Model selection method and device for centrifugal water chilling unit and readable storage medium

Abstract

The invention relates to the technical field of water chilling unit model selection design, and discloses a model selection method and device for a centrifugal water chilling unit and a readable storage medium, and the model selection method for the centrifugal water chilling unit comprises the steps that the nominal refrigerating capacity Qnom and the load rate LOAD% are obtained; according to the nominal refrigerating capacity Qnom and the load rate LOAD%, the target refrigerating capacity Q of the unit is determined; the maximum refrigerating capacity Qmax and the minimum refrigerating capacity Qmin of the unit are determined; under the condition that Qmax is smaller than or equal to Q, performance parameters, corresponding to the load rate LOAD%, of the unit are determined; and under the condition that Q is smaller than Qmax, performance parameters of the unit are determined according to the number n of the compressors in the running state. According to the model selection method for the centrifugal water chilling unit, by inputting the nominal refrigerating capacity Qnom and the different load rates LOAD%, multiple sets of performance parameters can be obtained according to the different load rates LOAD%, and the performance output of the centrifugal water chilling unit in actual application is improved.

Description

Technical Field

[0001] This application relates to the technical field of selection design of chillers, for example, to a selection method and device for centrifugal chillers, and a readable storage medium. Background Art

[0002] Limited by the high production cost and long production and testing cycle of centrifugal chillers, it is impossible to achieve the performance differences caused by each technical optimization or technical change of the chiller through production prototype testing. In addition, with the popularization of high-efficiency and energy-saving computer rooms, the partial load performance of the chilled water host is increasingly valued during the computer room design stage, and a large amount of partial load performance data is required to calculate the overall performance of the computer room.

[0003] The air conditioner selection method disclosed in the related art simulates and calculates the system through a heat exchange device and a compressor simulation calculation system, and performs air conditioner simulation calculation according to the air conditioner selection input parameters; determines whether to stop the calculation according to the stop calculation condition and the air conditioner simulation calculation result: if so, determines the air conditioner selection result according to the air conditioner selection input parameters. Among them, the heat exchange device simulation calculation system and the compressor simulation calculation system perform data communication through an Excel VBA program.

[0004] In the process of implementing the embodiments of the present disclosure, it is found that at least the following problems exist in the related art:

[0005] In the related art, the air conditioner selection method based on the Excel VBA program is limited by the running speed of the Excel VBA program and poor compatibility. When calculating the partial load of a multi-compressor unit, it can only calculate the performance of the preset compressor combination, thus affecting the performance output during actual application.

[0006] It should be noted that the information disclosed in the above background art section is only used to enhance the understanding of the background of the present application, and therefore may include information that does not constitute the prior art known to those of ordinary skill in the art. Summary of the Invention

[0007] To have a basic understanding of some aspects of the disclosed embodiments, a simple summary is given below. This summary is not a general review, nor is it intended to identify key / important constituent elements or delineate the protection scope of these embodiments, but rather serves as a preface to the subsequent detailed description.

[0008] The embodiments of the present disclosure provide a selection method and device for centrifugal chillers, and a readable storage medium, to optimize the accuracy of the selection of centrifugal chillers.

[0009] In some embodiments, a selection method for centrifugal chillers is provided, including: obtaining the nominal refrigerating capacity Q nomand the load rate LOAD%; according to the nominal refrigerating capacity Q nom and the load rate LOAD%, determine the target refrigerating capacity Q of the unit; determine the maximum refrigerating capacity Q max and the minimum refrigerating capacity Q min ; in the case of Q max ≤Q, then determine the performance parameters of the unit corresponding to the load rate LOAD%; in the case of Q < Q max , then determine the performance parameters of the unit according to the number n of compressors in the operating state.

[0010] In some embodiments, a selection device for a centrifugal chiller is provided, including a processor and a memory storing program instructions, and the processor is configured to execute the selection method for a centrifugal chiller as described in any of the above embodiments when running the program instructions.

[0011] In some embodiments, a readable storage medium is provided, storing program instructions, and the program instructions are used to cause a computer to execute the selection method for a centrifugal chiller as described in any of the above embodiments when running.

