An air conditioning unit automatic selection method and system

Abstract

The application provides an air conditioning unit automatic selection method and system, which determines the required refrigerating capacity of a target building, acquires system design parameters, cold machine parameters, refrigeration side parameters and cooling side parameters of the air conditioning unit, determines the selection of the cold machine first, then determines the selection of the refrigeration side and the cooling side respectively, so as to complete the selection of the air conditioning unit in the target building, compared with the prior art, the complexity, the professionalism, the repeatability of personnel selection design are greatly reduced, the system selection equipment scheme is fully realized, automatic, rationalization, simplification and optimization, a strong support is provided for the system efficient design scheme, and the working efficiency of simulation technical personnel is greatly improved.

Description

Technical Field

[0001] This invention relates to the field of intelligent control technology, specifically to an automatic selection method and system for air conditioning units. Background Technology

[0002] Air conditioning systems are coupled and complex systems whose operational efficiency is affected by parameters such as the unit, chilled water, and cooling water. Furthermore, there is a wide variety of equipment types, models, and combinations available, with different projects having different optimal combinations and equipment selections. Therefore, it is difficult to determine the optimal solution for the system, leading to poor system performance.

[0003] With the development of high-efficiency data centers, higher demands are placed on the control of solutions during the design phase. Achieving comprehensive, automated, simplified, and optimized system equipment selection is an effective way to ensure high efficiency in the design phase. Currently, HVAC system selection and design often rely on the experience of senior designers. The subjective biases of designers can lead to incomplete selection, failing to choose the optimal design solution and resulting in poor system performance after implementation. Summary of the Invention

[0004] The purpose of this invention is to overcome the above-mentioned technical deficiencies and provide an automatic selection method and system for air conditioning units, so as to solve the technical problem that the selection scheme of air conditioning units is manually determined in the related technology, resulting in poor system operation.

[0005] To achieve the above-mentioned technical objectives, the present invention adopts the following technical solution:

[0006] According to a first aspect of the present invention, an automatic selection method for air conditioning units is provided, comprising:

[0007] Determine the required cooling capacity of the target building;

[0008] Obtain the system design parameters, chiller parameters, refrigeration side parameters, and cooling side parameters of the air conditioning unit;

[0009] Based on the required cooling capacity, system design parameters, and chiller parameters, determine the appropriate chiller type.

[0010] Based on the refrigeration side parameters, cooling side parameters, and chiller selection, refrigeration side selection and cooling side selection are carried out respectively.

[0011] Preferably, determining the required cooling capacity of the target building includes:

[0012] The building information of the target building is input into the preset building load simulation software to obtain the building load of the target building. The building information includes at least: building volume, building materials, building zones, and building area of ​​each building zone.

[0013] Based on the building load, determine the required cooling capacity of the target building.

[0014] Preferably, the system design parameters include at least: load design redundancy, chilled water design inlet / outlet water temperature, and cooling water design inlet / outlet water temperature;

[0015] The chiller parameters include at least: the range of chiller selection quantity, the maximum chiller model type, chiller type, and chiller fixed / variable frequency;

[0016] The chilled side parameters include at least: chilled water pump design head, chilled water main end design head, chilled water pump selection head redundancy, and chilled water pump selection flow redundancy;

[0017] The cooling-side parameters include at least: cooling pump design head, chilled water pump selection head redundancy, chilled water pump selection flow redundancy, cooling tower selection flow redundancy, and fixed / variable frequency cooling tower fan.

[0018] Preferably, determining the selection of the chiller based on the required cooling capacity, system design parameters, and chiller parameters includes:

[0019] Based on the required cooling capacity, system design parameters, and chiller parameters, the chillers in the chiller model library are initially screened.

[0020] From the initial screening, chillers that meet preset limiting conditions are selected as the recommended selection scheme. Preferably, the step of selecting chillers that meet preset limiting conditions from the initial screening as the recommended selection scheme includes:

[0021] If the maximum number of refrigeration unit models in the initial screening is 1, then the preset limiting condition is set to one: First limiting condition: The combined cooling capacity of the refrigeration units is greater than and close to the required cooling capacity;

[0022] If the maximum number of chiller models in the initial screening is greater than 1, then the preset limiting conditions are set to two: The first limiting condition is: the rated cooling capacity of a single chiller * α ≤ the instantaneous minimum load, where the instantaneous minimum load is the minimum value among the actual simulated loads that meet the preset conditions, and the preset conditions are: the actual load ≥ the maximum value of the hourly building cooling load within a day * β;

[0023] Second limiting condition: Rated cooling capacity of a single target unit * ε1 ≤ ∑ Rated cooling capacity of the unit to be switched * Number of units to be switched, ∑ Rated cooling capacity of the unit to be switched * Number of units to be switched ≤ Rated cooling capacity of a single main unit * ε2.

