CN109595747A - The energy simulation method, apparatus of air-conditioning system - Google Patents

The energy simulation method, apparatus of air-conditioning system Download PDF

Info

Publication number
CN109595747A
CN109595747A CN201811579427.6A CN201811579427A CN109595747A CN 109595747 A CN109595747 A CN 109595747A CN 201811579427 A CN201811579427 A CN 201811579427A CN 109595747 A CN109595747 A CN 109595747A
Authority
CN
China
Prior art keywords
data
water
energy consumption
control program
chilled
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
Application number
CN201811579427.6A
Other languages
Chinese (zh)
Other versions
CN109595747B (en
Inventor
何玉雪
王升
刘国林
韩广宇
刘慧�
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Gree Electric Appliances Inc of Zhuhai
Zhuhai Gree Energy Environment Technology Co Ltd
Original Assignee
Gree Electric Appliances Inc of Zhuhai
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Gree Electric Appliances Inc of Zhuhai filed Critical Gree Electric Appliances Inc of Zhuhai
Priority to CN201811579427.6A priority Critical patent/CN109595747B/en
Publication of CN109595747A publication Critical patent/CN109595747A/en
Application granted granted Critical
Publication of CN109595747B publication Critical patent/CN109595747B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24HEATING; RANGES; VENTILATING
    • F24FAIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00Control or safety arrangements
    • F24F11/30Control or safety arrangements for purposes related to the operation of the system, e.g. for safety or monitoring
    • F24F11/46Improving electric energy efficiency or saving
    • F24F11/47Responding to energy costs
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24HEATING; RANGES; VENTILATING
    • F24FAIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00Control or safety arrangements
    • F24F11/62Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values

Abstract

This application involves a kind of energy simulation method, apparatus of air-conditioning system.The described method includes: obtaining figure of cold load evidence;According to the figure of cold load according to generation control program;Calculate the comprehensive energy efficiency ratio of the control program;According to the Energy Saving Control scheme in the comprehensive energy efficiency control program more described than determination.The look-ahead that can be realized air conditioning energy consumption using this method makes air-conditioning system optimal lectotype selection and optimal control strategy may be implemented early period in design, and running is made to be in optimal level, improves operational efficiency.

