CN114117773A - Simulation method and system for all-air conditioning system - Google Patents
Simulation method and system for all-air conditioning system Download PDFInfo
- Publication number
- CN114117773A CN114117773A CN202111388037.2A CN202111388037A CN114117773A CN 114117773 A CN114117773 A CN 114117773A CN 202111388037 A CN202111388037 A CN 202111388037A CN 114117773 A CN114117773 A CN 114117773A
- Authority
- CN
- China
- Prior art keywords
- air
- requirements
- capacity
- refrigerating capacity
- tail end
- 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.)
- Withdrawn
Links
- 238000004088 simulation Methods 0.000 title claims abstract description 71
- 238000004378 air conditioning Methods 0.000 title claims abstract description 54
- 238000000034 method Methods 0.000 title claims abstract description 23
- 238000004364 calculation method Methods 0.000 claims abstract description 53
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims abstract description 19
- 238000012795 verification Methods 0.000 claims description 8
- 238000001816 cooling Methods 0.000 claims description 7
- 238000005057 refrigeration Methods 0.000 claims description 5
- 238000013500 data storage Methods 0.000 claims description 4
- 238000013079 data visualisation Methods 0.000 claims description 4
- 230000000007 visual effect Effects 0.000 claims description 4
- 238000013461 design Methods 0.000 abstract description 18
- 230000003044 adaptive effect Effects 0.000 abstract description 3
- 238000007791 dehumidification Methods 0.000 description 4
- 238000011160 research Methods 0.000 description 3
- 238000011161 development Methods 0.000 description 2
- 239000000498 cooling water Substances 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000007710 freezing Methods 0.000 description 1
- 230000008014 freezing Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F3/00—Air-conditioning systems in which conditioned primary air is supplied from one or more central stations to distributing units in the rooms or spaces where it may receive secondary treatment; Apparatus specially designed for such systems
- F24F3/044—Systems in which all treatment is given in the central station, i.e. all-air systems
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2119/00—Details relating to the type or aim of the analysis or the optimisation
- G06F2119/08—Thermal analysis or thermal optimisation
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Computer Hardware Design (AREA)
- Evolutionary Computation (AREA)
- Geometry (AREA)
- General Physics & Mathematics (AREA)
- Chemical & Material Sciences (AREA)
- Combustion & Propulsion (AREA)
- Mechanical Engineering (AREA)
- Air Conditioning Control Device (AREA)
Abstract
The invention discloses a simulation method and a system of an all-air conditioning system, wherein the method comprises the following steps: carrying out simulation calculation on the terminal refrigerating capacity requirement in the building according to the hourly load data of the whole year of the building, and carrying out model selection on terminal equipment according to the terminal refrigerating capacity requirement obtained by the simulation calculation; and simulating and selecting the type of the air-conditioning cold station equipment according to the cold load and the chilled water flow required by the tail end equipment after the type selection. By adopting the technical scheme of the invention, the design and the model selection of the all-air conditioning system can be more adaptive to the actual requirement.
Description
Technical Field
The invention relates to the field of central air conditioners, in particular to a simulation method and system for an all-air conditioning system.
Background
In order to meet the dehumidification requirement, the traditional central air conditioner adopts 7 ℃ water supply for chilled water and 12 ℃ water return design, the energy efficiency of a water chilling unit is limited, the system operation energy efficiency is difficult to further improve, the energy efficiency of most refrigerating machine rooms (comprising a refrigerator, a refrigerating pump, a cooling tower and other equipment) is below 3.5, and the energy efficiency of an air conditioning system (comprising the refrigerating machine rooms and the tail end of an air conditioner) is only below 2.5.
The research on the medium-temperature large-temperature-difference air conditioning system takes the refrigeration water supply at the temperature higher than 7 ℃ and the supply and return water temperature difference greater than 5 ℃ as the optimization design target of system parameters, and theoretically, the operation energy efficiency of a refrigeration machine room and the air conditioning system can be improved. Along with the increase of the water supply temperature and the increase of the temperature difference, the dehumidification capacity of the tail end is weakened, and the system can meet the requirements of areas with lower dehumidification requirements.
