration duty - Google Patents
Determination method, system and electronic equipment of the central air-conditioning actual demand for refrigeration duty Download PDFInfo
- Publication number
- CN110529980A CN110529980A CN201910749432.5A CN201910749432A CN110529980A CN 110529980 A CN110529980 A CN 110529980A CN 201910749432 A CN201910749432 A CN 201910749432A CN 110529980 A CN110529980 A CN 110529980A
- Authority
- CN
- China
- Prior art keywords
- historical data
- water
- chilled
- central air
- refrigeration duty
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Classifications
-
- 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
- F24F11/47—Responding to energy costs
-
- 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
- F24F11/80—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
Landscapes
- Engineering & Computer Science (AREA)
- Chemical & Material Sciences (AREA)
- Combustion & Propulsion (AREA)
- Mechanical Engineering (AREA)
- General Engineering & Computer Science (AREA)
- Signal Processing (AREA)
- Physics & Mathematics (AREA)
- Fuzzy Systems (AREA)
- Mathematical Physics (AREA)
- Air Conditioning Control Device (AREA)
Abstract
The present invention relates to central air-conditioning actual demands for determination method, system and the electronic equipment of refrigeration duty, comprising: obtains the historical data and air-conditioning service area parameters of central air conditioner system；Historical data is handled, obtains the output of the refrigerating water sets of central air conditioner system for refrigeration duty；Based on historical data and air-conditioning service area parameters, the load correction value of air conditioning area is obtained；According to output for refrigeration duty and load correction value, obtain that the refrigerating water sets of central air conditioner system need to actually provide for refrigeration duty.The present invention carries out respective handling by historical data to central air conditioner system and air-conditioning service area parameters, obtain that central air conditioner system refrigerating water sets need to actually provide for refrigeration duty.
Description
Technical field
The present invention relates to air-conditioning technical fields, more specifically to a kind of central air-conditioning actual demand for refrigeration duty
Determine method, system and electronic equipment.
Background technique
The large percentage for the building energy consumption that the electricity consumption of central air-conditioning occupies at present, energy conservation are pairs for needing to pay close attention to
As.And central air-conditioning is often in the working condition of sub-load, continuing the operation of holding full load, then energy consumption is huge.Therefore, in order to
Realize central air conditioner system running optimizatin and Energy Saving Control often need to predict central air conditioning requirements for refrigeration duty, from
And the cooling capacity for adjusting central air-conditioning output is required for refrigeration duty to match.
But during prediction of the current central air-conditioning for refrigeration duty, used benchmark historical data is by following
What mode determined: cooling capacity provided by the water cooler chilled water by central air-conditioning is considered as the cooling supply of central air-conditioning actual demand
Load, the i.e. product of the chilled-water flow of the water cooler of central air-conditioning and chilled water supply backwater temperature difference.
However, using can not the actually required cooling supply asked of real reaction central air-conditioning for refrigeration duty determined by this method
Load.The reason is as follows that:
(1) the common water supply of chilled water and the temperature point of return water are often arranged at the entrance of water cooler, are abutted
Water cooler, however end-equipment is generally farther out from water cooler, the water system pipeline of air-conditioning is longer, and chilled water is in end-equipment
It also needs a period of time that could flow into water cooler after heat exchange, causes the numerical value of the return water temperature sensor of chilled water cannot be direct
Corresponding with the numerical value of supply water temperature sensor of chilled water, there are a delay times.
(2) temperature of each air conditioning area might not stablize constant state in one, if air conditioning area temperature is in
In the dynamic changing process being raised and lowered, it then can not really reflect central hollow for refrigeration duty using what chilled water side parameter calculated
Adjust it is actually required ask for refrigeration duty.
Summary of the invention
The technical problem to be solved in the present invention is that in view of the above drawbacks of the prior art, it is real to provide a kind of central air-conditioning
Determination method, system and electronic equipment of the border demand for refrigeration duty.
The technical solution adopted by the present invention to solve the technical problems is: it is negative to provide a kind of central air-conditioning actual demand cooling supply
The determination method of lotus, comprising:
Obtain the historical data and air-conditioning service area parameters of central air conditioner system；The historical data includes: central hollow
Adjust supply water temperature historical data, return water temperature historical data, chilled-water flow historical data and each coverage of chilled water
Air temperature value；The air-conditioning service area parameters include: the volume of each coverage of the central air conditioner system；
The historical data is handled, the output cooling supply for obtaining the refrigerating water sets of the central air conditioner system is negative
Lotus；
Based on the historical data and the air-conditioning service area parameters, the load correction value of the air conditioning area is obtained；
According to the output for refrigeration duty and the load correction value, the refrigerating water sets of the central air conditioner system are obtained
Need to actually provide for refrigeration duty.