Description

The energy simulation method, apparatus of air-conditioning system
Technical field
This application involves air-conditioning system technical field, more particularly to a kind of air-conditioning system energy simulation method, apparatus, Computer equipment and storage medium.
Background technique
At present in HVAC industry, the energy consumption problem of Air Conditioning Facilities is the place of a worth significant concern, in industry always All in further investigated;
When designer is designed or is transformed to air-conditioning system early period, to lectotype selection whether rationally, energy conservation have no according to According to standard;Since system schema is various, it is directed not only to primary pump, secondary pumping system scheme, frequency conversion system scheme is determined, is also big The schemes such as small machine system calculate refrigeration season energy consumption by artificial mode, and higher cost, designer is often according to previous warp It tests and is designed, the energy-saving effect for designing early period is caused to cannot be guaranteed.
Secondly, whether Energy Saving Strategy is reasonable, the data such as comprehensive energy efficiency ratio when equipment manufacturer carries out team control Control System Design And do not know, it is only artificially debugged in engineering site according to end load operating condition, can just be adjusted after system stable operation Test result.
And air-conditioning system, after delivering user, whether the energy consumption of system reaches whether expected energy-saving effect, air-conditioning equipment are located Whether it is optimal strategy etc. and does not know in the Energy Saving Control strategy of optimized operation level, system;As it can be seen that existing air-conditioning system There are control strategy, systems to run the problems such as unreasonable for system.
Summary of the invention
Based on this, it is necessary to run unreasonable problem for the control strategy of existing air-conditioning system, system, provide one kind Can be realized the energy simulation method, apparatus of the optimal air-conditioning system of expection energy-saving effect of air-conditioning system, computer equipment and Storage medium.
A kind of energy simulation method of air-conditioning system, which comprises
Obtain figure of cold load evidence;
According to the figure of cold load according to generation control program;
Calculate the comprehensive energy efficiency ratio of the control program;
According to the Energy Saving Control scheme in the comprehensive energy efficiency control program more described than determination.
In one of the embodiments, it is described according to the figure of cold load according to generate control program, comprising:
Air-conditioning system design scheme is generated according to building maximum refrigeration duty of the figure of cold load in;
Corresponding control program is generated according to the air-conditioning system design scheme.
The comprehensive energy efficiency ratio for calculating the control program in one of the embodiments, comprising:
Calculate the refrigerating capacity in each control program;
Calculate the energy consumption data of refrigeration equipment in each control program;
The ratio of the refrigerating capacity and the energy consumption data is determined to the comprehensive energy efficiency ratio of each control program.
The energy consumption data for calculating refrigeration equipment in each control program in one of the embodiments, packet It includes:
Calculate the first energy consumption data of chilled water pump in each control program;
Calculate the second energy consumption data of cooling water pump in each control program;
Calculate the third energy consumption data of cooling tower in each control program;
Calculate the 4th energy consumption data of water cooler in each control program;
The summation of first energy consumption data, the second energy consumption data, third energy consumption data and the 4th energy consumption data is determined For the energy consumption data of the refrigeration equipment.
The first energy consumption number for calculating chilled water pump in each control program in one of the embodiments, According to, comprising:
Obtain chilled water supply backwater temperature difference data;
Chilled-water flow is calculated according to the chilled water supply backwater temperature difference data;
The hydraulic pressure drop of freezing side air-conditioning equipment is calculated according to the chilled-water flow;
According to the hydraulic pressure drop of the freezing side air-conditioning equipment, the first practical lift data of chilled water pump are obtained;
The chilled-water flow and the first practical lift data pair are calculated according to preset water pump semi-empirical mathematical model First real-time frequency of the chilled water pump answered;
The chilled-water flow, the first practical lift data, are calculated according to preset water pump semi-empirical mathematical model First energy consumption data of the corresponding chilled water pump of one real-time frequency.
The second energy consumption number for calculating cooling water pump in each control program in one of the embodiments, According to, comprising:
Obtain cooling water supply backwater temperature difference data;
Cooling water flow is calculated according to the cooling water supply backwater temperature difference data;
The hydraulic pressure drop of cold side air-conditioning equipment is calculated according to the cooling water flow;
It is dropped according to the hydraulic pressure of the cold side air-conditioning equipment, obtains the second practical lift data of cooling water pump;
The cooling water flow and the second practical lift data pair are calculated by preset water pump semi-empirical mathematical model Second real-time frequency of the cooling water pump answered;
The cooling water flow, the second practical lift data, are calculated according to preset water pump semi-empirical mathematical model Second energy consumption data of the corresponding cooling water pump of two real-time frequencies.
The third energy consumption data for calculating cooling tower in each control program in one of the embodiments, Include:
Obtain cooling water flow;
Actual air volume according to the cooling water flow and optimal geomantic omen than blower fan of cooling tower is calculated;
The third energy of the corresponding cooling tower of the actual air volume is calculated by preset cooling tower semi-empirical mathematical model Consume data.
The 4th energy consumption number for calculating water cooler in each control program in one of the embodiments, According to, comprising:
Obtain outdoor wet-bulb temperature;
Obtain chilled water leaving water temperature, chilled-water flow, cooling water flow and figure of cold load evidence;
According to the outdoor wet bulb temperature calcuation cooling tower leaving water temperature;
The cooling tower leaving water temperature is determined as cold in-water temperature;
According to the chilled water leaving water temperature, chilled-water flow, cold in-water temperature, cooling water flow and figure of cold load According to calculating the 4th energy consumption data of water cooler by preset water cooler semi-empirical mathematical model.
The hydraulic pressure drop of the freezing side air-conditioning equipment includes the hydraulic pressure of water cooler evaporator in one of the embodiments, Drop, freezing general pipeline are dropped for return water pressure difference, ancillary equipment hydraulic pressure and the hydraulic pressure drop of freezing pipeline, valve, pipe fitting;It is described according to The hydraulic pressure drop for freezing side air-conditioning equipment, obtains the first practical lift data of chilled water pump, comprising:
By the hydraulic pressure drop of the water cooler evaporator, freezing general pipeline is dropped for return water pressure difference, ancillary equipment hydraulic pressure and freezing The summation of the hydraulic pressure drop of pipeline, valve, pipe fitting is determined as the described first practical lift data.
It is described in one of the embodiments, that the chilled water flow is calculated according to preset water pump semi-empirical mathematical model First real-time frequency of amount and the corresponding chilled water pump of the first practical lift data, comprising:
Obtain predeterminated frequency;
Specific frequency chilled water water flow is calculated according to the predeterminated frequency;
It is corresponding specific that the specific frequency chilled water water flow is calculated according to preset water pump semi empirical calculation model Frequency lift data;
The first current lift data are calculated according to the specific frequency lift data and the predeterminated frequency;
When the difference of the described first current lift data and the first practical lift data is greater than the first iteration error, return The step of acquisition predeterminated frequency;
When the difference of the described first current lift data and the first practical lift data is less than the first iteration error, institute is determined Stating predeterminated frequency is the first real-time frequency.
The hydraulic pressure drop of the cold side air-conditioning equipment includes the hydraulic pressure of water cooler condenser in one of the embodiments, The hydraulic pressure drop of drop, the lift data of cooling tower, ancillary equipment hydraulic pressure drop and cooling line, valve, pipe fitting;It is described according to described cold But the hydraulic pressure drop of side air-conditioning equipment, obtains the second practical lift data of cooling water pump, comprising:
By the hydraulic pressure drop of the water cooler condenser, the lift data of cooling tower, ancillary equipment hydraulic pressure drop and cooling tube Road, valve, the summation that the hydraulic pressure of pipe fitting drops are determined as the described second practical lift data.
It is described in one of the embodiments, that the cooling water flow is calculated by preset water pump semi-empirical mathematical model Second real-time frequency of amount and the corresponding cooling water pump of the second practical lift data, comprising:
Obtain predeterminated frequency;
Specific frequency cooling water flow is calculated according to the predeterminated frequency;
It is corresponding specific that the specific frequency cooling water flow is calculated according to preset water pump semi empirical calculation model Frequency lift data;
The second current lift data are calculated according to the specific frequency lift data and the predeterminated frequency;
When the difference of the described second current lift data and the second practical lift data is greater than secondary iteration error, return The step of acquisition predeterminated frequency;
When the difference of the described second current lift data and the second practical lift data is less than secondary iteration error, determine The predeterminated frequency is the second real-time frequency.
It is described in one of the embodiments, that the practical wind is calculated by preset cooling tower semi-empirical mathematical model Measure the third energy consumption data of corresponding cooling tower, comprising:
The Initial Energy data of acquisition blower fan of cooling tower and initial air quantity;
It is fitted according to the Initial Energy data and initial air quantity, obtains the cooling tower semi-empirical mathematical model;
The actual air volume is input to the cooling tower semi-empirical mathematical model, obtains the third energy consumption of the cooling tower Data.
The water cooler includes evaporator, condenser in one of the embodiments,;It is described to be gone out according to the chilled water Coolant-temperature gage, chilled-water flow, cold in-water temperature, cooling water flow and figure of cold load evidence pass through preset water cooler half Empirical mathematical model calculates the 4th energy consumption data of water cooler, comprising:
The evaporator leaving water temperature is determined as chilled water leaving water temperature;
The evaporator water flow is determined as chilled-water flow;
The condenser water flow is determined as cooling water flow;
By the chilled water leaving water temperature, chilled-water flow, cold in-water temperature, cooling water flow and figure of cold load evidence It is input to the preset water cooler semi-empirical mathematical model, obtains the 4th energy consumption data.
The outdoor wet-bulb temperature of the acquisition in one of the embodiments, comprising:
Obtain meteorological data;Wherein, the meteorological data includes outdoor dry-bulb temperature and relative humidity;
It is converted according to the outdoor dry-bulb temperature and relative humidity, obtains outdoor wet-bulb temperature.
The Energy Saving Control according in the comprehensive energy efficiency control program more described than determination in one of the embodiments, Scheme, comprising:
The control program is ranked up according to the comprehensive energy efficiency ratio;
Comprehensive energy efficiency is determined as the Energy Saving Control scheme than the control program of highest preset quantity.
A kind of energy simulation device of air-conditioning system, described device include:
Module is obtained, for obtaining figure of cold load evidence;
Generation module is used for according to the figure of cold load according to generation control program;
Computing module, for calculating the comprehensive energy efficiency ratio of the control program;
Determining module, for according to the Energy Saving Control scheme in the comprehensive energy efficiency control program more described than determination.
A kind of computer equipment, including memory and processor, the memory are stored with computer program, the processing Device performs the steps of when executing the computer program
Obtain figure of cold load evidence;
According to the figure of cold load according to generation control program;
Calculate the comprehensive energy efficiency ratio of the control program;
According to the Energy Saving Control scheme in the comprehensive energy efficiency control program more described than determination.
A kind of computer readable storage medium, is stored thereon with computer program, and the computer program is held by processor It is performed the steps of when row
Obtain figure of cold load evidence;
According to the figure of cold load according to generation control program;
Calculate the comprehensive energy efficiency ratio of the control program;
According to the Energy Saving Control scheme in the comprehensive energy efficiency control program more described than determination.
Energy simulation method, apparatus, computer equipment and the storage medium of above-mentioned air-conditioning system, by obtaining figure of cold load According to;According to the figure of cold load according to generation control program;Calculate the comprehensive energy efficiency ratio of the control program;According to the synthesis Energy Efficiency Ratio determines the Energy Saving Control scheme in the control program;The simulating scheme of air-conditioning system is established, air-conditioning system can be carried out Unite design selection early period, realize the look-ahead of air conditioning energy consumption, make air-conditioning system design early period may be implemented it is optimal Lectotype selection and optimal control strategy make running be in optimal level, improve operational efficiency.
Detailed description of the invention
Fig. 1 is a kind of flow diagram of the energy simulation method of air-conditioning system of one embodiment;
Fig. 2 is a kind of structural block diagram of the energy simulation device of air-conditioning system of one embodiment;
Fig. 3 is a kind of internal structure chart of computer equipment of one embodiment.
Specific embodiment
It is with reference to the accompanying drawings and embodiments, right in order to which the objects, technical solutions and advantages of the application are more clearly understood The application is further elaborated.It should be appreciated that specific embodiment described herein is only used to explain the application, not For limiting the application.
The energy simulation method of air-conditioning system provided by the present application, can be applied in terminal or server, the terminal It can be, but not limited to be various personal computers, laptop, smart phone, tablet computer and portable wearable device, The operating system of the terminal may include Windows, Linux, Android (Android), IOS, Windows Phone etc., sheet Embodiment to this with no restriction.