[0024] Preferably, the step of selecting the refrigeration side and the cooling side based on the refrigeration side parameters, the cooling side parameters, and the type of chiller includes:

[0025] Based on the selection of the chiller and the parameters of the refrigeration side, determine the selection of the refrigeration pump on the refrigeration side;

[0026] Based on the selection of the chiller and the cooling side parameters, the selection of the cooling pump and the cooling tower on the cooling side are determined.

[0027] Preferably, determining the selection of the refrigeration pump on the refrigeration side based on the selection of the chiller and the refrigeration side parameters includes:

[0028] Based on the selection of the chiller, determine the chilled water flow rate as: chiller evaporator water flow rate * empirical coefficient;

[0029] Select chilled water pumps from the chilled water pump model library that simultaneously meet the requirements of chilled water flow rate, chilled water pump design head, and chilled water main end design head.

[0030] Preferably, the method further includes:

[0031] Determine whether the chilled pump meets the hydraulic balance constraint conditions on the chilled side. If yes, retain the current chilled pump selection; otherwise, exclude the current chilled pump selection.

[0032] The hydraulic balance constraints on the chilled side include: chilled pump design head - chilled main pipe end design head - chiller evaporator pressure drop > 3, where 3 is the empirical value of the chilled main pipe design pressure drop.

[0033] Preferably, determining the selection of the cooling pump and cooling tower based on the selection of the chiller and cooling-side parameters includes:

[0034] Based on the selection of the chiller, determine the cooling side water flow rate as: chiller condenser water flow rate * empirical coefficient;

[0035] Select a refrigeration pump from the cooling water pump model library that simultaneously meets the requirements of cooling side water flow rate and cooling pump design head;

[0036] Based on the selection of the chiller, determine the cooling tower water flow rate as: chiller condenser water flow rate * selection coefficient;

[0037] Calculate the cooling tower head based on the hydraulic conditions on the cooling side;

[0038] Select cooling towers from the cooling tower model library that simultaneously meet the requirements for cooling tower water flow rate and cooling tower head, and delete those that do not meet the requirements: cooling pump design head - chiller condenser head - ≥Cooling tower head, The pressure drop of the main cooling pipe is based on empirical values.

[0039] Preferably, the method further includes:

[0040] Different limiting conditions are added during the selection of chillers, refrigeration side and cooling side to screen out chiller combinations, chilled pumps, cooling pumps and cooling tower combinations that can enable air conditioning units to operate in the high-efficiency COP range.

[0041] Preferably, the method further includes:

[0042] The system will provide users with a list of chiller combinations, chilled water pumps, cooling pumps, and cooling tower combinations that enable air conditioning units to operate in the high-efficiency COP range, allowing users to make their selections.

[0043] According to a second aspect of the present invention, an automatic selection system for air conditioning units is provided, comprising:

[0044] A processor, and a memory connected to the processor;

[0045] The memory is used to store computer programs;

[0046] The processor is used to call and execute the computer program in the memory to perform the above-described method.

[0047] The technical solutions provided by the embodiments of the present invention may include the following beneficial effects:

[0048] By determining the required cooling capacity of the target building and obtaining the system design parameters, chiller parameters, refrigeration side parameters, and cooling side parameters of the air conditioning unit, the selection of the chiller is determined first, and then the selection of the refrigeration side and cooling side are carried out separately, thereby completing the selection of the air conditioning unit in the target building. Compared with existing technologies, this greatly reduces the complexity, professionalism, and repetition of personnel selection and design, and realizes the comprehensiveness, automation, rationality, simplification, and optimization of the system selection equipment solution. It provides strong support for the efficient design of the system and greatly improves the work efficiency of simulation technicians. Attached Figure Description

[0049] Figure 1 This is a flowchart illustrating an automatic air conditioning unit selection method according to an exemplary embodiment;

[0050] Figure 2 This is a schematic diagram of the input interface for system design parameters, chiller parameters, refrigeration side parameters, and cooling side parameters of an air conditioning unit according to an exemplary embodiment.