In one embodiment, described that the historical data is handled, obtain the freezing of the central air conditioner system
What water dispenser group provided practical includes: for refrigeration duty
The historical data is pre-processed, and selection chilled-water flow is stable from pretreated historical data
Data；
Based on the data that the chilled-water flow is stable, the lag time of chilled-water flow and chilled water return water temperature is determined
Relational expression；
According to the relational expression, the output of the refrigerating water sets of the central air conditioner system is calculated for refrigeration duty.
In one embodiment, described that the historical data is pre-processed, and from pretreated historical data
Choosing the stable data of chilled-water flow includes:
The historical data is cleared up, the historical data after being cleared up；Historical data after the cleaning is institute
State pretreated historical data；
According to the chilled-water flow, different chilled-water flows are obtained from the historical data and are fluctuated within the period 1
Less than or equal to the data set of fluctuation threshold；
It is described cold that the difference chilled-water flow, which is fluctuated within the period 1 less than or equal to the data set of fluctuation threshold,
Freeze the stable data of water flow.
In one embodiment, the data stable based on the chilled-water flow determine chilled-water flow and freezing
The relational expression of the lag time of water return water temperature includes:
The supply water temperature and return water temperature of refrigerating water sets in the data set are handled, when obtaining different lag
Between corresponding chilled water supply water temperature and return water temperature related coefficient；
Compare the related coefficient of different lag times corresponding chilled water supply water temperature and return water temperature, obtains related coefficient
Lag time corresponding to value maximum, and using lag time corresponding to the correlation coefficient value maximum as chilled water return water temperature
The lag time of degree；
It is handled, is obtained using lag time of the presetting method to the chilled-water flow and the chilled water return water temperature
Obtain the relational expression of the lag time of the chilled-water flow and chilled water return water temperature.
In one embodiment, described to be based on the historical data and the air-conditioning service area parameters, obtain the sky
Adjust region load correction value include:
According to each of the air temperature value of each coverage in the historical data and the central air conditioner system
The volume of coverage calculates the load correction value of the air conditioning area.
In one embodiment, described to be exported according to described for refrigeration duty and the load correction value, obtain the center
What the refrigerating water sets of air-conditioning system need to actually provide includes: for refrigeration duty
The output is summed for refrigeration duty and the load correction value, gained and value are the central air conditioner system
Refrigerating water sets need to actually provide for refrigeration duty.
The present invention also provides a kind of central air-conditioning actual demands for the determination system of refrigeration duty, comprising:
Acquiring unit, for obtaining the historical data and air-conditioning service area parameters of central air conditioner system；The history number
According to include: the supply water temperature historical data of central air-conditioning freezing water, return water temperature historical data, chilled-water flow historical data and
The air temperature value of each coverage；The air-conditioning service area parameters include: each service of the central air conditioner system
The volume in region；
It exports cooling supply load determination unit and obtains the central air conditioner system for handling the historical data
Refrigerating water sets output for refrigeration duty；
Load correction value computing unit obtains institute for being based on the historical data and the air-conditioning service area parameters
State the load correction value of air conditioning area；
Actual demand cooling supply load determination unit, for, for refrigeration duty and the load correction value, being obtained according to the output
The central air conditioner system refrigerating water sets need to actually provide for refrigeration duty.
In one embodiment, the output cooling supply load determination unit includes:
Preprocessing module for pre-processing to the historical data, and is chosen from pretreated historical data
The stable data of chilled-water flow；
Relational expression determining module determines chilled-water flow and freezing for the data stable based on the chilled-water flow
The relational expression of the lag time of water return water temperature；
Cooling supply load calculation module is exported, for calculating the freezing of the central air conditioner system according to the relational expression
The output of water dispenser group is for refrigeration duty.
In one embodiment, the preprocessing module includes:
First data processing unit, for clearing up the historical data, the historical data after being cleared up；It is described
Historical data after cleaning is the pretreated historical data；
Second data processing unit, for obtaining different freezings from the historical data according to the chilled-water flow
Water flow fluctuates the data set less than or equal to fluctuation threshold within the period 1；
It is described cold that the difference chilled-water flow, which is fluctuated within the period 1 less than or equal to the data set of fluctuation threshold,
Freeze the stable data of water flow.
The present invention also provides a kind of electronic equipment, including memory and processor, the memory is for storing computer
Program instruction, the computer program instructions that the processor is used to be stored according to the memory execute central air-conditioning as described above
Actual demand for refrigeration duty determination method the step of.