In one embodiment, it as shown in Figure 1, providing a kind of energy simulation method of air-conditioning system, answers in this way For being illustrated for terminal, comprising the following steps:
Step S201 obtains figure of cold load evidence;
In the present embodiment, the terminal can be the component part of air-conditioning system, and the terminal can run emulation and answer With program, figure of cold load evidence can be preset in the emulation application, it should be noted that the figure of cold load is according to may include Maximum refrigeration duty of refrigeration duty, building of the unit area of difference building type etc..
Further, the terminal can also get meteorological data, can be corrected according to the meteorological data described cold Load data;The meteorological data may include outdoor dry-bulb temperature, relative humidity etc., the present embodiment to this with no restriction;? To correct the figure of cold load evidence according to above-mentioned outdoor dry-bulb temperature, relative humidity.
Step S202, according to the figure of cold load according to generation control program;
It is further applicable in the present embodiment, the terminal can be first according to figure of cold load according to the multiple control programs of generation It can be first ok according to figure of cold load according to one or more air-conditioning system design schemes, each air-conditioning system design scheme is generated Including relevant air-conditioning equipment information, which may include water cooler, chilled water pump, cooling water pump, cooling tower etc..
It is set specifically, the terminal can search for the one or more air-conditioning systems of matching automatically by emulation application Meter scheme, including the corresponding air-conditioning equipment of matching, such as water cooler, chilled water pump, cooling water pump, cooling tower, heat exchanger and wind Machine etc.;Preferably, which may include display window, and all design of air conditioning are shown in display window Scheme and its corresponding air-conditioning equipment information.
On the other hand, terminal can also receive user instructions, according to described instruction to the air-conditioning system design scheme into Row adjustment, specifically, the adjustable water cooler model, chilled water pump or cooling water pump model, cooling tower and relevant device Model etc..
Each air-conditioning system design scheme may have corresponding one or more control program, which can be with The control program being made of different control strategies, control strategy can be with water cooler adding machine strategy, equipment operation duration plans Slightly etc..
For example, according to refrigeration duty size of data, segmentation calculates water cooler and runs number of units Simulation Application degree, and presses According to the start and stop of water cooler efficiency optimization of profile water cooler, the water cooler adding machine strategy can building for current time When building minimum load of the refrigeration duty less than the water cooler of minimum capacity, it is not turned on water cooler;Current time building cooling load More than or equal to minimum capacity water cooler minimum load when, open 1 minimum capacity water cooler, water cooler is in most Smaller load operating status;When the building cooling load at current time adds machine load setting value more than or equal to group control system, 1 is increased Water cooler.
Step S203 calculates the comprehensive energy efficiency ratio of the control program;
It is specifically applied in the present embodiment, which can calculate the comprehensive energy efficiency ratio of the multiple control program;It should The ratio of energy consumption data of the comprehensive energy efficiency than referring to refrigerating capacity and refrigeration equipment in preset time period.It should be noted that should Refrigerating capacity in preset time period can be by when cooling capacity aggregate-value;The refrigeration equipment refers to the corresponding air-conditioning of the control program Refrigeration equipment in equipment, i.e. the energy consumption data of the refrigeration equipment may include water cooler, chilled water pump, cooling water pump, cold But the energy consumption data of tower.
Specifically, the terminal can be by the energy of the refrigeration equipment in the refrigerating capacity and preset time period in preset time period The ratio of data is consumed as comprehensive energy efficiency ratio;The preset time period can be a certain year, several years, some moon, several months or a certain It etc., the present embodiment to this with no restriction.
Step S204, according to the Energy Saving Control scheme in the comprehensive energy efficiency control program more described than determination.
Specifically, terminal can compare control program according to comprehensive energy efficiency and be ranked up, and comprehensive energy efficiency is more pre- than highest The control program of count number is determined as the Energy Saving Control scheme, is such as determined as comprehensive energy efficiency than highest N number of control program The Energy Saving Control scheme, wherein N is positive integer;Because each control program has with some air-conditioning system design scheme Corresponding relationship, i.e. the Energy Saving Control scheme also with some air-conditioning system design scheme have corresponding relationship, can determine with It is optimal air-conditioning system design scheme that the Energy Saving Control scheme, which has the air-conditioning system design scheme of corresponding relationship,
Certainly, if the quantity of the Energy Saving Control scheme is N number of, the quantity of the optimal air-conditioning system design scheme It can be N number of;Technical staff can carry out the design of air-conditioning system according to the optimal air-conditioning system design scheme, then by being somebody's turn to do Energy Saving Control scheme controls corresponding air-conditioning equipment operation.
According to the energy simulation method of air-conditioning system provided in this embodiment, figure of cold load evidence is obtained;According to described cold negative Lotus data generate control program;Calculate the comprehensive energy efficiency ratio of the control program;Compared described in determining according to the comprehensive energy efficiency Energy Saving Control scheme in control program;The simulating scheme of air-conditioning system is established, air-conditioning system design selection early period can be carried out, The look-ahead for realizing air conditioning energy consumption makes air-conditioning system that optimal lectotype selection and optimal may be implemented early period in design Control strategy makes running be in optimal level, improves operational efficiency.
In another embodiment, it is described according to the figure of cold load according to generating control program, comprising: according to described cold negative Building maximum refrigeration duty in lotus data generates air-conditioning system design scheme;It is generated and is corresponded to according to the air-conditioning system design scheme Control program.
In concrete application, terminal can be according to figure of cold load according to air-conditioning system design scheme is generated, further according to the air-conditioning system Design scheme of uniting generates corresponding multiple control programs;In emulation application, the cold of different typical buildings can be preset The meteorological data of load data and different regions, the meteorological data can be used for correcting the figure of cold load evidence;The figure of cold load According to may include building maximum refrigeration duty, terminal can generate air-conditioning system design scheme according to maximum refrigeration duty is built.
In another embodiment, the comprehensive energy efficiency ratio for calculating the control program, comprising: calculate each institute State the refrigerating capacity in control program;Calculate the energy consumption data of refrigeration equipment in each control program;By the refrigerating capacity The comprehensive energy efficiency ratio of each control program is determined with the ratio of the energy consumption data.
In the case where generating multiple control programs, terminal can calculate the comprehensive energy efficiency ratio of each control program; Specifically, can calculate the refrigerating capacity in each control program, i.e., by the cooling capacity of each control program carry out by when tire out Meter obtains the refrigerating capacity in preset time period.
Further, terminal can also calculate the energy consumption data of refrigeration equipment in each control program, such as calculate The cooling water pump and the energy consumption of chilled water pump etc. out, the energy consumption data of the refrigeration equipment also refer to the energy in preset time period Data are consumed, the ratio of refrigerating capacity and energy consumption data in preset time period is determined as to the comprehensive energy efficiency ratio of the control program;Such as This, after the comprehensive energy efficiency ratio for calculating each control program, can determine the comprehensive energy efficiency ratio of multiple control program.
In another embodiment, the energy consumption data for calculating refrigeration equipment in each control program, comprising: Calculate the first energy consumption data of chilled water pump in each control program;Calculate cooling water in each control program Second energy consumption data of pump;Calculate the third energy consumption data of cooling tower in each control program;It calculates each described 4th energy consumption data of water cooler in control program;By first energy consumption data, the second energy consumption data, third energy consumption data And the 4th the summation of energy consumption data be determined as the energy consumption data of the refrigeration equipment.
In the present embodiment, which can be with chilled water pump, cooling water pump, cooling tower and water cooler etc., this reality Example is applied to this with no restriction;Terminal can calculate the energy consumption data of each refrigeration equipment, by the energy consumption number of all refrigeration equipments According to adding up, total energy consumption data is obtained.
In another embodiment, first energy consumption data for calculating chilled water pump in each control program, It include: to obtain chilled water supply backwater temperature difference data;Chilled-water flow is calculated according to the chilled water supply backwater temperature difference data; The hydraulic pressure drop of freezing side air-conditioning equipment is calculated according to the chilled-water flow;According to the hydraulic pressure of the freezing side air-conditioning equipment Drop, obtains the first practical lift data of chilled water pump;The freezing is calculated according to preset water pump semi-empirical mathematical model First real-time frequency of water flow and the corresponding chilled water pump of the first practical lift data;According to preset water pump semiempirical mathematics Model calculates the first energy of the chilled-water flow, the first practical lift data, the corresponding chilled water pump of the first real-time frequency Consume data.
In the present embodiment, chilled-water flow can be calculated according to the chilled water supply backwater temperature difference data in terminal, then The hydraulic pressure drop of freezing side air-conditioning equipment is calculated according to the chilled-water flow, is dropped to obtain the first practical lift number according to hydraulic pressure According to, then the first real-time frequency of chilled water pump is calculated by preset water pump semi-empirical mathematical model, further according to described pre- The first energy consumption data of chilled water pump is calculated in the water pump semi-empirical mathematical model set.
It should be noted that the water pump semi-empirical mathematical model is the empirical mathematical mould being preset in emulation application Type can be fitted by initial water pump operation data and be obtained, which can calculate any operation All operating parameters of cooling water pump or chilled water pump under working condition.
In another embodiment, second energy consumption data for calculating cooling water pump in each control program, It include: to obtain cooling water supply backwater temperature difference data;Cooling water flow is calculated according to the cooling water supply backwater temperature difference data; The hydraulic pressure drop of cold side air-conditioning equipment is calculated according to the cooling water flow;According to the hydraulic pressure of the cold side air-conditioning equipment Drop, obtains the second practical lift data of cooling water pump;
The cooling water flow and the second practical lift data pair are calculated by preset water pump semi-empirical mathematical model Second real-time frequency of the cooling water pump answered;According to preset water pump semi-empirical mathematical model calculate the cooling water flow, Second energy consumption data of the second practical lift data, the corresponding cooling water pump of the second real-time frequency.
In the present embodiment, cooling water flow can be calculated according to the cooling water supply backwater temperature difference data in terminal, then The hydraulic pressure drop of cold side air-conditioning equipment is calculated according to the cooling water flow, is dropped to obtain the second practical lift number according to hydraulic pressure According to, then the second real-time frequency of cooling water pump is calculated by preset water pump semi-empirical mathematical model, further according to described pre- The second energy consumption data of cooling water pump is calculated in the water pump semi-empirical mathematical model set.
In another embodiment, the third energy consumption data for calculating cooling tower in each control program, packet It includes: obtaining cooling water flow;Actual air volume according to the cooling water flow and optimal geomantic omen than blower fan of cooling tower is calculated; The third energy consumption data of the corresponding cooling tower of the actual air volume is calculated by preset cooling tower semi-empirical mathematical model.
Specifically, terminal can be according to the cooling water flow and optimal geomantic omen than obtaining the practical wind of blower fan of cooling tower It measures, then calculates the third energy consumption number of the corresponding cooling tower of the actual air volume by preset cooling tower semi-empirical mathematical model According to.
The preset cooling tower semi-empirical mathematical model can be intended by the data in blower fan of cooling tower power curve Close and obtain, specifically, when extracting blower maximum frequency in the blower fan of cooling tower power curve power data of blower with The relation data of air quantity data, each of this group of data power data (i.e. Initial Energy data) all correspond to an air quantity Data (initial air quantity) obtain the Initial Energy data of blower fan of cooling tower and the mathematical formulae of initial air quantity by the Fitting Calculation, That is cooling tower semi-empirical mathematical model.
It should be noted that being limited in the minimum cold in-water temperature that cooling tower leaving water temperature is less than or equal to water cooler When value, blower fan of cooling tower does not subtract frequency.It is greater than the minimum cold in-water temperature limits value of water cooler in cooling tower leaving water temperature When, blower frequency can be approached according to fixed cooling tower the temperature difference setting value control, when practical cooling tower approach the temperature difference be greater than set When setting value, blower adds frequency, otherwise, subtracts frequency.And blower actual air volume is directly proportional to cooling tower condensation heat exhaust.
In another embodiment, the 4th energy consumption data for calculating water cooler in each control program, It include: to obtain outdoor wet-bulb temperature;Obtain chilled water leaving water temperature, chilled-water flow, cooling water flow and figure of cold load evidence;Root According to the outdoor wet bulb temperature calcuation cooling tower leaving water temperature;The cooling tower leaving water temperature is determined as cooling water water inlet temperature Degree;According to the chilled water leaving water temperature, chilled-water flow, cold in-water temperature, cooling water flow and figure of cold load evidence, lead to Cross the 4th energy consumption data that preset water cooler semi-empirical mathematical model calculates water cooler.