At present, the traditional air conditioning system design scheme is designed and selected according to a typical working condition point, is simple and convenient on the whole, has small calculated amount and is suitable for designers. However, the calculation is too rough, so that the deviation between the operation of the air conditioning system and the actual operation is too large, the condition of 'large horse pulls a trolley' is often caused, and the operation cost, the initial investment and the like of the air conditioning system are too high. Therefore, the development of the high-efficiency air conditioning system is imperative, and a multi-scheme and multi-strategy simulation platform with high estimation accuracy is lacked in the popularization and development of the design and operation stage of the high-efficiency air conditioning system.
Disclosure of Invention
The invention mainly aims to provide a simulation method and a simulation system for an all-air conditioning system, and aims to provide tools for the model selection and design scheme of the all-air conditioning system, improve the matching degree of the design scheme of a central air conditioning system and the actual operating environment and reduce the operating cost of a center from the design stage.
In an embodiment of the present invention, a simulation method for an all-air conditioning system is provided, which includes:
carrying out simulation calculation on the terminal refrigerating capacity requirement in the building according to the hourly load data of the whole year of the building, and carrying out model selection on terminal equipment according to the terminal refrigerating capacity requirement obtained by the simulation calculation;
and simulating and selecting the type of the air-conditioning cold station equipment according to the cold load and the chilled water flow required by the tail end equipment after the type selection.
In the embodiment of the invention, the simulation calculation of the terminal refrigerating capacity demand in the building according to the annual hourly load data of the building comprises the following steps:
acquiring time-by-time loads and outdoor meteorological parameters of a building all year round;
assuming a fresh air ratio, calculating a mixed air state point parameter and an air supply state point parameter according to the acquired hourly load of the whole year of the building and the outdoor meteorological parameters;
and performing surface cooler thermal calculation according to the air supply state point parameters and the set surface cooler mechanical dew point relative humidity to obtain the requirements of refrigerating capacity and dehumidifying capacity at the theoretical calculation end.
In the embodiment of the invention, the annual hourly load of the building comprises indoor sensible heat and latent heat load of the building and fresh air sensible heat and latent heat load.
In the embodiment of the invention, the method for calculating the wind mixing state point parameter and the air supply state point parameter according to the acquired time-by-time load of the whole year of the building and the outdoor meteorological parameters by assuming the fresh air ratio comprises the following steps:
determining a heat-humidity ratio according to indoor sensible heat load and latent heat load;
calculating fresh air volume by utilizing fresh air sensible heat, latent heat load and indoor and outdoor temperature and humidity;
assuming a fresh air ratio, determining the air supply amount and the air return amount;
calculating a mixed air state point parameter by using the return air volume and the fresh air volume;
and determining air supply state point parameters by utilizing the heat-humidity ratio, the indoor temperature and humidity and the air supply quantity.
In the embodiment of the invention, the type selection of the terminal equipment according to the terminal refrigerating capacity requirement obtained by simulation calculation comprises the following steps:
selecting structural parameters of the surface cooler according to the requirements of refrigerating capacity and dehumidifying capacity of the theoretical calculation tail end;
substituting the mixed air state point parameters into the surface cooler thermal calculation after model selection to obtain the actual refrigerating capacity and dehumidifying capacity requirements of the surface cooler;
if the requirements of the refrigerating capacity and the dehumidifying capacity at the theoretical tail end cannot meet the requirements of the actual refrigerating capacity and the dehumidifying capacity of the surface cooler, the fresh air ratio is assumed again for iteration until the requirements of the refrigerating capacity and the dehumidifying capacity at the theoretical tail end meet the requirements of the actual refrigerating capacity and the dehumidifying capacity of the surface cooler;
if the requirements of refrigerating capacity and dehumidifying capacity at the theoretical tail end cannot meet the requirements of actual refrigerating capacity and dehumidifying capacity of the surface cooler after the new air ratio is iterated, reselecting the structural parameters of the surface cooler;
and if the requirements of the refrigerating capacity and the dehumidifying capacity at the theoretical tail end meet the requirements of the actual refrigerating capacity and the dehumidifying capacity of the surface air cooler, selecting the model of the combined cabinet of the air conditioner internal unit according to the structural parameters of the surface air cooler.
In an embodiment of the present invention, there is also provided an all-air conditioning system simulation system, including:
the terminal simulation model selection module is used for performing simulation calculation on terminal refrigerating capacity requirements in the building according to the hourly load data of the whole year of the building and performing model selection on terminal equipment according to the terminal refrigerating capacity requirements obtained through the simulation calculation;
and the cold station simulation model selection module is used for simulating and selecting the air-conditioning cold station equipment according to the cold load and the chilled water flow required by the tail end equipment after model selection.
In the embodiment of the present invention, the simulation system of the all-air conditioning system further includes:
and the data storage and visualization module is used for storing simulation calculation results of the terminal simulation model selection module and the cold station simulation model selection module and performing visual display.
In the embodiment of the present invention, the terminal simulation model selection module includes:
the state point parameter calculating unit is used for calculating a mixed air state point parameter and an air supply state point parameter according to the assumed fresh air ratio, the annual hourly load of the building and the outdoor meteorological parameters;
the tail end theoretical demand calculating unit is used for carrying out surface cooler thermal calculation according to the air supply state point parameters and the set surface cooler mechanical dew point relative humidity to obtain the demands of refrigerating capacity and dehumidifying capacity of the theoretical calculation tail end;
and the tail end type selection verification unit is used for performing type selection and verification on the air conditioner tail end equipment according to the requirements of theoretically calculating the refrigerating capacity and the dehumidifying capacity of the tail end.
In the embodiment of the invention, the annual hourly load of the building comprises indoor sensible heat and latent heat load of the building and fresh air sensible heat and latent heat load.
In the embodiment of the present invention, the process of calculating the air mixing state point parameter and the air supply state point parameter by the state point parameter calculation unit includes:
determining a heat-humidity ratio according to indoor sensible heat load and latent heat load;
calculating fresh air volume by utilizing fresh air sensible heat, latent heat load and indoor and outdoor temperature and humidity;
assuming a fresh air ratio, determining the air supply amount and the air return amount;
calculating a mixed air state point parameter by using the return air volume and the fresh air volume;
and determining air supply state point parameters by utilizing the heat-humidity ratio, the indoor temperature and humidity and the air supply quantity.
In the embodiment of the present invention, the selecting and verifying unit of the terminal device performs the selecting and verifying on the terminal device, including:
selecting structural parameters of the surface cooler according to the requirements of refrigerating capacity and dehumidifying capacity of the theoretical calculation tail end;
substituting the mixed air state point parameters into the surface cooler thermal calculation after model selection to obtain the actual refrigerating capacity and dehumidifying capacity requirements of the surface cooler;
if the requirements of the refrigerating capacity and the dehumidifying capacity at the theoretical tail end cannot meet the requirements of the actual refrigerating capacity and the dehumidifying capacity of the surface cooler, the fresh air ratio is assumed again for iteration until the requirements of the refrigerating capacity and the dehumidifying capacity at the theoretical tail end meet the requirements of the actual refrigerating capacity and the dehumidifying capacity of the surface cooler;
if the requirements of refrigerating capacity and dehumidifying capacity at the theoretical tail end cannot meet the requirements of actual refrigerating capacity and dehumidifying capacity of the surface cooler after the new air ratio is iterated, reselecting the structural parameters of the surface cooler;
and if the requirements of the refrigerating capacity and the dehumidifying capacity at the theoretical tail end meet the requirements of the actual refrigerating capacity and the dehumidifying capacity of the surface air cooler, selecting the model of the combined cabinet of the air conditioner internal unit according to the structural parameters of the surface air cooler.
Compared with the prior art, the simulation method and the simulation system for the whole air conditioning system are adopted, the whole air system is designed and selected from time-by-time building load data of a building, the time-by-time building load of the whole year is taken as a working point, the design scheme of the whole air system and the design scheme of the cold source system are optimized by combining the simulation of the cold source system, a tool is provided for providing the efficient and energy-saving whole air conditioning system and the design scheme, the design and selection of the whole air conditioning system can be more adaptive to the actual requirement, and the simulation method and the simulation system for the whole air conditioning system can also be used for the design research of the medium-temperature and high-temperature air conditioning system.
Drawings
Fig. 1 is a flowchart of a simulation method of an all-air conditioning system according to an embodiment of the present invention.
FIG. 2 is a flowchart of end-point simulation model selection according to an embodiment of the present invention.
Fig. 3 is a schematic structural diagram of a simulation system of an all-air conditioning system according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be described in detail with reference to the accompanying drawings and examples. It should be understood that the following specific examples are only for illustrating the present invention and are not to be construed as limiting the present invention.
As shown in fig. 1, in an embodiment of the present invention, a simulation method for an all-air conditioning system is provided, which includes:
step S1: carrying out simulation calculation on the terminal refrigerating capacity requirement in the building according to the hourly load data of the whole year of the building, and carrying out model selection on terminal equipment according to the terminal refrigerating capacity requirement obtained by the simulation calculation;
step S2: and simulating and selecting the type of the air-conditioning cold station equipment according to the cold load and the chilled water flow required by the tail end equipment after the type selection.
It should be noted that the end equipment of the air conditioner is usually an air conditioner indoor unit combination cabinet, which is used for exchanging heat in a building room, and the main heat exchange function is performed in a surface air cooler of the air conditioner indoor unit. The air-conditioning cold station equipment generally comprises a refrigeration host, a chilled water pump, a cooling water pump, corresponding pipelines and a controller, wherein the surface air coolers of the air-conditioning indoor unit provide cooling load.
Firstly, in step S1, the air output and air mixing state parameters are calculated by using various loads of the building and meteorological parameters as inputs; then, taking the air volume and the air mixing state parameters as iterative input for the surface air cooler, and outputting parameters such as cold load, water flow, air volume, air supply state parameters, air volume and the like born by the tail end equipment and the type selection of the tail end equipment; and finally, in step S2, the parameters of cold station equipment model selection, total system energy efficiency, economic indexes and the like are output by taking the cold load, the water flow and the freezing water supply and return temperature as input.
Specifically, as shown in fig. 2, step S1 includes:
acquiring time-by-time loads and outdoor meteorological parameters of a building all year round; the annual hourly load of the building comprises indoor sensible heat and latent heat load of the building, fresh air sensible heat and latent heat load;
determining a heat-humidity ratio according to indoor sensible heat load and latent heat load;
calculating fresh air volume by utilizing fresh air sensible heat, latent heat load and indoor and outdoor temperature and humidity;
assuming a fresh air ratio, determining the air supply quantity and the air return quantity according to the fresh air ratio; wherein the range of the fresh air ratio is 0-100%;
calculating a mixed air state point parameter by using the return air volume and the fresh air volume; the mixed air state point parameters comprise an enthalpy value and a moisture content;
determining air supply state point parameters by utilizing the heat-humidity ratio, indoor temperature and humidity and air supply quantity; the air supply state point parameters comprise an enthalpy value and a moisture content;
performing surface cooler thermal calculation according to the air supply state point parameter and the set surface cooler mechanical dew point relative humidity to obtain the requirements of refrigerating capacity and dehumidifying capacity of the theoretical calculation tail end;
selecting structural parameters of the surface cooler according to the requirements of refrigerating capacity and dehumidifying capacity of the theoretical calculation tail end;
substituting the mixed air state point parameters into the surface cooler thermal calculation after model selection to obtain the actual refrigerating capacity and dehumidifying capacity requirements of the surface cooler;
if the requirements of the refrigerating capacity and the dehumidifying capacity at the theoretical tail end cannot meet the requirements of the actual refrigerating capacity and the dehumidifying capacity of the surface cooler, the fresh air ratio is assumed again for iteration until the requirements of the refrigerating capacity and the dehumidifying capacity at the theoretical tail end meet the requirements of the actual refrigerating capacity and the dehumidifying capacity of the surface cooler;
if the requirements of refrigerating capacity and dehumidifying capacity at the theoretical tail end cannot meet the requirements of actual refrigerating capacity and dehumidifying capacity of the surface cooler after the new air ratio is iterated, reselecting the structural parameters of the surface cooler;
and if the requirements of the refrigerating capacity and the dehumidifying capacity at the theoretical tail end meet the requirements of the actual refrigerating capacity and the dehumidifying capacity of the surface air cooler, selecting the model of the combined cabinet of the indoor unit of the air conditioner according to the structural parameters of the surface air cooler, and guiding the actual refrigerating capacity and the dehumidifying capacity of the surface air cooler into an air conditioner cold station for simulation and model selection.