Implement central air-conditioning actual demand of the invention for the determination method of refrigeration duty, has the advantages that the party
Method includes: to obtain the historical data and air-conditioning service area parameters of central air conditioner system；Historical data is handled, in acquisition
Entreat the output of the refrigerating water sets of air-conditioning system for refrigeration duty；Based on historical data and air-conditioning service area parameters, air-conditioning is obtained
The load correction value in region；According to output for refrigeration duty and load correction value, the refrigerating water sets for obtaining central air conditioner system are real
Border need to provide for refrigeration duty.The present invention passes through the historical data and air-conditioning service area parameters progress phase to central air conditioner system
Should handle, obtain central air conditioner system refrigerating water sets need to actually provide for refrigeration duty.
Detailed description of the invention
Present invention will be further explained below with reference to the attached drawings and examples, in attached drawing:
Fig. 1 is that central air-conditioning actual demand provided in an embodiment of the present invention is illustrated for the process of the determination method of refrigeration duty
Figure；
Fig. 2 is determination method specific flow diagram of the central air-conditioning actual demand provided by the invention for refrigeration duty；
Fig. 3 is the structural schematic diagram of electronic equipment provided in an embodiment of the present invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
In order to accurately obtain that central air conditioner system need to actually provide for refrigeration duty, the invention proposes a kind of central air-conditioning
Determination method of the actual demand for refrigeration duty.
Specifically, as shown in Figure 1, the central air-conditioning actual demand includes: for the determination method of refrigeration duty
Step S1, the historical data and air-conditioning service area parameters of central air conditioner system are obtained；The historical data includes:
Supply water temperature historical data, return water temperature historical data, chilled-water flow historical data and each clothes of central air-conditioning freezing water
The air temperature value in business region；The air-conditioning service area parameters include: each coverage of the central air conditioner system
Volume.
In the embodiment of the present invention, the historical data and air-conditioning service area parameters of central air conditioner system can from but be not limited to
It is obtained in building automation system BAS or intelligent building integrated management system IBMS.Wherein, the water supply of central air-conditioning freezing water
Temperature history, central air-conditioning freezing water return water temperature historical data, chilled-water flow historical data, each coverage
Air temperature value is the data being acquired with acquisition interval T, i.e., the supply water temperature historical data of central air-conditioning freezing water, in
Centre air conditioning water return water temperature historical data, chilled-water flow historical data, each coverage air temperature value be
The data group being acquired with acquisition interval T.In specific example, the historical data at any acquisition moment is respectively adopted following
Form indicates:
The historical data of any one acquisition moment t respectively indicates are as follows: the supply water temperature of chilled water is Tg(t) (DEG C), freezing
The return water temperature of water is Th(t) (DEG C), chilled-water flow is M (t) (kg/s) and the air temperature value of each coverage is Ti
(t) (DEG C), wherein i is the number of each coverage.
Step S2, the historical data is handled, obtains the output of the refrigerating water sets of the central air conditioner system
For refrigeration duty.
Specifically, as shown in Fig. 2, step S2 includes:
Step S201, the historical data is pre-processed, and chooses chilled water from pretreated historical data
The data of stability of flow.
Further, the historical data is pre-processed, and chooses chilled water from pretreated historical data
The data of stability of flow specifically include: clearing up the historical data, the historical data after being cleared up；After the cleaning
Historical data be the pretreated historical data；According to the chilled-water flow, obtained not from the historical data
The data set less than or equal to fluctuation threshold is fluctuated within the period 1 with chilled-water flow；The difference chilled-water flow is the
It is the stable data of the chilled-water flow that fluctuation, which is less than or equal to the data set of fluctuation threshold, in one period.
Wherein, carrying out cleaning to historical data includes the processing of abnormal data, the processing of missing values and noise data
Processing, wherein used processing method is not specifically limited in the present invention.
In the embodiment of the present invention, fluctuation threshold can be set to 2%.If the chilled-water flow of any moment be M (t), first
Period is T1, then in period 1 T1The average value of interior chilled-water flow are as follows:
Accordingly, in period 1 T1The historical data of interior all chilled-water flow M (t) is compared to average valueFluctuation
Less than or equal to 2%, then it is assumed that period 1 T1Interior chilled-water flow is stablized, period 1 T1Interior historical data is as cold
Freeze the stable data of water flow, and may be defined as a regime flowData set.By this way, the present invention is implemented
The stable data of example chilled-water flow obtained are the corresponding data set under N number of different regime flows, wherein each data
Concentrating includes period 1 T1The chilled water supply water temperature T of interior each acquisition moment refrigerating water setsg(t), the return water temperature of chilled water
Degree is Th(t), chilled-water flow is M (t).