Specifically, which can obtain cooling tower leaving water temperature according to outdoor wet-bulb temperature, then chilled water is gone out water temperature Degree, chilled-water flow, cooling water flow and figure of cold load are obtained according to the preset water cooler semi-empirical mathematical model is input to Obtain the 4th energy consumption data of water cooler.
It should be noted that the preset water cooler semi-empirical mathematical model equally can be by primary data through over-fitting It obtains.
On the other hand, by the preset water cooler semi-empirical mathematical model, other of water cooler can also be obtained Operating parameter, such as the efficiency of water cooler, chilled water inflow temperature, cooling water leaving water temperature.
In another embodiment, the hydraulic pressure drop of the freezing side air-conditioning equipment includes the hydraulic pressure of water cooler evaporator Drop, freezing general pipeline are dropped for return water pressure difference, ancillary equipment hydraulic pressure and the hydraulic pressure drop of freezing pipeline, valve, pipe fitting;It is described according to The hydraulic pressure drop for freezing side air-conditioning equipment, obtains the first practical lift data of chilled water pump, comprising: evaporate the water cooler The total of the hydraulic pressure drop of pipeline, valve, pipe fitting drops for return water pressure difference, ancillary equipment hydraulic pressure and freezes in the hydraulic pressure drop of device, freezing general pipeline Be determined as the described first practical lift data.
Specifically, the hydraulic pressure that the hydraulic pressure drop of the freezing side air-conditioning equipment includes water cooler evaporator drops, freezing is total Pipe is dropped for return water pressure difference, ancillary equipment hydraulic pressure and the hydraulic pressure drop of freezing pipeline, valve, pipe fitting, i.e., the freezing side air-conditioning equipment can It is to include water cooler evaporator, freezing general pipeline, ancillary equipment and freezing pipeline, valve, pipe fitting etc., above-mentioned freezing side is empty The hydraulic pressure drop of equipment is adjusted to add up, it can to obtain the first practical lift data of chilled water pump.
In another embodiment, described that the chilled-water flow is calculated according to preset water pump semi-empirical mathematical model And first the corresponding chilled water pump of practical lift data the first real-time frequency, comprising: obtain predeterminated frequency;According to described default Frequency calculates specific frequency chilled water water flow;The specific frequency is calculated according to preset water pump semi empirical calculation model The corresponding specific frequency lift data of chilled water water flow;It is calculated according to the specific frequency lift data and the predeterminated frequency Obtain the first current lift data;It changes when the difference of the described first current lift data and the first practical lift data is greater than first When for error, return the acquisition predeterminated frequency the step of;When the described first current lift data and the first practical lift data Difference less than the first iteration error when, determine the predeterminated frequency be the first real-time frequency.
In the present embodiment, above-mentioned acquisition predeterminated frequency is to according to the specific frequency lift data and the predeterminated frequency The step of the first current lift data are calculated, be the present embodiment iterative process, when the first current lift data with The difference of first practical lift data be greater than the first iteration error when, return the acquisition predeterminated frequency the step of, restart Iterative process, until the first current lift data and the first practical lift data is poor less than the first iteration error, at this point, Corresponding predeterminated frequency is determined into the first real-time frequency, exports first real-time frequency.
For example, after getting predeterminated frequency, which can be artificial preset water pump operation frequency, should Specific frequency chilled water water flow can be the chilled water water flow under 50Hz, and the chilled water water flow under the 50Hz is current cold Freeze water water flow multiplied by 50Hz, then divided by predeterminated frequency;Chilled water water flow under the 50Hz is input to described preset The lift data under 50Hz are calculated in water pump semi empirical calculation model;According to the lift data under the predeterminated frequency and 50Hz Obtain the first current lift data;Judge the difference and the first iteration of the described first current lift data and the first practical lift data Relationship between error then continues iteration when its difference is greater than the first iteration error, otherwise, exits iterative calculation and incites somebody to action Corresponding predeterminated frequency determines the first real-time frequency, and iteration error must satisfy simulation calculation required precision.
In another embodiment, the hydraulic pressure drop of the cold side air-conditioning equipment includes the hydraulic pressure of water cooler condenser The hydraulic pressure drop of drop, the lift data of cooling tower, ancillary equipment hydraulic pressure drop and cooling line, valve, pipe fitting;It is described according to described cold But the hydraulic pressure drop of side air-conditioning equipment, obtains the second practical lift data of cooling water pump, comprising: by the water cooler condenser Hydraulic pressure drop, the lift data of cooling tower, ancillary equipment hydraulic pressure drop and cooling line, valve, pipe fitting hydraulic pressure drop summation it is true It is set to the described second practical lift data.
On the other hand, the hydraulic pressure drop of the cold side air-conditioning equipment includes the hydraulic pressure drop of water cooler condenser, cooling tower Lift data, ancillary equipment hydraulic pressure drop and cooling line, valve, pipe fitting hydraulic pressure drop, i.e. the cold side air-conditioning equipment can be with Including water cooler condenser, cooling tower, ancillary equipment and cooling line, valve, pipe fitting etc., above-mentioned cold side air-conditioning is set Standby hydraulic pressure drop adds up, it can obtains the second practical lift data of cooling water pump.
In another embodiment, described that the cooling water flow is calculated by preset water pump semi-empirical mathematical model And second the corresponding cooling water pump of practical lift data the second real-time frequency, comprising: obtain predeterminated frequency;According to described default Frequency calculates specific frequency cooling water flow;The specific frequency is calculated according to preset water pump semi empirical calculation model The corresponding specific frequency lift data of cooling water flow;It is calculated according to the specific frequency lift data and the predeterminated frequency Obtain the second current lift data;It changes when the difference of the described second current lift data and the second practical lift data is greater than second When for error, return the acquisition predeterminated frequency the step of;When the described second current lift data and the second practical lift data Difference be less than secondary iteration error when, determine the predeterminated frequency be the second real-time frequency.
In a kind of preferred embodiment of the present embodiment, above-mentioned acquisition predeterminated frequency is to according to the specific frequency lift number According to and the predeterminated frequency the second current lift data are calculated, the iterative process of the present embodiment is similarly, when second When the difference of current lift data and the second practical lift data is greater than secondary iteration error, the acquisition predeterminated frequency is returned Step restarts iterative process, until the difference of the second current lift data and the second practical lift data is less than second Iteration error completes iterative process, at this point, corresponding predeterminated frequency is determined the second real-time frequency, exports described second in real time Frequency.
It should be noted that first iteration error and secondary iteration error be those skilled in the art according to the actual situation And set any numerical value, the present embodiment to this with no restriction.
In another embodiment, described that the actual air volume is calculated by preset cooling tower semi-empirical mathematical model The third energy consumption data of corresponding cooling tower, comprising: obtain blower fan of cooling tower Initial Energy data and initial air quantity;According to institute It states Initial Energy data and initial air quantity is fitted, obtain the cooling tower semi-empirical mathematical model;By the actual air volume It is input to the cooling tower semi-empirical mathematical model, obtains the third energy consumption data of the cooling tower.
In the present embodiment, get first blower fan of cooling tower power curve Initial Energy data and initial air quantity, according to Initial Energy data and initial air quantity are fitted operation, obtain the Initial Energy data of blower fan of cooling tower and the number of initial air quantity Formula is learned to get the cooling tower semi-empirical mathematical model is arrived.
In another embodiment, the water cooler includes evaporator, condenser;It is described to be discharged according to the chilled water Temperature, chilled-water flow, cold in-water temperature, cooling water flow and figure of cold load evidence are passed through by preset water cooler half Test the 4th energy consumption data that mathematical model calculates water cooler, comprising: the evaporator leaving water temperature is determined as chilled water Leaving water temperature;The evaporator water flow is determined as chilled-water flow;The condenser water flow is determined as cooling water flow Amount;By the chilled water leaving water temperature, chilled-water flow, cold in-water temperature, cooling water flow and figure of cold load according to input To the preset water cooler semi-empirical mathematical model, the 4th energy consumption data is obtained.
In the present embodiment, evaporator leaving water temperature is determined as chilled water leaving water temperature, the evaporator water flow is true It is set to chilled-water flow;The condenser water flow is determined as cooling water flow;Above-mentioned data and cooling water are intake again Temperature, figure of cold load obtain the 4th energy consumption data according to the preset water cooler semi-empirical mathematical model is input to.
In another embodiment, the outdoor wet-bulb temperature of the acquisition, comprising: obtain meteorological data;Wherein, the meteorology Data include outdoor dry-bulb temperature and relative humidity;It is converted according to the outdoor dry-bulb temperature and relative humidity, obtains room Outer wet-bulb temperature.
The outdoor wet-bulb temperature can be used for calculating cooling tower leaving water temperature, can be according to the outdoor dry-bulb temperature and phase It converts to humidity, obtains outdoor wet-bulb temperature;Specifically, the emulation application of terminal can preset outdoor dry bulb temperature The mapping table of degree, relative humidity and outdoor wet-bulb temperature, inquire the mapping table can obtain the outdoor dry-bulb temperature with it is relatively wet Spend corresponding outdoor wet-bulb temperature.
In another embodiment, the Energy Saving Control side according in the comprehensive energy efficiency control program more described than determination Case, comprising: be ranked up the control program according to the comprehensive energy efficiency ratio;By comprehensive energy efficiency than highest preset quantity Control program is determined as the Energy Saving Control scheme.
In practical application, after obtaining the comprehensive energy efficiency ratio of multiple control programs, according to comprehensive energy efficiency ratio from high to low by institute It states multiple control programs to be ranked up, comprehensive energy efficiency can be determined as the energy conservation than the control program of highest top n and controlled Scheme processed.
It should be understood that although each step in the flow chart of Fig. 1 is successively shown according to the instruction of arrow, this A little steps are not that the inevitable sequence according to arrow instruction successively executes.Unless expressly state otherwise herein, these steps It executes there is no the limitation of stringent sequence, these steps can execute in other order.Moreover, at least part in Fig. 1 Step may include that perhaps these sub-steps of multiple stages or stage are executed in synchronization to multiple sub-steps It completes, but can execute at different times, the execution sequence in these sub-steps or stage, which is also not necessarily, successively to be carried out, But it can be executed in turn or alternately at least part of the sub-step or stage of other steps or other steps.
In one embodiment, as shown in Fig. 2, providing a kind of energy simulation device of air-conditioning system, comprising: obtain mould Block 301, generation module 302, computing module 303 and determining module 304, in which:
Module 301 is obtained, for obtaining figure of cold load evidence;
Generation module 302 is used for according to the figure of cold load according to generation control program;
Computing module 303, for calculating the comprehensive energy efficiency ratio of the control program;
Determining module 304, for according to the Energy Saving Control scheme in the comprehensive energy efficiency control program more described than determination.
In one embodiment, the generation module includes:
First generates submodule, sets for generating air-conditioning system according to building maximum refrigeration duty of the figure of cold load in Meter scheme;
Second generates submodule, for generating corresponding control program according to the air-conditioning system design scheme.
In one embodiment, the computing module includes:
First obtains submodule, for calculating the refrigerating capacity in each control program;
First computational submodule, for calculating the energy consumption data of refrigeration equipment in each control program;
First determines submodule, for the ratio of the refrigerating capacity and the energy consumption data to be determined each controlling party The comprehensive energy efficiency ratio of case.
In one embodiment, first computational submodule includes:
First computing unit, for calculating the first energy consumption data of chilled water pump in each control program;
Second computing unit, for calculating the second energy consumption data of cooling water pump in each control program;
Third computing unit, for calculating the third energy consumption data of cooling tower in each control program;
4th computing unit, for calculating the 4th energy consumption data of water cooler in each control program;
First determination unit is used for first energy consumption data, the second energy consumption data, third energy consumption data and the 4th energy The summation of consumption data is determined as the energy consumption data of the refrigeration equipment.
In one embodiment, first computing unit includes:
First obtains subelement, for obtaining chilled water supply backwater temperature difference data;
First computation subunit, for chilled-water flow to be calculated according to the chilled water supply backwater temperature difference data;
Computation subunit drops in the first hydraulic pressure, for the water of freezing side air-conditioning equipment to be calculated according to the chilled-water flow Pressure drop;
First practical lift data obtain subelement, for being dropped according to the hydraulic pressure of the freezing side air-conditioning equipment, obtain cold Freeze the first practical lift data of water pump;