[0012] The selection method, device, and readable storage medium for a centrifugal chiller provided by the embodiments of the present disclosure can achieve the following technical effects:

[0013] The selection method for a centrifugal chiller provided by the present disclosure, by inputting the nominal refrigerating capacity Q nom and inputting different load rates LOAD%, can obtain multiple sets of performance parameters for different load rates LOAD%. Specifically, according to the obtained nominal refrigerating capacity Q nom and the load rate LOAD%, determine the target refrigerating capacity Q of the unit. According to the number of compressors included in the unit, determine the maximum refrigerating capacity Q max and the minimum refrigerating capacity Q min . Compare the target refrigerating capacity with the maximum and minimum refrigerating capacities respectively to determine the output refrigerating capacity corresponding to the current load rate LOAD% according to the comparison result, and then call the database of compressors according to the output refrigerating capacity to determine the performance parameters of the chiller. In this way, by updating different load rates LOAD% for the simulation calculation of the chiller, multiple sets of performance parameters of the chiller operation can be obtained, and relatively optimal performance parameters of the centrifugal chiller can be obtained through multiple sets of performance parameters. Compared with the related art that can only calculate the performance of pre-set compressor combinations, the present disclosure can improve the performance output of the centrifugal chiller in actual applications.

[0014] The above general description and the following description are only exemplary and explanatory, and are not used to limit this application. Description of the Drawings

[0015] One or more embodiments are exemplarily illustrated by corresponding drawings. These exemplary illustrations and the drawings do not constitute a limitation on the embodiments. Elements with the same reference numerals in the drawings are shown as similar elements. The drawings do not constitute a scale limitation, and wherein:

[0016] Figure 1 is a schematic diagram of a method for selecting a centrifugal chiller provided by an embodiment of the present disclosure;

[0017] Figure 2 is a schematic diagram of a method for selecting a centrifugal chiller provided by an embodiment of the present disclosure;

[0018] Figure 3 is a schematic diagram of a method for selecting a centrifugal chiller provided by an embodiment of the present disclosure;

[0019] Figure 4 is a schematic diagram of a method for selecting a centrifugal chiller provided by an embodiment of the present disclosure;

[0020] Figure 5 is a schematic diagram of a method for selecting a centrifugal chiller provided by an embodiment of the present disclosure;

[0021] Figure 6 is a schematic diagram of a method for selecting a centrifugal chiller provided by an embodiment of the present disclosure;

[0022] Figure 7 is a schematic diagram of a method for selecting a centrifugal chiller provided by an embodiment of the present disclosure;

[0023] Figure 8 is a schematic diagram of a method for selecting a centrifugal chiller provided by an embodiment of the present disclosure;

[0024] Figure 9 is a structural block diagram of a device for selecting a centrifugal chiller provided by an embodiment of the present disclosure. Detailed Description of the Invention

[0025] In order to be able to understand the features and technical content of the embodiments of the present disclosure in more detail, the implementation of the embodiments of the present disclosure will be described in detail below with reference to the drawings. The attached drawings are for reference and illustration only and are not used to limit the embodiments of the present disclosure. In the following technical description, for the sake of explanation, a sufficient understanding of the disclosed embodiments is provided through multiple details. However, one or more embodiments can still be implemented without these details. In other cases, well-known structures and devices can be shown in a simplified manner to simplify the drawings.

[0026] In the description, claims, and the above-mentioned drawings of the embodiments of the present disclosure, terms such as "first" and "second" are used to distinguish similar objects, and do not necessarily describe a specific order or sequence. It should be understood that the data used in this way can be interchanged under appropriate circumstances so as to implement the embodiments of the present disclosure described herein. In addition, the terms "comprising" and "having" and any variations thereof are intended to cover non-exclusive inclusion.

[0027] Unless otherwise specified, the term "plurality" means two or more.

[0028] In the embodiments of the present disclosure, the character " / " indicates that the objects before and after are in an "or" relationship. For example, A / B means: A or B.

[0029] The term "and / or" is a description of the associated relationship of objects, indicating that there can be three relationships. For example, A and / or B means: A or B, or, A and B these three relationships.

[0030] The term "corresponding" may refer to an associated relationship or a binding relationship. A corresponding to B means that there is an associated relationship or a binding relationship between A and B.

[0031] In some embodiments, a centrifugal chiller has various compressor combination forms, which may include only one compressor or multiple compressors. The partial load operation of the unit is achieved by adjusting the compressor speed, and each compressor has a lower speed limit. When the lower speed limit is reached, the load cannot be further reduced. For a unit with only one compressor, the lower speed limit is the lower partial load limit of the unit. Usually, the lower partial load limit of each compressor is about 30%. For a unit with multiple compressors, when the speed of one compressor reaches the lower limit, the speed of other compressors can be further reduced. When all compressors reach the lower limit, one or several compressors can be stopped to further reduce the load. Usually, the partial load of multiple compressors can reach about 10%.