It should be noted that the value of N increasing every second round T with historical data2Once updated.For example,
Just having started acquired historical data is 10, with increasing for historical data, can choose 15 or 20, therefore, every T2
Period carries out the acquisition of a data.Wherein T1And T2Value can adjust according to the actual situation, but T need to be met1>=200T, with
Guarantee being normally carried out for follow-up data processing.
Step S202, data stable based on the chilled-water flow, determine chilled-water flow and chilled water return water temperature
Lag time relational expression.
Wherein, which can specifically include:
Step S2021, the supply water temperature and return water temperature of the refrigerating water sets in the data set are handled, is obtained
The related coefficient of different lag times corresponding chilled water supply water temperature and return water temperature.
Step S2022, the related coefficient of comparison different lag times corresponding chilled water supply water temperature and return water temperature, is obtained
Lag time corresponding to correlation coefficient value maximum is taken, and using lag time corresponding to the correlation coefficient value maximum as cold
Freeze the lag time of water return water temperature.
Step S2023, using presetting method to the lag time of the chilled-water flow and the chilled water return water temperature
It is handled, obtains the relational expression of the lag time of the chilled-water flow and chilled water return water temperature.
Firstly, in step S2021, to the refrigerating water sets in the data set under N number of different regime flows obtained
Supply water temperature and return water temperature handled, obtain chilled water supply water temperature and return water temperature corresponding to different lag times
Related coefficient.It can specifically be calculate by the following formula to obtain:
Wherein, TgIt (t) is the chilled water supply water temperature (DEG C) of t moment；
Th(t+T3) it is t+T3The chilled water return water temperature (DEG C) at moment；
For the chilled water temperature average value (DEG C) chosen in data set；
T is lagged according to the chilled water return water temperature chosen in collection to be whole3Average value (DEG C)；
r(T3) it is related coefficient；
T3For lag time, it should be noted that in the embodiment of the present invention, T3Value since 0min to 80min, take
2min is divided between value, it is notable that the value is only recommendation, can be adjusted according to the actual situation, but need to keep taking
Value interval is no more than 5min to guarantee precision.
Then, more different T of more different lag times3R (T under value3), choose different r (T3) in maximum
Value, wherein the r (T of maximum value3) corresponding to T3It is returned as the chilled water of the central air-conditioning water cooler under the regime flow
The lag time of coolant-temperature gage.
Further, after the lag time for obtaining chilled water return water temperature, can according to identified lag time and
Flow obtains the relational expression of chilled-water flow and lag time using presetting method.
In the embodiment of the present invention, presetting method can be interpolation method or curve-fitting method.
It is the stagnant of the chilled water return water temperature under different flow obtained as shown in following table one in specific example
Time afterwards.
| Flow M (t) (kg/s) | Lag time T3(min) |
| 8 | 75 |
| 9 | 60 |
| 10 | 48 |
| 11 | 37 |
| 12 | 35 |
Table one
The data determined by upper table one can fit T using curve-fitting method3Relational expression with M (t) is T3=
1.9286M(t)2-48.871M(t)+343.After obtaining relational expression, can directly it calculate corresponding to different chilled-water flows
The lag time T of chilled water return water temperature3.For example, as M (t)=10.5kg/s, T3=42.5min.
Step S202, according to the relational expression, the output cooling supply of the refrigerating water sets of the central air conditioner system is calculated
Load.
In the embodiment of the present invention, the output of refrigerating water sets is negative for the cooling supply that refrigeration duty is refrigerating water sets reality output
Lotus.
Specifically, the output of refrigerating water sets can be calculate by the following formula to obtain for refrigeration duty:
QC(t)=CLM(t)(Th(t+T3)-Tg(t))。
Wherein CLSpecific heat capacity, unit kJ/ (kg DEG C) are corresponded to for chilled water；
QcIt (t) is the output of refrigerating water sets for refrigeration duty.
Step S203, the historical data and the air-conditioning service area parameters are based on, the negative of the air conditioning area is obtained
Lotus correction value.
Wherein, according to the air temperature value of each coverage in the historical data and the central air conditioner system
The volume of each coverage calculates the load correction value of the air conditioning area.