First real-time frequency computation subunit, for calculating the freezing according to preset water pump semi-empirical mathematical model First real-time frequency of water flow and the corresponding chilled water pump of the first practical lift data;
First energy consumption data computation subunit, for calculating the freezing according to preset water pump semi-empirical mathematical model Water flow, the first practical lift data, the corresponding chilled water pump of the first real-time frequency the first energy consumption data.
In one embodiment, second computing unit includes:
Second obtains subelement, for obtaining cooling water supply backwater temperature difference data;
Second computation subunit, for cooling water flow to be calculated according to the cooling water supply backwater temperature difference data;
Computation subunit drops in the second hydraulic pressure, for the water of cold side air-conditioning equipment to be calculated according to the cooling water flow Pressure drop;
Second practical lift data obtain subelement, for being dropped according to the hydraulic pressure of the cold side air-conditioning equipment, obtain cold But the second of water pump the practical lift data;
Second real-time frequency computation subunit, for calculating the cooling by preset water pump semi-empirical mathematical model Second real-time frequency of water flow and the corresponding cooling water pump of the second practical lift data;
Second energy consumption data computation subunit, for calculating the cooling according to preset water pump semi-empirical mathematical model Water flow, the second practical lift data, the corresponding cooling water pump of the second real-time frequency the second energy consumption data.
In one embodiment, the third computing unit includes:
Third obtains subelement, for obtaining cooling water flow;
Actual air volume computation subunit, for cooling tower wind to be calculated according to the cooling water flow and optimal geomantic omen ratio The actual air volume of machine;
Third energy consumption data computation subunit, for calculating the reality by preset cooling tower semi-empirical mathematical model The third energy consumption data of the corresponding cooling tower of border air quantity.
In one embodiment, the 4th computing unit includes:
4th obtains subelement, for obtaining outdoor wet-bulb temperature;
5th obtains subelement, for obtaining chilled water leaving water temperature, chilled-water flow, cooling water flow and figure of cold load According to;
Leaving water temperature computation subunit, for according to the outdoor wet bulb temperature calcuation cooling tower leaving water temperature;
Subelement is determined, for the cooling tower leaving water temperature to be determined as cold in-water temperature;
4th energy consumption data computation subunit, for according to the chilled water leaving water temperature, chilled-water flow, cooling water into Coolant-temperature gage, cooling water flow and figure of cold load evidence calculate water cooler by preset water cooler semi-empirical mathematical model The 4th energy consumption data.
In one embodiment, it is described freezing side air-conditioning equipment hydraulic pressure drop include water cooler evaporator hydraulic pressure drop, Freeze the hydraulic pressure drop that pipeline, valve, pipe fitting drop for return water pressure difference, ancillary equipment hydraulic pressure and freeze in general pipeline;Described first actually raises Number of passes evidence obtains subelement and includes:
First determines component, for the hydraulic pressure of the water cooler evaporator to be dropped to, freezed general pipeline for return water pressure difference, auxiliary The summation of equipment hydraulic pressure drop and the hydraulic pressure drop of freezing pipeline, valve, pipe fitting is determined as the described first practical lift data.
In one embodiment, the first real-time frequency computation subunit includes:
First predeterminated frequency securing component, for obtaining predeterminated frequency;
First computation module, for calculating specific frequency chilled water water flow according to the predeterminated frequency;
Second computation module, for calculating the specific frequency chilled water according to preset water pump semi empirical calculation model The corresponding specific frequency lift data of water flow;
First current lift data computation module, based on according to the specific frequency lift data and the predeterminated frequency Calculation obtains the first current lift data;
First return assembly, for the difference when the described first current lift data and the first practical lift data greater than the When one iteration error, return the acquisition predeterminated frequency the step of;
First frequency determines component, is less than for the difference when the described first current lift data and the first practical lift data When the first iteration error, determine that the predeterminated frequency is the first real-time frequency.
In one embodiment, the cold side air-conditioning equipment hydraulic pressure drop include water cooler condenser hydraulic pressure drop, The lift data of cooling tower, ancillary equipment hydraulic pressure drops and the hydraulic pressure drop of cooling line, valve, pipe fitting;The second practical lift Data obtain subelement
Second determines component, for setting hydraulic pressure drop, the lift data of cooling tower, the auxiliary of the water cooler condenser The summation of standby hydraulic pressure drop and the hydraulic pressure drop of cooling line, valve, pipe fitting is determined as the described second practical lift data.
In one embodiment, the second real-time frequency computation subunit includes:
Second predeterminated frequency securing component, for obtaining predeterminated frequency;
Third computation module, for calculating specific frequency cooling water flow according to the predeterminated frequency;
4th computation module, for calculating the specific frequency cooling water according to preset water pump semi empirical calculation model The corresponding specific frequency lift data of water flow;
Second current lift data computation module, based on according to the specific frequency lift data and the predeterminated frequency Calculation obtains the second current lift data;
Second return assembly, for the difference when the described second current lift data and the second practical lift data greater than the When two iteration errors, return the acquisition predeterminated frequency the step of;
Second frequency determines component, small for the difference when the described second current lift data and the second practical lift data When secondary iteration error, determine that the predeterminated frequency is the second real-time frequency.
In one embodiment, the third energy consumption data computation subunit includes:
Third securing component, for obtain blower fan of cooling tower Initial Energy data and initial air quantity;
First model obtains component, for being fitted according to the Initial Energy data and initial air quantity, described in acquisition Cooling tower semi-empirical mathematical model;
Third energy consumption data obtains component, for the actual air volume to be input to the cooling tower semiempirical mathematical modulo Type obtains the third energy consumption data of the cooling tower.
In one embodiment, the water cooler includes evaporator, condenser;It is single that 4th energy consumption data calculates son Member includes:
Third determines component, for the evaporator leaving water temperature to be determined as chilled water leaving water temperature;
4th determines component, for the evaporator water flow to be determined as chilled-water flow;
5th determines component, for the condenser water flow to be determined as cooling water flow;
4th energy consumption data obtains component, warm for the chilled water leaving water temperature, chilled-water flow, cooling water to be intake Degree, cooling water flow and figure of cold load obtain the described 4th according to the preset water cooler semi-empirical mathematical model is input to Energy consumption data.
In one embodiment, the 4th acquisition subelement includes:
Meteorological data securing component, for obtaining meteorological data;Wherein, the meteorological data include outdoor dry-bulb temperature and Relative humidity;
Convert component, for converting according to the outdoor dry-bulb temperature and relative humidity, obtains outdoor wet-bulb temperature.
In one embodiment, the determining module includes:
Sorting sub-module, for being ranked up the control program according to the comprehensive energy efficiency ratio;
Scheme determines submodule, for comprehensive energy efficiency to be determined as the energy conservation than the control program of highest preset quantity Control program.
The specific of energy simulation device about air-conditioning system limits the energy consumption that may refer to above for air-conditioning system The restriction of emulation mode, details are not described herein.Modules in the energy simulation device of above-mentioned air-conditioning system can whole or portion Divide and is realized by software, hardware and combinations thereof.Above-mentioned each module can be embedded in the form of hardware or independently of computer equipment In processor in, can also be stored in a software form in the memory in computer equipment, in order to processor calling hold The corresponding operation of the above modules of row.
The energy simulation device of the air-conditioning system of above-mentioned offer can be used for executing the air-conditioning system that above-mentioned any embodiment provides The energy simulation method of system, has corresponding function and beneficial effect.
In one embodiment, a kind of computer equipment is provided, which can be terminal, internal structure Figure can be as shown in Figure 3.The computer equipment includes processor, the memory, network interface, display connected by system bus Screen and input unit.Wherein, the processor of the computer equipment is for providing calculating and control ability.The computer equipment is deposited Reservoir includes non-volatile memory medium, built-in storage.The non-volatile memory medium is stored with operating system and computer journey Sequence.The built-in storage provides environment for the operation of operating system and computer program in non-volatile memory medium.The calculating The network interface of machine equipment is used to communicate with external terminal by network connection.When the computer program is executed by processor with Realize a kind of energy simulation method of air-conditioning system.The display screen of the computer equipment can be liquid crystal display or electronic ink Water display screen, the input unit of the computer equipment can be the touch layer covered on display screen, be also possible to computer equipment Key, trace ball or the Trackpad being arranged on shell can also be external keyboard, Trackpad or mouse etc..
It will be understood by those skilled in the art that structure shown in Fig. 3, only part relevant to application scheme is tied The block diagram of structure does not constitute the restriction for the computer equipment being applied thereon to application scheme, specific computer equipment It may include perhaps combining certain components or with different component layouts than more or fewer components as shown in the figure.
In one embodiment, a kind of computer equipment, including memory and processor are provided, is stored in memory Computer program, which performs the steps of when executing computer program obtains figure of cold load evidence;According to the refrigeration duty Data generate control program;Calculate the comprehensive energy efficiency ratio of the control program;According to the comprehensive energy efficiency than determining the control Energy Saving Control scheme in scheme processed.In one embodiment, root is also performed the steps of when processor executes computer program Air-conditioning system design scheme is generated according to building maximum refrigeration duty of the figure of cold load in;According to the design of air conditioning side Case generates corresponding control program.
In one embodiment, it is also performed the steps of when processor executes computer program and calculates each control Refrigerating capacity in scheme processed;Calculate the energy consumption data of refrigeration equipment in each control program;By the refrigerating capacity and institute The ratio for stating energy consumption data determines the comprehensive energy efficiency ratio of each control program.
In one embodiment, it is also performed the steps of when processor executes computer program and calculates each control First energy consumption data of chilled water pump in scheme processed;Calculate the second energy consumption number of cooling water pump in each control program According to;Calculate the third energy consumption data of cooling tower in each control program;Calculate cold water in each control program 4th energy consumption data of unit;By first energy consumption data, the second energy consumption data, third energy consumption data and the 4th energy consumption data Summation be determined as the energy consumption data of the refrigeration equipment.
In one embodiment, it is also performed the steps of when processor executes computer program and obtains chilled water for return water Temperature difference data;Chilled-water flow is calculated according to the chilled water supply backwater temperature difference data;According to the chilled water flow meter It calculates and obtains the hydraulic pressure drop of freezing side air-conditioning equipment;According to the hydraulic pressure drop of the freezing side air-conditioning equipment, the of chilled water pump is obtained One practical lift data;The chilled-water flow and the first practical lift are calculated according to preset water pump semi-empirical mathematical model First real-time frequency of the corresponding chilled water pump of data;The chilled water is calculated according to preset water pump semi-empirical mathematical model Flow, the first practical lift data, the corresponding chilled water pump of the first real-time frequency the first energy consumption data.
In one embodiment, it is also performed the steps of when processor executes computer program and obtains cooling water for return water Temperature difference data;Cooling water flow is calculated according to the cooling water supply backwater temperature difference data;According to the cooling water flow meter It calculates and obtains the hydraulic pressure drop of cold side air-conditioning equipment;It is dropped according to the hydraulic pressure of the cold side air-conditioning equipment, obtains the of cooling water pump Two practical lift data;The cooling water flow and the second practical lift are calculated by preset water pump semi-empirical mathematical model Second real-time frequency of the corresponding cooling water pump of data;The cooling water is calculated according to preset water pump semi-empirical mathematical model Flow, the second practical lift data, the corresponding cooling water pump of the second real-time frequency the second energy consumption data.
In one embodiment, acquisition cooling water flow is also performed the steps of when processor executes computer program;Root Actual air volume according to the cooling water flow and optimal geomantic omen than blower fan of cooling tower is calculated;It is passed through by preset cooling tower half Test the third energy consumption data that mathematical model calculates the corresponding cooling tower of the actual air volume.
In one embodiment, acquisition outdoor wet-bulb temperature is also performed the steps of when processor executes computer program; Obtain chilled water leaving water temperature, chilled-water flow, cooling water flow and figure of cold load evidence;According to the outdoor wet bulb temperature calcuation Cooling tower leaving water temperature;The cooling tower leaving water temperature is determined as cold in-water temperature;Go out water temperature according to the chilled water Degree, chilled-water flow, cold in-water temperature, cooling water flow and figure of cold load evidence pass through preset water cooler semiempirical Mathematical model calculates the 4th energy consumption data of water cooler.
In one embodiment, it is described freezing side air-conditioning equipment hydraulic pressure drop include water cooler evaporator hydraulic pressure drop, Freeze the hydraulic pressure drop that pipeline, valve, pipe fitting drop for return water pressure difference, ancillary equipment hydraulic pressure and freeze in general pipeline;Processor executes calculating It is also performed the steps of when machine program
