CN109631282A - A kind of central air conditioner system control method and its system, equipment, storage medium - Google Patents
A kind of central air conditioner system control method and its system, equipment, storage medium Download PDFInfo
- Publication number
- CN109631282A CN109631282A CN201811569428.2A CN201811569428A CN109631282A CN 109631282 A CN109631282 A CN 109631282A CN 201811569428 A CN201811569428 A CN 201811569428A CN 109631282 A CN109631282 A CN 109631282A
- Authority
- CN
- China
- Prior art keywords
- water
- energy consumption
- cooling
- model
- air conditioner
- 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
- F24F11/89—Arrangement or mounting of control or safety devices
-
- 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
- F24F11/72—Control systems characterised by their outputs; Constructional details thereof for controlling the supply of treated air, e.g. its pressure
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2119/00—Details relating to the type or aim of the analysis or the optimisation
- G06F2119/08—Thermal analysis or thermal optimisation
Landscapes
- Engineering & Computer Science (AREA)
- General Engineering & Computer Science (AREA)
- Chemical & Material Sciences (AREA)
- Combustion & Propulsion (AREA)
- Mechanical Engineering (AREA)
- Physics & Mathematics (AREA)
- Signal Processing (AREA)
- Theoretical Computer Science (AREA)
- Fuzzy Systems (AREA)
- Computer Hardware Design (AREA)
- Evolutionary Computation (AREA)
- Geometry (AREA)
- General Physics & Mathematics (AREA)
- Mathematical Physics (AREA)
- Air Conditioning Control Device (AREA)
Abstract
The invention discloses a kind of central air conditioner system control method and its system, equipment, storage mediums, the present invention is by obtaining optimal parameters, and optimal parameters are fed back into water cooler rate-determining steps, chilled water pump rate-determining steps, cooling water pump rate-determining steps and cooling tower rate-determining steps and realize central air conditioner system control, realization system comprehensive energy consumption is minimum and system comprehensive energy efficiency highest, overcomes the technical problem that existing air-conditioner control system is ineffective there are whole energy.
Description
Technical field
The present invention relates to central air conditioner system field, especially a kind of central air conditioner system control method and its system are set
Standby, storage medium.
Background technique
The operation of central air conditioner system equipment room intercouples and affects one another connection, the same refrigeration duty demand,
System can meet there are many kinds of the different method of operation.How under the premise of guaranteeing indoor comfort environment, according to not
The actual operating mode of disconnected variation, optimizing find central air conditioner system optimum operation mode and optimized operation parameter, guarantee system
Comprehensive energy consumption is minimum and comprehensive energy efficiency highest, is the key that energy-saving run of central air conditioning system.
The phenomenon that existing air conditioner energy conservation control system, generally existing " treat the head when the head aches, foot pain doctor foot, have bone anencephaly ", respectively
A equipment control operation independently of one another, only meets the basic control of equipment, frequently results in some device energy conservation and another in system
A associate device but takes energy, so that system whole energy is ineffective, or even is also possible to more expense energy, or sacrifice indoor comfortable
Property.
Therefore, it needs to improve this technology.
Summary of the invention
The present invention is directed to solve at least some of the technical problems in related technologies.For this purpose, of the invention
One purpose is to provide a kind of central air conditioner system control method and its system, equipment, storage medium, comprehensive for realizing system
Energy consumption is minimum and system comprehensive energy efficiency highest.
The technical scheme adopted by the invention is that:
In a first aspect, the present invention provides a kind of central air conditioner system control method, comprising the following steps:
System energy consumption model foundation step is checked according to the actual operation parameters of central air conditioner system, center is established in filtering
Air conditioning energy consumption model, the central air conditioner system energy consumption model include water cooler energy consumption model, chilled water pump energy consumption mould
Type, cooling water pump energy consumption model, cooling tower energy consumption model and end-equipment energy consumption model, the central air conditioner system energy consumption model
Objective function be Ptotal, Ptotal=Pchiller+PCHWpump+PCWpump+Ptfan+Pcfan, PchillerFor water cooler energy consumption,
PCHWpumpFor chilled water pump energy consumption, PCWpumpFor cooling water pump energy consumption, PtfanFor cooling tower energy consumption, PcfanFor end-equipment energy consumption；
System energy efficiency model foundation step establishes central air conditioner system energy efficiency model, the central air conditioner system efficiency mould
Type includes water cooler energy efficiency model, cooling system energy efficiency model and cold source system energy efficiency model；
Wherein, water cooler energy efficiency model are as follows:COP is water cooler energy efficiency coefficient, QchillerIt is cold
The total semen donors of water dispenser group；
Cooling system energy efficiency model are as follows:EER1For cooling system efficiency
Coefficient, QchillerFor the total semen donors of water cooler；
Cold source system energy efficiency model are as follows:
QchillerFor the total semen donors of water cooler；
Water cooler rate-determining steps obtain water cooler leaving water temperature, according to the water cooler leaving water temperature and cold water
Unit water outlet temperature setting value controls water cooler and adds and subtracts carrying row；
Chilled water pump rate-determining steps set the frequency converter frequency of pressure difference adjustment chilled water pump according to index circuit；
Cooling water pump rate-determining steps obtain cooling water supply backwater temperature difference, according to the cooling water supply backwater temperature difference and cooling
Water is for return water setting temperature difference control cooling water pump gearshift adjustment operation；
Cooling tower rate-determining steps obtain cooling tower leaving water temperature, are discharged according to the cooling tower leaving water temperature and cooling tower
Desired temperature adjusts the operation number of units of blower fan of cooling tower and the running frequency of blower fan of cooling tower, the cooling tower leaving water temperature are set
Definite value is the sum of outdoor temperature and predetermined deviation value；
Optimal Parameters obtaining step, according to the central air conditioner system energy consumption model and the central air conditioner system efficiency mould
Type obtains optimal parameters, and the optimal parameters include water cooler water outlet temperature setting value, index circuit setting
Pressure difference, cooling water set the temperature difference and cooling tower water outlet temperature setting value for return water；
The optimal parameters are fed back to the water cooler rate-determining steps, the chilled water by feedback control step
Rate-determining steps, the cooling water pump rate-determining steps and the cooling tower rate-determining steps are pumped, are controlled according to the optimal parameters
Central air conditioner system realizes that system comprehensive energy consumption is minimum and system comprehensive energy efficiency highest.
Further, the Optimal Parameters obtaining step includes:
Comprehensive energy consumption objective function establishes sub-step, establishes comprehensive energy consumption mesh according to the central air conditioner system energy consumption model
Scalar functions F,
Wherein, penalty is penalty；
Cold source system energy efficiency model converts sub-step, to the constraint condition and control parameter of the cold source system energy efficiency model
Simplified to obtain cold source system efficiency transformation model, the cold source system efficiency transformation model are as follows: EERsys=f (TCHWS,
Pset, Tx, Ty), TCHWSFor water cooler water outlet temperature setting value；PsetPressure difference is set for index circuit；TxIt is supplied back for cooling water
Water sets the temperature difference；TyFor cooling tower water outlet temperature setting value；
Optimal Parameters obtain sub-step, according to the comprehensive energy consumption objective function and the cold source system efficiency transformation model
Obtain the optimal parameters.
Further, the Optimal Parameters obtain sub-step and specifically include:
Turned according to genetic algorithm or Bee Evolutionary algorithm, the comprehensive energy consumption objective function and the cold source system efficiency
Change model and obtains the optimal parameters.
Further, the water cooler energy consumption model are as follows: Pchiller=WPLRadj,
Wherein,W is the general power of water cooler, PLRadjFor water
Cold units consumption rate of load condensate, QchillerFor the actual refrigerating capacity of water chiller, QnomFor the rated cooling capacity of water cooler, aiFor portion
Divide load correction factor i=0,1,2.
Further, the chilled water pump energy consumption model are as follows:
Wherein, mCHWFor chilled water pump actual flow, HCHWFor the practical lift of chilled water pump, gcFor flow lift coefficient；ηCHW
To freeze the efficiency of pump.
