CN109595747B

CN109595747B - Energy consumption simulation method and device of air conditioning system

Info

Publication number: CN109595747B
Application number: CN201811579427.6A
Authority: CN
Inventors: 何玉雪; 王升; 刘国林; 韩广宇; 刘慧�
Original assignee: Gree Electric Appliances Inc of Zhuhai
Current assignee: Gree Electric Appliances Inc of Zhuhai; Zhuhai Gree Energy Environment Technology Co Ltd
Priority date: 2018-12-24
Filing date: 2018-12-24
Publication date: 2020-01-07
Anticipated expiration: 2038-12-24
Also published as: CN109595747A

Abstract

The application relates to an energy consumption simulation method and device of an air conditioning system. The method comprises the following steps: acquiring cold load data; generating a control scheme according to the cold load data; calculating the comprehensive energy efficiency ratio of the control scheme; and determining an energy-saving control scheme in the control scheme according to the comprehensive energy efficiency ratio. By adopting the method, the energy consumption of the air conditioning system can be predicted in advance, so that the air conditioning system can realize the optimal equipment type selection and the optimal control strategy in the early stage of design, the actual operation of the system is in the optimal level, and the operation efficiency is improved.

Description

Energy consumption simulation method and device of air conditioning system

Technical Field

The present application relates to the field of air conditioning system technologies, and in particular, to an energy consumption simulation method and apparatus for an air conditioning system, a computer device, and a storage medium.

Background

At present, in the heating and ventilation industry, the energy consumption problem of an air conditioner room is a place which is worth paying important attention, and deep discussion is always carried out in the industry;

when designers design or modify the air conditioning system in the earlier stage, no standard exists for whether the equipment type selection is reasonable and energy conservation is achieved; because the system scheme is various, not only relate to scheme such as primary pump, secondary pump water system scheme, decide variable frequency system scheme, also have big quick-witted system of big or small, calculate the seasonal energy consumption of refrigeration through artificial mode, the cost is higher, and the designer often designs according to experience in the past, leads to designing earlier stage energy-conserving effect and can not obtain the assurance.

And secondly, when the equipment manufacturer designs the group control system, whether the energy-saving strategy is reasonable or not and the data such as the comprehensive energy efficiency ratio are uncertain, and the debugging result can be obtained only after the system stably runs and the artificial debugging is carried out on the engineering site according to the end load working condition.

After the air conditioning system delivers the user, whether the energy consumption of the system achieves the expected energy-saving effect, whether the air conditioning equipment is in the optimal operation level, whether the energy-saving control strategy of the system is the optimal strategy and the like are not determined; therefore, the existing air conditioning system has the problems of unreasonable control strategy and system operation and the like.

Disclosure of Invention

Based on this, it is necessary to provide an energy consumption simulation method, an apparatus, a computer device, and a storage medium for an air conditioning system, which can achieve the optimal expected energy saving effect of the air conditioning system, in order to solve the problems of unreasonable control strategy and system operation of the existing air conditioning system.

An energy consumption simulation method of an air conditioning system, the method comprising:

acquiring cold load data;

generating a control scheme according to the cold load data;

calculating the comprehensive energy efficiency ratio of the control scheme;

and determining an energy-saving control scheme in the control scheme according to the comprehensive energy efficiency ratio.

In one embodiment, the generating a control scheme according to the cooling load data includes:

generating an air conditioning system design scheme according to the maximum building cold load in the cold load data;

and generating a corresponding control scheme according to the design scheme of the air conditioning system.

In one embodiment, the calculating the comprehensive energy efficiency ratio of the control scheme includes:

calculating the refrigerating capacity in each control scheme;

calculating energy consumption data of the refrigeration equipment in each control scheme;

and determining the comprehensive energy efficiency ratio of each control scheme according to the ratio of the refrigerating capacity to the energy consumption data.

In one embodiment, the calculating the energy consumption data of the refrigeration equipment in each control scheme includes:

calculating first energy consumption data of the chilled water pump in each control scheme;

calculating second energy consumption data of the cooling water pump in each control scheme;

calculating third energy consumption data of the cooling tower in each control scheme;

calculating fourth energy consumption data of the water chilling unit in each control scheme;

and determining the sum of the first energy consumption data, the second energy consumption data, the third energy consumption data and the fourth energy consumption data as the energy consumption data of the refrigeration equipment.

In one embodiment, the calculating the first energy consumption data of the chilled water pump in each control scheme includes:

acquiring temperature difference data of chilled water supply and return water;

calculating to obtain the flow rate of the chilled water according to the chilled water supply and return water temperature difference data;

calculating the water pressure drop of the air conditioning equipment at the freezing side according to the flow of the freezing water;

obtaining first actual lift data of a freezing water pump according to the water pressure drop of the freezing side air conditioning equipment;

calculating a first real-time frequency of the chilled water pump corresponding to the chilled water flow and first actual head data according to a preset semi-empirical mathematical model of the water pump;

and calculating the chilled water flow, the first actual lift data and the first energy consumption data of the chilled water pump corresponding to the first real-time frequency according to a preset semi-empirical mathematical model of the water pump.

In one embodiment, the calculating the second energy consumption data of the cooling water pump in each control scheme includes:

acquiring temperature difference data of cooling water supply and return water;

calculating according to the cooling water supply and return water temperature difference data to obtain cooling water flow;

calculating the water pressure drop of the air conditioning equipment at the cooling side according to the cooling water flow;

obtaining second actual lift data of the cooling water pump according to the water pressure drop of the cooling side air conditioning equipment;

calculating a second real-time frequency of the cooling water pump corresponding to the cooling water flow and second actual head data through a preset water pump semi-empirical mathematical model;

and calculating the cooling water flow, the second actual lift data and the second energy consumption data of the cooling water pump corresponding to the second real-time frequency according to a preset semi-empirical mathematical model of the water pump.

In one embodiment, the calculating the third energy consumption data of the cooling tower in each of the control schemes includes:

obtaining the flow rate of cooling water;

calculating the actual air quantity of the fan of the cooling tower according to the cooling water flow and the optimal air-water ratio;

and calculating third energy consumption data of the cooling tower corresponding to the actual air volume through a preset semi-empirical mathematical model of the cooling tower.

In one embodiment, the calculating fourth energy consumption data of the chiller in each of the control schemes includes:

acquiring the outdoor wet bulb temperature;

obtaining chilled water outlet water temperature, chilled water flow, cooling water flow and cold load data;

calculating the outlet water temperature of the cooling tower according to the outdoor wet bulb temperature;

determining the outlet water temperature of the cooling tower as the inlet water temperature of cooling water;

and calculating fourth energy consumption data of the water chilling unit through a preset semi-empirical mathematical model of the water chilling unit according to the outlet water temperature of the chilled water, the flow rate of the chilled water, the inlet water temperature of the cooling water, the flow rate of the cooling water and the cold load data.

In one embodiment, the water pressure drop of the freezing side air conditioning equipment comprises the water pressure drop of an evaporator of a water chilling unit, the water supply and return pressure difference of a freezing main pipe, the water pressure drop of auxiliary equipment and the water pressure drop of a freezing pipeline, a valve and a pipe fitting; according to freezing side air conditioning equipment's water pressure drop, obtain freezing water pump's first actual lift data, include:

and determining the sum of the water pressure drop of the evaporator of the water chilling unit, the water supply and return pressure difference of the freezing main pipe, the water pressure drop of the auxiliary equipment and the water pressure drops of the freezing pipeline, the valve and the pipe fitting as the first actual lift data.