[0051] Figures 3A-3C This is a building load distribution diagram illustrated according to an exemplary embodiment;

[0052] Figure 4 This is a schematic diagram illustrating a method for adapting the number of chillers according to an exemplary embodiment;

[0053] Figure 5This is a schematic diagram illustrating an efficient pump selection method according to an exemplary embodiment;

[0054] Figure 6 This is a flowchart illustrating an automatic air conditioning unit selection method according to an exemplary embodiment;

[0055] Figure 7 This is a flowchart illustrating an automatic selection method for the freezing side according to an exemplary embodiment;

[0056] Figure 8 This is a flowchart illustrating an automatic cooling side selection method according to an exemplary embodiment. Detailed Implementation

[0057] To enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present application, and not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative effort should fall within the scope of protection of the present application.

[0058] Example 1

[0059] Figure 1 This is a flowchart illustrating an automatic air conditioning unit selection method according to an exemplary embodiment, such as... Figure 1 As shown, the method includes:

[0060] Step S11: Determine the required cooling capacity of the target building;

[0061] Step S12: Obtain the system design parameters, chiller parameters, refrigeration side parameters, and cooling side parameters of the air conditioning unit;

[0062] Step S13: Determine the type of chiller based on the required cooling capacity, system design parameters, and chiller parameters;

[0063] Step S14: Based on the refrigeration side parameters, cooling side parameters, and chiller selection, perform refrigeration side selection and cooling side selection respectively.

[0064] It should be noted that the technical solution provided in this embodiment is loaded and runs in electronic devices in practice, such as running in a computer, a portable handheld terminal, or a mobile phone.

[0065] The technical solution provided in this embodiment can be presented in practice as an application loaded on a web page, as an APP, or as a WeChat mini program, without any specific limitation.

[0066] The term "selection" in this embodiment includes both the model (e.g., a chiller may include a water-cooled screw chiller, a centrifuge, etc.) and the quantity (e.g., one water-cooled screw chiller, two centrifuges, etc.).

[0067] It is understood that the technical solution provided in this embodiment determines the required cooling capacity of the target building and obtains the system design parameters, chiller parameters, refrigeration side parameters, and cooling side parameters of the air conditioning unit. It first determines the selection of the chiller, and then performs refrigeration side selection and cooling side selection respectively, thereby completing the selection of the air conditioning unit in the target building. Compared with the prior art, it greatly reduces the complexity, professionalism, and repetition of personnel selection and design, and realizes the comprehensiveness, automation, rationality, simplification, and optimization of the system selection equipment solution. It provides strong support for the efficient design of the system and greatly improves the work efficiency of simulation technicians.

[0068] In practice, determining the required cooling capacity of the target building includes:

[0069] The building information of the target building is input into a preset building load simulation software (e.g., simulation software DeST, Hongye, energyplus, etc.) to obtain the building load of the target building. The building information includes at least: building volume, building materials, building zones, and building area of ​​each building zone.

[0070] Based on the building load, determine the required cooling capacity of the target building.

[0071] In practice, the required cooling capacity of the target building is determined based on the building load. Specifically, assuming the building load is Q1, the required cooling capacity of the target building is generally determined to be Q = 1.2Q1 to 2.5Q1, in order to leave room for cooling capacity redundancy.

[0072] It is understood that the technical solution provided in this embodiment fully considers the building load of the target building in determining the required cooling capacity, so that the final determined required cooling capacity can meet the user's needs. Furthermore, the chiller selected based on this required cooling capacity can better fit the actual situation of the target building, better meet user needs, and ensure a better user experience.

[0073] In practice, the system design parameters include at least: load design redundancy, chilled water design inlet / outlet water temperature, and cooling water design inlet / outlet water temperature.