Specifically, the load correction value of air conditioning area can be calculate by the following formula to obtain:
Wherein, QX(t) value is repaired for the load of air conditioning area；Cp_iFor the air specific heat capacity of each coverage, unit kJ/
(kg·℃)；ρiFor the atmospheric density of each coverage, units/kg/m3；ViFor the volume unit m of each coverage3, i is
Each coverage number.
Step S4, the cold of the central air conditioner system is obtained for refrigeration duty and the load correction value according to the output
Freeze water dispenser group need to actually provide for refrigeration duty.
Specifically, the output is summed for refrigeration duty and the load correction value, gained and value are the center
The refrigerating water sets of air-conditioning system need to actually provide for refrigeration duty.It can be indicated with mathematical expression are as follows:
QS(t)=QC(t)+QX(t)。
QS(t) for refrigerating water sets need to actually provide for refrigeration duty.
The present invention is first handled the historical data of acquisition, automatically determines central hollow using the method for correlation analysis
The lag time under different flow of the refrigerating water sets return water temperature of tune, to obtain central air-conditioning freezing water dispenser group each
Historical juncture reality output for refrigeration duty；Then the temperature variations using each air-conditioning coverage and each air-conditioning service area
The volume parameter in domain obtains the load correction value of air-conditioning coverage, final to determine the practical institute of a certain moment refrigerating water sets of history
Need to provide for refrigeration duty, provide data supporting for the running optimizatin and Energy Saving Control of subsequent central air conditioner system.For example, can be with
For doing load prediction, design guidance etc. can also be done.
Further, the present invention also provides a kind of central air-conditioning actual demands for the determination system of refrigeration duty, the center
The central air-conditioning actual demand that air-conditioning actual demand can be used to implement present invention implementation offer for the determination system of refrigeration duty is cold
The determination method of load.It can specifically include: acquiring unit, output cooling supply load determination unit, load correction value computing unit
With actual demand cooling supply load determination unit.
Acquiring unit, for obtaining the historical data and air-conditioning service area parameters of central air conditioner system；The history number
According to include: the supply water temperature historical data of central air-conditioning freezing water, return water temperature historical data, chilled-water flow historical data and
The air temperature value of each coverage；The air-conditioning service area parameters include: each service of the central air conditioner system
The volume in region.
It exports cooling supply load determination unit and obtains the central air conditioner system for handling the historical data
Refrigerating water sets output for refrigeration duty.
Further, output cooling supply load determination unit includes: preprocessing module, relational expression determining module and output cooling supply
Load calculation module.
Wherein, preprocessing module, for being pre-processed to the historical data, and from pretreated historical data
Choose the stable data of chilled-water flow.
Further, preprocessing module, for being pre-processed to the historical data, and from pretreated history number
It include: the first data processing unit according to the stable data of middle selection chilled-water flow, for clearing up the historical data,
Historical data after being cleared up；Historical data after the cleaning is the pretreated historical data；At second data
Unit is managed, for obtaining different chilled-water flows from the historical data within the period 1 according to the chilled-water flow
Fluctuation is less than or equal to the data set of fluctuation threshold.Wherein, the different chilled-water flow fluctuated within the period 1 be less than or
It is the stable data of the chilled-water flow equal to the data set of fluctuation threshold.
Relational expression determining module determines chilled-water flow and freezing for the data stable based on the chilled-water flow
The relational expression of the lag time of water return water temperature.
Cooling supply load calculation module is exported, for calculating the freezing of the central air conditioner system according to the relational expression
The output of water dispenser group is for refrigeration duty.
Load correction value computing unit obtains institute for being based on the historical data and the air-conditioning service area parameters
State the load correction value of air conditioning area.
Actual demand cooling supply load determination unit, for, for refrigeration duty and the load correction value, being obtained according to the output
The central air conditioner system refrigerating water sets need to actually provide for refrigeration duty.
As shown in figure 3, the present invention also provides a kind of electronic equipment, including memory and processor, the memory are used for
Computer program instructions are stored, the processor is used to execute the present invention according to the computer program instructions that the memory stores
Central air-conditioning actual demand disclosed in embodiment for refrigeration duty determination method the step of.
The step of method described in conjunction with the examples disclosed in this document or algorithm, can directly be held with hardware, processor
The combination of capable software module or the two is implemented.Software module can be placed in random access memory (RAM), memory, read-only deposit
Reservoir (ROM), electrically programmable ROM, electrically erasable ROM, register, hard disk, moveable magnetic disc, CD-ROM or technology
In any other form of storage medium well known in field.
Above embodiments only technical concepts and features to illustrate the invention, its object is to allow person skilled in the art
Scholar can understand the contents of the present invention and implement accordingly, can not limit the scope of the invention.It is all to be wanted with right of the present invention
The equivalent changes and modifications that range is done are sought, should belong to the covering scope of the claims in the present invention.