In one embodiment, the calculating a first real-time frequency of the chilled water pump corresponding to the chilled water flow and the first actual head data according to a preset semi-empirical mathematical model of the water pump includes:

acquiring a preset frequency;

calculating the flow rate of the chilled water with specific frequency according to the preset frequency;

calculating specific frequency lift data corresponding to the specific frequency chilled water flow according to a preset water pump semi-empirical calculation model;

calculating according to the specific frequency lift data and the preset frequency to obtain first current lift data;

when the difference value between the first current head data and the first actual head data is larger than a first iteration error, returning to the step of acquiring the preset frequency;

and when the difference between the first current head data and the first actual head data is smaller than a first iteration error, determining the preset frequency as a first real-time frequency.

In one embodiment, the water pressure drop of the cooling side air conditioning equipment comprises the water pressure drop of a condenser of a water chilling unit, the head data of a cooling tower, the water pressure drop of auxiliary equipment and the water pressure drop of a cooling pipeline, a valve and a pipe fitting; according to cooling side air conditioning equipment's water pressure drop, obtain cooling water pump's second actual lift data, include:

and determining the sum of the water pressure drop of the condenser of the water chilling unit, the head data of the cooling tower, the water pressure drop of the auxiliary equipment and the water pressure drops of the cooling pipeline, the valve and the pipe fittings as the second actual head data.

In one embodiment, the calculating, by using a preset semi-empirical mathematical model of the water pump, a second real-time frequency of the cooling water pump corresponding to the flow rate of the cooling water and the second actual head data includes:

acquiring a preset frequency;

calculating the water flow of the cooling water with a specific frequency according to the preset frequency;

calculating specific frequency lift data corresponding to the water flow of the cooling water with specific frequency according to a preset semi-empirical calculation model of the water pump;

calculating according to the specific frequency lift data and the preset frequency to obtain second current lift data;

when the difference value between the second current head data and the second actual head data is larger than a second iteration error, returning to the step of acquiring the preset frequency;

and when the difference value between the second current head data and the second actual head data is smaller than a second iteration error, determining the preset frequency as a second real-time frequency.

In one embodiment, the calculating, by using a preset semi-empirical mathematical model of the cooling tower, third energy consumption data of the cooling tower corresponding to the actual air volume includes:

acquiring initial energy consumption data and initial air volume of a fan of a cooling tower;

fitting according to the initial energy consumption data and the initial air volume to obtain a semi-empirical mathematical model of the cooling tower;

and inputting the actual air volume into the semi-empirical mathematical model of the cooling tower to obtain third energy consumption data of the cooling tower.

In one embodiment, the water chilling unit comprises an evaporator and a condenser; and calculating fourth energy consumption data of the water chilling unit through a preset semi-empirical mathematical model of the water chilling unit according to the chilled water outlet temperature, the chilled water flow, the cooling water inlet temperature, the cooling water flow and the cold load data, wherein the fourth energy consumption data comprises the following steps:

determining the outlet water temperature of the evaporator as the outlet water temperature of the chilled water;

determining the evaporator water flow rate as a chilled water flow rate;

determining the condenser water flow as a cooling water flow;

and inputting the chilled water outlet temperature, the chilled water flow, the cooling water inlet temperature, the cooling water flow and the cold load data into the preset semi-empirical mathematical model of the water chilling unit to obtain the fourth energy consumption data.

In one embodiment, the obtaining the outdoor wet bulb temperature includes:

acquiring meteorological data; wherein the meteorological data comprises outdoor dry bulb temperature and relative humidity;

and converting according to the outdoor dry bulb temperature and the relative humidity to obtain the outdoor wet bulb temperature.

In one embodiment, the determining an energy-saving control scheme among the control schemes according to the integrated energy efficiency ratio includes:

sequencing the control schemes according to the comprehensive energy efficiency ratio;

and determining the preset number of control schemes with the highest comprehensive energy efficiency ratio as the energy-saving control schemes.

An energy consumption simulation apparatus of an air conditioning system, the apparatus comprising:

the acquisition module is used for acquiring cold load data;

the generating module is used for generating a control scheme according to the cold load data;

the calculation module is used for calculating the comprehensive energy efficiency ratio of the control scheme;

and the determining module is used for determining an energy-saving control scheme in the control schemes according to the comprehensive energy efficiency ratio.

A computer device comprising a memory and a processor, the memory storing a computer program, the processor implementing the following steps when executing the computer program:

acquiring cold load data;

generating a control scheme according to the cold load data;

calculating the comprehensive energy efficiency ratio of the control scheme;

A computer-readable storage medium, on which a computer program is stored which, when executed by a processor, carries out the steps of:

acquiring cold load data;

generating a control scheme according to the cold load data;

calculating the comprehensive energy efficiency ratio of the control scheme;

The energy consumption simulation method and device of the air conditioning system, the computer equipment and the storage medium acquire cold load data; generating a control scheme according to the cold load data; calculating the comprehensive energy efficiency ratio of the control scheme; determining an energy-saving control scheme in the control scheme according to the comprehensive energy efficiency ratio; the simulation scheme of the air conditioning system is established, early-stage design and model selection of the air conditioning system can be carried out, the energy consumption of the air conditioning system is predicted in advance, the optimal equipment model selection and the optimal control strategy can be realized in the early stage of design of the air conditioning system, the actual operation of the system is in the optimal level, and the operation efficiency is improved.

Drawings

FIG. 1 is a schematic flow chart of a method for simulating energy consumption of an air conditioning system according to an embodiment;

fig. 2 is a block diagram of an energy consumption simulation apparatus of an air conditioning system according to an embodiment;

FIG. 3 is an internal block diagram of a computer device of an embodiment.

Detailed Description

In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.

The energy consumption simulation method of the air conditioning system provided by the application can be applied to a terminal or a server, the terminal can be but is not limited to various personal computers, notebook computers, smart phones, tablet computers and portable wearable devices, an operating system of the terminal can include Windows, Linux, Android (Android), IOS, Windows Phone and the like, and the embodiment is not limited thereto.

In one embodiment, as shown in fig. 1, a method for simulating energy consumption of an air conditioning system is provided, which is described by taking the method as an example for being applied to a terminal, and includes the following steps:

step S201, acquiring cold load data;

in this embodiment, the terminal may be a component of an air conditioning system, the terminal may run a simulation application, and the simulation application may be preset with cooling load data, where it should be noted that the cooling load data may include cooling loads of unit areas of different building types, maximum cooling loads of buildings, and the like.

Further, the terminal can also acquire meteorological data and can correct the cold load data according to the meteorological data; the meteorological data may include outdoor dry bulb temperature, relative humidity, etc., which is not limited in this embodiment; that is, the cooling load data may be corrected according to the outdoor dry bulb temperature and the relative humidity.

Step S202, generating a control scheme according to the cold load data;

further applied to this embodiment, the terminal may generate a plurality of control schemes according to the cooling load data, and may first generate one or more air conditioning system design schemes according to the cooling load data, where each air conditioning system design scheme may include related air conditioning equipment information, and the air conditioning equipment may include a chiller, a chilled water pump, a cooling tower, and the like.

Specifically, the terminal can automatically search and match one or more air conditioning system design schemes through a simulation application program, wherein the matching of corresponding air conditioning equipment such as a water chilling unit, a chilled water pump, a cooling tower, a heat exchanger, a fan and the like is included; preferably, the simulation application program may include a display window, and all the air conditioning system design schemes and the corresponding air conditioning equipment information are displayed on the display window.

On the other hand, the terminal can also receive a user instruction, and adjust the design scheme of the air conditioning system according to the instruction, specifically, the model of the water chilling unit, the model of the chilled water pump or the cooling water pump, the model of the cooling tower and the related equipment and the like can be adjusted.

Each air conditioning system design scheme can be provided with one or more corresponding control schemes, the control schemes can be composed of different control strategies, and the control strategies can be a water chilling unit plus-minus machine strategy, an equipment running time strategy and the like.