[0074] The chiller parameters include at least: the range of chiller selection quantity, the maximum chiller model type, chiller type, and chiller fixed / variable frequency;

[0075] The chilled side parameters include at least: chilled water pump design head, chilled water main end design head, chilled water pump selection head redundancy, and chilled water pump selection flow redundancy;

[0076] The cooling-side parameters include at least: cooling pump design head, chilled water pump selection head redundancy, chilled water pump selection flow redundancy, cooling tower selection flow redundancy, and fixed / variable frequency cooling tower fan.

[0077] In practice, the input interfaces for the aforementioned system design parameters, chiller parameters, refrigeration side parameters, and cooling side parameters can be found in [link to relevant documentation]. Figure 2 As shown.

[0078] Preferably, determining the type of chiller in step S13 includes:

[0079] Based on the required cooling capacity, system design parameters, and chiller parameters, the chillers in the chiller model library are initially screened.

[0080] From the initial screening, chillers that meet the preset limitations are selected as the recommended selection options.

[0081] For example, suppose the required cooling capacity of the target building determined in step S11 is Q, the load design redundancy input by the user is 1.2, the number of chiller units selected is 2 to 4, the maximum number of chiller models is 2, the chiller type is unlimited, and the chiller is a frequency converter.

[0082] The initial screening process involves the following steps:

[0083] The maximum load is increased to 1.2Q. The refrigeration capacity of the cold storage is automatically arranged and combined. Two cold storage units are initially selected. A combination scheme that satisfies the refrigeration capacity of the two cold storage units is recommended.

[0084] Three chillers are selected. A combination scheme is recommended that satisfies the cooling capacity of the three chillers being greater than 1.2Q.

[0085] Four chillers are selected. A combination scheme is recommended that satisfies the cooling capacity of the four chillers being greater than 1.2Q.

[0086] In practice, if the maximum number of refrigeration unit models selected in the initial screening is one, meaning that only one type of refrigeration unit is recommended, then the preset constraint condition is set to one:

[0087] First limiting condition: The combined cooling capacity of the chiller is greater than and close to the required cooling capacity (close to means within 0 to 1 times the required cooling capacity Q, for example, 0.2Q, 0.3Q, 0.02Q, 0.03Q, etc.).

[0088] Understandably, when the cooling capacity of the selected chiller combination differs significantly from the required cooling capacity calculated by the simulation software, the selected chiller combination cannot meet the user's needs and must be excluded. Therefore, a second screening is conducted to limit the cooling capacity of the chiller combinations to be greater than and close to the required cooling capacity. This second screening identifies chiller combinations with a cooling capacity greater than and close to 1.2Q. Of course, in practical applications, for energy conservation, an upper limit can also be set for the cooling capacity of the chiller combinations, for example, 2Q or 3Q. This prevents the selected chiller combinations from having a cooling capacity far exceeding the required cooling capacity, thus avoiding energy waste.

[0089] If the initial screening selects more than one type of refrigeration unit, meaning the recommended selection includes two or more types, then the preset limitations are set to two:

[0090] The first limiting condition (also known as the minimum load start-up condition of the chiller): the rated cooling capacity of a single chiller * α ≤ the instantaneous minimum load, wherein the instantaneous minimum load is the minimum value of the actual simulated load that meets the preset condition, and the preset condition is: the actual load ≥ the maximum value of the hourly building cooling load within a day * β;

[0091] The second limiting condition (also known as the addition / reduction switch condition): the rated cooling capacity of a single target unit * ε1 ≤ ∑ the rated cooling capacity of the unit to be switched * the number of units to be switched, and ∑ the rated cooling capacity of the unit to be switched * the number of units to be switched ≤ the rated cooling capacity of a single main unit * ε2.

[0092] It should be noted that in practice, the parameters α, β, and ε1 to ε2 are set based on historical experience or experimental data. For example, the range of α is set to 20% to 60%, the range of β to 1% to 30%, the range of ε1 to 30% to 60%, and the range of ε2 to 70% to 100%.

[0093] Understandably, when the first limiting condition (also known as the minimum load start-up condition) is met, the chiller can start even when the target building is under low load, ensuring the user's cooling needs. When the second limiting condition (also known as the adder / subtractor switching condition) is met, the small unit can be switched to the medium unit, and the medium unit can be switched to the large unit (small, medium, and large units are divided according to their respective rated cooling capacity ranges), ensuring that the refrigeration system can adapt to different full cooling capacity ranges and meet actual group control conditions.