It should be understood that for those of ordinary skills, it can be modified or changed according to the above description,
And all these modifications and variations should all belong to the protection domain of appended claims of the present invention.
Claims (10)
1. a kind of central air-conditioning actual demand is for the determination method of refrigeration duty characterized by comprising
Obtain the historical data and air-conditioning service area parameters of central air conditioner system；The historical data includes: that central air-conditioning is cold
Freeze the supply water temperature historical data of water, the sky of return water temperature historical data, chilled-water flow historical data and each coverage
Temperature value；The air-conditioning service area parameters include: the volume of each coverage of the central air conditioner system；
The historical data is handled, obtains the output of the refrigerating water sets of the central air conditioner system for refrigeration duty；
Based on the historical data and the air-conditioning service area parameters, the load correction value of the air conditioning area is obtained；
According to the output for refrigeration duty and the load correction value, the refrigerating water sets for obtaining the central air conditioner system are practical
Need to provide for refrigeration duty.
2. central air-conditioning actual demand according to claim 1 is for the determination method of refrigeration duty, which is characterized in that described right
The historical data is handled, and the practical of refrigerating water sets offer for obtaining the central air conditioner system includes: for refrigeration duty
The historical data is pre-processed, and chooses the stable number of chilled-water flow from pretreated historical data
According to；
Based on the data that the chilled-water flow is stable, the pass of the lag time of chilled-water flow and chilled water return water temperature is determined
It is formula；
According to the relational expression, the output of the refrigerating water sets of the central air conditioner system is calculated for refrigeration duty.
3. central air-conditioning actual demand according to claim 2 is for the determination method of refrigeration duty, which is characterized in that described right
The historical data is pre-processed, and is chosen the stable data of chilled-water flow from pretreated historical data and included:
The historical data is cleared up, the historical data after being cleared up；Historical data after the cleaning is described pre-
Historical data that treated；
According to the chilled-water flow, different chilled-water flows are obtained from the historical data and are fluctuated within the period 1 be less than
Or the data set equal to fluctuation threshold；
It is described difference chilled-water flow fluctuate within the period 1 less than or equal to fluctuation threshold data set be the chilled water
The data of stability of flow.
4. central air-conditioning actual demand according to claim 3 is for the determination method of refrigeration duty, which is characterized in that the base
In the data that the chilled-water flow is stable, the relational expression packet of the lag time of chilled-water flow and chilled water return water temperature is determined
It includes:
The supply water temperature and return water temperature of refrigerating water sets in the data set are handled, different lag times pair are obtained
The related coefficient of the chilled water supply water temperature and return water temperature answered；
Compare the related coefficient of different lag times corresponding chilled water supply water temperature and return water temperature, obtains correlation coefficient value most
Big corresponding lag time, and using lag time corresponding to the correlation coefficient value maximum as chilled water return water temperature
Lag time；
It is handled using lag time of the presetting method to the chilled-water flow and the chilled water return water temperature, obtains institute
State the relational expression of the lag time of chilled-water flow and chilled water return water temperature.
5. central air-conditioning actual demand according to claim 1 is for the determination method of refrigeration duty, which is characterized in that the base
In the historical data and the air-conditioning service area parameters, the load correction value for obtaining the air conditioning area includes:
According to each service of the air temperature value of each coverage in the historical data and the central air conditioner system
The volume in region calculates the load correction value of the air conditioning area.
6. central air-conditioning actual demand according to claim 1 is for the determination method of refrigeration duty, which is characterized in that described
According to the output for refrigeration duty and the load correction value, the refrigerating water sets for obtaining the central air conditioner system practical need to provide
Include: for refrigeration duty
The output is summed for refrigeration duty and the load correction value, gained and value are the cold of the central air conditioner system
Freeze water dispenser group need to actually provide for refrigeration duty.
7. a kind of central air-conditioning actual demand is for the determination system of refrigeration duty characterized by comprising
Acquiring unit, for obtaining the historical data and air-conditioning service area parameters of central air conditioner system；The historical data packet
It includes: the supply water temperature historical data of central air-conditioning freezing water, return water temperature historical data, chilled-water flow historical data and each
The air temperature value of coverage；The air-conditioning service area parameters include: each coverage of the central air conditioner system
Volume；
It exports cooling supply load determination unit and obtains the cold of the central air conditioner system for handling the historical data
Freeze the output of water dispenser group for refrigeration duty；
Load correction value computing unit obtains the sky for being based on the historical data and the air-conditioning service area parameters
Adjust the load correction value in region；
Actual demand cooling supply load determination unit, for, for refrigeration duty and the load correction value, obtaining institute according to the output
State that the refrigerating water sets of central air conditioner system need to actually provide for refrigeration duty.