For example, the simulation application degree calculates the number of the running water chilling units in sections according to the size of cold load data, and optimizes the start and stop of the water chilling units according to the energy efficiency curve of the water chilling units, and the water chilling unit plus-minus strategy can be that the water chilling units are not started when the building cold load at the current moment is smaller than the minimum load of the water chilling units with the minimum capacity; when the building cold load at the current moment is greater than or equal to the minimum load of the minimum-capacity water chilling unit, starting 1 minimum-capacity water chilling unit, wherein the water chilling unit is in a minimum load operation state; and when the building cold load at the current moment is greater than or equal to the set value of the added machine load of the group control system, 1 water chilling unit is added.

Step S203, calculating the comprehensive energy efficiency ratio of the control scheme;

specifically applied to this embodiment, the terminal may calculate the comprehensive energy efficiency ratios of the plurality of control schemes; the comprehensive energy efficiency ratio refers to the ratio of the refrigerating capacity in a preset time period to the energy consumption data of the refrigerating equipment. It should be noted that the refrigerating capacity in the preset time period may be an accumulated value of refrigerating capacity time by time; the refrigeration equipment refers to the refrigeration equipment in the air conditioning equipment corresponding to the control scheme, namely the energy consumption data of the refrigeration equipment can comprise the energy consumption data of a water chilling unit, a freezing water pump, a cooling water pump and a cooling tower.

Specifically, the terminal can take the ratio of the refrigerating capacity in a preset time period to the energy consumption data of the refrigerating equipment in the preset time period as the comprehensive energy efficiency ratio; the preset time period may be a certain year, a plurality of years, a certain month, a plurality of months, a certain day, or the like, which is not limited in this embodiment.

And step S204, determining an energy-saving control scheme in the control schemes according to the comprehensive energy efficiency ratio.

Specifically, the terminal may sort the control schemes according to the comprehensive energy efficiency ratio, determine a predicted number of control schemes with the highest comprehensive energy efficiency ratio as the energy-saving control schemes, and determine, for example, N control schemes with the highest comprehensive energy efficiency ratio as the energy-saving control schemes, where N is a positive integer; because each control scheme has a corresponding relationship with a certain air conditioning system design scheme, namely the energy-saving control scheme also has a corresponding relationship with a certain air conditioning system design scheme, the air conditioning system design scheme having a corresponding relationship with the energy-saving control scheme can be determined as the optimal air conditioning system design scheme,

of course, if the number of the energy saving control schemes is N, the number of the optimal air conditioning system design schemes may also be N; technicians can design the air conditioning system according to the optimal air conditioning system design scheme and then control the corresponding air conditioning equipment to operate through the energy-saving control scheme.

According to the energy consumption simulation method of the air conditioning system provided by the embodiment, cold load data is obtained; generating a control scheme according to the cold load data; calculating the comprehensive energy efficiency ratio of the control scheme; determining an energy-saving control scheme in the control scheme according to the comprehensive energy efficiency ratio; the simulation scheme of the air conditioning system is established, early-stage design and model selection of the air conditioning system can be carried out, the energy consumption of the air conditioning system is predicted in advance, the optimal equipment model selection and the optimal control strategy can be realized in the early stage of design of the air conditioning system, the actual operation of the system is in the optimal level, and the operation efficiency is improved.

In another embodiment, the generating a control scheme from the cooling load data comprises: generating an air conditioning system design scheme according to the maximum building cold load in the cold load data; and generating a corresponding control scheme according to the design scheme of the air conditioning system.

In specific application, the terminal can generate an air conditioning system design scheme according to the cold load data and then generate a plurality of corresponding control schemes according to the air conditioning system design scheme; in the simulation application program, cold load data of different typical buildings and meteorological data of different regions can be preset, and the meteorological data can be used for correcting the cold load data; the cooling load data may include a maximum cooling load of the building, and the terminal may generate an air conditioning system design plan based on the maximum cooling load of the building.

In another embodiment, the calculating the integrated energy efficiency ratio of the control scheme includes: calculating the refrigerating capacity in each control scheme; calculating energy consumption data of the refrigeration equipment in each control scheme; and determining the comprehensive energy efficiency ratio of each control scheme according to the ratio of the refrigerating capacity to the energy consumption data.

Under the condition that a plurality of control schemes are generated, the terminal can calculate the comprehensive energy efficiency ratio of each control scheme; specifically, the refrigeration capacity in each control scheme may be calculated, that is, the refrigeration capacity of each control scheme is accumulated time by time to obtain the refrigeration capacity in a preset time period.

Furthermore, the terminal can also calculate energy consumption data of the refrigeration equipment in each control scheme, such as energy consumption of the cooling water pump and the chilled water pump, and the like, wherein the energy consumption data of the refrigeration equipment is also energy consumption data in a preset time period, and the ratio of the refrigerating capacity to the energy consumption data in the preset time period is determined as the comprehensive energy efficiency ratio of the control scheme; in this way, after the comprehensive energy efficiency ratio of each control project is calculated, the comprehensive energy efficiency ratio of the plurality of control projects can be determined.

In another embodiment, the calculating the energy consumption data of the refrigeration equipment in each control scheme includes: calculating first energy consumption data of the chilled water pump in each control scheme; calculating second energy consumption data of the cooling water pump in each control scheme; calculating third energy consumption data of the cooling tower in each control scheme; calculating fourth energy consumption data of the water chilling unit in each control scheme; and determining the sum of the first energy consumption data, the second energy consumption data, the third energy consumption data and the fourth energy consumption data as the energy consumption data of the refrigeration equipment.

In this embodiment, the refrigeration equipment may be a chilled water pump, a cooling tower, a chiller, and the like, which is not limited in this embodiment; the terminal can calculate the energy consumption data of each refrigeration device, and the energy consumption data of all the refrigeration devices are accumulated to obtain the total energy consumption data.

In another embodiment, the calculating the first energy consumption data of the chilled water pump in each of the control schemes includes: acquiring temperature difference data of chilled water supply and return water; calculating to obtain the flow rate of the chilled water according to the chilled water supply and return water temperature difference data; calculating the water pressure drop of the air conditioning equipment at the freezing side according to the flow of the freezing water; obtaining first actual lift data of a freezing water pump according to the water pressure drop of the freezing side air conditioning equipment; calculating a first real-time frequency of the chilled water pump corresponding to the chilled water flow and first actual head data according to a preset semi-empirical mathematical model of the water pump; and calculating the chilled water flow, the first actual lift data and the first energy consumption data of the chilled water pump corresponding to the first real-time frequency according to a preset semi-empirical mathematical model of the water pump.

In this embodiment, the terminal may calculate to obtain a chilled water flow according to the chilled water supply and return water temperature difference data, calculate to obtain a water pressure drop of the air conditioning equipment on the chilled side according to the chilled water flow, obtain first actual lift data according to the water pressure drop, calculate to obtain a first real-time frequency of the chilled water pump through a preset water pump semi-empirical mathematical model, and calculate to obtain first energy consumption data of the chilled water pump according to the preset water pump semi-empirical mathematical model.

It should be noted that the water pump semi-empirical mathematical model is an empirical mathematical model preset in a simulation application program and can be obtained by fitting initial water pump operation data, and the water pump semi-empirical mathematical model can calculate all operation parameters of the cooling water pump or the chilled water pump under any operation condition.

In another embodiment, the calculating the second energy consumption data of the cooling water pump in each control scheme includes: acquiring temperature difference data of cooling water supply and return water; calculating according to the cooling water supply and return water temperature difference data to obtain cooling water flow; calculating the water pressure drop of the air conditioning equipment at the cooling side according to the cooling water flow; obtaining second actual lift data of the cooling water pump according to the water pressure drop of the cooling side air conditioning equipment;

calculating a second real-time frequency of the cooling water pump corresponding to the cooling water flow and second actual head data through a preset water pump semi-empirical mathematical model; and calculating the cooling water flow, the second actual lift data and the second energy consumption data of the cooling water pump corresponding to the second real-time frequency according to a preset semi-empirical mathematical model of the water pump.

In this embodiment, the terminal may calculate to obtain cooling water flow according to the cooling water supply and return water temperature difference data, calculate to obtain a water pressure drop of the cooling side air conditioning equipment according to the cooling water flow, obtain second actual lift data according to the water pressure drop, calculate to obtain a second real-time frequency of the cooling water pump according to a preset water pump semi-empirical mathematical model, and calculate to obtain second energy consumption data of the cooling water pump according to the preset water pump semi-empirical mathematical model.

In another embodiment, the calculating the third energy consumption data of the cooling tower in each of the control schemes includes: obtaining the flow rate of cooling water; calculating the actual air quantity of the fan of the cooling tower according to the cooling water flow and the optimal air-water ratio; and calculating third energy consumption data of the cooling tower corresponding to the actual air volume through a preset semi-empirical mathematical model of the cooling tower.

Specifically, the terminal can obtain the actual air volume of the cooling tower fan according to the cooling water flow and the optimal air-water ratio, and then calculate the third energy consumption data of the cooling tower corresponding to the actual air volume through a preset semi-empirical mathematical model of the cooling tower.

The preset semi-empirical mathematical model of the cooling tower can be obtained by fitting data in a fan power curve of the cooling tower, specifically, relational data between the power data and the air volume data of a fan at the maximum frequency of the fan in the fan power curve of the cooling tower is extracted, each power data (namely initial energy consumption data) in the group of data corresponds to one air volume data (initial air volume), and a mathematical formula of the initial energy consumption data and the initial air volume of the fan of the cooling tower, namely the semi-empirical mathematical model of the cooling tower, is obtained by fitting calculation.

It should be noted that when the outlet water temperature of the cooling tower is less than or equal to the minimum inlet water temperature limit value of the water chilling unit, the frequency of the fan of the cooling tower is not reduced. When the outlet water temperature of the cooling tower is larger than the minimum inlet water temperature limit value of the water chilling unit, the frequency of the fan can be controlled according to the fixed temperature difference setting value of the cooling tower, and when the actual temperature difference of the cooling tower is larger than the setting value, the frequency of the fan is increased, otherwise, the frequency is reduced. And the actual air quantity of the fan is in direct proportion to the condensation heat rejection quantity of the cooling tower.

In another embodiment, the calculating the fourth energy consumption data of the chiller in each of the control schemes includes: acquiring the outdoor wet bulb temperature; obtaining chilled water outlet water temperature, chilled water flow, cooling water flow and cold load data; calculating the outlet water temperature of the cooling tower according to the outdoor wet bulb temperature; determining the outlet water temperature of the cooling tower as the inlet water temperature of cooling water; and calculating fourth energy consumption data of the water chilling unit through a preset semi-empirical mathematical model of the water chilling unit according to the outlet water temperature of the chilled water, the flow rate of the chilled water, the inlet water temperature of the cooling water, the flow rate of the cooling water and the cold load data.

Specifically, the terminal can obtain the outlet water temperature of the cooling tower according to the outdoor wet bulb temperature, and then input the outlet water temperature of the chilled water, the chilled water flow, the cooling water flow and the cold load data into the preset semi-empirical mathematical model of the water chilling unit to obtain the fourth energy consumption data of the water chilling unit.

It should be noted that the semi-empirical mathematical model of the preset chiller may also be obtained by fitting the initial data.

On the other hand, other operation parameters of the water chilling unit, such as the energy efficiency of the water chilling unit, the inlet water temperature of chilled water, the outlet water temperature of cooling water and the like, can also be obtained through the preset semi-empirical mathematical model of the water chilling unit.

In another embodiment, the water pressure drop of the freezing side air conditioning equipment comprises the water pressure drop of an evaporator of a water chilling unit, the water supply and return pressure difference of a freezing main pipe, the water pressure drop of auxiliary equipment and the water pressure drop of a freezing pipeline, a valve and a pipe fitting; according to freezing side air conditioning equipment's water pressure drop, obtain freezing water pump's first actual lift data, include: and determining the sum of the water pressure drop of the evaporator of the water chilling unit, the water supply and return pressure difference of the freezing main pipe, the water pressure drop of the auxiliary equipment and the water pressure drops of the freezing pipeline, the valve and the pipe fitting as the first actual lift data.

Specifically, the water pressure drop of the air conditioning equipment at the freezing side comprises the water pressure drop of an evaporator of a water chilling unit, the water supply and return pressure difference of a freezing main pipe, the water pressure drop of auxiliary equipment and the water pressure drop of a freezing pipeline, a valve and a pipe fitting, namely the air conditioning equipment at the freezing side can comprise the evaporator of the water chilling unit, the freezing main pipe, the auxiliary equipment, the freezing pipeline, the valve, the pipe fitting and the like, and the water pressure drop of the air conditioning equipment at the freezing side is accumulated to obtain the first actual lift data of the freezing water pump.

In another embodiment, the calculating a first real-time frequency of the chilled water pump corresponding to the chilled water flow and the first actual head data according to a preset semi-empirical mathematical model of the water pump includes: acquiring a preset frequency; calculating the flow rate of the chilled water with specific frequency according to the preset frequency; calculating specific frequency lift data corresponding to the specific frequency chilled water flow according to a preset water pump semi-empirical calculation model; calculating according to the specific frequency lift data and the preset frequency to obtain first current lift data; when the difference value between the first current head data and the first actual head data is larger than a first iteration error, returning to the step of acquiring the preset frequency; and when the difference between the first current head data and the first actual head data is smaller than a first iteration error, determining the preset frequency as a first real-time frequency.

In this embodiment, the step of obtaining the preset frequency to obtain the first current head data by calculation according to the specific frequency head data and the preset frequency is an iterative calculation process of this embodiment, when a difference between the first current head data and the first actual head data is greater than a first iterative error, the step of obtaining the preset frequency is returned, the iterative calculation process is restarted until a difference between the first current head data and the first actual head data is smaller than the first iterative error, at this time, the first real-time frequency is determined for the corresponding preset frequency, and the first real-time frequency is output.

For example, after the preset frequency is obtained, the preset frequency may be an artificially preset water pump operation frequency, the chilled water flow rate with the specific frequency may be a chilled water flow rate under 50Hz, and the chilled water flow rate under 50Hz is obtained by multiplying the current chilled water flow rate by 50Hz and dividing the current chilled water flow rate by the preset frequency; inputting the flow rate of the chilled water under 50Hz into the preset water pump semi-empirical calculation model, and calculating to obtain lift data under 50 Hz; obtaining first current lift data according to the preset frequency and the lift data under 50 Hz; and judging the relation between the difference between the first current head data and the first actual head data and a first iteration error, when the difference is larger than the first iteration error, continuing iteration, and otherwise, quitting the iteration calculation and determining a first real-time frequency according to the corresponding preset frequency, wherein the iteration error must meet the requirement of the simulation calculation precision.

In another embodiment, the water pressure drop of the cooling side air conditioning equipment comprises the water pressure drop of a condenser of a water chilling unit, the head data of a cooling tower, the water pressure drop of auxiliary equipment and the water pressure drop of a cooling pipeline, a valve and a pipe fitting; according to cooling side air conditioning equipment's water pressure drop, obtain cooling water pump's second actual lift data, include: and determining the sum of the water pressure drop of the condenser of the water chilling unit, the head data of the cooling tower, the water pressure drop of the auxiliary equipment and the water pressure drops of the cooling pipeline, the valve and the pipe fittings as the second actual head data.

On the other hand, the water pressure drop of the cooling side air conditioning equipment comprises the water pressure drop of a condenser of the water chilling unit, the head data of the cooling tower, the water pressure drop of auxiliary equipment, the water pressure drop of a cooling pipeline, a valve and a pipe fitting, namely the cooling side air conditioning equipment can comprise the condenser of the water chilling unit, the cooling tower, the auxiliary equipment, the cooling pipeline, the valve, the pipe fitting and the like, and the water pressure drop of the cooling side air conditioning equipment is accumulated to obtain the second actual head data of the cooling water pump.

In another embodiment, the calculating, by a preset semi-empirical mathematical model of the water pump, a second real-time frequency of the cooling water pump corresponding to the cooling water flow and a second actual head data includes: acquiring a preset frequency; calculating the water flow of the cooling water with a specific frequency according to the preset frequency; calculating specific frequency lift data corresponding to the water flow of the cooling water with specific frequency according to a preset semi-empirical calculation model of the water pump; calculating according to the specific frequency lift data and the preset frequency to obtain second current lift data; when the difference value between the second current head data and the second actual head data is larger than a second iteration error, returning to the step of acquiring the preset frequency; and when the difference value between the second current head data and the second actual head data is smaller than a second iteration error, determining the preset frequency as a second real-time frequency.

In a preferred embodiment of this embodiment, the step of obtaining the preset frequency is also an iterative calculation process of this embodiment, when a difference between the second current head data and the second actual head data is greater than a second iterative error, the step of obtaining the preset frequency is returned, the iterative calculation process is restarted until the difference between the second current head data and the second actual head data is smaller than the second iterative error, the iterative process is completed, and at this time, the second real-time frequency is determined according to the corresponding preset frequency, and the second real-time frequency is output.

It should be noted that the first iteration error and the second iteration error are any values set by those skilled in the art according to practical situations, and the embodiment does not limit this.

In another embodiment, the calculating, by a preset semi-empirical mathematical model of the cooling tower, third energy consumption data of the cooling tower corresponding to the actual air volume includes: acquiring initial energy consumption data and initial air volume of a fan of a cooling tower; fitting according to the initial energy consumption data and the initial air volume to obtain a semi-empirical mathematical model of the cooling tower; and inputting the actual air volume into the semi-empirical mathematical model of the cooling tower to obtain third energy consumption data of the cooling tower.

In this embodiment, first, initial energy consumption data and initial air volume of a power curve of a cooling tower fan are obtained, and fitting operation is performed according to the initial energy consumption data and the initial air volume to obtain a mathematical formula of the initial energy consumption data and the initial air volume of the cooling tower fan, so as to obtain the semi-empirical mathematical model of the cooling tower.

In another embodiment, the chiller includes an evaporator, a condenser; and calculating fourth energy consumption data of the water chilling unit through a preset semi-empirical mathematical model of the water chilling unit according to the chilled water outlet temperature, the chilled water flow, the cooling water inlet temperature, the cooling water flow and the cold load data, wherein the fourth energy consumption data comprises the following steps: determining the outlet water temperature of the evaporator as the outlet water temperature of the chilled water; determining the evaporator water flow rate as a chilled water flow rate; determining the condenser water flow as a cooling water flow; and inputting the chilled water outlet temperature, the chilled water flow, the cooling water inlet temperature, the cooling water flow and the cold load data into the preset semi-empirical mathematical model of the water chilling unit to obtain the fourth energy consumption data.

In the embodiment, the outlet water temperature of the evaporator is determined as the outlet water temperature of chilled water, and the flow rate of the evaporator is determined as the flow rate of the chilled water; determining the condenser water flow as a cooling water flow; and inputting the data, the inlet water temperature of the cooling water and the cold load data into the preset semi-empirical mathematical model of the water chilling unit to obtain the fourth energy consumption data.

In another embodiment, said obtaining outdoor wet bulb temperature comprises: acquiring meteorological data; wherein the meteorological data comprises outdoor dry bulb temperature and relative humidity; and converting according to the outdoor dry bulb temperature and the relative humidity to obtain the outdoor wet bulb temperature.

The outdoor wet bulb temperature can be used for calculating the outlet water temperature of the cooling tower, and can be converted according to the outdoor dry bulb temperature and the relative humidity to obtain the outdoor wet bulb temperature; specifically, the simulation application program of the terminal may preset a mapping table of the outdoor dry-bulb temperature, the relative humidity, and the outdoor wet-bulb temperature, and the mapping table is queried to obtain the outdoor wet-bulb temperature corresponding to the outdoor dry-bulb temperature and the relative humidity.

In another embodiment, the determining an energy saving control scheme among the control schemes according to the integrated energy efficiency ratio includes: sequencing the control schemes according to the comprehensive energy efficiency ratio; and determining the preset number of control schemes with the highest comprehensive energy efficiency ratio as the energy-saving control schemes.

In practical application, after the comprehensive energy efficiency ratios of the plurality of control schemes are obtained, the plurality of control schemes are sequenced from high to low according to the comprehensive energy efficiency ratios, and the first N control schemes with the highest comprehensive energy efficiency ratio can be determined as the energy-saving control schemes.

It should be understood that, although the steps in the flowchart of fig. 1 are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least a portion of the steps in fig. 1 may include multiple sub-steps or multiple stages that are not necessarily performed at the same time, but may be performed at different times, and the order of performance of the sub-steps or stages is not necessarily sequential, but may be performed in turn or alternately with other steps or at least a portion of the sub-steps or stages of other steps.

In one embodiment, as shown in fig. 2, there is provided an energy consumption simulation apparatus of an air conditioning system, including: an obtaining module 301, a generating module 302, a calculating module 303 and a determining module 304, wherein:

an obtaining module 301, configured to obtain cold load data;

a generating module 302, configured to generate a control scheme according to the cooling load data;

a calculating module 303, configured to calculate a comprehensive energy efficiency ratio of the control scheme;

a determining module 304, configured to determine an energy saving control scheme in the control schemes according to the comprehensive energy efficiency ratio.

In one embodiment, the generating module comprises:

the first generation submodule is used for generating an air conditioning system design scheme according to the maximum building cold load in the cold load data;

and the second generation submodule is used for generating a corresponding control scheme according to the design scheme of the air conditioning system.

In one embodiment, the calculation module comprises:

the first obtaining submodule is used for calculating the refrigerating capacity in each control scheme;

the first calculation submodule is used for calculating the energy consumption data of the refrigeration equipment in each control scheme;

and the first determining submodule is used for determining the comprehensive energy efficiency ratio of each control scheme according to the ratio of the refrigerating capacity to the energy consumption data.

In one embodiment, the first computation submodule includes:

the first calculating unit is used for calculating first energy consumption data of the chilled water pump in each control scheme;

the second calculating unit is used for calculating second energy consumption data of the cooling water pump in each control scheme;

the third calculating unit is used for calculating third energy consumption data of the cooling tower in each control scheme;

the fourth calculating unit is used for calculating fourth energy consumption data of the water chilling unit in each control scheme;

and the first determining unit is used for determining the sum of the first energy consumption data, the second energy consumption data, the third energy consumption data and the fourth energy consumption data as the energy consumption data of the refrigeration equipment.

In one embodiment, the first calculation unit includes:

the first acquisition subunit is used for acquiring temperature difference data of chilled water supply return water;

the first calculating subunit is used for calculating to obtain the flow rate of the chilled water according to the chilled water supply and return water temperature difference data;

the first water pressure drop calculating subunit is used for calculating the water pressure drop of the air conditioning equipment at the freezing side according to the flow of the freezing water;

the first actual lift data obtaining subunit is used for obtaining first actual lift data of the chilled water pump according to the water pressure drop of the air conditioning equipment at the chilled side;

the first real-time frequency calculating subunit is used for calculating a first real-time frequency of the chilled water pump corresponding to the chilled water flow and the first actual head data according to a preset water pump semi-empirical mathematical model;

and the first energy consumption data calculating subunit is used for calculating the chilled water flow, the first actual head data and the first energy consumption data of the chilled water pump corresponding to the first real-time frequency according to a preset semi-empirical mathematical model of the water pump.

In one embodiment, the second calculation unit includes:

the second acquisition subunit is used for acquiring cooling water supply and return water temperature difference data;

the second calculating subunit is used for calculating cooling water flow according to the cooling water supply and return water temperature difference data;

the second water pressure drop calculating subunit is used for calculating the water pressure drop of the cooling side air conditioning equipment according to the cooling water flow;

the second actual lift data obtaining subunit is used for obtaining second actual lift data of the cooling water pump according to the water pressure drop of the cooling side air conditioning equipment;

the second real-time frequency calculating subunit is used for calculating a second real-time frequency of the cooling water pump corresponding to the cooling water flow and second actual head data through a preset water pump semi-empirical mathematical model;

and the second energy consumption data calculation subunit is used for calculating the cooling water flow, the second actual head data and the second energy consumption data of the cooling water pump corresponding to the second real-time frequency according to a preset water pump semi-empirical mathematical model.

In one embodiment, the third calculation unit includes:

the third acquisition subunit is used for acquiring the flow rate of the cooling water;

the actual air quantity metering operator unit is used for calculating the actual air quantity of the cooling tower fan according to the cooling water flow and the optimal air-water ratio;

and the third energy consumption data calculating subunit is used for calculating third energy consumption data of the cooling tower corresponding to the actual air volume through a preset semi-empirical mathematical model of the cooling tower.

In one embodiment, the fourth calculation unit includes:

the fourth acquisition subunit is used for acquiring the outdoor wet bulb temperature;

the fifth acquisition subunit is used for acquiring chilled water outlet water temperature, chilled water flow, cooling water flow and cold load data;

the outlet water temperature operator unit is used for calculating the outlet water temperature of the cooling tower according to the outdoor wet bulb temperature;

the determining subunit is used for determining the outlet water temperature of the cooling tower as the inlet water temperature of the cooling water;

and the fourth energy consumption data calculation subunit is used for calculating fourth energy consumption data of the water chilling unit through a preset semi-empirical mathematical model of the water chilling unit according to the chilled water outlet temperature, the chilled water flow, the cooling water inlet temperature, the cooling water flow and the cold load data.

In one embodiment, the water pressure drop of the freezing side air conditioning equipment comprises the water pressure drop of an evaporator of a water chilling unit, the water supply and return pressure difference of a freezing main pipe, the water pressure drop of auxiliary equipment and the water pressure drop of a freezing pipeline, a valve and a pipe fitting; the first actual head data obtaining subunit includes:

and the first determining component is used for determining the sum of the water pressure drop of the water chilling unit evaporator, the water supply and return pressure difference of the freezing main pipe, the water pressure drop of the auxiliary equipment and the water pressure drops of the freezing pipeline, the valve and the pipe fitting as the first actual head data.

In one embodiment, the first real-time frequency calculation subunit includes:

the first preset frequency acquisition component is used for acquiring preset frequency;

the first calculating component is used for calculating the flow rate of the chilled water with a specific frequency according to the preset frequency;

the second calculation component is used for calculating specific frequency head data corresponding to the specific frequency chilled water flow according to a preset water pump semi-empirical calculation model;

the first current head data calculation component is used for calculating to obtain first current head data according to the specific frequency head data and the preset frequency;

a first returning component, configured to return to the step of obtaining the preset frequency when a difference between the first current head data and the first actual head data is greater than a first iteration error;

a first frequency determining component, configured to determine that the preset frequency is a first real-time frequency when a difference between the first current head data and the first actual head data is smaller than a first iteration error.

In one embodiment, the water pressure drop of the cooling side air conditioning equipment comprises the water pressure drop of a condenser of a water chilling unit, the head data of a cooling tower, the water pressure drop of auxiliary equipment and the water pressure drop of cooling pipelines, valves and pipes; the second actual head data obtaining subunit includes:

and the second determining component is used for determining the sum of the water pressure drop of the condenser of the water chilling unit, the head data of the cooling tower, the water pressure drop of the auxiliary equipment and the water pressure drops of the cooling pipeline, the valve and the pipe fittings as the second actual head data.

In one embodiment, the second real-time frequency calculation subunit comprises:

the second preset frequency acquisition component is used for acquiring the preset frequency;

the third calculating component is used for calculating the water flow of the cooling water with the specific frequency according to the preset frequency;

the fourth calculation component is used for calculating specific frequency lift data corresponding to the specific frequency cooling water flow according to a preset water pump semi-empirical calculation model;

the second current head data calculation component is used for calculating to obtain second current head data according to the specific frequency head data and the preset frequency;

a second returning component, configured to return to the step of obtaining the preset frequency when a difference between the second current head data and the second actual head data is greater than a second iteration error;

and the second frequency determining component is used for determining the preset frequency as a second real-time frequency when the difference value of the second current head data and the second actual head data is smaller than a second iteration error.

In one embodiment, the third energy consumption data calculating subunit includes:

the third acquisition assembly is used for acquiring initial energy consumption data and initial air volume of the cooling tower fan;

the first model obtaining component is used for fitting according to the initial energy consumption data and the initial air volume to obtain a semi-empirical mathematical model of the cooling tower;

and the third energy consumption data acquisition component is used for inputting the actual air volume into the semi-empirical mathematical model of the cooling tower to obtain third energy consumption data of the cooling tower.

In one embodiment, the chiller includes an evaporator, a condenser; the fourth energy consumption data calculation subunit includes:

the third determining component is used for determining the outlet water temperature of the evaporator as the outlet water temperature of the chilled water;

a fourth determining component for determining the evaporator water flow rate as a chilled water flow rate;

a fifth determining component for determining the condenser water flow rate as a cooling water flow rate;

and the fourth energy consumption data obtaining component is used for inputting the chilled water outlet temperature, the chilled water flow, the cooling water inlet temperature, the cooling water flow and the cold load data into the preset semi-empirical mathematical model of the water chilling unit to obtain the fourth energy consumption data.

In one embodiment, the fourth acquisition subunit includes:

the meteorological data acquisition component is used for acquiring meteorological data; wherein the meteorological data comprises outdoor dry bulb temperature and relative humidity;

and the conversion component is used for converting according to the outdoor dry bulb temperature and the relative humidity to obtain the outdoor wet bulb temperature.

In one embodiment, the determining module comprises:

the sequencing submodule is used for sequencing the control schemes according to the comprehensive energy efficiency ratio;

and the scheme determining submodule is used for determining the preset number of control schemes with the highest comprehensive energy efficiency ratio as the energy-saving control schemes.

For specific limitations of the energy consumption simulation device of the air conditioning system, reference may be made to the above limitations of the energy consumption simulation method of the air conditioning system, and details thereof are not repeated herein. All or part of each module in the energy consumption simulation device of the air conditioning system can be realized by software, hardware and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.

The energy consumption simulation device of the air conditioning system can be used for executing the energy consumption simulation method of the air conditioning system provided by any embodiment, and has corresponding functions and beneficial effects.

In one embodiment, a computer device is provided, which may be a terminal, and its internal structure diagram may be as shown in fig. 3. The computer device includes a processor, a memory, a network interface, a display screen, and an input device connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a method of energy consumption simulation for an air conditioning system. The display screen of the computer equipment can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, a key, a track ball or a touch pad arranged on the shell of the computer equipment, an external keyboard, a touch pad or a mouse and the like.

Those skilled in the art will appreciate that the architecture shown in fig. 3 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.

In one embodiment, a computer device is provided, comprising a memory and a processor, the memory having a computer program stored therein, the processor implementing the following steps when executing the computer program: acquiring cold load data; generating a control scheme according to the cold load data; calculating the comprehensive energy efficiency ratio of the control scheme; and determining an energy-saving control scheme in the control scheme according to the comprehensive energy efficiency ratio. In one embodiment, the processor, when executing the computer program, further performs the steps of: generating an air conditioning system design scheme according to the maximum building cold load in the cold load data; and generating a corresponding control scheme according to the design scheme of the air conditioning system.

In one embodiment, the processor, when executing the computer program, further performs the steps of: calculating the refrigerating capacity in each control scheme; calculating energy consumption data of the refrigeration equipment in each control scheme; and determining the comprehensive energy efficiency ratio of each control scheme according to the ratio of the refrigerating capacity to the energy consumption data.

In one embodiment, the processor, when executing the computer program, further performs the steps of: calculating first energy consumption data of the chilled water pump in each control scheme; calculating second energy consumption data of the cooling water pump in each control scheme; calculating third energy consumption data of the cooling tower in each control scheme; calculating fourth energy consumption data of the water chilling unit in each control scheme; and determining the sum of the first energy consumption data, the second energy consumption data, the third energy consumption data and the fourth energy consumption data as the energy consumption data of the refrigeration equipment.

In one embodiment, the processor, when executing the computer program, further performs the steps of: acquiring temperature difference data of chilled water supply and return water; calculating to obtain the flow rate of the chilled water according to the chilled water supply and return water temperature difference data; calculating the water pressure drop of the air conditioning equipment at the freezing side according to the flow of the freezing water; obtaining first actual lift data of a freezing water pump according to the water pressure drop of the freezing side air conditioning equipment; calculating a first real-time frequency of the chilled water pump corresponding to the chilled water flow and first actual head data according to a preset semi-empirical mathematical model of the water pump; and calculating the chilled water flow, the first actual lift data and the first energy consumption data of the chilled water pump corresponding to the first real-time frequency according to a preset semi-empirical mathematical model of the water pump.

In one embodiment, the processor, when executing the computer program, further performs the steps of: acquiring temperature difference data of cooling water supply and return water; calculating according to the cooling water supply and return water temperature difference data to obtain cooling water flow; calculating the water pressure drop of the air conditioning equipment at the cooling side according to the cooling water flow; obtaining second actual lift data of the cooling water pump according to the water pressure drop of the cooling side air conditioning equipment; calculating a second real-time frequency of the cooling water pump corresponding to the cooling water flow and second actual head data through a preset water pump semi-empirical mathematical model; and calculating the cooling water flow, the second actual lift data and the second energy consumption data of the cooling water pump corresponding to the second real-time frequency according to a preset semi-empirical mathematical model of the water pump.

In one embodiment, the processor, when executing the computer program, further performs the steps of: obtaining the flow rate of cooling water; calculating the actual air quantity of the fan of the cooling tower according to the cooling water flow and the optimal air-water ratio; and calculating third energy consumption data of the cooling tower corresponding to the actual air volume through a preset semi-empirical mathematical model of the cooling tower.

In one embodiment, the processor, when executing the computer program, further performs the steps of: acquiring the outdoor wet bulb temperature; obtaining chilled water outlet water temperature, chilled water flow, cooling water flow and cold load data; calculating the outlet water temperature of the cooling tower according to the outdoor wet bulb temperature; determining the outlet water temperature of the cooling tower as the inlet water temperature of cooling water; and calculating fourth energy consumption data of the water chilling unit through a preset semi-empirical mathematical model of the water chilling unit according to the outlet water temperature of the chilled water, the flow rate of the chilled water, the inlet water temperature of the cooling water, the flow rate of the cooling water and the cold load data.

In one embodiment, the water pressure drop of the freezing side air conditioning equipment comprises the water pressure drop of an evaporator of a water chilling unit, the water supply and return pressure difference of a freezing main pipe, the water pressure drop of auxiliary equipment and the water pressure drop of a freezing pipeline, a valve and a pipe fitting; the processor, when executing the computer program, further performs the steps of:

In one embodiment, the processor, when executing the computer program, further performs the steps of: acquiring a preset frequency; calculating the flow rate of the chilled water with specific frequency according to the preset frequency; calculating specific frequency lift data corresponding to the specific frequency chilled water flow according to a preset water pump semi-empirical calculation model; calculating according to the specific frequency lift data and the preset frequency to obtain first current lift data; when the difference value between the first current head data and the first actual head data is larger than a first iteration error, returning to the step of acquiring the preset frequency; and when the difference between the first current head data and the first actual head data is smaller than a first iteration error, determining the preset frequency as a first real-time frequency.

In one embodiment, the water pressure drop of the cooling side air conditioning equipment comprises the water pressure drop of a condenser of a water chilling unit, the head data of a cooling tower, the water pressure drop of auxiliary equipment and the water pressure drop of cooling pipelines, valves and pipes; the processor, when executing the computer program, further performs the steps of: and determining the sum of the water pressure drop of the condenser of the water chilling unit, the head data of the cooling tower, the water pressure drop of the auxiliary equipment and the water pressure drops of the cooling pipeline, the valve and the pipe fittings as the second actual head data.

In one embodiment, the processor, when executing the computer program, further performs the steps of: acquiring a preset frequency; calculating the water flow of the cooling water with a specific frequency according to the preset frequency; calculating specific frequency lift data corresponding to the water flow of the cooling water with specific frequency according to a preset semi-empirical calculation model of the water pump; calculating according to the specific frequency lift data and the preset frequency to obtain second current lift data; when the difference value between the second current head data and the second actual head data is larger than a second iteration error, returning to the step of acquiring the preset frequency; and when the difference value between the second current head data and the second actual head data is smaller than a second iteration error, determining the preset frequency as a second real-time frequency.

In one embodiment, the processor, when executing the computer program, further performs the steps of: acquiring initial energy consumption data and initial air volume of a fan of a cooling tower; fitting according to the initial energy consumption data and the initial air volume to obtain a semi-empirical mathematical model of the cooling tower; and inputting the actual air volume into the semi-empirical mathematical model of the cooling tower to obtain third energy consumption data of the cooling tower.

In one embodiment, the chiller includes an evaporator, a condenser; when the processor executes the computer program, the following steps are also realized to determine the outlet water temperature of the evaporator as the outlet water temperature of the chilled water; determining the evaporator water flow rate as a chilled water flow rate; determining the condenser water flow as a cooling water flow; and inputting the chilled water outlet temperature, the chilled water flow, the cooling water inlet temperature, the cooling water flow and the cold load data into the preset semi-empirical mathematical model of the water chilling unit to obtain the fourth energy consumption data.

In one embodiment, the processor, when executing the computer program, further performs the steps of: acquiring meteorological data; wherein the meteorological data comprises outdoor dry bulb temperature and relative humidity; and converting according to the outdoor dry bulb temperature and the relative humidity to obtain the outdoor wet bulb temperature.

In one embodiment, the processor, when executing the computer program, further performs the steps of: sequencing the control schemes according to the comprehensive energy efficiency ratio; and determining the preset number of control schemes with the highest comprehensive energy efficiency ratio as the energy-saving control schemes.

In one embodiment, a computer-readable storage medium is provided, having a computer program stored thereon, which when executed by a processor, performs the steps of: acquiring cold load data; generating a control scheme according to the cold load data; calculating the comprehensive energy efficiency ratio of the control scheme; and determining an energy-saving control scheme in the control scheme according to the comprehensive energy efficiency ratio.

In one embodiment, the computer program when executed by the processor further performs the steps of: generating an air conditioning system design scheme according to the maximum building cold load in the cold load data; and generating a corresponding control scheme according to the design scheme of the air conditioning system.

In one embodiment, the computer program when executed by the processor further performs the steps of: calculating the refrigerating capacity in each control scheme; calculating energy consumption data of the refrigeration equipment in each control scheme; and determining the comprehensive energy efficiency ratio of each control scheme according to the ratio of the refrigerating capacity to the energy consumption data.