[0094] High-efficiency selection method for chillers: The main factors affecting the efficient operation of chillers are whether the building load is within the high-efficiency range of the unit and whether the number of units in operation is reasonable.

[0095] (1) The main influencing factor for efficient chiller operation is whether the building load is within the efficient operating range of the unit, see Figure 3A and Figure 3B Different models of generator sets have different high-efficiency ranges. Figure 3A Represents screw compressor units. Figure 3A The different curves in the diagram represent different models of screw compressor units; Figure 3B Represents centrifuges. Figure 3B The different curves in the graph represent different models of centrifuges.

[0096] To ensure the efficiency of the selection process, selection constraints can be added during the automatic selection process to make the units more efficient. For example, based on the energy efficiency curves of units within a certain cooling capacity range, the system can automatically select units with a large load percentage range that fall within their high-efficiency performance range, achieving the optimal equipment and combination for energy saving. See also Figure 3A Screw turbine units exhibit a relatively high Coefficient of Performance (COP) when the load rate is between 25% and 50%, indicating that the system operates within its high-efficiency range; see also Figure 3C The load share of the target building is concentrated between 35% and 60%, while the load share of the combined chiller unit is between 25% and 50%, with an overlap of 35% to 50%. Returning to... Figure 3A Select chiller units with a load rate of 35% to 50%.

[0097] See Figure 3B Centrifuge units exhibit a relatively high Coefficient of Performance (COP) when the load rate is between 40% and 60%, indicating that the system operates within its high-efficiency range; see [link / reference]. Figure 3C The load share of the target building is concentrated between 35% and 60%, while the load share of the chiller combination is between 40% and 60%, with an overlap of 40% to 60%. Returning to... Figure 3B Select chiller units with a load rate of 40% to 60%.

[0098] An efficient method for selecting multiple chiller units automatically recommends a range of units based on chiller room layout specifications and the building's maximum cooling capacity. Simultaneously, according to a predetermined plan, the entire operating range is divided into energy efficiency zones to determine the optimal switching point for the number of parallel inverter chillers, resulting in an optimal operating area distribution map. (See also...) Figure 4 Different refrigeration unit combinations will have Figure 4 This curve, by comparing the overall distributed energy efficiency COP, selects the scheme with the highest sum of energy efficiency of all chillers, and combines the trend of building load ratio to ensure that the unit always operates in the high-efficiency range, ensuring the optimal number of units under the condition of optimal unit performance.

[0099] In practice, step S14 involves selecting the refrigeration side and cooling side based on the refrigeration side parameters, cooling side parameters, and chiller selection, including:

[0100] Based on the selection of the chiller and the parameters of the refrigeration side, determine the selection of the refrigeration pump on the refrigeration side;

[0101] Based on the selection of the chiller and the cooling side parameters, the selection of the cooling pump and the cooling tower on the cooling side are determined.

[0102] Specifically, determining the selection of the refrigeration pump on the refrigeration side based on the selection of the chiller and the refrigeration side parameters includes:

[0103] Based on the selection of the chiller, determine the chilled water flow rate as: chiller evaporator water flow rate * empirical coefficient;

[0104] Select chilled water pumps from the chilled water pump model library that simultaneously meet the requirements of chilled water flow rate, chilled water pump design head, and chilled water main end design head.

[0105] In practice, the experience coefficient can be set according to user needs, historical experience values, or experimental data, for example, set to 1 to 1.4.

[0106] Understandably, the selection of the chilled pump on the chilled side is mainly based on flow rate and hydraulic balance.

[0107] Preferably, the method further includes:

[0108] Determine whether the chilled pump meets the hydraulic balance constraint conditions on the chilled side. If yes, retain the current chilled pump selection; otherwise, exclude the current chilled pump selection.

[0109] The hydraulic balance constraints on the chilled side include: the design head of the selected chilled pump - the design head at the end of the chilled main pipe - the pressure drop of the chiller evaporator > 3, where 3 is an empirical value for the design pressure drop of the chilled main pipe.

[0110] See Figure 7 High-efficiency selection method for chilled water pumps: To ensure the efficiency of the selection scheme, constraints can be added during the automatic selection process to make the selected chilled water pump more efficient. See also Figure 5 :

[0111] (1) Method 1: The efficiency of the equipment often determines the operating effect of the unit. Therefore, the efficient selection method of the chilled pump is to select the pump with the highest efficiency among the conditions (the efficiency of the pump is determined by the flow rate, head and efficiency. If the input pump operating point is optimal in the established pump pool model, then a high-performance pump can be selected).