It should be noted that, in step S1, the terminal cooling capacity requirement in the building is subjected to simulation calculation according to the hourly load data of the whole year of the building, so that the hourly cooling capacity requirement of the terminal whole year can be obtained, when the surface air cooler is subjected to model selection, whether the cooling capacity requirement in all time periods of the whole year is met can be selected, the cooling capacity requirement in most time periods can be selected according to actual requirements, and some extreme time periods which occur occasionally are ignored, so that the purposes of reducing the cost of the air conditioning system and saving energy are achieved.
As shown in fig. 3, in the embodiment of the present invention, an all-air conditioning system simulation system is provided, which includes a terminal simulation model selection module 1, a cold station simulation model selection module 2, and a data storage and visualization module 3.
The terminal simulation model selection module 1 is used for performing simulation calculation on terminal refrigerating output requirements in the building according to the time-by-time load data of the building all the year round and performing model selection on terminal equipment according to the terminal refrigerating output requirements obtained through the simulation calculation. And the cold station simulation model selection module 2 is used for simulating and selecting the models of the air-conditioning cold station equipment according to the cold load and the chilled water flow needed by the tail end equipment after model selection. And the data storage and visualization module 3 is used for storing simulation calculation results of the terminal simulation model selection module 1 and the cold station simulation model selection module 2 and performing visual display. The visual result can show indexes such as indoor satisfaction, system energy efficiency and economy of each scheme, each scheme has a determined equipment model, a user can select the scheme according to the willingness of saving cost or energy, and when the system is automatically selected by default, the scheme with the highest system energy efficiency can be preferentially recommended.
In the embodiment of the present invention, the terminal simulation model selection module 1 includes a state point parameter calculation unit 11, a terminal theoretical requirement calculation unit 12, and a terminal model selection verification unit 13. The following description will be made separately.
And the state point parameter calculating unit 11 is used for calculating the air mixing state point parameter and the air supply state point parameter according to the assumed fresh air ratio, the hourly load of the building all the year and the outdoor meteorological parameters. The annual hourly load of the building comprises indoor sensible heat and latent heat load of the building and fresh air sensible heat and latent heat load.
The process of calculating the air mixing state point parameter and the air supply state point parameter by the state point parameter calculation unit 11 includes:
determining a heat-humidity ratio according to indoor sensible heat load and latent heat load;
calculating fresh air volume by utilizing fresh air sensible heat, latent heat load and indoor and outdoor temperature and humidity;
assuming a fresh air ratio, determining the air supply amount and the air return amount;
calculating a mixed air state point parameter by using the return air volume and the fresh air volume;
and determining air supply state point parameters by utilizing the heat-humidity ratio, the indoor temperature and humidity and the air supply quantity.
And the terminal theoretical demand calculation unit 12 is configured to perform surface cooler thermal calculation according to the air supply state point parameter and the set surface cooler mechanical dew point relative humidity, so as to obtain demands of refrigerating capacity and dehumidifying capacity at the terminal of theoretical calculation.
The terminal type selection verification unit 13 is configured to select and verify the type of the air conditioning terminal device according to the requirements of theoretically calculating the refrigeration capacity and the dehumidification capacity at the terminal, and the specific process includes:
selecting structural parameters of the surface cooler according to the requirements of refrigerating capacity and dehumidifying capacity of the theoretical calculation tail end;
substituting the mixed air state point parameters into the surface cooler thermal calculation after model selection to obtain the actual refrigerating capacity and dehumidifying capacity requirements of the surface cooler;
if the requirements of the refrigerating capacity and the dehumidifying capacity at the theoretical tail end cannot meet the requirements of the actual refrigerating capacity and the dehumidifying capacity of the surface cooler, the fresh air ratio is assumed again for iteration until the requirements of the refrigerating capacity and the dehumidifying capacity at the theoretical tail end meet the requirements of the actual refrigerating capacity and the dehumidifying capacity of the surface cooler;
if the requirements of refrigerating capacity and dehumidifying capacity at the theoretical tail end cannot meet the requirements of actual refrigerating capacity and dehumidifying capacity of the surface cooler after the new air ratio is iterated, reselecting the structural parameters of the surface cooler;
and if the requirements of the refrigerating capacity and the dehumidifying capacity at the theoretical tail end meet the requirements of the actual refrigerating capacity and the dehumidifying capacity of the surface air cooler, selecting the model of the combined cabinet of the air conditioner internal unit according to the structural parameters of the surface air cooler.
In summary, by adopting the simulation method and system of the total air conditioning system, the total air system is designed and selected from the time-by-time load data of the building and the time-by-time building load of the whole year as the working point, and the design scheme of the total air system and the design scheme of the cold source system are optimized by combining the simulation of the cold source system, so that a tool is provided for providing the high-efficiency and energy-saving total air conditioning system and the design scheme, the design and selection of the total air conditioning system can be more adaptive to the actual demand, and the simulation method and system can also be used for the design and research of the medium-temperature water large temperature difference air conditioning system.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the scope of the present invention, and all modifications and equivalents of the present invention, which are made by the contents of the present specification and the accompanying drawings, or directly/indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (11)
1. A simulation method of an all-air conditioning system is characterized by comprising the following steps:
carrying out simulation calculation on the terminal refrigerating capacity requirement in the building according to the hourly load data of the whole year of the building, and carrying out model selection on terminal equipment according to the terminal refrigerating capacity requirement obtained by the simulation calculation;
and simulating and selecting the type of the air-conditioning cold station equipment according to the cold load and the chilled water flow required by the tail end equipment after the type selection.
2. The total air conditioning system simulation method of claim 1, wherein the simulation calculation of the end cooling capacity requirement in the building according to the year-round hourly load data of the building comprises:
acquiring time-by-time loads and outdoor meteorological parameters of a building all year round;
assuming a fresh air ratio, calculating a mixed air state point parameter and an air supply state point parameter according to the acquired hourly load of the whole year of the building and the outdoor meteorological parameters;
and performing surface cooler thermal calculation according to the air supply state point parameters and the set surface cooler mechanical dew point relative humidity to obtain the requirements of refrigerating capacity and dehumidifying capacity at the theoretical calculation end.
3. The simulation method of the all-air conditioning system according to claim 2, wherein the year-round hourly loads of the building include indoor sensible heat and latent heat loads of the building and fresh air sensible heat and latent heat loads.
4. The total air conditioning system simulation method of claim 3, wherein calculating the air mixing state point parameter and the air supply state point parameter based on the acquired time-by-time loads and outdoor meteorological parameters throughout the year of the building assuming the fresh air ratio comprises:
determining a heat-humidity ratio according to indoor sensible heat load and latent heat load;
calculating fresh air volume by utilizing fresh air sensible heat, latent heat load and indoor and outdoor temperature and humidity;
assuming a fresh air ratio, determining the air supply amount and the air return amount;
calculating a mixed air state point parameter by using the return air volume and the fresh air volume;
and determining air supply state point parameters by utilizing the heat-humidity ratio, the indoor temperature and humidity and the air supply quantity.
5. The total air conditioning system simulation method of claim 2, wherein the type selection of the end device based on the end refrigeration capacity requirement obtained by the simulation calculation comprises:
selecting structural parameters of the surface cooler according to the requirements of refrigerating capacity and dehumidifying capacity of the theoretical calculation tail end;
substituting the mixed air state point parameters into the surface cooler thermal calculation after model selection to obtain the actual refrigerating capacity and dehumidifying capacity requirements of the surface cooler;
if the requirements of the refrigerating capacity and the dehumidifying capacity at the theoretical tail end cannot meet the requirements of the actual refrigerating capacity and the dehumidifying capacity of the surface cooler, the fresh air ratio is assumed again for iteration until the requirements of the refrigerating capacity and the dehumidifying capacity at the theoretical tail end meet the requirements of the actual refrigerating capacity and the dehumidifying capacity of the surface cooler;
if the requirements of refrigerating capacity and dehumidifying capacity at the theoretical tail end cannot meet the requirements of actual refrigerating capacity and dehumidifying capacity of the surface cooler after the new air ratio is iterated, reselecting the structural parameters of the surface cooler;
and if the requirements of the refrigerating capacity and the dehumidifying capacity at the theoretical tail end meet the requirements of the actual refrigerating capacity and the dehumidifying capacity of the surface air cooler, selecting the model of the combined cabinet of the air conditioner internal unit according to the structural parameters of the surface air cooler.
6. An all-air conditioning system simulation system, comprising:
the terminal simulation model selection module is used for performing simulation calculation on terminal refrigerating capacity requirements in the building according to the hourly load data of the whole year of the building and performing model selection on terminal equipment according to the terminal refrigerating capacity requirements obtained through the simulation calculation;
and the cold station simulation model selection module is used for simulating and selecting the air-conditioning cold station equipment according to the cold load and the chilled water flow required by the tail end equipment after model selection.
7. The air conditioning system emulation system of claim 6, further comprising:
and the data storage and visualization module is used for storing simulation calculation results of the terminal simulation model selection module and the cold station simulation model selection module and performing visual display.
8. The air conditioning system emulation system of claim 6, wherein the terminal emulation mode selection module comprises:
the state point parameter calculating unit is used for calculating a mixed air state point parameter and an air supply state point parameter according to the assumed fresh air ratio, the annual hourly load of the building and the outdoor meteorological parameters;
the tail end theoretical demand calculating unit is used for carrying out surface cooler thermal calculation according to the air supply state point parameters and the set surface cooler mechanical dew point relative humidity to obtain the demands of refrigerating capacity and dehumidifying capacity of the theoretical calculation tail end;
and the tail end type selection verification unit is used for performing type selection and verification on the air conditioner tail end equipment according to the requirements of theoretically calculating the refrigerating capacity and the dehumidifying capacity of the tail end.
9. The air conditioning system simulation system according to claim 8, wherein the year-round hourly loads of the building include indoor sensible heat and latent heat loads of the building and fresh air sensible heat and latent heat loads of the building.
10. The system simulation system of an all-air conditioning system according to claim 9, wherein the process of calculating the air mixing state point parameter and the air supply state point parameter by the state point parameter calculation unit includes:
determining a heat-humidity ratio according to indoor sensible heat load and latent heat load;
calculating fresh air volume by utilizing fresh air sensible heat, latent heat load and indoor and outdoor temperature and humidity;
assuming a fresh air ratio, determining the air supply amount and the air return amount;
calculating a mixed air state point parameter by using the return air volume and the fresh air volume;
and determining air supply state point parameters by utilizing the heat-humidity ratio, the indoor temperature and humidity and the air supply quantity.
11. The air conditioning system simulation system according to claim 8, wherein the terminal type selection verification unit performs type selection and verification on the terminal device, comprising:
selecting structural parameters of the surface cooler according to the requirements of refrigerating capacity and dehumidifying capacity of the theoretical calculation tail end;
substituting the mixed air state point parameters into the surface cooler thermal calculation after model selection to obtain the actual refrigerating capacity and dehumidifying capacity requirements of the surface cooler;
if the requirements of the refrigerating capacity and the dehumidifying capacity at the theoretical tail end cannot meet the requirements of the actual refrigerating capacity and the dehumidifying capacity of the surface cooler, the fresh air ratio is assumed again for iteration until the requirements of the refrigerating capacity and the dehumidifying capacity at the theoretical tail end meet the requirements of the actual refrigerating capacity and the dehumidifying capacity of the surface cooler;
if the requirements of refrigerating capacity and dehumidifying capacity at the theoretical tail end cannot meet the requirements of actual refrigerating capacity and dehumidifying capacity of the surface cooler after the new air ratio is iterated, reselecting the structural parameters of the surface cooler;
and if the requirements of the refrigerating capacity and the dehumidifying capacity at the theoretical tail end meet the requirements of the actual refrigerating capacity and the dehumidifying capacity of the surface air cooler, selecting the model of the combined cabinet of the air conditioner internal unit according to the structural parameters of the surface air cooler.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111388037.2A CN114117773A (en) | 2021-11-22 | 2021-11-22 | Simulation method and system for all-air conditioning system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111388037.2A CN114117773A (en) | 2021-11-22 | 2021-11-22 | Simulation method and system for all-air conditioning system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN114117773A true CN114117773A (en) | 2022-03-01 |
Family
ID=80439379
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111388037.2A Withdrawn CN114117773A (en) | 2021-11-22 | 2021-11-22 | Simulation method and system for all-air conditioning system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114117773A (en) |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106446374A (en) * | 2016-09-12 | 2017-02-22 | 珠海格力电器股份有限公司 | Model selection method and system for air conditioner terminal equipment |
| 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 |
-
2021
- 2021-11-22 CN CN202111388037.2A patent/CN114117773A/en not_active Withdrawn
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106446374A (en) * | 2016-09-12 | 2017-02-22 | 珠海格力电器股份有限公司 | Model selection method and system for air conditioner terminal equipment |
| 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 (3)
| Title |
|---|
| 刘晓茹 等: "变风量空调系统冷热抵消问题浅析", 《第6 届全国建筑环境与设备技术交流大会文集》, 30 November 2015 (2015-11-30), pages 46 - 50 * |
| 刘权熠 等: "基于冷却塔辅助换热的地源热泵空调设计探讨", 《建筑热能通风空调》, vol. 39, no. 3, 25 March 2020 (2020-03-25), pages 43 - 45 * |
| 制冷知识与技术: "最详细的暖通空调设计步骤，你值得拥有！", HTTPS：//ZHUANLAN.ZHIHU.COM/P/52961354, 24 December 2018 (2018-12-24), pages 1 - 7 * |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Agrawal et al. | Transient simulation of wet cooling strategies for a data center in worldwide climate zones | |
| CN102042656A (en) | Air-conditioning apparatus control device and refrigerating apparatus control device | |
| Aktacir et al. | Life-cycle cost analysis for constant-air-volume and variable-air-volume air-conditioning systems | |
| CN201652646U (en) | Dynamic ice storage system | |
| JP2017101862A (en) | Heat source control system and control method | |
| CN118396432B (en) | Regional cooling system energy efficiency evaluation method and device and electronic equipment | |
| CN117109158A (en) | Energy efficiency optimization method and device for air conditioning system | |
| Fan et al. | Design optimization and energy performance evaluation of a dedicated outdoor air system with dual cooling sources | |
| CN112710058B (en) | Excel-based air conditioner model selection method | |
| CN118408267B (en) | Air conditioner refrigerating system optimization method and device and computer equipment | |
| CN111594984A (en) | A central air-conditioning full-link coordinated control system and control method | |
| CN206338887U (en) | Cold Storage Mobile Air Conditioning System | |
| Zeoli et al. | Feasibility analysis of desiccant evaporative cooling technologies in various climate conditions: Present and future potential | |
| CN105135552A (en) | Air conditioning system | |
| CN114117773A (en) | Simulation method and system for all-air conditioning system | |
| CN115130796A (en) | Selection method, device, equipment and storage medium of air conditioning system | |
| CN101672510B (en) | Method for simulating and monitoring optimal operation of air-conditioning system | |
| JP2020183856A (en) | Machine learning equipment, air conditioning system and machine learning method | |
| Alessio et al. | All-air system and radiant floor for heating and cooling in residential buildings: A simulation-based analysis | |
| CN114110980A (en) | Fresh air equipment control method and device, fresh air equipment and storage medium | |
| CN115130270A (en) | Model selection method and device of hybrid air conditioning system | |
| CN205014518U (en) | Air conditioning system | |
| Zhenyu et al. | Global optimization model for HVAC systems in public commercial buildings and its schedulable potential evaluation | |
| CN110986202A (en) | Precisely controlled working fluid direct expansion floor heating and cooling air duct machine dehumidification device | |
| CN215490066U (en) | Central air conditioning cooling system suitable for transitional seasons in central China |
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 | ||
| WW01 | Invention patent application withdrawn after publication | ||
| WW01 | Invention patent application withdrawn after publication |
Application publication date: 20220301 |