By the hydraulic pressure drop of the water cooler evaporator, freezing general pipeline is dropped for return water pressure difference, ancillary equipment hydraulic pressure and freezing The summation of the hydraulic pressure drop of pipeline, valve, pipe fitting is determined as the described first practical lift data.
In one embodiment, acquisition predeterminated frequency is also performed the steps of when processor executes computer program;According to The predeterminated frequency calculates specific frequency chilled water water flow;It is calculated according to preset water pump semi empirical calculation model described The corresponding specific frequency lift data of specific frequency chilled water water flow;According to specific frequency lift data and described default The first current lift data are calculated in frequency;When the difference of the described first current lift data and the first practical lift data is big When the first iteration error, return the acquisition predeterminated frequency the step of;When the described first current lift data are practical with first When the difference of lift data is less than the first iteration error, determine that the predeterminated frequency is the first real-time frequency.
In one embodiment, the cold side air-conditioning equipment hydraulic pressure drop include water cooler condenser hydraulic pressure drop, The lift data of cooling tower, ancillary equipment hydraulic pressure drops and the hydraulic pressure drop of cooling line, valve, pipe fitting;Processor executes computer It is also performed the steps of when program by hydraulic pressure drop, the lift data of cooling tower, ancillary equipment water of the water cooler condenser The summation of the hydraulic pressure drop of pressure drop and cooling line, valve, pipe fitting is determined as the described second practical lift data.
In one embodiment, acquisition predeterminated frequency is also performed the steps of when processor executes computer program;According to The predeterminated frequency calculates specific frequency cooling water flow;It is calculated according to preset water pump semi empirical calculation model described The corresponding specific frequency lift data of specific frequency cooling water flow;According to specific frequency lift data and described default The second current lift data are calculated in frequency;When the difference of the described second current lift data and the second practical lift data is big When secondary iteration error, return the acquisition predeterminated frequency the step of;When the described second current lift data are practical with second When the difference of lift data is less than secondary iteration error, determine that the predeterminated frequency is the second real-time frequency.
In one embodiment, it is also performed the steps of when processor executes computer program and obtains blower fan of cooling tower Initial Energy data and initial air quantity;It is fitted according to the Initial Energy data and initial air quantity, obtains the cooling tower Semi-empirical mathematical model;The actual air volume is input to the cooling tower semi-empirical mathematical model, obtains the cooling tower Third energy consumption data.
In one embodiment, the water cooler includes evaporator, condenser;Processor is gone back when executing computer program Realize that the evaporator leaving water temperature is determined as chilled water leaving water temperature by following steps;The evaporator water flow is determined as Chilled-water flow;The condenser water flow is determined as cooling water flow;By the chilled water leaving water temperature, chilled water flow Amount, cold in-water temperature, cooling water flow and figure of cold load evidence are input to the preset water cooler semiempirical mathematical modulo Type obtains the 4th energy consumption data.
In one embodiment, acquisition meteorological data is also performed the steps of when processor executes computer program;Its In, the meteorological data includes outdoor dry-bulb temperature and relative humidity;It is carried out according to the outdoor dry-bulb temperature and relative humidity Conversion obtains outdoor wet-bulb temperature.
In one embodiment, it also performs the steps of when processor executes computer program according to the comprehensive energy efficiency Than the control program is ranked up;Comprehensive energy efficiency is determined as the energy conservation control than the control program of highest preset quantity Scheme processed.
In one embodiment, a kind of computer readable storage medium is provided, computer program is stored thereon with, is calculated Machine program performs the steps of when being executed by processor obtains figure of cold load evidence;According to the figure of cold load according to generation controlling party Case;Calculate the comprehensive energy efficiency ratio of the control program;According to the energy conservation in the comprehensive energy efficiency control program more described than determination Control program.
In one embodiment, it also performs the steps of when computer program is executed by processor according to the refrigeration duty Building maximum refrigeration duty in data generates air-conditioning system design scheme;It is generated according to the air-conditioning system design scheme corresponding Control program.
In one embodiment, also performed the steps of when computer program is executed by processor calculate it is each described Refrigerating capacity in control program;Calculate the energy consumption data of refrigeration equipment in each control program;By the refrigerating capacity with The ratio of the energy consumption data determines the comprehensive energy efficiency ratio of each control program.
In one embodiment, also performed the steps of when computer program is executed by processor calculate it is each described First energy consumption data of chilled water pump in control program;Calculate the second energy consumption number of cooling water pump in each control program According to;Calculate the third energy consumption data of cooling tower in each control program;Calculate cold water in each control program 4th energy consumption data of unit;By first energy consumption data, the second energy consumption data, third energy consumption data and the 4th energy consumption data Summation be determined as the energy consumption data of the refrigeration equipment.
In one embodiment, acquisition chilled water is also performed the steps of when computer program is executed by processor to supply back Water temperature difference data;Chilled-water flow is calculated according to the chilled water supply backwater temperature difference data;According to the chilled-water flow The hydraulic pressure drop of freezing side air-conditioning equipment is calculated;According to the hydraulic pressure drop of the freezing side air-conditioning equipment, chilled water pump is obtained First practical lift data;The chilled-water flow is calculated according to preset water pump semi-empirical mathematical model and first is actually raised Number of passes according to corresponding chilled water pump the first real-time frequency;The freezing is calculated according to preset water pump semi-empirical mathematical model Water flow, the first practical lift data, the corresponding chilled water pump of the first real-time frequency the first energy consumption data.
In one embodiment, acquisition cooling water is also performed the steps of when computer program is executed by processor to supply back Water temperature difference data;Cooling water flow is calculated according to the cooling water supply backwater temperature difference data;According to the cooling water flow The hydraulic pressure drop of cold side air-conditioning equipment is calculated;It is dropped according to the hydraulic pressure of the cold side air-conditioning equipment, obtains cooling water pump Second practical lift data;The cooling water flow is calculated by preset water pump semi-empirical mathematical model and second is actually raised Number of passes according to corresponding cooling water pump the second real-time frequency;The cooling is calculated according to preset water pump semi-empirical mathematical model Water flow, the second practical lift data, the corresponding cooling water pump of the second real-time frequency the second energy consumption data.
In one embodiment, acquisition cooling water flow is also performed the steps of when computer program is executed by processor; Actual air volume according to the cooling water flow and optimal geomantic omen than blower fan of cooling tower is calculated;Pass through preset cooling tower half Empirical mathematical model calculates the third energy consumption data of the corresponding cooling tower of the actual air volume.
In one embodiment, acquisition outdoor wet bulb temperature is also performed the steps of when computer program is executed by processor Degree;Obtain chilled water leaving water temperature, chilled-water flow, cooling water flow and figure of cold load evidence;According to the outdoor wet-bulb temperature Calculate cooling tower leaving water temperature;The cooling tower leaving water temperature is determined as cold in-water temperature;Gone out according to the chilled water Coolant-temperature gage, chilled-water flow, cold in-water temperature, cooling water flow and figure of cold load evidence pass through preset water cooler half Empirical mathematical model calculates the 4th energy consumption data of water cooler.
In one embodiment, it is described freezing side air-conditioning equipment hydraulic pressure drop include water cooler evaporator hydraulic pressure drop, Freeze the hydraulic pressure drop that pipeline, valve, pipe fitting drop for return water pressure difference, ancillary equipment hydraulic pressure and freeze in general pipeline;Computer program is located Reason device also performs the steps of when executing
By the hydraulic pressure drop of the water cooler evaporator, freezing general pipeline is dropped for return water pressure difference, ancillary equipment hydraulic pressure and freezing The summation of the hydraulic pressure drop of pipeline, valve, pipe fitting is determined as the described first practical lift data.
In one embodiment, it is also performed the steps of when computer program is executed by processor
Obtain predeterminated frequency;Specific frequency chilled water water flow is calculated according to the predeterminated frequency;
It is corresponding specific that the specific frequency chilled water water flow is calculated according to preset water pump semi empirical calculation model Frequency lift data;
The first current lift data are calculated according to the specific frequency lift data and the predeterminated frequency;
When the difference of the described first current lift data and the first practical lift data is greater than the first iteration error, return The step of acquisition predeterminated frequency;
When the difference of the described first current lift data and the first practical lift data is less than the first iteration error, institute is determined Stating predeterminated frequency is the first real-time frequency.
In one embodiment, the cold side air-conditioning equipment hydraulic pressure drop include water cooler condenser hydraulic pressure drop, The lift data of cooling tower, ancillary equipment hydraulic pressure drops and the hydraulic pressure drop of cooling line, valve, pipe fitting;Computer program is processed Device also performs the steps of when executing
By the hydraulic pressure drop of the water cooler condenser, the lift data of cooling tower, ancillary equipment hydraulic pressure drop and cooling tube Road, valve, the summation that the hydraulic pressure of pipe fitting drops are determined as the described second practical lift data.
In one embodiment, it is also performed the steps of when computer program is executed by processor
Obtain predeterminated frequency;
Specific frequency cooling water flow is calculated according to the predeterminated frequency;
It is corresponding specific that the specific frequency cooling water flow is calculated according to preset water pump semi empirical calculation model Frequency lift data;
The second current lift data are calculated according to the specific frequency lift data and the predeterminated frequency;
When the difference of the described second current lift data and the second practical lift data is greater than secondary iteration error, return The step of acquisition predeterminated frequency;
When the difference of the described second current lift data and the second practical lift data is less than secondary iteration error, determine The predeterminated frequency is the second real-time frequency.
In one embodiment, it is also performed the steps of when computer program is executed by processor
The Initial Energy data of acquisition blower fan of cooling tower and initial air quantity;
It is fitted according to the Initial Energy data and initial air quantity, obtains the cooling tower semi-empirical mathematical model;
The actual air volume is input to the cooling tower semi-empirical mathematical model, obtains the third energy consumption of the cooling tower Data.
In one embodiment, the water cooler includes evaporator, condenser;When computer program is executed by processor Also perform the steps of
The evaporator leaving water temperature is determined as chilled water leaving water temperature;
The evaporator water flow is determined as chilled-water flow;
The condenser water flow is determined as cooling water flow;
By the chilled water leaving water temperature, chilled-water flow, cold in-water temperature, cooling water flow and figure of cold load evidence It is input to the preset water cooler semi-empirical mathematical model, obtains the 4th energy consumption data.
In one embodiment, it is also performed the steps of when computer program is executed by processor
Obtain meteorological data;Wherein, the meteorological data includes outdoor dry-bulb temperature and relative humidity;
It is converted according to the outdoor dry-bulb temperature and relative humidity, obtains outdoor wet-bulb temperature.
In one embodiment, it is also performed the steps of when computer program is executed by processor
The control program is ranked up according to the comprehensive energy efficiency ratio;
Comprehensive energy efficiency is determined as the Energy Saving Control scheme than the control program of highest preset quantity.
Those of ordinary skill in the art will appreciate that realizing all or part of the process in above-described embodiment method, being can be with Relevant hardware is instructed to complete by computer program, the computer program can be stored in a non-volatile computer In read/write memory medium, the computer program is when being executed, it may include such as the process of the embodiment of above-mentioned each method.Wherein, To any reference of memory, storage, database or other media used in each embodiment provided herein, Including non-volatile and/or volatile memory.Nonvolatile memory may include read-only memory (ROM), programming ROM (PROM), electrically programmable ROM (EPROM), electrically erasable ROM (EEPROM) or flash memory.Volatile memory may include Random access memory (RAM) or external cache.By way of illustration and not limitation, RAM is available in many forms, Such as static state RAM (SRAM), dynamic ram (DRAM), synchronous dram (SDRAM), double data rate sdram (DDRSDRAM), enhancing Type SDRAM (ESDRAM), synchronization link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic ram (DRDRAM) and memory bus dynamic ram (RDRAM) etc..
Each technical characteristic of above embodiments can be combined arbitrarily, for simplicity of description, not to above-described embodiment In each technical characteristic it is all possible combination be all described, as long as however, the combination of these technical characteristics be not present lance Shield all should be considered as described in this specification.
The several embodiments of the application above described embodiment only expresses, the description thereof is more specific and detailed, but simultaneously It cannot therefore be construed as limiting the scope of the patent.It should be pointed out that coming for those of ordinary skill in the art It says, without departing from the concept of this application, various modifications and improvements can be made, these belong to the protection of the application Range.Therefore, the scope of protection shall be subject to the appended claims for the application patent.