[0112] (2) Method 2: Based on the flow-head curve and flow-efficiency curve of the pump model library, based on the pump flow rate at the maximum flow rate* Traffic ~ Maximum Traffic* Between traffic (corresponding) Figure 5Points A and B on the head curve correspond to heads between m1 and m2. Combined with the pump efficiency range (the efficiency range corresponding to points A and B exactly covers the maximum value part of the efficiency curve), this constitutes the pump's high-efficiency range. Figure 5 (The shaded area in the image). The system determines whether the input head and chiller evaporator flow rate are within the high-efficiency zone (by inputting the head and flow rate into the pump model in the pump model library, the system automatically outputs the pump's high-efficiency zone). If yes, the condition is met; otherwise, the system eliminates the pump, completing the automatic chilled water pump selection. Simultaneously, it checks whether the head of the selected pump at point C under the actual chiller evaporator flow rate Q is lower than the head at point D of the pump model's input. If so, the recommended solution is chosen, and the closer the design head point D of the selected pump is to the calculated actual head point C, the better. Otherwise, the solution is eliminated.

[0113] Understandably, the high-efficiency range of the water pump has already been determined in the model library. The comparison is simply a matter of whether the input falls within the high-efficiency range; the shaded area represents the high-efficiency range. If the design point is within the high-efficiency range of the water pump, it means that the water pump will be very energy-efficient during actual operation. At the same time, considering that the head at the design point is close to that at point C, this allows for a wider range of adjustable frequencies for the water pump, making it adaptable to more operating conditions.

[0114] In practice, determining the selection of the cooling pump and cooling tower based on the chiller selection and cooling-side parameters includes:

[0115] Based on the selection of the chiller, determine the cooling side water flow rate as: chiller condenser water flow rate * empirical coefficient;

[0116] Select a refrigeration pump from the cooling water pump model library that simultaneously meets the requirements of cooling side water flow rate and cooling pump design head;

[0117] Based on the selection of the chiller, determine the cooling tower water flow rate as: chiller condenser water flow rate * selection coefficient;

[0118] Calculate the cooling tower head based on the hydraulic conditions on the cooling side;

[0119] Select cooling towers from the cooling tower model library that simultaneously meet the requirements for cooling tower water flow rate and cooling tower head, and delete those that do not meet the requirements: cooling pump design head - chiller condenser head - ≥Cooling tower head, The pressure drop of the main cooling pipe is based on empirical values.

[0120] In practice, the experience coefficient can be set according to user needs, historical experience values, or experimental data, for example, set to 1 to 1.4.

[0121] See Figure 8 The selection method for high-efficiency cooling pumps is the same as that for high-efficiency refrigeration pumps, including:

[0122] Method 1: The efficiency of equipment often determines its operating effect. Therefore, the optimal method for selecting a high-efficiency water pump is to choose the pump with the highest efficiency among those that meet the requirements.

[0123] Method 2: Based on the flow-head curve in the pump model library, and based on the pump flow rate at maximum flow rate* Traffic ~ Maximum Traffic* Between flow rates, the corresponding head is between m1 and m2; the shaded area represents the high-efficiency range of the water pump. The system determines whether the input head and chiller evaporator flow rate are within the high-efficiency range. If so, the condition is met; otherwise, the system eliminates the pump, completing the automatic cooling water pump selection. Simultaneously, it checks whether the head at point C of the selected pump at the actual chiller condenser flow rate Q is greater than the head at point D of the pump model's input. If so, the recommended solution is chosen, and the closer the design head D of the selected pump is to the calculated actual head at point C, the better. Otherwise, the solution is eliminated.

[0124] In practice, the method also includes:

[0125] The system will provide users with a list of chiller combinations, chilled water pumps, cooling pumps, and cooling tower combinations that enable air conditioning units to operate in the high-efficiency COP range, allowing users to make their selections.

[0126] Figure 6 This is a schematic diagram of the overall architecture of the air conditioning unit selection method provided in this embodiment. See also: Figure 6 In practice, after the selection of the chiller, refrigeration side, and cooling side is determined, a selection list is output. Based on the list, users can independently choose a selection scheme and load a custom control strategy onto the selected scheme for simulation. The system will automatically simulate and recommend the optimal solution.

[0127] It is understood that the technical solution provided in this embodiment can greatly reduce the complexity, specialization, and repetitiveness of personnel air conditioning unit selection and design, realize the comprehensiveness, automation, rationality, simplification, and optimization of system equipment selection solutions, provide strong support for efficient system design solutions, and greatly improve the work efficiency of simulation technicians.

[0128] Example 2

[0129] An automatic air conditioning unit selection system according to an exemplary embodiment includes:

[0130] A processor, and a memory connected to the processor;

[0131] The memory is used to store computer programs;

[0132] The processor is used to call and execute the computer program in the memory to perform the above-described method.

[0133] It should be noted that the technical solution provided in this embodiment is loaded and runs in electronic devices in practice, such as running in a computer, a portable handheld terminal, or a mobile phone.

[0134] The technical solution provided in this embodiment can be presented in practice as an application loaded on a web page, as an APP, or as a WeChat mini program, without any specific limitation.

[0135] The term "selection" in this embodiment includes both the model (e.g., a chiller may include a water-cooled screw chiller, a centrifuge, etc.) and the quantity (e.g., one water-cooled screw chiller, two centrifuges, etc.).

[0136] It is understood that the technical solution provided in this embodiment determines the required cooling capacity of the target building and obtains the system design parameters, chiller parameters, refrigeration side parameters, and cooling side parameters of the air conditioning unit. It first determines the selection of the chiller, and then performs refrigeration side selection and cooling side selection respectively, thereby completing the selection of the air conditioning unit in the target building. Compared with the prior art, it greatly reduces the complexity, professionalism, and repetition of personnel selection and design, and realizes the comprehensiveness, automation, rationality, simplification, and optimization of the system selection equipment solution. It provides strong support for the efficient design of the system and greatly improves the work efficiency of simulation technicians.

[0137] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of this application described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0138] Optionally, specific examples in this embodiment can refer to the examples described in the above embodiments, and will not be repeated here.

[0139] The sequence numbers of the embodiments in this application are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.

[0140] If the integrated units in the above embodiments are implemented as software functional units and sold or used as independent products, they can be stored in the aforementioned computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause one or more computer devices (which may be personal computers, servers, or network devices, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application.

[0141] In the above embodiments of this application, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0142] In the several embodiments provided in this application, it should be understood that the disclosed client can be implemented in other ways. The device embodiments described above are merely illustrative; for example, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces, indirect coupling or communication connection between units or modules, and may be electrical or other forms.

[0143] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0144] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0145] The above description is only a preferred embodiment of this application. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the principle of this application, and these improvements and modifications should also be considered within the scope of protection of this application.

Claims

1. An automatic selection method for air conditioning units, characterized in that, include: Determine the required cooling capacity of the target building; Obtain the system design parameters, chiller parameters, refrigeration side parameters, and cooling side parameters of the air conditioning unit; Based on the required cooling capacity, system design parameters, and chiller parameters, determine the appropriate chiller type. Based on the refrigeration side parameters, cooling side parameters, and the selection of the chiller, the refrigeration side and cooling side are selected respectively; The step of determining the selection of a chiller based on the required cooling capacity, system design parameters, and chiller parameters includes: Based on the required cooling capacity, system design parameters, and chiller parameters, the chillers in the chiller model library are initially screened. From the initial screening, select the chillers that meet the preset constraints as the recommended selection options; If the maximum number of refrigeration unit models in the initial screening is 1, then the preset limiting condition is set to one: First limiting condition: The combined cooling capacity of the refrigeration units is greater than and close to the required cooling capacity; If the maximum number of chiller models in the initial screening is greater than 1, then the preset limiting conditions are set to two: The first limiting condition is: the rated cooling capacity of a single chiller * α ≤ the instantaneous minimum load, where the instantaneous minimum load is the minimum value among the actual simulated loads that meet the preset conditions, and the preset conditions are: the actual load ≥ the maximum value of the hourly building cooling load within a day * β; Second limiting condition: Rated cooling capacity of a single target unit * ɛ1 ≤ ∑ Rated cooling capacity of the unit to be switched * Number of units to be switched, ∑ Rated cooling capacity of the unit to be switched * Number of units to be switched ≤ Rated cooling capacity of a single main unit * ɛ2.

2. The method according to claim 1, characterized in that, Determining the required cooling capacity of the target building includes: The building information of the target building is input into the preset building load simulation software to obtain the building load of the target building. The building information includes at least: building volume, building materials, building zones, and building area of ​​each building zone. Based on the building load, determine the required cooling capacity of the target building.

3. The method according to claim 1, characterized in that, The system design parameters include at least: load design redundancy, chilled water design inlet / outlet water temperature, and cooling water design inlet / outlet water temperature. The chiller parameters include at least: the range of chiller selection quantity, the maximum chiller model type, chiller type, and chiller fixed / variable frequency; The chilled side parameters include at least: chilled water pump design head, chilled water main end design head, chilled water pump selection head redundancy, and chilled water pump selection flow redundancy; The cooling-side parameters include at least: cooling pump design head, cooling water pump selection head redundancy, cooling water pump selection flow redundancy, cooling tower selection flow redundancy, and fixed / variable frequency cooling tower fan.

4. The method according to claim 1, characterized in that, The step of selecting the refrigeration side and the cooling side based on the refrigeration side parameters, the cooling side parameters, and the selected chiller includes: Based on the selection of the chiller and the parameters of the refrigeration side, determine the selection of the refrigeration pump on the refrigeration side; Based on the selection of the chiller and the cooling side parameters, the selection of the cooling pump and the cooling tower on the cooling side are determined.

5. The method according to claim 4, characterized in that, The step of determining the selection of the refrigeration pump on the refrigeration side based on the selection of the chiller and the refrigeration side parameters includes: Based on the selection of the chiller, determine the chilled water flow rate as: chiller evaporator water flow rate * empirical coefficient; Select chilled water pumps from the chilled water pump model library that simultaneously meet the requirements of chilled water flow rate, chilled water pump design head, and chilled water main end design head.

6. The method according to claim 5, characterized in that, Also includes: Determine whether the chilled pump meets the hydraulic balance constraint conditions on the chilled side. If yes, retain the current chilled pump selection; otherwise, exclude the current chilled pump selection. The hydraulic balance constraints on the chilled side include: chilled pump design head, chilled main pipe end design head, and chiller evaporator pressure drop. , Experienced values ​​for design pressure drop of the main refrigeration pipe.

7. The method according to claim 4, characterized in that, The step of determining the selection of the cooling pump and cooling tower based on the selection of the chiller and the cooling side parameters includes: Based on the selection of the chiller, determine the cooling side water flow rate as: chiller condenser water flow rate * empirical coefficient; Select a cooling pump from the cooling water pump model library that simultaneously meets the requirements of cooling side water flow rate and cooling pump design head.

8. The method according to claim 7, characterized in that, Also includes: Based on the selection of the chiller, the cooling tower water flow rate is determined as: chiller condenser water flow rate * selection coefficient; Calculate the cooling tower head based on the hydraulic conditions on the cooling side; Select cooling towers from the cooling tower model library that simultaneously meet the cooling tower water flow rate and cooling tower head requirements, and delete cooling towers that do not meet the cooling tower hydraulic balance requirements. The hydraulic balance constraints for the cooling tower include: the design head of the cooling pump. Refrigerator condenser head Cooling tower head The empirical value for the pressure drop of the cooling manifold is used for design purposes.

9. The method according to any one of claims 1 to 8, characterized in that, Also includes: Different limiting conditions are added during the selection of chillers, refrigeration side and cooling side to screen out chiller combinations, chilled pumps, cooling pumps and cooling tower combinations that can enable air conditioning units to operate in the high-efficiency COP range.

10. The method according to claim 9, characterized in that, Also includes: The system will provide users with a list of chiller combinations, chilled water pumps, cooling pumps, and cooling tower combinations that enable air conditioning units to operate in the high-efficiency COP range, allowing users to make their selections.

11. An automatic selection system for air conditioning units, characterized in that, include: A processor, and a memory connected to the processor; The memory is used to store computer programs; The processor is used to call and execute the computer program in the memory to perform the method according to any one of claims 1 to 10.

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