8. central air-conditioning actual demand according to claim 7 is for the determination system of refrigeration duty, which is characterized in that described defeated
Cooling supply load determination unit includes: out
Preprocessing module for pre-processing to the historical data, and chooses freezing from pretreated historical data
The stable data of water flow；
Relational expression determining module determines that chilled-water flow and chilled water return for the data stable based on the chilled-water flow
The relational expression of the lag time of coolant-temperature gage；
Cooling supply load calculation module is exported, for calculating the freezing water dispenser of the central air conditioner system according to the relational expression
The output of group is for refrigeration duty.
9. central air-conditioning actual demand according to claim 8 is for the determination system of refrigeration duty, which is characterized in that described pre-
Processing module includes:
First data processing unit, for clearing up the historical data, the historical data after being cleared up；The cleaning
Historical data afterwards is the pretreated historical data；
Second data processing unit, for obtaining different chilled water flows from the historical data according to the chilled-water flow
Measure the data set that the fluctuation within the period 1 is less than or equal to fluctuation threshold；
It is described difference chilled-water flow fluctuate within the period 1 less than or equal to fluctuation threshold data set be the chilled water
The data of stability of flow.
10. a kind of electronic equipment, which is characterized in that including memory and processor, the memory is for storing computer journey
Sequence instruction, the computer program instructions perform claim that the processor is used to be stored according to the memory require any one of 1-6
The central air-conditioning actual demand for refrigeration duty determination method the step of.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910749432.5A CN110529980B (en) | 2019-08-14 | 2019-08-14 | Method and system for determining actual demand cooling load of central air conditioner and electronic equipment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910749432.5A CN110529980B (en) | 2019-08-14 | 2019-08-14 | Method and system for determining actual demand cooling load of central air conditioner and electronic equipment |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN110529980A true CN110529980A (en) | 2019-12-03 |
| CN110529980B CN110529980B (en) | 2021-07-02 |
Family
ID=68663215
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910749432.5A Active CN110529980B (en) | 2019-08-14 | 2019-08-14 | Method and system for determining actual demand cooling load of central air conditioner and electronic equipment |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110529980B (en) |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112254320A (en) * | 2020-10-22 | 2021-01-22 | 重庆大学 | Adaptive variable differential pressure control method for air conditioner variable flow water system based on AI |
| CN113033016A (en) * | 2021-04-12 | 2021-06-25 | 北京信息科技大学 | Hybrid-based central air conditioner load prediction method and device |
| CN115451596A (en) * | 2022-08-31 | 2022-12-09 | 克莱门特捷联制冷设备(上海)有限公司 | Energy control method for quickly and stably starting centrifugal water chilling unit |
| CN115523644A (en) * | 2022-11-04 | 2022-12-27 | 蘑菇物联技术（深圳）有限公司 | Method, apparatus and storage medium for controlling host of air conditioning system |
| CN115993072A (en) * | 2023-02-14 | 2023-04-21 | 华能济南黄台发电有限公司 | Heat discharging system for central cooling of hot water cooling tower of heat supply unit |
| CN116045461A (en) * | 2023-03-07 | 2023-05-02 | 广东热矩智能科技有限公司 | Energy-saving control method and device for air-cooled air conditioner based on water supply and return temperature adjustment |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101251291A (en) * | 2008-04-03 | 2008-08-27 | 上海交通大学 | Central air conditioning system global optimization energy-saving control method and device based on model |
| JP2017089967A (en) * | 2015-11-10 | 2017-05-25 | アズビル株式会社 | Air conditioning control support device and method |
| CN107192097A (en) * | 2017-06-06 | 2017-09-22 | 珠海格力电器股份有限公司 | Control method and device for air-conditioning chilled water system |
| CN108844189A (en) * | 2018-03-30 | 2018-11-20 | 广东美的制冷设备有限公司 | Control method, air conditioner and the computer readable storage medium of air conditioner |
-
2019
- 2019-08-14 CN CN201910749432.5A patent/CN110529980B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101251291A (en) * | 2008-04-03 | 2008-08-27 | 上海交通大学 | Central air conditioning system global optimization energy-saving control method and device based on model |
| JP2017089967A (en) * | 2015-11-10 | 2017-05-25 | アズビル株式会社 | Air conditioning control support device and method |