Claims (19)

1. a kind of energy simulation method of air-conditioning system characterized by comprising
Obtain figure of cold load evidence;
According to the figure of cold load according to generation control program;
Calculate the comprehensive energy efficiency ratio of the control program;
According to the Energy Saving Control scheme in the comprehensive energy efficiency control program more described than determination.
2. the method according to claim 1, wherein it is described according to the figure of cold load according to generate control program, Include:
Air-conditioning system design scheme is generated according to building maximum refrigeration duty of the figure of cold load in;
Corresponding control program is generated according to the air-conditioning system design scheme.
3. the method according to claim 1, wherein the comprehensive energy efficiency ratio for calculating the control program, Include:
Calculate the refrigerating capacity in each control program;
Calculate the energy consumption data of refrigeration equipment in each control program;
The ratio of the refrigerating capacity and the energy consumption data is determined to the comprehensive energy efficiency ratio of each control program.
4. according to the method described in claim 3, it is characterized in that, described calculate refrigeration equipment in each control program Energy consumption data, comprising:
Calculate the first energy consumption data of chilled water pump in each control program;
Calculate the second energy consumption data of cooling water pump in each control program;
Calculate the third energy consumption data of cooling tower in each control program;
Calculate the 4th energy consumption data of water cooler in each control program;
The summation of first energy consumption data, the second energy consumption data, third energy consumption data and the 4th energy consumption data is determined as institute State the energy consumption data of refrigeration equipment.
5. according to the method described in claim 4, it is characterized in that, described calculate chilled water pump in each control program The first energy consumption data, comprising:
Obtain chilled water supply backwater temperature difference data;
Chilled-water flow is calculated according to the chilled water supply backwater temperature difference data;
The hydraulic pressure drop of freezing side air-conditioning equipment is calculated according to the chilled-water flow;
According to the hydraulic pressure drop of the freezing side air-conditioning equipment, the first practical lift data of chilled water pump are obtained;
The chilled-water flow is calculated according to preset water pump semi-empirical mathematical model and the first practical lift data are corresponding First real-time frequency of chilled water pump;
The chilled-water flow, the first practical lift data, first are calculated in fact according to preset water pump semi-empirical mathematical model When the corresponding chilled water pump of frequency the first energy consumption data.
6. according to the method described in claim 4, it is characterized in that, described calculate cooling water pump in each control program The second energy consumption data, comprising:
Obtain cooling water supply backwater temperature difference data;
Cooling water flow is calculated according to the cooling water supply backwater temperature difference data;
The hydraulic pressure drop of cold side air-conditioning equipment is calculated according to the cooling water flow;
It is dropped according to the hydraulic pressure of the cold side air-conditioning equipment, obtains the second practical lift data of cooling water pump;
The cooling water flow is calculated by preset water pump semi-empirical mathematical model and the second practical lift data are corresponding Second real-time frequency of cooling water pump;
The cooling water flow, the second practical lift data, second are calculated in fact according to preset water pump semi-empirical mathematical model When the corresponding cooling water pump of frequency the second energy consumption data.
7. according to the method described in claim 4, it is characterized in that, described calculate cooling tower in each control program Third energy consumption data, comprising:
Obtain cooling water flow;
Actual air volume according to the cooling water flow and optimal geomantic omen than blower fan of cooling tower is calculated;
The third energy consumption number of the corresponding cooling tower of the actual air volume is calculated by preset cooling tower semi-empirical mathematical model According to.
8. according to the method described in claim 4, it is characterized in that, described calculate water cooler in each control program The 4th energy consumption data, comprising:
Obtain outdoor wet-bulb temperature;
Obtain chilled water leaving water temperature, chilled-water flow, cooling water flow and figure of cold load evidence;
According to the outdoor wet bulb temperature calcuation cooling tower leaving water temperature;
The cooling tower leaving water temperature is determined as cold in-water temperature;
According to the chilled water leaving water temperature, chilled-water flow, cold in-water temperature, cooling water flow and figure of cold load evidence, The 4th energy consumption data of water cooler is calculated by preset water cooler semi-empirical mathematical model.
9. according to the method described in claim 5, it is characterized in that, the hydraulic pressure drop of the freezing side air-conditioning equipment includes cooling-water machine The hydraulic pressure of pipeline, valve, pipe fitting drops for return water pressure difference, ancillary equipment hydraulic pressure and freezes in the hydraulic pressure drop of group evaporator, freezing general pipeline Drop;The hydraulic pressure according to the freezing side air-conditioning equipment drops, and obtains the first practical lift data of chilled water pump, comprising:
By the hydraulic pressure of water cooler evaporator drop, freezing general pipeline dropped for return water pressure difference, ancillary equipment hydraulic pressure and freezing pipeline, The summation of the hydraulic pressure drop of valve, pipe fitting is determined as the described first practical lift data.
10. according to the method described in claim 5, it is characterized in that, described according to preset water pump semi-empirical mathematical model meter Calculate the first real-time frequency of the chilled-water flow and the corresponding chilled water pump of the first practical lift data, comprising:
Obtain predeterminated frequency;
Specific frequency chilled water water flow is calculated according to the predeterminated frequency;
The corresponding specific frequency of the specific frequency chilled water water flow is calculated according to preset water pump semi empirical calculation model Lift data;
The first current lift data are calculated according to the specific frequency lift data and the predeterminated frequency;
When the difference of the described first current lift data and the first practical lift data is greater than the first iteration error, described in return The step of obtaining predeterminated frequency;
When the difference of the described first current lift data and the first practical lift data is less than the first iteration error, determine described pre- If frequency is the first real-time frequency.
11. according to the method described in claim 6, it is characterized in that, the hydraulic pressure drop of the cold side air-conditioning equipment includes cold water The hydraulic pressure drop of train condenser, the lift data of cooling tower, ancillary equipment hydraulic pressure drop and cooling line, valve, pipe fitting hydraulic pressure Drop;It is described to be dropped according to the hydraulic pressure of the cold side air-conditioning equipment, obtain the second practical lift data of cooling water pump, comprising:
By the hydraulic pressure drop of the water cooler condenser, the lift data of cooling tower, ancillary equipment hydraulic pressure drop and cooling line, valve The summation of the hydraulic pressure drop of door, pipe fitting is determined as the described second practical lift data.
12. according to the method described in claim 6, it is characterized in that, described pass through preset water pump semi-empirical mathematical model meter Calculate the second real-time frequency of the cooling water flow and the corresponding cooling water pump of the second practical lift data, comprising:
Obtain predeterminated frequency;
Specific frequency cooling water flow is calculated according to the predeterminated frequency;
The corresponding specific frequency of the specific frequency cooling water flow is calculated according to preset water pump semi empirical calculation model Lift data;
The second current lift data are calculated according to the specific frequency lift data and the predeterminated frequency;
When the difference of the described second current lift data and the second practical lift data is greater than secondary iteration error, described in return The step of obtaining predeterminated frequency;
When the difference of the described second current lift data and the second practical lift data is less than secondary iteration error, described in determination Predeterminated frequency is the second real-time frequency.
13. the method according to the description of claim 7 is characterized in that described pass through preset cooling tower semi-empirical mathematical model Calculate the third energy consumption data of the corresponding cooling tower of the actual air volume, comprising:
The Initial Energy data of acquisition blower fan of cooling tower and initial air quantity;
It is fitted according to the Initial Energy data and initial air quantity, obtains the cooling tower semi-empirical mathematical model;
The actual air volume is input to the cooling tower semi-empirical mathematical model, obtains the third energy consumption number of the cooling tower According to.
14. according to the method described in claim 8, it is characterized in that, the water cooler includes evaporator, condenser;It is described According to the chilled water leaving water temperature, chilled-water flow, cold in-water temperature, cooling water flow and figure of cold load evidence, pass through Preset water cooler semi-empirical mathematical model calculates the 4th energy consumption data of water cooler, comprising:
The evaporator leaving water temperature is determined as chilled water leaving water temperature;
The evaporator water flow is determined as chilled-water flow;
The condenser water flow is determined as cooling water flow;
By the chilled water leaving water temperature, chilled-water flow, cold in-water temperature, cooling water flow and figure of cold load according to input To the preset water cooler semi-empirical mathematical model, the 4th energy consumption data is obtained.
15. according to the method described in claim 8, it is characterized in that, acquisition outdoor wet-bulb temperature, comprising:
Obtain meteorological data;Wherein, the meteorological data includes outdoor dry-bulb temperature and relative humidity;
It is converted according to the outdoor dry-bulb temperature and relative humidity, obtains outdoor wet-bulb temperature.
16. the method according to claim 1, wherein described according to the comprehensive energy efficiency control more described than determination Energy Saving Control scheme in scheme, comprising:
The control program is ranked up according to the comprehensive energy efficiency ratio;
Comprehensive energy efficiency is determined as the Energy Saving Control scheme than the control program of highest preset quantity.
17. a kind of energy simulation device of air-conditioning system characterized by comprising
Module is obtained, for obtaining figure of cold load evidence;
Generation module is used for according to the figure of cold load according to generation control program;
Computing module, for calculating the comprehensive energy efficiency ratio of the control program;
Determining module, for according to the Energy Saving Control scheme in the comprehensive energy efficiency control program more described than determination.
18. a kind of computer equipment, including memory and processor, the memory are stored with computer program, feature exists In the processor realizes the energy of air-conditioning system described in any one of claims 1 to 16 when executing the computer program The step of consuming emulation mode.
19. a kind of computer readable storage medium, is stored thereon with computer program, which is characterized in that the computer program The step of energy simulation method of air-conditioning system described in any one of claims 1 to 16 is realized when being executed by processor.
CN201811579427.6A 2018-12-24 2018-12-24 Energy consumption simulation method and device of air conditioning system Active CN109595747B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201811579427.6A CN109595747B (en) 2018-12-24 2018-12-24 Energy consumption simulation method and device of air conditioning system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201811579427.6A CN109595747B (en) 2018-12-24 2018-12-24 Energy consumption simulation method and device of air conditioning system