In one embodiment, the computer program when executed by the processor further performs the steps of: calculating first energy consumption data of the chilled water pump in each control scheme; calculating second energy consumption data of the cooling water pump in each control scheme; calculating third energy consumption data of the cooling tower in each control scheme; calculating fourth energy consumption data of the water chilling unit in each control scheme; and determining the sum of the first energy consumption data, the second energy consumption data, the third energy consumption data and the fourth energy consumption data as the energy consumption data of the refrigeration equipment.

In one embodiment, the computer program when executed by the processor further performs the steps of: acquiring temperature difference data of chilled water supply and return water; calculating to obtain the flow rate of the chilled water according to the chilled water supply and return water temperature difference data; calculating the water pressure drop of the air conditioning equipment at the freezing side according to the flow of the freezing water; obtaining first actual lift data of a freezing water pump according to the water pressure drop of the freezing side air conditioning equipment; calculating a first real-time frequency of the chilled water pump corresponding to the chilled water flow and first actual head data according to a preset semi-empirical mathematical model of the water pump; and calculating the chilled water flow, the first actual lift data and the first energy consumption data of the chilled water pump corresponding to the first real-time frequency according to a preset semi-empirical mathematical model of the water pump.

In one embodiment, the computer program when executed by the processor further performs the steps of: acquiring temperature difference data of cooling water supply and return water; calculating according to the cooling water supply and return water temperature difference data to obtain cooling water flow; calculating the water pressure drop of the air conditioning equipment at the cooling side according to the cooling water flow; obtaining second actual lift data of the cooling water pump according to the water pressure drop of the cooling side air conditioning equipment; calculating a second real-time frequency of the cooling water pump corresponding to the cooling water flow and second actual head data through a preset water pump semi-empirical mathematical model; and calculating the cooling water flow, the second actual lift data and the second energy consumption data of the cooling water pump corresponding to the second real-time frequency according to a preset semi-empirical mathematical model of the water pump.

In one embodiment, the computer program when executed by the processor further performs the steps of: obtaining the flow rate of cooling water; calculating the actual air quantity of the fan of the cooling tower according to the cooling water flow and the optimal air-water ratio; and calculating third energy consumption data of the cooling tower corresponding to the actual air volume through a preset semi-empirical mathematical model of the cooling tower.

In one embodiment, the computer program when executed by the processor further performs the steps of: acquiring the outdoor wet bulb temperature; obtaining chilled water outlet water temperature, chilled water flow, cooling water flow and cold load data; calculating the outlet water temperature of the cooling tower according to the outdoor wet bulb temperature; determining the outlet water temperature of the cooling tower as the inlet water temperature of cooling water; and calculating fourth energy consumption data of the water chilling unit through a preset semi-empirical mathematical model of the water chilling unit according to the outlet water temperature of the chilled water, the flow rate of the chilled water, the inlet water temperature of the cooling water, the flow rate of the cooling water and the cold load data.

In one embodiment, the water pressure drop of the freezing side air conditioning equipment comprises the water pressure drop of an evaporator of a water chilling unit, the water supply and return pressure difference of a freezing main pipe, the water pressure drop of auxiliary equipment and the water pressure drop of a freezing pipeline, a valve and a pipe fitting; the computer program when executed by the processor further realizes the steps of:

In one embodiment, the computer program when executed by the processor further performs the steps of:

acquiring a preset frequency; calculating the flow rate of the chilled water with specific frequency according to the preset frequency;

In one embodiment, the water pressure drop of the cooling side air conditioning equipment comprises the water pressure drop of a condenser of a water chilling unit, the head data of a cooling tower, the water pressure drop of auxiliary equipment and the water pressure drop of cooling pipelines, valves and pipes; the computer program when executed by the processor further realizes the steps of:

acquiring a preset frequency;

In one embodiment, the chiller includes an evaporator, a condenser; the computer program when executed by the processor further realizes the steps of:

determining the evaporator water flow rate as a chilled water flow rate;

determining the condenser water flow as a cooling water flow;

It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.

The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.

Claims

1. An energy consumption simulation method of an air conditioning system is characterized by comprising the following steps:

acquiring cold load data;

generating a plurality of air conditioning system design schemes according to the maximum building cold load in the cold load data;

generating a plurality of corresponding control schemes according to the design scheme of the air conditioning system;

calculating the refrigerating capacity in each control scheme;

determining the ratio of the refrigerating capacity to the energy consumption data to determine the comprehensive energy efficiency ratio of each control scheme;

2. The method of claim 1, wherein said calculating energy consumption data for the refrigeration appliance in each of said control schemes comprises:

3. The method of claim 2, wherein calculating the first energy consumption data for the chilled water pump of each of the control schemes comprises:

acquiring temperature difference data of chilled water supply and return water;

4. The method of claim 2, wherein the calculating of the second energy consumption data for cooling the water pump in each of the control schemes comprises:

acquiring temperature difference data of cooling water supply and return water;

5. The method of claim 2, wherein said calculating third energy consumption data for the cooling tower in each of said control schemes comprises:

obtaining the flow rate of cooling water;

6. The method of claim 2, wherein the calculating fourth energy consumption data for the chiller in each of the control schemes comprises:

acquiring the outdoor wet bulb temperature;

7. The method of claim 3, wherein the water pressure drop of the freezing side air conditioning equipment comprises the water pressure drop of a water chilling unit evaporator, the water supply and return pressure difference of a freezing main pipe, the water pressure drop of auxiliary equipment and the water pressure drop of a freezing pipeline, a valve and a pipe fitting; according to freezing side air conditioning equipment's water pressure drop, obtain freezing water pump's first actual lift data, include:

8. The method according to claim 3, wherein the calculating the first real-time frequency of the chilled water pump corresponding to the chilled water flow rate and the first actual head data according to a preset semi-empirical mathematical model of the water pump comprises:

acquiring a preset frequency;

9. The method of claim 4, wherein the water pressure drop of the cooling side air conditioning equipment comprises the water pressure drop of a condenser of a water chilling unit, the head data of a cooling tower, the water pressure drop of auxiliary equipment and the water pressure drop of cooling pipelines, valves and pipes; according to cooling side air conditioning equipment's water pressure drop, obtain cooling water pump's second actual lift data, include:

10. The method according to claim 4, wherein the calculating the second real-time frequency of the cooling water pump corresponding to the cooling water flow and the second actual head data through a preset semi-empirical mathematical model of the water pump comprises:

acquiring a preset frequency;

11. The method according to claim 5, wherein the calculating of the third energy consumption data of the cooling tower corresponding to the actual air volume through a preset semi-empirical mathematical model of the cooling tower comprises:

12. The method of claim 6, wherein the chiller comprises an evaporator, a condenser; and calculating fourth energy consumption data of the water chilling unit through a preset semi-empirical mathematical model of the water chilling unit according to the chilled water outlet temperature, the chilled water flow, the cooling water inlet temperature, the cooling water flow and the cold load data, wherein the fourth energy consumption data comprises the following steps:

determining the evaporator water flow rate as a chilled water flow rate;

determining the condenser water flow as a cooling water flow;

13. The method of claim 6, wherein said obtaining an outdoor wet bulb temperature comprises:

14. The method according to claim 1, wherein the determining an energy saving control scheme among the control schemes according to the integrated energy efficiency ratio includes:

15. An energy consumption simulation device of an air conditioning system, comprising:

the acquisition module is used for acquiring cold load data;

the generating module is used for generating a plurality of air conditioning system design schemes according to the maximum building cold load in the cold load data; generating a plurality of corresponding control schemes according to the design scheme of the air conditioning system;

the calculation module is used for calculating the refrigerating capacity in each control scheme; calculating energy consumption data of the refrigeration equipment in each control scheme; determining the ratio of the refrigerating capacity to the energy consumption data to determine the comprehensive energy efficiency ratio of each control scheme;

16. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor when executing the computer program implements the steps of the method for energy consumption simulation of an air conditioning system according to any of claims 1 to 14.

17. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method for energy consumption simulation of an air conditioning system according to any one of claims 1 to 14.