Further, the cooling water pump energy consumption model are as follows:
PCHpump=PCHpump, nom·(d0+d1·PLRCWpump+d2·PLR2 CWpump+d3·PLR3 CWpump),
Wherein, mCWFor cooling pump actual flow, mCW, nomFor cooling water pump metered flow, diFor model parameter, i=0,1,
2,3.
Further, the cooling tower energy consumption model are as follows:
Ptfan=Ptfan·nom·(e0+e1·PLRtfan+e2·PLR2 tfan+e3·PLR3 tfan),
Wherein, Ptfan,nomFor the rated power of cooling tower, maFor blower fan of cooling tower actual air flow, ma,nomFor cooling tower
Blower nominal air delivery, eiFor model parameter, i=0,1,2,3.
Second aspect, the present invention provide a kind of central air conditioner system control system, comprising:
System energy consumption model foundation unit, for being checked according to the actual operation parameters of central air conditioner system, filtering is established
Central air conditioner system energy consumption model, the central air conditioner system energy consumption model include water cooler energy consumption model, chilled water pump energy
Consume model, cooling water pump energy consumption model, cooling tower energy consumption model and end-equipment energy consumption model, the central air conditioner system energy consumption
The objective function of model is Ptotal, Ptotal=Pchiller+PCHWpump+PCWpump+Ptfan+Pcfan, PchillerFor water cooler energy consumption,
PCHWpumpFor chilled water pump energy consumption, PCWpumpFor cooling water pump energy consumption, PtfanFor cooling tower energy consumption, PcfanFor end-equipment energy consumption；
System energy efficiency model foundation unit, for establishing central air conditioner system energy efficiency model, the central air conditioner system energy
Imitating model includes water cooler energy efficiency model, cooling system energy efficiency model and cold source system energy efficiency model；Water cooler efficiency mould
Type are as follows:COP is water cooler energy efficiency coefficient, QchillerFor the total semen donors of water cooler；
Cooling system energy efficiency model are as follows:EER1For cooling system efficiency
Coefficient, QchillerFor the total semen donors of water cooler；
Cold source system energy efficiency model are as follows:QchillerFor the total cooling supply of water cooler
Amount；
Water cooler control unit, for obtaining water cooler leaving water temperature, according to the water cooler leaving water temperature and
Water cooler water outlet temperature setting value controls water cooler and adds and subtracts carrying row；
Chilled water pump control unit, for setting the frequency converter frequency of pressure difference adjustment chilled water pump according to index circuit；
Cooling water pump control unit, for obtaining cooling water supply backwater temperature difference, according to the cooling water supply backwater temperature difference with
Cooling water is for return water setting temperature difference control cooling water pump gearshift adjustment operation；
Cooling tower control unit, for obtaining cooling tower leaving water temperature, according to the cooling tower leaving water temperature and cooling tower
Water outlet temperature setting value adjusts the operation number of units of blower fan of cooling tower and the running frequency of blower fan of cooling tower, the cooling tower go out water temperature
Spending setting value is the sum of outdoor temperature and predetermined deviation value；
Optimal Parameters acquiring unit, for according to the central air conditioner system energy consumption model and the central air conditioner system energy
It imitates model and obtains optimal parameters, the optimal parameters include water cooler water outlet temperature setting value, index circuit
It sets pressure difference, cooling water and sets the temperature difference and cooling tower water outlet temperature setting value for return water；
Feedback control unit, for the optimal parameters to be fed back to water cooler rate-determining steps, described cold
Freeze water pump rate-determining steps, the cooling water pump rate-determining steps and the cooling tower rate-determining steps, according to the optimal parameters
It controls central air conditioner system and realizes that system comprehensive energy consumption is minimum and system comprehensive energy efficiency highest.
The third aspect, the present invention provide a kind of central air conditioner system control equipment, comprising:
At least one processor；And the memory being connect at least one described processor communication；Wherein,
The memory is stored with the instruction that can be executed by least one described processor, and described instruction is by described at least one
A processor executes, so that at least one described processor is able to carry out the central air conditioner system control method.
Fourth aspect, the present invention provide a kind of computer readable storage medium, the computer-readable recording medium storage
There are computer executable instructions, the computer executable instructions are used to that computer to be made to execute the central air conditioner system control
Method.
The beneficial effects of the present invention are:
The present invention feeds back to water cooler rate-determining steps, cold by obtaining optimal parameters, and by optimal parameters
Freeze water pump rate-determining steps, cooling water pump rate-determining steps and cooling tower rate-determining steps and realize central air conditioner system control, realizes system
Comprehensive energy consumption is minimum and system comprehensive energy efficiency highest, overcomes the technology that existing air-conditioner control system is ineffective there are whole energy
Problem.
In addition, the present invention also obtains optimal parameters, Ke Yizhun by using genetic algorithm or Bee Evolutionary algorithm
Really obtain optimal parameters.
Detailed description of the invention
Fig. 1 is an a kind of specific embodiment schematic illustration of central air conditioner system control method in the present invention；
Fig. 2 is an a kind of specific embodiment of the water cooler rate-determining steps of central air conditioner system control method in the present invention
Flow chart；
Fig. 3 is an a kind of specific implementation of the index circuit setting pressure difference of central air conditioner system control method in the present invention
Example control strategy figure；
Fig. 4 is a kind of specific embodiment stream of the cooling tower rate-determining steps of central air conditioner system control method in the present invention
Cheng Tu；
Fig. 5 is an a kind of specific embodiment flow chart of the genetic algorithm of central air conditioner system control method in the present invention；
Fig. 6 is a kind of specific embodiment stream of the Bee Evolutionary algorithm of central air conditioner system control method in the present invention
Cheng Tu；
Fig. 7 is an a kind of specific embodiment schematic diagram of the system energy consumption of central air conditioner system control method in the present invention.
Specific embodiment
It should be noted that in the absence of conflict, the features in the embodiments and the embodiments of the present application can phase
Mutually combination.
Embodiment 1
A kind of central air conditioner system control method, can be applied to the central air conditioner system installed in civil buildings and equipment
On, it is an a kind of specific embodiment schematic illustration of central air conditioner system control method in the present invention with reference to Fig. 1, Fig. 1；Including
Following steps:
(1) system energy consumption model foundation step is checked according to the actual operation parameters of central air conditioner system, in filtering foundation
Entreat air conditioning energy consumption model, the main energy consumption equipment of central air conditioner system be divided into water cooler, chilled water pump, cooling water pump,
Cooling tower and end-equipment, therefore, central air conditioner system energy consumption model include water cooler energy consumption model, chilled water pump energy consumption mould
Type, cooling water pump energy consumption model, cooling tower energy consumption model and end-equipment energy consumption model, the mesh of central air conditioner system energy consumption model
Scalar functions are Ptotal:
Ptotal=Pchiller+PCHWpump+PCWpump+Ptfan+Pcfan,
Wherein, PchillerFor water cooler energy consumption, unit kW；PCHWpumpFor chilled water pump energy consumption, unit kW；PCWpump
For cooling water pump energy consumption, unit kW；PtfanFor cooling tower energy consumption, unit kW；PcfanFor end-equipment energy consumption, unit kW；
Specifically:
Water cooler energy consumption model in the case of real work are as follows: Pchiller=WPLRadj, whereinW is the general power of water cooler, unit kW；PLRadjFor water cooling unit
Group energy consumption rate of load condensate；QchillerFor the actual refrigerating capacity of water chiller, unit kW；QnomFor the rated cooling capacity of water cooler,
Unit is kW；aiFor sub-load correction factor i=0,1,2.
Chilled water pump energy consumption model are as follows:Wherein, mCHWFor
Chilled water pump actual flow, unit kg/s；HCHWFor the practical lift of chilled water pump, unit m；gcFor flow lift coefficient；
ηCHWTo freeze the efficiency of pump.
Cooling water pump energy consumption model are as follows:
PCHpump=PCHpump, nom·(d0+d1·PLRCWpump+d2·PLR2 CWpump+d3·PLR3 CWpump),
Wherein,mCWFor cooling pump actual flow, unit kg/s；mCW, nomFor cooling water pump
Metered flow, unit kg/s, diFor model parameter, i=0,1,2,3.
Cooling tower energy consumption model are as follows:
Ptfan=Ptfan·nom·(e0+e1·PLRtfan+e2·PLR2 tfan+e3·PLR3 tfan),
Wherein,Ptfan,nomFor the rated power of cooling tower, unit kW；maFor blower fan of cooling tower reality
Border air mass flow, unit kg/s, ma,nomFor blower fan of cooling tower nominal air delivery, unit m3/s；eiFor model parameter, i=0,
1,2,3.
And end-equipment energy consumption model are as follows:Wherein, PcfanIt is set for end
Standby actual consumption, unit kW；mSAFor the actual air volume of end-equipment, unit m3/s；HSAFor the practical wind of end-equipment
Pressure, unit pa；gcFor airflow pressure coefficient；ηSAFor the efficiency of end-equipment (i.e. blower).
(2) system energy efficiency model foundation step establishes central air conditioner system energy efficiency model, central air conditioner system energy efficiency model
Including water cooler energy efficiency model, cooling system energy efficiency model and cold source system energy efficiency model, setting for central air conditioner system is considered
Mutual constraint between standby obtains its efficiency situation from system level, rather than the locally efficiency of a certain equipment.
Wherein, water cooler energy efficiency model are as follows:COP is water cooler energy efficiency coefficient, QchillerIt is cold
The total semen donors of water dispenser group, unit kW；
Cooling system energy efficiency model are as follows:EER1For cooling system efficiency
Coefficient, QchillerFor the total semen donors of water cooler, unit kW；
In the present embodiment, cold source system energy efficiency model is by taking Water-cooling type air conditioner unit as an example, then cold source system energy efficiency model are as follows:QchillerFor the total semen donors of water cooler,
Unit is kW；The energy efficiency model of end-equipment is put aside in the present invention.And cold source system energy efficiency model is not limited to water cooling
Formula air-conditioner set, water chiller are a kind of commonplace forms, and other type units can also establish system energy efficiency model, such as empty
Air supply heat pump unit is the whole energy efficiency model established based on heat pump unit, chilled water pump.
(3) single optimization rate-determining steps, i.e., in central air conditioner system, for water cooler, chilled water pump, cooling water pump
Have a special independent optimal control program with cooling tower etc., optimal control program for control each equipment reach it is respective best
Operating status；Specific step is as follows:
1) water cooler rate-determining steps are checked, the water cooler energy efficiency model that filtering is established, meter according to actual operation parameters
Calculate the host efficiency COP under the operating conditions such as different chilled water supply water temperatures, part load ratio.It is set according to technique is met
The principle of meter, refrigeration requirement and refrigeration station global optimization, dynamic sets water cooler water outlet temperature setting value, and dynamic is closed
The adding machine of reason judges, reduces power consumption, i.e. acquisition water cooler leaving water temperature, according to water cooler leaving water temperature and cooling-water machine
Group water outlet temperature setting value control water cooler adds and subtracts carrying row.Referring to figure 2., Fig. 2 is a kind of central air-conditioning system in the present invention
One specific embodiment flow chart of the water cooler rate-determining steps for control method of uniting；It can be divided into the next stage:
Start-up phase: when one-key start, a host is opened according to outdoor temperature；The few master of preferential starting runing time
Machine；In the present embodiment, using outdoor wet-bulb temperature as outdoor temperature, i.e., in outdoor setting temperature sensor to obtain outdoor temperature
Data preferentially start big host when outdoor wet-bulb temperature is greater than the set value, and otherwise preferentially start small host.
Shut-down-phase: when a key stops, stopping the unit of starting by platform.
Working time section load judgement: when the water cooler leaving water temperature of acquisition is greater than water cooler water outlet temperature setting value
The sum of with deviation △ T (such as 1 DEG C), and load factor is greater than the setting ratio of load on host computers rate setting value, such as 90%, conditions above
It is all satisfied and the duration reaches setting time, such as 10 minutes, then load unit.For example, water cooler water outlet temperature setting value
TCHWSIt is 7 degree, load factor setting value is 95%, when water cooler leaving water temperature is greater than 8 degree and load factor greater than 85.5%, this
Part is stablized to meet loads unit after ten minutes.
The judgement of working time section off-load: water cooler leaving water temperature is less than water cooler water outlet temperature setting value and deviation
The difference of △ T (such as 1 DEG C), and the sum of unit load rate is less than amendable limits value, conditions above is all satisfied and the duration reaches
To setting time, then off-load unit.For example, water cooler water outlet temperature setting value TCHWSIt is 7 degree, load factor setting value is
95%, when water cooler leaving water temperature is less than 6 degree and the sum of load factor is less than 95%, off-load after this conditional stability meets 30 minutes
Unit.
Water cooler water outlet temperature setting value determines according to outdoor weather condition, generally takes 7 DEG C -10 DEG C, and deviation can be with
Adjustment, it is 1 DEG C that deviation, which is such as arranged, and in the present embodiment, water cooler water outlet temperature setting value can determine according to the following rules:
Wherein, TChilled water leaving water temperature upper limit value、TChilled water leaving water temperature lower limit value、TOutdoor wet-bulb temperature upper limit value、TOutdoor wet-bulb temperature lower limit valueAnd the specific of deviation △ T sets
Definite value provides when being field adjustable.For example, working as TChilled water leaving water temperature upper limit valueIt is 11 DEG C, TChilled water leaving water temperature lower limit valueIt is 7 DEG C, TOutdoor wet-bulb temperature upper limit valueIt is 30
DEG C, TOutdoor wet-bulb temperature lower limit valueWhen being 12 DEG C,
2) chilled water pump rate-determining steps are checked, the chilled water pump energy consumption model that filtering is established according to actual operation parameters, can
Calculate the pump energy consumption under the operating conditions such as different flows, lift and running frequency.According to meeting system general refrigeration ability need
It sums the principle of cold station global optimization, optimizes and determine that index circuit sets pressure difference, pressure difference is set according to index circuit and is moved
The frequency converter frequency of state adjustment chilled water pump number of units and chilled water pump.Referring to Fig. 3, Fig. 3 is a kind of central air-conditioning system in the present invention
One specific embodiment control strategy figure of the index circuit setting pressure difference for control method of uniting；Chilled water pump is according to index circuit
Pressure difference is set to control changes in flow rate strategy: index circuit sets pressure difference PsetWith outdoor temperature proportion relation, this reality
It applies in example, using outdoor wet-bulb temperature as outdoor temperature, then Pset=f (TOutdoor wet-bulb temperature).When outdoor wet-bulb temperature changes,
Index circuit sets pressure difference also with variation, and the frequency of chilled water pump also changes with index circuit setting pressure difference and changed.
Index circuit setting pressure difference can be arranged according to the following rules:
Wherein, guarantee index circuit flow and the efficient pressure difference of water cooler when P1 is water cooler sub-load
Value；P2 be water cooler at full capacity when guarantee index circuit flow and water cooler metered flow pressure difference；
TOutdoor wet-bulb temperature upper limit value、TOutdoor wet-bulb temperature lower limit valueEtc. specific setting value be field adjustable when provide.For example, working as TOutdoor wet-bulb temperature upper limit valueIt is 30 DEG C, the room T
When outer wet bulb temperature upper limit value is 12 DEG C,
3) cooling water pump rate-determining steps are checked, the cooling water pump energy consumption model that filtering is established according to actual operation parameters, are led to
Disengaging water temperature difference control methods are crossed, in cooling water for respectively installing a temperature sensor on return main, are supplied back with obtaining cooling water
This temperature signal is transmitted to temperature controller by water temperature difference, this observed temperature difference and cooling water are set temperature for return water by controller
Poor (generally 5 DEG C) are compared, control cooling water pump gearshift adjustment operation.Cooling water is for the return water setting temperature difference according to outdoor temp
Degree is set, and for outdoor temperature by taking outdoor wet-bulb temperature as an example, cooling water sets the temperature difference (i.e. T for return waterx) calculate can be by as follows
Rule determines:
For example, working as TOutdoor wet-bulb temperature upper limit valueIt is 30 DEG C, TOutdoor wet-bulb temperature lower limit valueWhen being 12 DEG C, TxAre as follows:
4) cooling tower rate-determining steps are checked, the cooling tower energy consumption model that filtering is established according to actual operation parameters, can be calculated
Cooling tower energy consumption under the operating conditions such as different outdoor wet-bulb temperature, cooling tower inlet and outlet temperature out.It is global according to cold station
The principle of optimization optimizes the best outlet water temperature (i.e. cooling tower water outlet temperature setting value) determined under current working, obtains cooling
Tower leaving water temperature, and according to the operation number of units and blower fan of cooling tower of cooling tower water outlet temperature setting value dynamic adjustment blower fan of cooling tower
Running frequency.Cooling tower water outlet temperature setting value is outdoor temperature (in the present embodiment, using outdoor wet-bulb temperature as outdoor temp
Degree) the sum of with predetermined deviation value △ T, predetermined deviation value △ T can be positive deviation or negative bias difference, respectively correspond cooling tower water outlet
Temperature upper limit and cooling tower leaving water temperature lower limit value.By Temperature Humidity Sensor (be mounted on outdoor to obtain outdoor temperature) and
The gearshift adjustment of frequency converter, cooling tower uses " outdoor air wet bulb temperature+cooling tower leaving water temperature degree of approximation " control method.It is cold
When machine is run under full load condition, cooling tower water outlet temperature setting value should be set as+3 DEG C of outdoor wet-bulb temperature, i.e. cooling tower
The temperature difference △ T=3 DEG C of leaving water temperature and outdoor wet-bulb temperature, when cold is run under partial load condition, cooling tower heat exchange reaches
When to the limit, predetermined deviation value △ T can be larger than 3 DEG C, and such as 4 DEG C, i.e., when wet-bulb temperature is lower, predetermined deviation value △ T can
To take the larger value.When system is in partial load condition and constant cooling water flow, cooling tower leaving water temperature deviates setting value,
Controller controls the operation of water pump gearshift adjustment according to deviation signal, to maintain set temperature value constant.Referring to figure 4., Fig. 4 is this
An a kind of specific embodiment flow chart of the cooling tower rate-determining steps of central air conditioner system control method in invention；With southern summer heat
For the supermarket in certain warm regional city of winter, it can be divided into the next stage:
The power on/off stage: receiving host run signal as worked as, and cooling water return water temperature is greater than starting setting temperature
Degree, it is preferential start single group sort forward 3 cooling tower, that is, run 6 cooling towers (in total 2 groups 8)；
When detect All hosts shut down or cooling water return water temperature be less than TCooling tower leaving water temperature lower limit value, when such as 16 DEG C, stop institute
There is cooling tower；
Plus-minus carries: when blower fan of cooling tower frequency is less than or equal to f1=40Hz and maintain reach t1At=15 minutes, every group of tower of off-load
The cooling tower of middle sequence the 3rd, that is, run 4 cooling towers；
When blower fan of cooling tower frequency is less than or equal to f2=30Hz and maintain reach t2At=15 minutes, sort in every group of tower of off-load
2nd cooling tower runs 2 cooling towers；
When blower fan of cooling tower frequency is more than or equal to f3=35Hz and maintain reach t3At=2 minutes, loads and sort in every group of tower
2 cooling tower runs 4 cooling towers；
When blower fan of cooling tower frequency is more than or equal to f4=45Hz and maintain reach t4At=5 minutes, loads and sort in every group of tower
3 cooling tower runs 6 cooling towers, and so on.
Cooling tower water outlet temperature setting value is set according to outdoor temperature, outdoor temperature by taking outdoor wet-bulb temperature as an example,
Cooling tower water outlet temperature setting value can be set according to the following rules:
Wherein, TOutdoor wet-bulb temperature upper limit value、TOutdoor wet-bulb temperature lower limit value、TThe cooling tower leaving water temperature upper limit、TCooling tower leaving water temperature lower limitIt is that scene is adjusted etc. specific setting value
It is provided when examination.For example, working as TOutdoor wet-bulb temperature upper limit valueIt is 30 DEG C, TOutdoor wet-bulb temperature lower limit valueIt is 12 DEG C, TThe cooling tower leaving water temperature upper limitIt is 33 DEG C, TCooling tower leaving water temperature lower limit
When being 16 DEG C, cooling tower water outlet temperature setting value are as follows:
(4) Optimal Parameters obtaining step is obtained according to central air conditioner system energy consumption model and central air conditioner system energy efficiency model
Optimal parameters are taken, optimal parameters include water cooler water outlet temperature setting value, index circuit setting pressure difference, cooling
Water sets the temperature difference and cooling tower water outlet temperature setting value for return water；Specifically includes the following steps:
Comprehensive energy consumption objective function establishes sub-step, and system comprehensive energy consumption target is to obtain minimum value, the smaller adaptation of energy consumption
Angle value is bigger, while by being subject to a penalty penalty to system comprehensive energy consumption value to reduce end energy consumption fitness,
And then reduce the probability that this individual is genetic in next-generation group, it is integrated to be established according to central air conditioner system energy consumption model
Power dissipation obj ectives function F:
Wherein, penalty is penalty.
Cold source system energy efficiency model converts sub-step, and the constraint condition and control parameter to cold source system energy efficiency model carry out
Simplify to obtain cold source system efficiency transformation model, cold source system efficiency transformation model are as follows:
EERsys=f (TCHWS,Pset, Tx, Ty), TCHWSFor water cooler water outlet temperature setting value, unit is DEG C；PsetFor most
Unfavorable loop settings pressure difference, unit Pa；TxThe temperature difference is set for return water for cooling water, unit is DEG C；TyFor cooling tower leaving water temperature
Setting value, unit are DEG C.The constraint condition of cold source system efficiency transformation model includes water cooler constraint, chilled water pump, cooling
Water pump constraint etc..As water cooler constrains: for chilled water leaving water temperature, on the one hand receiving the limitation of refrigerating capacity, temperature is not
Can be too low, prevent evaporator from the phenomenon that bursting by freezing, the excessively high requirement for not being able to satisfy air-conditioned room refrigeration duty of temperature occur；Coolant water temperature
It spends range and guarantees that condensing pressure is not excessively high, within the safety standard of pressure vessel and equipment, guarantee the safe and reliable operation of equipment.
Chilled water pump, cooling water pump constraint: water cooler requires chilled-water flow cannot be too low, the danger that otherwise evaporator will have bursting by freezing
Danger；Cooling water flow do not answer yet it is too small, otherwise condenser be easy structure will seriously affect the heat exchange property of condenser, to influence
The operational energy efficiency of water cooler.
Optimal Parameters obtain sub-step, according to genetic algorithm or Bee Evolutionary algorithm, comprehensive energy consumption objective function and cold
Source system energy efficiency transformation model obtains optimal parameters.By genetic algorithm or Bee Evolutionary algorithm, set from balance association
Efficiency relationship between standby is set out, and optimizes calculatings to system, finds the required synthesis lowest energy consumption of air-conditioning system operation and comprehensive
Highest energy efficiency is closed, and forms central air-conditioning operational parameter data library.Optimization is calculated with " maximum allowable evolutionary generation " and " optimal
Whether body fitness and group's average fitness increase " two indexs control entire calculating process.
Referring to Fig. 5, Fig. 5 is an a kind of specific embodiment of the genetic algorithm of central air conditioner system control method in the present invention
Flow chart；Genetic algorithm operational process is divided into seven steps: Step1: initial population is generated, wherein each individual is bit string
Form, that is, chromosome, one group of control parameter, that is, individual；Step2: initial population fitness, simple target control are calculated
Energy consumption under molding formula is lower, and efficiency is higher, and fitness is higher；Step3: will select parent population using the method for roulette,
Each individual carries out heredity according to the probability of fitness, and the high surface adaptability of probability survives by force, and probability is low to be eliminated,
Embody the rule of the survival of the fittest of hereditary capacity.A possibility that ideal adaptation angle value height, that is, survival ability is stronger, existence is got over
Greatly, a possibility that being selected is bigger；Step4: parent population generates progeny population using single point crossing；Step5: new individual with
Machine variation；Step6: progeny population fitness is calculated；Step7: if finding optimal solution or reaching the number of iterations, algorithm stops,
Otherwise, turn step2.
Referring to Fig. 6, Fig. 6 is a kind of the one specific of the Bee Evolutionary algorithm of central air conditioner system control method in the present invention
Embodiment flow chart, Bee Evolutionary algorithm operational process are divided into eight steps: Step1: initial population are generated, wherein each individual is
The form of bit string, that is, chromosome, one group of control parameter, that is, individual；Step2: it is selected according to fitness function
Queen bee, the queen bee are that the elite physique in bee colony intersect mating with the high-quality drone alternatively come out, make the high-quality of queen bee
Gene genetic enters the next generation to mating drone；Step3: using the method for roulette by the new individual generated in population and life
The vigorous individual of power, which combines, generates new individual；Step4: parent and queen bee are using single point crossing generation progeny population；Step5: new
Individual random variation；Step6: new queen bee is selected in filial generation；Step7: filial generation fitness is calculated；Step8: if discovery optimal solution
Or reaching the number of iterations, then algorithm stops, and otherwise, turns step2.
(5) optimal parameters are fed back to water cooler rate-determining steps, chilled water pump with reference to Fig. 1 by feedback control step
It is real to control central air conditioner system according to optimal parameters for rate-determining steps, cooling water pump rate-determining steps and cooling tower rate-determining steps
Existing system comprehensive energy consumption is minimum and system comprehensive energy efficiency highest.With reference to Fig. 2, in system, the control of each equipment is in addition to by respective
Optimal control program (such as Fig. 2) control except, also optimized process control by team control, team control optimizes program, that is, Optimal Parameters and obtains
Step and feedback control step, the respective optimal control program of equipment and team control optimization process control central air conditioner system are realized comprehensive
Close that energy consumption is minimum and comprehensive energy efficiency highest.Please refer to Fig. 7, Fig. 7 is that a kind of central air conditioner system control method is in the present invention
One specific embodiment schematic diagram of energy consumption of uniting, illustrates energy consumption of each equipment under certain service condition, system lowest energy consumption
When each equipment optimized operation operating point be C point, C point is not the minimum point of single equipment energy consumption, but central air conditioner system
Equipment intercouple and affect one another connection under lowest energy consumption.
Efficiency relationship of the present invention between each associate device of balance system, it is whole using central air conditioner system as one
Body considers, minimum with whole system comprehensive energy consumption and efficiency up to controls optimization aim, by acquisition system operating parameter,
System equipment energy consumption model and cold source system energy efficiency model are established, system is carried out using genetic algorithm or Bee Evolutionary algorithm
Optimization calculates, and dynamically searches out optimization solution and realizes each equipment optimized operation work in the case where guaranteeing indoor environment comfort level demand
System energy consumption minimum comprehensive energy efficiency highest when condition, system annual energy-saving rate is up to 15%~40% after optimization, to realize " system "
The optimal control for energy saving of level is equivalent to and loads onto an intelligence " brain " for central air conditioner system, so that solving ubiquitous system has
The problems such as " bone " nothing " brain ", energy-saving effect is bad.
Embodiment 2
It is proposed that embodiment 2, embodiment 2 provide a kind of central air conditioner system control system based on embodiment 1, comprising:
System energy consumption model foundation unit, for being checked according to the actual operation parameters of central air conditioner system, filtering is established
Central air conditioner system energy consumption model, central air conditioner system energy consumption model include water cooler energy consumption model, chilled water pump energy consumption mould
Type, cooling water pump energy consumption model, cooling tower energy consumption model and end-equipment energy consumption model, the mesh of central air conditioner system energy consumption model
Scalar functions are Ptotal, Ptotal=Pchiller+PCHWpump+PCWpump+Ptfan+Pcfan, PchillerFor water cooler energy consumption, unit is
kW；PCHWpumpFor chilled water pump energy consumption, unit kW；PCWpumpFor cooling water pump energy consumption, unit kW；PtfanFor cooling tower energy
Consumption, unit kW；PcfanFor end-equipment energy consumption, unit kW；
System energy efficiency model foundation unit, for establishing central air conditioner system energy efficiency model, central air conditioner system efficiency mould
Type includes water cooler energy efficiency model, cooling system energy efficiency model and cold source system energy efficiency model；Water cooler energy efficiency model are as follows:COP is water cooler energy efficiency coefficient, QchillerFor the total semen donors of water cooler, unit kW；
Cooling system energy efficiency model are as follows:EER1For cooling system efficiency
Coefficient, QchillerFor the total semen donors of water cooler, unit kW；
Cold source system energy efficiency model are as follows:
QchillerFor the total semen donors of water cooler, unit kW；
Water cooler control unit, for obtaining water cooler leaving water temperature, according to water cooler leaving water temperature and cold water
Unit water outlet temperature setting value controls water cooler and adds and subtracts carrying row；
Chilled water pump control unit, for setting the frequency converter frequency of pressure difference adjustment chilled water pump according to index circuit；
Cooling water pump control unit, for obtaining cooling water supply backwater temperature difference, according to cooling water supply backwater temperature difference and cooling
Water is for return water setting temperature difference control cooling water pump gearshift adjustment operation；
Cooling tower control unit is discharged for obtaining cooling tower leaving water temperature according to cooling tower leaving water temperature and cooling tower
Desired temperature adjusts the operation number of units of blower fan of cooling tower and the running frequency of blower fan of cooling tower, cooling tower water outlet temperature setting value
For the sum of outdoor temperature and predetermined deviation value；
Optimal Parameters acquiring unit, for being obtained according to central air conditioner system energy consumption model and central air conditioner system energy efficiency model
Optimal parameters are taken, optimal parameters include water cooler water outlet temperature setting value, index circuit setting pressure difference, cooling
Water sets the temperature difference and cooling tower water outlet temperature setting value for return water；
Feedback control unit, for optimal parameters to be fed back to water cooler rate-determining steps, chilled water pump control step
Suddenly, cooling water pump rate-determining steps and cooling tower rate-determining steps control central air conditioner system according to optimal parameters and realize system
Comprehensive energy consumption is minimum and system comprehensive energy efficiency highest.
Specific work process description about central air conditioner system control system is repeated no more referring to the description of embodiment 1.
Embodiment 3
A kind of central air conditioner system control equipment, comprising:
At least one processor；And the memory being connect at least one described processor communication；Wherein,
The memory is stored with the instruction that can be executed by least one described processor, and described instruction is by described at least one
A processor executes, so that at least one described processor is able to carry out the central air conditioner system control method.About in
It entreats the specific descriptions of air conditioner system control method referring to the description of embodiment 1, repeats no more.
Embodiment 4
A kind of computer readable storage medium, the computer-readable recording medium storage have computer executable instructions,
The computer executable instructions are used to that computer to be made to execute the central air conditioner system control method.About central air-conditioning system
The specific descriptions for control method of uniting are repeated no more referring to the description of embodiment 1.
It is to be illustrated to preferable implementation of the invention, but the invention is not limited to the implementation above
Example, those skilled in the art can also make various equivalent variations on the premise of without prejudice to spirit of the invention or replace
It changes, these equivalent deformations or replacement are all included in the scope defined by the claims of the present application.
Claims (10)
1. a kind of central air conditioner system control method, which comprises the following steps:
System energy consumption model foundation step is checked according to the actual operation parameters of central air conditioner system, central air-conditioning is established in filtering
System energy consumption model, the central air conditioner system energy consumption model includes water cooler energy consumption model, chilled water pump energy consumption model, cold
But pump energy consumption model, cooling tower energy consumption model and end-equipment energy consumption model, the mesh of the central air conditioner system energy consumption model
Scalar functions are Ptotal, Ptotal=Pchiller+PCHWpump+PCWpump+Ptfan+Pcfan, PchillerFor water cooler energy consumption, PCHWpumpFor
Chilled water pump energy consumption, PCWpumpFor cooling water pump energy consumption, PtfanFor cooling tower energy consumption, PcfanFor end-equipment energy consumption；
System energy efficiency model foundation step establishes central air conditioner system energy efficiency model, the central air conditioner system energy efficiency model packet
Include water cooler energy efficiency model, cooling system energy efficiency model and cold source system energy efficiency model；
Wherein, water cooler energy efficiency model are as follows:COP is water cooler energy efficiency coefficient, QchillerFor water cooler
Total semen donors；
Cooling system energy efficiency model are as follows:EER1For cooling system energy efficiency coefficient,
QchillerFor the total semen donors of water cooler；
Cold source system energy efficiency model are as follows:
QchillerFor the total semen donors of water cooler；
Water cooler rate-determining steps obtain water cooler leaving water temperature, according to the water cooler leaving water temperature and water cooler
Water outlet temperature setting value controls water cooler and adds and subtracts carrying row；
Chilled water pump rate-determining steps set the frequency converter frequency of pressure difference adjustment chilled water pump according to index circuit；
Cooling water pump rate-determining steps obtain cooling water supply backwater temperature difference, are supplied according to the cooling water supply backwater temperature difference and cooling water
Return water sets temperature difference control cooling water pump gearshift adjustment operation；
Cooling tower rate-determining steps obtain cooling tower leaving water temperature, according to the cooling tower leaving water temperature and cooling tower leaving water temperature
Setting value adjusts the operation number of units of blower fan of cooling tower and the running frequency of blower fan of cooling tower, the cooling tower water outlet temperature setting value
For the sum of outdoor temperature and predetermined deviation value；
Optimal Parameters obtaining step is obtained according to the central air conditioner system energy consumption model and the central air conditioner system energy efficiency model
Take optimal parameters, the optimal parameters include water cooler water outlet temperature setting value, index circuit setting pressure difference,
Cooling water sets the temperature difference and cooling tower water outlet temperature setting value for return water；
The optimal parameters are fed back to the water cooler rate-determining steps, the chilled water pump control by feedback control step
Step, the cooling water pump rate-determining steps and the cooling tower rate-determining steps processed control center according to the optimal parameters
Air-conditioning system realizes that system comprehensive energy consumption is minimum and system comprehensive energy efficiency highest.
2. central air conditioner system control method according to claim 1, which is characterized in that the Optimal Parameters obtaining step
Include:
Comprehensive energy consumption objective function establishes sub-step, establishes comprehensive energy consumption target letter according to the central air conditioner system energy consumption model
Number F,
Wherein, penalty is penalty；
Cold source system energy efficiency model converts sub-step, and the constraint condition and control parameter to the cold source system energy efficiency model carry out
Simplify to obtain cold source system efficiency transformation model, the cold source system efficiency transformation model are as follows: EERsys=f (TCHWS,Pset,
Tx, Ty), TCHWSFor water cooler water outlet temperature setting value；PsetPressure difference is set for index circuit；TxIt is set for cooling water for return water
Determine the temperature difference；TyFor cooling tower water outlet temperature setting value；
Optimal Parameters obtain sub-step, are obtained according to the comprehensive energy consumption objective function and the cold source system efficiency transformation model
The optimal parameters.
3. central air conditioner system control method according to claim 2, which is characterized in that the Optimal Parameters obtain sub-step
Suddenly it specifically includes:
Mould is converted according to genetic algorithm or Bee Evolutionary algorithm, the comprehensive energy consumption objective function and the cold source system efficiency
Type obtains the optimal parameters.
4. central air conditioner system control method according to any one of claims 1 to 3, which is characterized in that the cooling-water machine
Group energy consumption model are as follows: Pchiller=WPLRadj,
Wherein,W is the general power of water cooler, PLRadjFor water chiller
Energy consumption rate of load condensate, QchillerFor the actual refrigerating capacity of water chiller, QnomFor the rated cooling capacity of water cooler, aiFor sub-load
Correction factor i=0,1,2.
5. central air conditioner system control method according to any one of claims 1 to 3, which is characterized in that the chilled water
Pump energy consumption model are as follows:
Wherein, mCHWFor chilled water pump actual flow, HCHWFor the practical lift of chilled water pump, gcFor flow lift coefficient；ηCHWIt is cold
Freeze the efficiency of pump.
6. central air conditioner system control method according to any one of claims 1 to 3, which is characterized in that the cooling water
Pump energy consumption model are as follows:
PCHpump=PCHpump, nom·(d0+d1·PLRCWpump+d2·PLR2 CWpump+d3·PLR3 CWpump),
Wherein, mCWFor cooling pump actual flow, mCW, nomFor cooling water pump metered flow, diFor model parameter, i=0,1,2,3.
7. central air conditioner system control method according to any one of claims 1 to 3, which is characterized in that the cooling tower
Energy consumption model are as follows:
Ptfan=Ptfan·nom·(e0+e1·PLRtfan+e2·PLR2 tfan+e3·PLR3 tfan),
Wherein, Ptfan,nomFor the rated power of cooling tower, maFor blower fan of cooling tower actual air flow, ma,nomFor blower fan of cooling tower
Nominal air delivery, eiFor model parameter, i=0,1,2,3.
8. a kind of central air conditioner system control system characterized by comprising
System energy consumption model foundation unit, for being checked according to the actual operation parameters of central air conditioner system, center is established in filtering
Air conditioning energy consumption model, the central air conditioner system energy consumption model include water cooler energy consumption model, chilled water pump energy consumption mould
Type, cooling water pump energy consumption model, cooling tower energy consumption model and end-equipment energy consumption model, the central air conditioner system energy consumption model
Objective function be Ptotal, Ptotal=Pchiller+PCHWpump+PCWpump+Ptfan+Pcfan, PchillerFor water cooler energy consumption,
PCHWpumpFor chilled water pump energy consumption, PCWpumpFor cooling water pump energy consumption, PtfanFor cooling tower energy consumption, PcfanFor end-equipment energy consumption；
System energy efficiency model foundation unit, for establishing central air conditioner system energy efficiency model, the central air conditioner system efficiency mould
Type includes water cooler energy efficiency model, cooling system energy efficiency model and cold source system energy efficiency model；Water cooler energy efficiency model are as follows:COP is water cooler energy efficiency coefficient, QchillerFor the total semen donors of water cooler；
Cooling system energy efficiency model are as follows:EER1For cooling system energy efficiency coefficient,
QchillerFor the total semen donors of water cooler；
Cold source system energy efficiency model are as follows:
QchillerFor the total semen donors of water cooler；
Water cooler control unit, for obtaining water cooler leaving water temperature, according to the water cooler leaving water temperature and cold water
Unit water outlet temperature setting value controls water cooler and adds and subtracts carrying row；
Chilled water pump control unit, for setting the frequency converter frequency of pressure difference adjustment chilled water pump according to index circuit；
Cooling water pump control unit, for obtaining cooling water supply backwater temperature difference, according to the cooling water supply backwater temperature difference and cooling
Water is for return water setting temperature difference control cooling water pump gearshift adjustment operation；
Cooling tower control unit is discharged for obtaining cooling tower leaving water temperature according to the cooling tower leaving water temperature and cooling tower
Desired temperature adjusts the operation number of units of blower fan of cooling tower and the running frequency of blower fan of cooling tower, the cooling tower leaving water temperature are set
Definite value is the sum of outdoor temperature and predetermined deviation value；
Optimal Parameters acquiring unit, for according to the central air conditioner system energy consumption model and the central air conditioner system efficiency mould
Type obtains optimal parameters, and the optimal parameters include water cooler water outlet temperature setting value, index circuit setting
Pressure difference, cooling water set the temperature difference and cooling tower water outlet temperature setting value for return water；
Feedback control unit, for the optimal parameters to be fed back to the water cooler rate-determining steps, the chilled water
Rate-determining steps, the cooling water pump rate-determining steps and the cooling tower rate-determining steps are pumped, are controlled according to the optimal parameters
Central air conditioner system realizes that system comprehensive energy consumption is minimum and system comprehensive energy efficiency highest.
9. a kind of central air conditioner system controls equipment characterized by comprising
At least one processor；And the memory being connect at least one described processor communication；Wherein,
The memory is stored with the instruction that can be executed by least one described processor, and described instruction is by described at least one
It manages device to execute, so that at least one described processor is able to carry out central air conditioner system as described in any one of claim 1 to 7
Control method.
10. a kind of computer readable storage medium, which is characterized in that the computer-readable recording medium storage has computer can
It executes instruction, the computer executable instructions are for making computer execute central hollow as described in any one of claim 1 to 7
Adjusting system control method.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811569428.2A CN109631282B (en) | 2018-12-21 | 2018-12-21 | Central air-conditioning system control method and system, equipment and storage medium thereof |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811569428.2A CN109631282B (en) | 2018-12-21 | 2018-12-21 | Central air-conditioning system control method and system, equipment and storage medium thereof |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN109631282A true CN109631282A (en) | 2019-04-16 |
| CN109631282B CN109631282B (en) | 2021-01-05 |
Family
ID=66076240
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811569428.2A Active CN109631282B (en) | 2018-12-21 | 2018-12-21 | Central air-conditioning system control method and system, equipment and storage medium thereof |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109631282B (en) |
Cited By (26)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110332848A (en) * | 2019-08-08 | 2019-10-15 | 长江慧控科技(武汉)有限公司 | A kind of cooling tower energy conservation increasing longevity control method, device and equipment based on BA |
| CN110553351A (en) * | 2019-09-06 | 2019-12-10 | 珠海格力电器股份有限公司 | Optimization method of air conditioner equipment load rate and air conditioner cloud group control system |
| CN110764848A (en) * | 2019-10-31 | 2020-02-07 | 河南尚能环保科技有限公司 | Air conditioner room group control strategy based on equal marginal efficiency rule |
| CN110762739A (en) * | 2019-11-11 | 2020-02-07 | 广东南方通信建设有限公司 | Data center air conditioner control method, device, equipment and storage medium |
| CN110895038A (en) * | 2019-12-06 | 2020-03-20 | 创新奇智(重庆)科技有限公司 | Energy consumption optimization method and system of water-cooled chiller unit based on machine learning |
| CN110906497A (en) * | 2019-11-04 | 2020-03-24 | 珠海格力电器股份有限公司 | Control system of central air conditioner and central air conditioner |
| CN111027181A (en) * | 2019-11-19 | 2020-04-17 | 广西电网有限责任公司 | Method for evaluating energy consumption of central air-conditioning cold water host based on dynamic energy efficiency parameters |
| CN111237989A (en) * | 2020-02-04 | 2020-06-05 | 青岛海信网络科技股份有限公司 | Building ventilation air conditioner control method and device based on load prediction |
| CN111397262A (en) * | 2020-03-20 | 2020-07-10 | 浙江中控技术股份有限公司 | Control method and device of refrigeration system |
| CN111425994A (en) * | 2020-04-09 | 2020-07-17 | 王涛 | Management and control system for optimizing energy consumption of central air conditioner |
| CN111798045A (en) * | 2020-06-30 | 2020-10-20 | 西安建筑科技大学 | Energy-saving optimization method for chilled water system of central air conditioner |
| CN111854033A (en) * | 2020-03-18 | 2020-10-30 | 深圳市紫衡技术有限公司 | Air conditioner intelligent optimization control method based on big data and terminal equipment |
| CN111898260A (en) * | 2020-07-20 | 2020-11-06 | 四川省建筑科学研究院有限公司 | Variable flow optimization control method and controller for central air conditioning system |
| CN112284182A (en) * | 2020-10-28 | 2021-01-29 | 上海能誉科技股份有限公司 | Energy-saving control system and method for cooling tower |
| CN112361566A (en) * | 2020-10-21 | 2021-02-12 | 深圳市紫衡技术有限公司 | Intelligent control method of air conditioning system and related device |
| CN113007873A (en) * | 2021-03-24 | 2021-06-22 | 中国能源建设集团华北电力试验研究院有限公司 | AI heating ventilation optimization control system of high in clouds operation |
| CN113091234A (en) * | 2021-04-08 | 2021-07-09 | 贵州汇通华城股份有限公司 | Method and system for selecting on-off state of refrigeration host |
| CN113465442A (en) * | 2021-06-29 | 2021-10-01 | 青岛海尔空调电子有限公司 | Method and system for determining energy consumption of cooling tower |
| CN113536525A (en) * | 2021-04-16 | 2021-10-22 | 广州地铁设计研究院股份有限公司 | Global optimal energy-saving control method for central air conditioner |
| CN113654215A (en) * | 2021-09-03 | 2021-11-16 | 上海美控智慧建筑有限公司 | Central air conditioning system processing method and device and electronic equipment |
| CN113739357A (en) * | 2021-08-24 | 2021-12-03 | 珠海格力电器股份有限公司 | Efficient machine room control method, device and system and central air conditioner |
| CN113739360A (en) * | 2021-08-31 | 2021-12-03 | 广州汇电云联互联网科技有限公司 | Energy-saving control method, device, equipment and medium based on multiple intelligent agents of cold station |
| CN113757943A (en) * | 2021-09-17 | 2021-12-07 | 广东电网有限责任公司 | Air conditioning system fault diagnosis method and system based on fault judgment rule |
| CN114279053A (en) * | 2021-12-24 | 2022-04-05 | 湖北华工能源股份有限公司 | Central air-conditioning system based on COP band theory and control method |
| CN115451550A (en) * | 2022-09-22 | 2022-12-09 | 无锡锐泰节能***科学有限公司 | Total energy consumption baseline optimization algorithm of central air-conditioning system based on optimal balance of supply and demand |
| CN115560430A (en) * | 2022-09-08 | 2023-01-03 | 金捷利工程技术(北京)有限公司 | Air conditioner model optimization method and system based on cloud-edge computing |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103453620A (en) * | 2013-08-18 | 2013-12-18 | 杭州展德软件技术有限公司 | Air conditioning system based on energy efficiency assessment and optimized control and method thereof |
| CN104613602A (en) * | 2015-02-02 | 2015-05-13 | 河海大学 | Central air conditioner fine control method |
| CN105444356A (en) * | 2015-12-08 | 2016-03-30 | 刘俊声 | Intelligent energy efficiency optimizing control system for central air conditioning system and control method of intelligent energy efficiency optimizing control system |
| CN105953353A (en) * | 2015-12-18 | 2016-09-21 | 华南理工大学 | Central air-conditioning cold source system quota control method and system |
| CN107314498A (en) * | 2017-05-25 | 2017-11-03 | 中国农业大学 | The efficiency on-line monitoring method and device of a kind of central air conditioner system |
| CN108489012A (en) * | 2018-01-30 | 2018-09-04 | 深圳市新环能科技有限公司 | Cold source of air conditioning energy efficiency model control method based on load prediction and constraint |
-
2018
- 2018-12-21 CN CN201811569428.2A patent/CN109631282B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103453620A (en) * | 2013-08-18 | 2013-12-18 | 杭州展德软件技术有限公司 | Air conditioning system based on energy efficiency assessment and optimized control and method thereof |
| CN104613602A (en) * | 2015-02-02 | 2015-05-13 | 河海大学 | Central air conditioner fine control method |
| CN105444356A (en) * | 2015-12-08 | 2016-03-30 | 刘俊声 | Intelligent energy efficiency optimizing control system for central air conditioning system and control method of intelligent energy efficiency optimizing control system |
| CN105953353A (en) * | 2015-12-18 | 2016-09-21 | 华南理工大学 | Central air-conditioning cold source system quota control method and system |
| CN107314498A (en) * | 2017-05-25 | 2017-11-03 | 中国农业大学 | The efficiency on-line monitoring method and device of a kind of central air conditioner system |
| CN108489012A (en) * | 2018-01-30 | 2018-09-04 | 深圳市新环能科技有限公司 | Cold source of air conditioning energy efficiency model control method based on load prediction and constraint |
Cited By (33)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110332848A (en) * | 2019-08-08 | 2019-10-15 | 长江慧控科技(武汉)有限公司 | A kind of cooling tower energy conservation increasing longevity control method, device and equipment based on BA |
| CN110553351A (en) * | 2019-09-06 | 2019-12-10 | 珠海格力电器股份有限公司 | Optimization method of air conditioner equipment load rate and air conditioner cloud group control system |
| WO2021042847A1 (en) * | 2019-09-06 | 2021-03-11 | 珠海格力电器股份有限公司 | Method for optimizing device load rate of air conditioner, and cloud group control system for air conditioner |
| CN110553351B (en) * | 2019-09-06 | 2020-08-11 | 珠海格力电器股份有限公司 | Optimization method of air conditioner equipment load rate and air conditioner cloud group control system |
| CN110764848A (en) * | 2019-10-31 | 2020-02-07 | 河南尚能环保科技有限公司 | Air conditioner room group control strategy based on equal marginal efficiency rule |
| CN110764848B (en) * | 2019-10-31 | 2024-03-12 | 河南尚能环保科技有限公司 | Air conditioner room group control strategy based on equal marginal efficiency rule |
| CN110906497A (en) * | 2019-11-04 | 2020-03-24 | 珠海格力电器股份有限公司 | Control system of central air conditioner and central air conditioner |
| CN110762739A (en) * | 2019-11-11 | 2020-02-07 | 广东南方通信建设有限公司 | Data center air conditioner control method, device, equipment and storage medium |
| CN110762739B (en) * | 2019-11-11 | 2021-11-26 | 广东南方通信建设有限公司 | Data center air conditioner control method, device, equipment and storage medium |
| CN111027181A (en) * | 2019-11-19 | 2020-04-17 | 广西电网有限责任公司 | Method for evaluating energy consumption of central air-conditioning cold water host based on dynamic energy efficiency parameters |
| CN111027181B (en) * | 2019-11-19 | 2022-11-29 | 广西电网有限责任公司 | Method for evaluating energy consumption of central air conditioner cold water host based on dynamic energy efficiency parameters |
| CN110895038A (en) * | 2019-12-06 | 2020-03-20 | 创新奇智(重庆)科技有限公司 | Energy consumption optimization method and system of water-cooled chiller unit based on machine learning |
| CN111237989A (en) * | 2020-02-04 | 2020-06-05 | 青岛海信网络科技股份有限公司 | Building ventilation air conditioner control method and device based on load prediction |
| CN111854033A (en) * | 2020-03-18 | 2020-10-30 | 深圳市紫衡技术有限公司 | Air conditioner intelligent optimization control method based on big data and terminal equipment |
| CN111397262A (en) * | 2020-03-20 | 2020-07-10 | 浙江中控技术股份有限公司 | Control method and device of refrigeration system |
| CN111425994A (en) * | 2020-04-09 | 2020-07-17 | 王涛 | Management and control system for optimizing energy consumption of central air conditioner |
| CN111798045A (en) * | 2020-06-30 | 2020-10-20 | 西安建筑科技大学 | Energy-saving optimization method for chilled water system of central air conditioner |
| CN111798045B (en) * | 2020-06-30 | 2023-05-26 | 西安建筑科技大学 | Energy-saving optimization method for chilled water system of central air conditioner |
| CN111898260A (en) * | 2020-07-20 | 2020-11-06 | 四川省建筑科学研究院有限公司 | Variable flow optimization control method and controller for central air conditioning system |
| CN112361566A (en) * | 2020-10-21 | 2021-02-12 | 深圳市紫衡技术有限公司 | Intelligent control method of air conditioning system and related device |
| CN112284182A (en) * | 2020-10-28 | 2021-01-29 | 上海能誉科技股份有限公司 | Energy-saving control system and method for cooling tower |
| CN113007873A (en) * | 2021-03-24 | 2021-06-22 | 中国能源建设集团华北电力试验研究院有限公司 | AI heating ventilation optimization control system of high in clouds operation |
| CN113091234A (en) * | 2021-04-08 | 2021-07-09 | 贵州汇通华城股份有限公司 | Method and system for selecting on-off state of refrigeration host |
| CN113536525A (en) * | 2021-04-16 | 2021-10-22 | 广州地铁设计研究院股份有限公司 | Global optimal energy-saving control method for central air conditioner |
| CN113465442A (en) * | 2021-06-29 | 2021-10-01 | 青岛海尔空调电子有限公司 | Method and system for determining energy consumption of cooling tower |
| CN113739357A (en) * | 2021-08-24 | 2021-12-03 | 珠海格力电器股份有限公司 | Efficient machine room control method, device and system and central air conditioner |
| CN113739360A (en) * | 2021-08-31 | 2021-12-03 | 广州汇电云联互联网科技有限公司 | Energy-saving control method, device, equipment and medium based on multiple intelligent agents of cold station |
| CN113654215A (en) * | 2021-09-03 | 2021-11-16 | 上海美控智慧建筑有限公司 | Central air conditioning system processing method and device and electronic equipment |
| CN113757943A (en) * | 2021-09-17 | 2021-12-07 | 广东电网有限责任公司 | Air conditioning system fault diagnosis method and system based on fault judgment rule |
| CN114279053A (en) * | 2021-12-24 | 2022-04-05 | 湖北华工能源股份有限公司 | Central air-conditioning system based on COP band theory and control method |
| CN115560430A (en) * | 2022-09-08 | 2023-01-03 | 金捷利工程技术(北京)有限公司 | Air conditioner model optimization method and system based on cloud-edge computing |
| CN115451550A (en) * | 2022-09-22 | 2022-12-09 | 无锡锐泰节能***科学有限公司 | Total energy consumption baseline optimization algorithm of central air-conditioning system based on optimal balance of supply and demand |
| CN115451550B (en) * | 2022-09-22 | 2023-10-27 | 无锡锐泰节能***科学有限公司 | Central air conditioning system total energy consumption base line optimizing algorithm based on optimal supply and demand balance |
Also Published As
| Publication number | Publication date |
|---|---|
| CN109631282B (en) | 2021-01-05 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109631282A (en) | A kind of central air conditioner system control method and its system, equipment, storage medium | |
| CN104613602B (en) | A kind of central air-conditioning Precise control method | |
| CN104807137B (en) | Method and device for controlling temperature and humidity of air conditioner | |
| CN105841300B (en) | It is a kind of meter and fresh air system central air-conditioning modeling and regulating strategy | |
| JP5375945B2 (en) | Air conditioning system that adjusts temperature and humidity | |
| CN113536525A (en) | Global optimal energy-saving control method for central air conditioner | |
| WO2013125650A1 (en) | Integrated type air conditioning system, control device therefor | |
| JP6072221B2 (en) | Air conditioning system | |
| CN103615788B (en) | A kind of control method of air conditioner | |
| CN115325682B (en) | Optimal control method and device for monitoring performance of efficient intelligent refrigeration machine room | |
| CN113739371B (en) | Central air conditioning system based on cloud cooperation and control method thereof | |
| CN102889650A (en) | Integral combination type computer room air conditioning unit and control method thereof | |
| CN102213470A (en) | Radiation and ventilation combined air-conditioning system | |
| CN104374003B (en) | Air conditioner having external air refrigeration function | |
| CN107917468A (en) | Air-conditining and its control method | |
| CN101498499B (en) | Cold/heat source integrated unit | |
| CN114611288A (en) | Intelligent efficient computer room energy-saving algorithm model of central air-conditioning system | |
| CN114576806A (en) | Central air-conditioning cooling water system energy-saving optimization method based on variable frequency control | |
| CN101915450B (en) | Multi-online indoor machine wind side bypass capacity control method and device thereof | |
| CN111706943A (en) | Radiation air-conditioning system with constant temperature layer coupled with air heat pump | |
| CN101986050A (en) | Method for controlling air-conditioner in variable volume modular unit | |
| CN104964394A (en) | Central air-conditioning energy efficiency control system based on linkage of wind and water and control method | |
| CN111898260A (en) | Variable flow optimization control method and controller for central air conditioning system | |
| CN114110884B (en) | New fan, control method thereof and computer readable storage medium | |
| CN111256313B (en) | Intelligent refrigeration quality adjusting algorithm |
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 |