Publications (2)

Publication Number Publication Date
CN109595747A true CN109595747A (en) 2019-04-09
CN109595747B CN109595747B (en) 2020-01-07

Family

ID=65964224

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201811579427.6A Active CN109595747B (en) 2018-12-24 2018-12-24 Energy consumption simulation method and device of air conditioning system

Country Status (1)

Country Link
CN (1) CN109595747B (en)

Cited By (22)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110108002A (en) * 2019-05-31 2019-08-09 珠海格力电器股份有限公司 Improve the outdoor unit progress control method and device of operational energy efficiency and stability
CN110175778A (en) * 2019-05-27 2019-08-27 珠海格力电器股份有限公司 Unit efficiency planning system
CN110410942A (en) * 2019-07-30 2019-11-05 上海朗绿建筑科技股份有限公司 A kind of Cooling and Heat Source machine room energy-saving optimal control method and system
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
CN111076345A (en) * 2019-12-11 2020-04-28 珠海格力电器股份有限公司 Prediction device and method of central air-conditioning system and terminal 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
CN111125931A (en) * 2019-12-31 2020-05-08 珠海格力电器股份有限公司 Automatic optimization type searching method and device for cooling tower
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
WO2020125184A1 (en) * 2018-12-21 2020-06-25 珠海格力电器股份有限公司 Control strategy optimization method and apparatus for air conditioning system, and computer device
CN111473482A (en) * 2020-04-08 2020-07-31 贵州汇通华城股份有限公司 Cooling circulation control device and method for water-cooled central air conditioner
CN112432326A (en) * 2020-11-19 2021-03-02 珠海格力电器股份有限公司 Control method and device of refrigeration secondary pump, air conditioning system, medium and processor
CN112461036A (en) * 2020-11-09 2021-03-09 新奥数能科技有限公司 Cooling tower fan control method and device, terminal equipment and storage medium
CN112665132A (en) * 2020-12-24 2021-04-16 珠海格力电器股份有限公司 Air conditioning system, energy-saving control method and device for cooling side of air conditioning system and controller
CN112781183A (en) * 2019-11-07 2021-05-11 厦门邑通软件科技有限公司 Intelligent consumption reduction method and system for air conditioning system and air conditioner
CN112944559A (en) * 2021-02-04 2021-06-11 青岛海尔空调电子有限公司 Control method of air conditioning system
WO2021190095A1 (en) * 2020-03-27 2021-09-30 青岛海尔空调电子有限公司 Air conditioner type selection method, system and device
CN113551375A (en) * 2021-07-23 2021-10-26 贵州汇通华城股份有限公司 Cold load prediction method and system for electronic factory
CN113742833A (en) * 2021-09-17 2021-12-03 上海美控智慧建筑有限公司 Air conditioner room setting method and device and electronic equipment
CN113837831A (en) * 2021-09-17 2021-12-24 上海美控智慧建筑有限公司 Type selection method and device for air conditioner room and electronic equipment
CN114440403A (en) * 2022-01-17 2022-05-06 深圳市紫衡技术有限公司 Control method, system, equipment and medium of air conditioning system
CN114543303A (en) * 2022-01-26 2022-05-27 深圳达实智能股份有限公司 Operation optimization method and system of central air-conditioning refrigeration station based on operation big data
CN116105392A (en) * 2023-04-12 2023-05-12 广东美的暖通设备有限公司 Control method and device for centrifugal water chilling unit

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH02275257A (en) * 1989-04-17 1990-11-09 Mitsubishi Monsanto Chem Co Manufacture of liquid cooling medium
CN103593530A (en) * 2013-11-15 2014-02-19 中国建筑东北设计研究院有限公司 Comprehensive method for conducting energy efficiency building design in digital simulation mode
CN106951630A (en) * 2017-03-17 2017-07-14 深圳市云科设计咨询服务有限公司 A kind of refrigeration host computer device selection method being applied in air-conditioning system
CN206724424U (en) * 2017-04-25 2017-12-08 爱恒能源科技(上海)有限公司 Computer room operation energy consumption real-time monitoring and regulating system
CN108241908A (en) * 2018-01-17 2018-07-03 深圳市云科设计咨询服务有限公司 A kind of new method of multi-online air-conditioning system outdoor unit type selecting

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH02275257A (en) * 1989-04-17 1990-11-09 Mitsubishi Monsanto Chem Co Manufacture of liquid cooling medium
CN103593530A (en) * 2013-11-15 2014-02-19 中国建筑东北设计研究院有限公司 Comprehensive method for conducting energy efficiency building design in digital simulation mode
CN106951630A (en) * 2017-03-17 2017-07-14 深圳市云科设计咨询服务有限公司 A kind of refrigeration host computer device selection method being applied in air-conditioning system
CN206724424U (en) * 2017-04-25 2017-12-08 爱恒能源科技(上海)有限公司 Computer room operation energy consumption real-time monitoring and regulating system
CN108241908A (en) * 2018-01-17 2018-07-03 深圳市云科设计咨询服务有限公司 A kind of new method of multi-online air-conditioning system outdoor unit type selecting

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
孔戈: "《建筑能效评估》", 31 August 2013 *
李异: "空调系统冷热源性能的评价", 《西安航空技术高等专科学校学报》 *

Cited By (29)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2020125184A1 (en) * 2018-12-21 2020-06-25 珠海格力电器股份有限公司 Control strategy optimization method and apparatus for air conditioning system, and computer device
CN110175778A (en) * 2019-05-27 2019-08-27 珠海格力电器股份有限公司 Unit efficiency planning system
CN110108002A (en) * 2019-05-31 2019-08-09 珠海格力电器股份有限公司 Improve the outdoor unit progress control method and device of operational energy efficiency and stability
CN110410942A (en) * 2019-07-30 2019-11-05 上海朗绿建筑科技股份有限公司 A kind of Cooling and Heat Source machine room energy-saving optimal control method and system
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
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
CN112781183A (en) * 2019-11-07 2021-05-11 厦门邑通软件科技有限公司 Intelligent consumption reduction method and system for air conditioning system and air conditioner
CN111076345B (en) * 2019-12-11 2021-03-30 珠海格力电器股份有限公司 Prediction device and method of central air-conditioning system and terminal equipment
CN111076345A (en) * 2019-12-11 2020-04-28 珠海格力电器股份有限公司 Prediction device and method of central air-conditioning system and terminal 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
CN111125931A (en) * 2019-12-31 2020-05-08 珠海格力电器股份有限公司 Automatic optimization type searching method and device for cooling tower
CN111125931B (en) * 2019-12-31 2021-09-14 珠海格力电器股份有限公司 Automatic optimization type searching method and device for cooling tower
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
WO2021190095A1 (en) * 2020-03-27 2021-09-30 青岛海尔空调电子有限公司 Air conditioner type selection method, system and device
CN111473482A (en) * 2020-04-08 2020-07-31 贵州汇通华城股份有限公司 Cooling circulation control device and method for water-cooled central air conditioner
CN112461036B (en) * 2020-11-09 2022-05-31 新奥数能科技有限公司 Cooling tower fan control method and device, terminal equipment and storage medium
CN112461036A (en) * 2020-11-09 2021-03-09 新奥数能科技有限公司 Cooling tower fan control method and device, terminal equipment and storage medium
CN112432326B (en) * 2020-11-19 2021-11-23 珠海格力电器股份有限公司 Control method and device of refrigeration secondary pump, air conditioning system, medium and processor
CN112432326A (en) * 2020-11-19 2021-03-02 珠海格力电器股份有限公司 Control method and device of refrigeration secondary pump, air conditioning system, medium and processor
CN112665132A (en) * 2020-12-24 2021-04-16 珠海格力电器股份有限公司 Air conditioning system, energy-saving control method and device for cooling side of air conditioning system and controller
CN112665132B (en) * 2020-12-24 2021-11-23 珠海格力电器股份有限公司 Air conditioning system, energy-saving control method and device for cooling side of air conditioning system and controller
CN112944559A (en) * 2021-02-04 2021-06-11 青岛海尔空调电子有限公司 Control method of air conditioning system
CN113551375A (en) * 2021-07-23 2021-10-26 贵州汇通华城股份有限公司 Cold load prediction method and system for electronic factory
CN113742833A (en) * 2021-09-17 2021-12-03 上海美控智慧建筑有限公司 Air conditioner room setting method and device and electronic equipment
CN113837831A (en) * 2021-09-17 2021-12-24 上海美控智慧建筑有限公司 Type selection method and device for air conditioner room and electronic equipment
WO2023040693A1 (en) * 2021-09-17 2023-03-23 上海美控智慧建筑有限公司 Method and apparatus for configuration of air-conditioning machine room, and electronic device and readable storage medium
CN114440403A (en) * 2022-01-17 2022-05-06 深圳市紫衡技术有限公司 Control method, system, equipment and medium of air conditioning system
CN114543303A (en) * 2022-01-26 2022-05-27 深圳达实智能股份有限公司 Operation optimization method and system of central air-conditioning refrigeration station based on operation big data
CN116105392A (en) * 2023-04-12 2023-05-12 广东美的暖通设备有限公司 Control method and device for centrifugal water chilling unit

Also Published As

Publication number Publication date
CN109595747B (en) 2020-01-07

Similar Documents

Publication Publication Date Title
CN109595747A (en) The energy simulation method, apparatus of air-conditioning system
Zhang et al. Modeling of HVAC operational faults in building performance simulation
Marc et al. Dynamic modeling and experimental validation elements of a 30 kW LiBr/H2O single effect absorption chiller for solar application
Evola et al. Proposal and validation of a model for the dynamic simulation of a solar-assisted single-stage LiBr/water absorption chiller
CN110094802B (en) Heat pump and heat accumulating type electric boiler combined heating load distribution method and device
WO2020124957A1 (en) Air conditioning energy-saving simulation system
Zhou et al. Comparison of HVAC system modeling in EnergyPlus, DeST and DOE-2.1 E
Li et al. Recent advances in dynamic modeling of HVAC equipment. Part 1: Equipment modeling
Cardemil et al. Thermal analysis of a water source heat pump for space heating using an outdoor pool as a heat source
CN110175778B (en) Unit energy efficiency planning system
Cervera-Vázquez et al. In situ optimization methodology for ground source heat pump systems: Upgrade to ensure user comfort
EP4089619A1 (en) Building equipment energy management control system and control method therefor
CN111027181A (en) Method for evaluating energy consumption of central air-conditioning cold water host based on dynamic energy efficiency parameters
CN114001442A (en) Control method and device of air source heat pump unit and electronic equipment
Yik et al. Chiller models for plant design studies
Corbin et al. Transactive control of commercial building hvac systems
Gautier et al. Resilient cooling through geothermal district energy system
De León-Ruiz et al. Thermal capacity: Additional relative efficiency to assess the overall performance of heat pump-based heating systems
Beghi et al. Load forecasting for the efficient energy management of HVAC systems
Chandan Modeling and control of hydronic building HVAC systems
Intini et al. A trigeneration system based on polymer electrolyte fuel cell and desiccant wheel–Part B: Overall system design and energy performance analysis
Eldredge et al. Improving the accuracy and scope of control-oriented vapor compression cycle system models
Shrestha Empirical validation of building energy simulation software: EnergyPlus
CN114427742B (en) Central air-conditioning cold station energy efficiency control method, device, equipment and storage medium
Cervera-Vázquez et al. Optimal control and operation of a GSHP system for heating and cooling in an office building

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
CB03 Change of inventor or designer information
CB03 Change of inventor or designer information

Inventor after: Li Hongbo

Inventor after: Wang Sheng

Inventor after: He Yuxue

Inventor after: Liu Guolin

Inventor after: Han Guangyu

Inventor before: He Yuxue

Inventor before: Wang Sheng

Inventor before: Liu Guolin

Inventor before: Han Guangyu

Inventor before: Liu Hui

TR01 Transfer of patent right
TR01 Transfer of patent right

Effective date of registration: 20210127

Address after: Floor 1, building 12 (sheet metal workshop), 789 Jinji Road, Qianshan, Zhuhai, Guangdong 519000

Patentee after: ZHUHAI GREE ENERGY ENVIRONMENTAL TECHNOLOGY Co.,Ltd.

Patentee after: GREE ELECTRIC APPLIANCES Inc. OF ZHUHAI

Address before: 519000 Qianshan Jinji West Road, Xiangzhou District, Zhuhai City, Guangdong Province

Patentee before: GREE ELECTRIC APPLIANCES Inc. OF ZHUHAI