CN109028446A - A kind of refrigerating plant room control method based on equipment overall performance model - Google Patents
A kind of refrigerating plant room control method based on equipment overall performance model Download PDFInfo
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- CN109028446A CN109028446A CN201810731097.1A CN201810731097A CN109028446A CN 109028446 A CN109028446 A CN 109028446A CN 201810731097 A CN201810731097 A CN 201810731097A CN 109028446 A CN109028446 A CN 109028446A
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- 238000000034 method Methods 0.000 title claims abstract description 26
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims abstract description 77
- 238000001816 cooling Methods 0.000 claims abstract description 23
- 238000005265 energy consumption Methods 0.000 claims description 23
- 239000000498 cooling water Substances 0.000 claims description 10
- 230000006870 function Effects 0.000 claims description 9
- 238000010801 machine learning Methods 0.000 claims description 5
- 230000006698 induction Effects 0.000 claims 1
- 238000005516 engineering process Methods 0.000 abstract description 5
- 238000004891 communication Methods 0.000 description 13
- 238000010586 diagram Methods 0.000 description 7
- 238000005057 refrigeration Methods 0.000 description 6
- 238000005457 optimization Methods 0.000 description 4
- 230000008901 benefit Effects 0.000 description 3
- 238000004378 air conditioning Methods 0.000 description 2
- 230000015556 catabolic process Effects 0.000 description 2
- 238000006731 degradation reaction Methods 0.000 description 2
- 238000013178 mathematical model Methods 0.000 description 2
- 230000021715 photosynthesis, light harvesting Effects 0.000 description 2
- 238000007792 addition Methods 0.000 description 1
- 238000011217 control strategy Methods 0.000 description 1
- 238000013500 data storage Methods 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 230000005611 electricity Effects 0.000 description 1
- 238000013277 forecasting method Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Classifications
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
-
- 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
- F24F2110/00—Control inputs relating to air properties
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F2110/00—Control inputs relating to air properties
- F24F2110/10—Temperature
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- Engineering & Computer Science (AREA)
- Chemical & Material Sciences (AREA)
- Combustion & Propulsion (AREA)
- Mechanical Engineering (AREA)
- General Engineering & Computer Science (AREA)
- Air Conditioning Control Device (AREA)
Abstract
The present invention is based on the refrigerating plant room control methods of equipment overall performance model.It is abstracted and is summarized by the overall performance data to cold water main unit, water pump and cooling tower in refrigerating plant room, establish overall performance model.The overall performance model of calibration is generated by the device data of field real-time acquisition again.Control system is according to the sensing data of refrigerating plant room, and using equipment overall performance model, traversal calculates each possible opening of device quantity and combinations of states, searches out optimal opening of device number of units and combinations of states.Open signal is transported to corresponding equipment by control system, realizes the control for opening number of devices to cold water computer room, solves the disadvantage that existing refrigerating plant room control technology can not be controlled according to equipment overall performance.The present embodiment method is realized under any operating condition, refrigerating plant room operates in the state of minimum power consumption always by using refrigerating plant room overall performance model.
Description
Technical field
The present invention relates to a kind of refrigerating plant room control methods based on equipment overall performance model.
Background technique
The refrigeration that refrigerating plant room is widely used in the fields such as civil buildings, business premises, factory, data center, hospital is empty
In adjusting system.Data show, air-conditioning system accounts for 50% or more of building total power consumption in civil building, and wherein refrigeration machine
Electricity consumed by room accounts for 70% or more of air-conditioning refrigeration system power consumption.The energy-efficient operation of refrigerating plant room is building and work
The energy-efficient important content of industry.General cold water computer room is made of equipment such as more cold water main units, water pump and cooling columns, and increasingly
More equipment uses converter technique.Control system in existing refrigerating plant room is mainly calculated each equipment using independent control
Method is controlled, and according to the preset parameter of declared working condition, determines the quantity and state of running equipment.Only it is directed to entire refrigeration machine
The all devices in room establish overall performance model, can realize the optimization of refrigerating plant room overall performance.
Application number: 201310246889.7 invention is related to a kind of refrigerator room energy-saving control system, including requirement forecasting
System, intelligent optimization system and programmable controller, the demand forecast system is to field controller from refrigerator room equipment institute
The data such as temperature, humidity, pressure, the flow of acquisition are analyzed, and are predicted load, are estimated parameter；The intelligence
Can optimization system end load and outdoor environment situation are analyzed, to water cooler, chilled water pump, cooling water pump performance with
Operating parameter is fitted function, matches cooling tower operational mode, obtains PRELIMINARY RESULTS with mathematical model, to PRELIMINARY RESULTS into
Row intelligent optimization operation obtain refrigerator room optimized operation as a result, and it is optional output to programmable controller.PLC technology
The frequency of each equipment runs each equipment under lowest energy consumption in device control refrigerator room, reaches energy-efficient purpose.