| CN107192097A (en) * | 2017-06-06 | 2017-09-22 | 珠海格力电器股份有限公司 | Control method and device for air-conditioning chilled water system |
| CN108844189A (en) * | 2018-03-30 | 2018-11-20 | 广东美的制冷设备有限公司 | Control method, air conditioner and the computer readable storage medium of air conditioner |
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112254320A (en) * | 2020-10-22 | 2021-01-22 | 重庆大学 | Adaptive variable differential pressure control method for air conditioner variable flow water system based on AI |
| CN112254320B (en) * | 2020-10-22 | 2021-08-24 | 重庆大学 | Adaptive variable differential pressure control method for air conditioner variable flow water system based on AI |
| CN113033016A (en) * | 2021-04-12 | 2021-06-25 | 北京信息科技大学 | Hybrid-based central air conditioner load prediction method and device |
| CN113033016B (en) * | 2021-04-12 | 2021-10-22 | 北京信息科技大学 | Hybrid-based central air conditioner load prediction method and device |
| CN115451596A (en) * | 2022-08-31 | 2022-12-09 | 克莱门特捷联制冷设备(上海)有限公司 | Energy control method for quickly and stably starting centrifugal water chilling unit |
| CN115523644A (en) * | 2022-11-04 | 2022-12-27 | 蘑菇物联技术（深圳）有限公司 | Method, apparatus and storage medium for controlling host of air conditioning system |
| CN115993072A (en) * | 2023-02-14 | 2023-04-21 | 华能济南黄台发电有限公司 | Heat discharging system for central cooling of hot water cooling tower of heat supply unit |
| CN115993072B (en) * | 2023-02-14 | 2023-11-07 | 华能济南黄台发电有限公司 | Heat discharging system for concentrated cooling of cooling tower of heat supply unit |
| CN116045461A (en) * | 2023-03-07 | 2023-05-02 | 广东热矩智能科技有限公司 | Energy-saving control method and device for air-cooled air conditioner based on water supply and return temperature adjustment |
| CN116045461B (en) * | 2023-03-07 | 2023-10-27 | 广东热矩智能科技有限公司 | Energy-saving control method and device for air-cooled air conditioner based on water supply and return temperature adjustment |
Also Published As
| Publication number | Publication date |
|---|---|
| CN110529980B (en) | 2021-07-02 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110529980A (en) | Determination method, system and electronic equipment of the central air-conditioning actual demand for refrigeration duty | |
| US11391484B2 (en) | Building control system with constraint generation using artificial intelligence model | |
| US11705726B2 (en) | Building energy system with predictive control of battery and green energy resources | |
| US10706375B2 (en) | Central plant with asset allocator | |
| US11445024B2 (en) | Building control system with smart edge devices having embedded model predictive control | |
| US11346572B2 (en) | Building equipment with predictive control | |
| US10684598B1 (en) | Building management system with efficient model generation for system identification | |
| CN105719028B (en) | A kind of air conditioner load dynamic prediction method based on multifactor chaos support vector machines | |
| Wang et al. | Evaluation of operation performance of a multi-chiller system using a data-based chiller model | |
| CN112598195A (en) | Building type comprehensive energy system operation optimization method and device and terminal equipment | |
| US11215375B2 (en) | Building control system with heat disturbance estimation and prediction | |
| US10124381B2 (en) | Rolling process learning control device | |
| Murphy et al. | Rapid milk cooling control with varying water and energy consumption | |
| US20200371482A1 (en) | Building control system with heat load estimation using deterministic and stochastic models | |
| CN103904664B (en) | A kind of AGC unit real-time scheduling method based on effective static security territory | |
| Thamae et al. | Dynamics of electricity demand in Lesotho: A Kalman Filter approach | |
| Lu et al. | Using cooling load forecast as the optimal operation scheme for a large multi-chiller system | |
| CN107591811A (en) | Var Optimization Method in Network Distribution and device | |
| CN106096771A (en) | The parameter selection method of support vector machine and system and load forecasting method and system | |
| CN110848892B (en) | Energy-saving operation method, device and equipment of ice storage system and storage medium | |
| Júnior et al. | Solution to economic emission load dispatch by simulated annealing: case study | |
| CN114046593A (en) | Dynamic predictive machine learning type air conditioner energy-saving control method and system | |
| Łokietek et al. | Optimization of control system for modified configuration of a refrigeration unit | |
| CN117710008B (en) | Ecological product sales information management system suitable for karst region | |
| CN110504694B (en) | Frequency modulation parameter acquisition method and device, computer equipment and readable storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |