CN108241908B - New method for model selection of outdoor unit of multi-split air conditioning system - Google Patents
New method for model selection of outdoor unit of multi-split air conditioning system Download PDFInfo
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Abstract
The invention provides a method for selecting the type of an outdoor unit of a multi-split air conditioning system, which comprises the following steps: calculating a hourly air conditioner cold load value and a cold load value at each moment of the whole year, and determining a system partition and a whole year cold load time statistical table; selecting an optional outdoor unit model selection scheme according to the total cold load value of the system; determining the refrigerating capacity, the power consumption and the energy efficiency of the outdoor units under the condition of partial load; determining an operation strategy of each outdoor unit model selection scheme under the condition of annual partial load according to the annual total partial load release condition and the energy efficiency of each outdoor unit under the condition of partial load; and calculating the annual air conditioner energy consumption of the model selection scheme of each outdoor unit. And selecting the model selection scheme with the lowest energy consumption as the optimal scheme for designing the air conditioning system. The invention provides a novel method for selecting the outdoor unit type of a multi-split air-conditioning system, which enables the multi-split air-conditioning system to be more energy-saving.
Description
Technical Field
The invention relates to the technical field of computer-aided calculation, in particular to a novel method for selecting the type of an outdoor unit of a multi-split air conditioning system.
Background
The model selection of the outdoor unit of the multi-split air conditioning system has not been paid attention by designers for many years, and the model selection is directly carried out according to the total cold load value of the air conditioner of each functional partition and the equipment parameters of each manufacturer as long as the refrigerating capacity on the equipment parameters is more than or equal to the total cold load.
Since the energy efficiency of outdoor units with various capacities is different, especially under the condition of partial load, the conventional model selection method does not consider the difference, so most of the designed multi-split air conditioning systems are not the most energy-saving.
Disclosure of Invention
The present invention provides the following technical solutions to overcome the above-mentioned drawbacks in the prior art.
A method for selecting the type of an outdoor unit of a multi-split air conditioning system is characterized by comprising the following steps:
s1, calculating the hourly air-conditioning cold load value and the annual cold load value at each moment, and determining a system partition, an annual cold load time statistical table and a total system cold load value;
further, the total cold load value of the system partition and the system is determined according to the room function, owner attribution, pipeline length, outdoor unit placing conditions and the like, and a total part load time statistical table of the whole year is calculated;
s2, selecting an optional outdoor unit model selection scheme according to the system total cold load value counted in S1;
s3, determining the cooling capacity, the power consumption and the energy efficiency ratio of the selected outdoor unit under the partial load conditions, namely 0%, 25%, 50%, 75% and 100%, respectively, and fitting a cooling capacity-power characteristic curve formula Y ═ Ax3+Bx2+ Cx + D, where Y is power; x is refrigerating capacity; A. b, C, D is a constant relating power to cooling capacity;
s4, determining the operation strategy of each outdoor unit model selection scheme under the condition of annual partial load according to the annual cold load time statistical table of S1 statistics and the energy efficiency of each outdoor unit under the condition of partial load of S3;
s5, calculating the annual air conditioner energy consumption of the outdoor unit model selection schemes; and selecting the model selection scheme with the lowest energy consumption as the optimal scheme for designing the air conditioning system.
According to the method for selecting the type of the outdoor unit of the multi-split air conditioning system, further, the specific operation steps of calculating the air conditioning cold load value and the cold load value at each time of the year in the step S1 are as follows:
and respectively calculating the hourly air-conditioning cold load value of each room of the building and the cold load value of each time of the whole year by using hourly cold load calculation software and annual load calculation software.
According to the method for selecting the type of the outdoor unit of the multi-split air conditioning system, in step S1, the total cooling load value of the system partition and the system is further determined according to the combination of one or more of the indoor parameters such as the room function, the owner' S affiliation, the pipe length, the outdoor unit placement condition, and the like, and the total partial load time statistical table of the whole year is calculated.
According to the method for selecting the outdoor units of the multi-split air conditioning system, in step S4, the operation strategy of each outdoor unit selection scheme under the condition of annual partial load is determined according to the principle that each outdoor unit of each scheme is ensured to operate at a load rate of 50% -75% as much as possible to obtain the highest energy saving efficiency.
According to the method for selecting the outdoor units of the multi-split air conditioning system, further, the specific operation steps of calculating the annual air conditioning energy consumption of each outdoor unit type selection scheme in step S5 are as follows:
calculating the power consumption of the outdoor unit at each moment according to the selected operation strategy and load;
power consumption of the outdoor unit:
wherein W is the total outdoor power consumption, Y1iIs the power of the first multi-connected outdoor unit at i moment, Y2iPower of the second multi-connected outdoor unit at i moment, YiiAnd the power of the ith multi-connected outdoor unit at the moment i is shown, and t cold is the total refrigerating time.
The invention has the technical effects that: the method for selecting the outdoor unit type of the multi-split air-conditioning system is provided, so that the type selection of the multi-split air-conditioning system is more reasonable, the designed air-conditioning system is lower in energy consumption, and the running cost is lower.
Drawings
Fig. 1 is a flowchart illustrating a method for selecting a type of an outdoor unit of a multi-split air conditioning system according to the present invention.
Detailed Description
This is explained in detail below with reference to fig. 1.
Fig. 1 illustrates a method for selecting a type of an outdoor unit of a multi-split air conditioning system according to the present invention, the method comprising:
s1, calculating the cooling load value of the air conditioner and the cooling load value at each time of the whole year, and determining the system partition and the cold load time statistical table of the whole year
Furthermore, the steps of the air conditioner cold load value and the cold load value at each time of the year comprise the following specific operations:
and respectively calculating the hourly air-conditioning cold load value of each room of the building and the cold load value of each time of the whole year by using hourly cold load calculation software and annual load calculation software.
Further, the total cold load value of the system partition and the system is determined according to the room function, owner attribution, pipeline length, outdoor unit placing conditions and the like, and a total part load time statistical table of the whole year is calculated;
s2, selecting an optional outdoor unit model selection scheme according to the system total cold load value counted in S1;
s3, determining the cooling capacity, the power consumption and the energy efficiency ratio of the outdoor units under the partial load (0, 25%, 50%, 75%, 100%), and fitting the cooling capacity-power characteristic curve formula (Y ═ Ax)3+Bx2+ Cx + D). Wherein Y is power; x is refrigerating capacity; A. b, C, D is a constant relating power to cooling capacity.
And S4, determining the operation strategy of each outdoor unit model selection scheme under the condition of annual partial load according to the total annual partial load distribution condition counted by S1 and the energy efficiency of each capacity outdoor unit under the condition of partial load of S3.
Furthermore, the operation strategy of the outdoor unit model selection schemes under the condition of annual partial load is determined by ensuring that each outdoor unit of each scheme operates at a load rate of 50-75% as much as possible to obtain the highest energy-saving efficiency, so that the operation strategy of the outdoor units under the condition of the partial load is determined according to the principle,
and S5, calculating the annual air conditioner energy consumption of the outdoor unit model selection schemes. And selecting the model selection scheme with the lowest energy consumption as the optimal scheme for designing the air conditioning system.
Furthermore, the specific operation of the step of calculating the annual air conditioner energy consumption of each outdoor unit type selection scheme is as follows:
and calculating the power consumption of the outdoor unit at each moment according to the selected operation strategy and the load.
Power consumption of the multi-online outdoor unit:
wherein W is the total outdoor power consumption, Y1iIs the power of the first multi-connected outdoor unit at i moment, Y2iPower of the second multi-connected outdoor unit at i moment, YiiAnd the power of the ith multi-connected outdoor unit at the moment i is shown, and t cold is the total refrigerating time.
Taking a standard floor of an office building in an actual engineering project as a calculation model, the calculation model is divided into 4 open offices 1001-1004, and the area 363.2m of the office 10012Office 1002 area 217.4m2Office 1003 area 315.9m2Office 1004 area 288m2The air conditioning area is not counted in other walkways, toilets, stairs, elevator halls and the like. The project is located in the Qingdao, and weather parameters of the Qingdao are selected for calculation.
The office calculation time is based on the working time of general office staff, and specifically is 8: 00-18: 00, and on weekend holidays. The values of the parameters of the building envelope are detailed in the table 1. The values of indoor parameters such as indoor meteorological parameters, personnel density, equipment power, lighting density and utilization rate are shown in table 2.
Table 1: maintaining structural parameters
TABLE 2 indoor parameters
And according to the calculation model, the calculation time, the maintenance structure parameters and the indoor parameters, carrying out item-by-item time-by-time cold load calculation and year-round cold load calculation on each air-conditioning room of the calculation model. The distribution of time at part load for the total annual cooling load is shown in table 3. As can be seen from table 3, most of the time, the cooling load is between 20% and 80%, and the outdoor unit should ensure that the unit is in an efficient operation state when the total cooling load is between the ratio.
| Part load ratio | Hours (h) | Time ratio (%) |
| 0～10％ | 0.00 | 0.00 |
| 10％～20％ | 39.00 | 4.17 |
| 20％～30％ | 87.00 | 9.30 |
| 30％～40％ | 141.00 | 15.08 |
| 40～50％ | 201.00 | 21.50 |
| 50％～60％ | 164.00 | 17.54 |
| 60％～70％ | 176.00 | 18.82 |
| 70％～80％ | 80.00 | 8.56 |
| 80％～90％ | 33.00 | 3.53 |
| 90％～100％ | 14.00 | 1.50 |
Table 3: part load hour distribution
According to the needs of an owner, each layer of office 1001 and 1002 is a system, each layer of office 1003 and 1004 is a system, the maximum cold load corresponding to the outdoor unit is determined by utilizing the calculated data of the cold load, the fresh air volume and the like of each room at each moment, 3 model selection schemes are determined according to the capacity of the outdoor unit, and the specific details are shown in table 4 (the outdoor unit equipment parameters refer to a certain multi-connected air conditioner brand), wherein the first scheme is a conventional model selection scheme, the second scheme and the third scheme are optimization schemes.