(1) application number 301310246889.7 calculates the efficiency best effort shape of cold water computer room by load forecasting method
State, and the deviation of load prediction and real-time load can mislead the calculating to cold water computer room best efficiency point.
(2) application number 301310246889.7 does not illustrate that the function between device performance parameters and cold water energy consumption of machine room closes
System.Meanwhile when carrying out Function Fitting, only considered water cooler and water pump, there is no by the performance parameter of cooling tower into
Line function fitting.Its intellectualized algorithm mentioned and mathematical model are also only a concept, without any formula and explanation.
(3) application number 301310246889.7 mentions its programmable controller and seeks each equipment in lowest energy consumption state
Operation, to realize the best energy consumption of entire cold water computer room.And in fact, being not institute when the energy consumption of entire computer room is minimum
There is equipment all to work in lowest energy consumption point.Such as the energy consumption of cooling tower is when reducing, the cold in-water temperature of water cooler can on
It rises, so that will lead to the energy consumption of water cooler can rise.
Summary of the invention
It is an object of the invention to overcome the above deficiencies in the existing technologies, and provide a kind of based on equipment full working scope
The refrigerating plant room control method of performance model.
Technical solution used by the present invention solves the above problems is:
A kind of refrigerating plant room control method based on equipment overall performance model, by cold water master in refrigerating plant room
The overall performance data of machine, water pump and cooling tower are abstracted and are summarized, and overall performance model is established；Pass through scene again
The device data acquired in real time generates the overall performance model of calibration；Control system according to the sensing data of refrigerating plant room,
Using the overall performance model of calibration, traversal calculates each possible opening of device quantity and combinations of states, searches out most
Excellent opening of device number of units and state；Open signal is transported to corresponding equipment by control system, is realized and is opened to cold water computer room
The control of number of devices and state.
Above-mentioned refrigerating plant room control method specifically comprises the following steps:
(1) by collecting the overall performance parameter in cold water main unit, water pump and the report of cooling tower type selecting, cooling water is established
Performance model between inlet and outlet temperature, cooling water flow, chilled water inlet and outlet temperature, main unit load and output power, passes through
Performance model simulates the performance under the various operating conditions of cold water main unit, obtains preconfigured overall performance pattern die；
(2) actual operating data that cold water main unit, water pump and cooling tower are collected by the I/O equipment of refrigerating plant room, to pre-
The overall performance model first configured is modified, and obtains the overall performance model of calibration；
(3) according to refrigerating plant room refrigerating capacity and outdoor wet-bulb temperature, use the overall performance model of calibration, calculate
Power consumed by the cold water main unit, water pump and cooling tower of different number is opened, show that the smallest correspondence of power needed for totality is set
Standby quantity and state, i.e. optimized operation logic；
(4) according to optimized operation logic, control instruction is sent to relevant device.
The lectotype selection report or overall performance parameter provided first according to device manufacturer, to the total energy consumption of cold water computer room
It is carried out curve fitting using binary polynomial equation, the pattern function on its basis is obtained by taking binary cubic equation as an example are as follows:
Pc=(aLc3+bLc2+cLc+d)x(eTc3+fTc2+gTc+h)
Wherein:
Pc: the power consumed required for cold water computer room；
Lc: the refrigerating capacity of cold water computer room；
Tc: the cooling water temperature of cold water computer room；
A, b, c, d, e, f, g, h: constant, numerical values recited can be that positive number is also negative, be provided according to equipment manufacturer
Energy consumption parameter in type selecting report under different operating conditions determines.
Performance degradation due to being installed by field device, after long-play etc. influences, equipment actual motion energy consumption meeting
There are certain deviations between the energy consumption data that producer provides.
The present invention can be according to the physical device operation data read from computer room group control system, using machine learning algorithm to power
Constant a, b, c, d, e, f, g, h are modified in pattern function described in benefit 3.
Compared with prior art, the present invention having the following advantages that and effect: what this method was provided according to equipment manufacturer first
Type selecting report or full working scope energy consumption data, initial full working scope energy consumption model is established to each equipment of refrigerating plant room.Pass through system
The actual operation parameters of cold room control system (BAS) are modified initial full working scope energy consumption model, the modified process
It is continual in real time；This method is in each calculating cycle, and using revised full working scope energy consumption model, traversal calculates each
The combination of kind opening of device number of units and state, obtains the smallest equipment of energy consumption and combinations of states.Refrigeration machine is sent by the instruction
Room control system.
Detailed description of the invention
Fig. 1 is the schematic diagram of refrigerating plant room control method of the embodiment of the present invention.
The step of Fig. 2 is refrigerating plant room control method of the embodiment of the present invention demonstrates block diagram.
Fig. 3 is the theory structure schematic diagram of air conditioner refrigerating room system of the embodiment of the present invention.
Fig. 4 is the structural block diagram of air conditioner refrigerating room system of the embodiment of the present invention.
Fig. 5 is schematic diagram of the embodiment of the present invention to its performance model fitted of centrifugal chiller room.
Fig. 6 is the schematic diagram of the performance model of calibration of the embodiment of the present invention.
Fig. 7 is refrigerating capacity of the embodiment of the present invention, coefficient of energy dissipation and the corresponding curve diagram for opening number of devices.
Specific embodiment
With reference to the accompanying drawing and by embodiment, the present invention is described in further detail, and following embodiment is to this
The explanation of invention, and the invention is not limited to following embodiments.
Referring to Fig. 1 and Fig. 2, refrigerating plant room control method of the present embodiment based on equipment overall performance model, including such as
Lower step:
(1) by overall performance parameter in the type selecting report of cold water main unit, cooling water inlet and outlet temperature, cooling water are established
Overall performance model between flow, chilled water inlet and outlet temperature, workload and output power, passage capacity model, mould
The performance under cold water main unit, water pump and the various operating conditions of cooling tower is drawn up, preconfigured performance model mould is obtained, to centrifugal cold
The overall performance model that water dispenser room fits is as shown in Figure 5:
(2) by the actual operating data of the I/O equipment collecting device of refrigerating plant room, to preconfigured performance model into
Row amendment, obtains the overall performance model of calibration, as shown in Figure 6；
(3) according to the refrigerating capacity of refrigerating plant room and outdoor wet-bulb temperature, using the overall performance model of calibration, calculating is opened
Power consumed by the cold water main unit, water pump and cooling tower of different number is opened, obtains the smallest corresponding equipment of power needed for totality
Quantity and state, i.e. optimized operation logic.As shown in fig. 7, abscissa is refrigerating capacity, ordinate is coefficient of energy dissipation, different curves
Represent different unlatching number of devices.；
(4) according to optimized operation logic, control instruction is sent to relevant device.
Lectotype selection report or overall performance parameter are provided according to device manufacturer first, the total energy consumption of cold water computer room is adopted
It is carried out curve fitting with binary polynomial equation, the pattern function on its basis is obtained by taking binary cubic equation as an example are as follows:
Pc=(aLc3+bLc2+cLc+d)x(eTc3+fTc2+gTc+h)
Wherein:
Pc: the power consumed required for cold water computer room；
Lc: the refrigerating capacity of cold water computer room；
Tc: the cooling water temperature of cold water computer room；
A, b, c, d, e, f, g, h: constant, numerical values recited can be that positive number is also negative, be provided according to equipment manufacturer
Energy consumption parameter in type selecting report under different operating conditions determines.
Performance degradation due to being installed by field device, after long-play etc. influences, equipment actual motion energy consumption meeting
There are certain deviations between the energy consumption data that producer provides.
This method can be according to the physical device operation data read from computer room group control system, using machine learning algorithm to power
Constant a, b, c, d, e, f, g, h are modified in pattern function described in benefit 3.
The present embodiment is taken out by the overall performance data to cold water main unit, water pump and cooling tower in refrigerating plant room
As and summarize, establish overall performance model.Again by the device data of field real-time acquisition, the overall performance of calibration is generated
Model.Control system is according to the sensing data of refrigerating plant room, and using the equipment overall performance model of calibration, traversal calculates every
A kind of possible opening of device quantity and combinations of states, search out optimal opening of device number of units and state.Control system will be opened
It opens signal and is transported to corresponding equipment, realize the control for opening number of devices and state to cold water computer room, solve existing refrigeration
The shortcomings that computer room control technology can not be controlled according to equipment overall performance.The present embodiment method is by using refrigerating plant room
Overall performance model calculates, and realizes under any operating condition, refrigerating plant room operates in the state of minimum power consumption always.
Based on above-mentioned refrigerating plant room control method, the present embodiment also provides a kind of air conditioner refrigerating room system, referring to fig. 4,
Air conditioner refrigerating room system includes refrigerating plant room control system (BAS), cloud computing server, wisdom controller, cold water main unit, water
Pump and cooling tower, the cloud computing server are connected to wisdom controller, cold water main unit, water pump and cooling tower.Wisdom control
Device processed is connected to refrigerating plant room control system (BAS), cold water main unit, water pump and cooling tower.Refrigerating plant room control system (BAS)
It is connected to cold water main unit, water pump and cooling tower.Wisdom controller is connected to refrigerating plant room control based on open communications protocol
System (BAS), refrigerating plant room control system (BAS) are connected to cold water main unit, water pump and cooling based on open communications protocol
Tower.Shown wisdom controller includes MCU processor, Internet of Things communication module, machine learning processor, communication module and data
Memory, MCU processor are connected to Internet of Things communication module, machine learning processor, communication module and data storage, object
Combined network communication module is connected to refrigerating plant room control system (BAS), cold water main unit, water pump and cooling tower, and communication module connects
It is connected to cloud computing server.
Working method such as Fig. 3, the air conditioner refrigerating computer room intelligence control system based on cloud computing is as follows:
(1) wisdom controller passes through open communications protocol reading BAS or equipment operating data；
(2) wisdom controller transmits data to Cloud Server by internet；
(3) Cloud Server calculates equipment optimized operation logic by algorithm；
(4) wisdom controller is sent by optimized operation logic；
(5) wisdom controller transmits data to BAS or equipment by open communications protocol.
The wisdom controller of air conditioner refrigerating computer room intelligence control system based on cloud computing passes through open communications protocol and system
The control system (BAS) or device controller in cold room carry out data communication, send cloud clothes by network for the data of acquisition
Business device after Cloud Server handles data, sends control instruction to wisdom controller, then by wisdom controller and passes through opening
The operating status of communications protocol control equipment.The control system of existing refrigerating plant room mainly guarantees equipment operational safety, realizes
The remote on-off of calculator room equipment.The present invention is based on the air conditioner refrigerating computer room intelligence control systems of cloud computing, can optimize former control
The control strategy of system processed realizes the raising of refrigerating plant room efficiency by the adjustment to equipment operating parameter.
Above content is only illustrations made for the present invention described in this specification.Technology belonging to the present invention
The technical staff in field, can make various modifications or additions to the described embodiments or by a similar method
Substitution, content without departing from description of the invention or beyond the scope defined by this claim should belong to this
The protection scope of invention.
Claims (4)
1. a kind of refrigerating plant room control method based on equipment overall performance model, it is characterised in that: by refrigerating plant room
The overall performance data of middle cold water main unit, water pump and cooling tower are abstracted and are summarized, and overall performance model is established；Again
The overall performance model of calibration is generated by the device data of field real-time acquisition；Control system is according to the induction of refrigerating plant room
Device data, using the equipment performance model, traversal calculates each possible opening of device quantity and combinations of states, searches out most
Excellent cold water computer room operation logic；Control system is transported to corresponding equipment according to this optimal logic, by open signal, control
The intelligent management to cold water computer room is realized in the operation of cold water computer room.
2. the refrigerating plant room control method according to claim 1 based on equipment overall performance model, it is characterised in that:
Specifically comprise the following steps:
(1) pass through cold water main unit, the overall performance parameter in water pump and the report of cooling tower type selecting establishes cooling water disengaging water temperature
Overall performance model between degree, cooling water flow, chilled water inlet and outlet temperature, workload and output power, passability
Energy model, simulates cold water main unit, the performance under water pump and the various operating conditions of cooling tower obtains preconfigured overall performance mould
Type；
(2) cold water main unit is collected by the I/O equipment of refrigerating plant room, the actual operating data of water pump and cooling tower, to matching in advance
The overall performance model set is modified, and obtains the overall performance model of calibration；
(3) it according to the refrigerating capacity of refrigerating plant room and outdoor wet-bulb temperature, is calculated and is opened not using the overall performance model of calibration
Power consumed by cold water main unit, water pump and cooling tower with quantity obtains the overall consumption the smallest corresponding number of devices of power
And state, i.e. optimized operation logic.
(4) according to optimized operation logic, control instruction is sent to relevant device.