Table 4: outdoor unit model selection scheme
The power and energy efficiency ratios of the five outdoor units under the partial loads of 0%, 25%, 50%, 75% and 100% are detailed in a table 5. according to data in the table, an Excel tool is utilized to fit a refrigerating capacity-power characteristic curve of the five outdoor units, and a specific formula is shown in a table 6.
Table 5: power and energy efficiency ratio of different outdoor units under partial load
Table 6: formula of different outdoor machine refrigerating output-power characteristic curve
As can be seen from table 5, the outdoor units operate at 50-75% load rates most efficiently, so that the highest energy saving efficiency can be obtained under the condition that each outdoor unit of each scheme operates at 50-75% load rates as much as possible, the operation strategy of the outdoor units under the partial load condition is determined based on the energy saving efficiency, and the content in parentheses is the load rate of each outdoor unit in operation, which is specifically shown in table 7.
Table 7: operation strategy of outdoor unit under partial load condition
The calculated annual air conditioner cold load value X is calculated through the operation strategy of the table 7iUsing different outdoor machine refrigerating output-power characteristic curve formulas in table 6, and applying formulas
And calculating the outdoor unit energy consumption and the energy saving rate relative to the scheme 1 of the whole air conditioning season of the whole year according to different air conditioning outdoor unit type selection schemes, wherein the specific data are detailed in a table 7. From table 7, it can be seen that scheme 3 has the lowest energy consumption and the most energy saving.
| Scheme(s) | Scheme 1 | Scheme 2 | Scheme 3 |
| Annual air-conditioning energy consumption (KW) | 11178.99 | 10296.13 | 9326.057 |
| Relative energy saving ratio (%) | 0 | 7.90％ | 16.58％ |
Table 7: air conditioner energy consumption and relative energy saving rate of different schemes
Finally, it should be noted that: although the present invention has been described in detail with reference to the above embodiments, it should be understood by those skilled in the art that: modifications and equivalents may be made thereto without departing from the spirit and scope of the invention and it is intended to cover in the claims the invention as defined in the appended claims.
Claims (3)
1. A method for selecting the type of an outdoor unit of a multi-split air conditioning system is characterized by comprising the following steps:
s1, calculating the hourly air-conditioning cold load value and the annual cold load value at each moment, and determining a system partition, an annual cold load time statistical table and a total system cold load value;
further, the total cold load value of the system partition and the system is determined according to one or more conditions of room function, owner attribution, pipeline length and outdoor unit placing conditions, and a total part load time statistical table of the whole year is calculated;
s2, selecting an optional outdoor unit model selection scheme according to the system total cold load value counted in S1;
s3, determining the cooling capacity, the power consumption and the energy efficiency ratio of the selected outdoor unit under the partial load conditions, namely 0%, 25%, 50%, 75% and 100%, respectively, and fitting a cooling capacity-power characteristic curve formula Y ═ Ax3+Bx2+ Cx + D, where Y is power; x is refrigerating capacity; A. b, C, D is a constant relating power to cooling capacity;
s4, according to the annual cold load time statistical table of S1 statistics and the energy efficiency of each outdoor unit under the condition of partial load of S3, determining the outdoor unit type selection scheme to ensure that the load rate of each outdoor unit of each type selection scheme is 50-75% under the condition of annual partial load;
s5, calculating the annual air conditioner energy consumption of the outdoor unit model selection schemes; and selecting the model selection scheme with the lowest energy consumption as the optimal scheme for designing the air conditioning system.
2. The method as claimed in claim 1, wherein the specific operation steps of calculating the air conditioner cooling load value and the cooling load value at each time of the year in step S1 are as follows:
and respectively calculating the hourly air-conditioning cold load value of each room of the building and the cold load value of each time of the whole year by using hourly cold load calculation software and annual load calculation software.
3. The method for outdoor unit type selection of a multi-split air conditioning system as claimed in claim 2, further comprising the specific operation steps of calculating annual air conditioning energy consumption of each outdoor unit type selection scheme in step S5:
calculating the power consumption of the outdoor unit at each moment according to the selected operation strategy and load;
power consumption of the outdoor unit:
wherein WColdTotal outdoor power consumption, Y1iIs the power of the first multi-connected outdoor unit at i moment, Y2iPower of the second multi-connected outdoor unit at i moment, YIiIs the power of the No. I multi-connected outdoor unit at the moment I, tColdIs the total refrigeration time.
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| CN109829635A (en) * | 2019-01-21 | 2019-05-31 | 上海理工大学 | Cold source equipment capacity dynamic matching method based on operation year limited load evolution Feature |
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| CN110135639B (en) * | 2019-05-14 | 2020-10-27 | 珠海格力电器股份有限公司 | Multi-online type selection method and device, computer equipment and storage medium |
| CN111797460A (en) * | 2020-05-21 | 2020-10-20 | 武汉理工大学 | Method and device for selecting type of equipment of cruise ship air conditioning system |
| CN113465122B (en) * | 2021-06-21 | 2023-03-03 | 北京纪新泰富机电技术股份有限公司 | Air conditioner host model selection method and device |
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