3. the refrigerating plant room control method according to claim 1 based on equipment overall performance model, it is characterised in that:
The report of equipment full working scope type selecting or performance parameter provided first according to device manufacturer, uses binary to the total energy consumption of cold water computer room
Polynomial equation carries out curve fitting, and the pattern function on its basis is obtained by taking binary cubic equation as an example are as follows:
Pc=(aLc3+bLc2+cLc+d)x(eTc3+fTc2+gTc+h)
Wherein:
Pc: the power consumed required for cold water computer room
Lc: the refrigerating capacity of cold water computer room
Tc: the cooling water temperature of cold water computer room
A, b, c, d, e, f, g, h: constant, numerical values recited can be that positive number is also negative, the type selecting provided according to equipment manufacturer
Energy consumption parameter in report under different operating conditions determines.
4. the refrigerating plant room control method according to claim 3 based on equipment overall performance model, it is characterised in that:
According to the physical device operation data read from computer room group control system, using machine learning algorithm to model letter described in right 3
Constant a in number, b, c, d, e, f, g, h are modified.
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Cited By (12)
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| CN110392515A (en) * | 2019-07-23 | 2019-10-29 | 上海朗绿建筑科技股份有限公司 | A kind of Cooling and Heat Source equipment room energy-conserving control method and system based on historical data |
| CN110737252A (en) * | 2019-09-27 | 2020-01-31 | 南京大学 | Intelligent chemical system based on equipment selection |
| CN110781540A (en) * | 2019-09-30 | 2020-02-11 | 同济大学建筑设计研究院(集团)有限公司 | Design scheme analysis method and device, storage medium and computer equipment |
| CN111076354A (en) * | 2019-12-31 | 2020-04-28 | 珠海格力电器股份有限公司 | Equipment model selection method and system of central air conditioner |
| CN112747418A (en) * | 2021-01-05 | 2021-05-04 | 青岛海信日立空调系统有限公司 | Air conditioner and cloud server |
| CN113432268A (en) * | 2021-06-28 | 2021-09-24 | 广东美的白色家电技术创新中心有限公司 | Control method of module unit and related equipment |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN110392515A (en) * | 2019-07-23 | 2019-10-29 | 上海朗绿建筑科技股份有限公司 | A kind of Cooling and Heat Source equipment room energy-conserving control method and system based on historical data |
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| CN110781540B (en) * | 2019-09-30 | 2024-02-02 | 同济大学建筑设计研究院(集团)有限公司 | Design scheme analysis method and device, storage medium and computer equipment |
| CN110781540A (en) * | 2019-09-30 | 2020-02-11 | 同济大学建筑设计研究院(集团)有限公司 | Design scheme analysis method and device, storage medium and computer equipment |
| CN111076354A (en) * | 2019-12-31 | 2020-04-28 | 珠海格力电器股份有限公司 | Equipment model selection method and system of central air conditioner |
| CN112747418A (en) * | 2021-01-05 | 2021-05-04 | 青岛海信日立空调系统有限公司 | Air conditioner and cloud server |
| CN113432268A (en) * | 2021-06-28 | 2021-09-24 | 广东美的白色家电技术创新中心有限公司 | Control method of module unit and related equipment |
| CN114396714A (en) * | 2021-12-14 | 2022-04-26 | 广州智业节能科技有限公司 | System and method for automatically controlling and operating system starting number |
| CN114427742A (en) * | 2022-01-27 | 2022-05-03 | 广州施杰节能科技有限公司 | Central air-conditioning cold station energy efficiency control method, device, equipment and storage medium |
| CN114963631A (en) * | 2022-05-25 | 2022-08-30 | 珠海格力电器股份有限公司 | Control method and control device of refrigeration system and refrigeration system |
| CN114963631B (en) * | 2022-05-25 | 2023-08-15 | 珠海格力电器股份有限公司 | Control method and control device of refrigerating system and refrigerating system |
| CN114857812A (en) * | 2022-05-26 | 2022-08-05 | 深圳市英维克信息技术有限公司 | Energy-saving control method, energy-saving control device, electronic apparatus, and storage medium |
| CN114935222A (en) * | 2022-06-10 | 2022-08-23 | 中南大学 | Semiconductor refrigerator dynamic temperature distribution obtaining and refrigeration control method and system |
| CN115145211A (en) * | 2022-09-06 | 2022-10-04 | 上海桁壹高科技有限公司 | Control method, system, medium and electronic device of non-switching value device |
| CN115145211B (en) * | 2022-09-06 | 2022-12-09 | 上海桁壹高科技有限公司 | Control method, system, medium and electronic device of non-switching value device |
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Application publication date: 20181218 |