[0032] In some embodiments, if a centrifugal chiller includes multiple compressors, the definitions of the maximum cooling capacity and the minimum cooling capacity of the centrifugal chiller are as follows: Q min is the minimum cooling capacity of the unit, Q max is the maximum cooling capacity of the unit. The minimum cooling capacity of a single compressor is Q min i , i = 1, 2,..., N, and the maximum cooling capacity of a single compressor is Q max i , i = 1, 2,..., N, where N is the total number of compressors of the centrifugal chiller, and N is a positive integer.

[0033] Taking the unit including 3 compressors as an example, the minimum cooling capacity Q of the unitmin = sum(Q min 1 , Q min 2 , Q min 3 ). After shutting down 1 unit, Q min = sum(Q min 1 , Q min 2 ). After shutting down 2 units, Q min = Q min 1 . The maximum cooling capacity Q of the unit max = sum(Q max 1 , Q max 2 , Q max 3 ), after shutting down 1 unit, Q max = sum(Q max 1 , Q max 2 ), after shutting down 2 units, Q max = Q max 1 .

[0034] In some embodiments, the centrifugal chiller includes 1 compressor. Then, the maximum cooling capacity Q of the centrifugal chiller max is the maximum cooling capacity of the compressor, and the minimum cooling capacity Q of the centrifugal chiller min is the minimum cooling capacity of the compressor.

[0035] In some embodiments, a selection device for a centrifugal chiller is provided, including a processor and a memory storing program instructions. The processor is configured to execute a selection method for a centrifugal chiller when running the program instructions.

[0036] Optionally, the selection method for a centrifugal chiller runs based on the C# software platform, realizes docking with the database of the centrifugal compressor, and is used to simulate and calculate the part-load performance of the centrifugal chiller to obtain the performance parameters of the unit.

[0037] In some embodiments, as shown in combination with Figure 1 , a selection method for a centrifugal chiller is provided, including:

[0038] S101, the processor obtains the nominal cooling capacity Q nom and the load rate LOAD%.

[0039] S102, the processor according to the nominal cooling capacity Qnom and the load rate LOAD%, determine the target refrigerating capacity Q of the unit.

[0040] S103, the processor determines the maximum refrigerating capacity Q of the unit max and the minimum refrigerating capacity Q min .

[0041] S104, when Q max ≤ Q, the processor determines the performance parameters of the unit corresponding to the load rate LOAD%.

[0042] S105, when Q < Q max , the processor determines the performance parameters of the unit according to the number n of compressors in the operating state.

[0043] The selection method for centrifugal chillers provided by the present disclosure, by inputting the nominal refrigerating capacity Q nom and inputting different load rates LOAD%, can obtain multiple sets of performance parameters for different load rates LOAD%. Specifically, according to the obtained nominal refrigerating capacity Q nom and the load rate LOAD%, determine the target refrigerating capacity Q of the unit. According to the number of compressors included in the unit, determine the maximum refrigerating capacity Q max and the minimum refrigerating capacity Q min . Compare the target refrigerating capacity with the maximum and minimum refrigerating capacities respectively to determine the output refrigerating capacity corresponding to the current load rate LOAD% according to the comparison results, and then according to the output refrigerating capacity, call the database of compressors to determine the performance parameters of the chiller. In this way, by updating different load rates LOAD% for the simulation calculation of the chiller, multiple sets of performance parameters of the chiller operation can be obtained, and relatively optimal performance parameters of the centrifugal chiller can be obtained through multiple sets of performance parameters. Compared with the related art that can only calculate the performance of the preset compressor combination, the present disclosure can improve the performance output of the centrifugal chiller in actual application.

[0044] Optionally, the step of determining the performance parameters of the unit according to the number n of compressors in the operating state s includes: when n ≥ 2, control 1 compressor among the n compressors to shut down. Update the number n of compressors in the operating state. According to the updated number n, update Q min or Q max . According to the updated number n and Q min or Q max , determine the performance parameters of the unit.

[0045] In this embodiment, when the chiller includes multiple compressors, by adjusting the number of compressors and based on the maximum cooling capacity or minimum cooling capacity of the adjusted chiller, the output cooling capacity of the chiller is determined. And according to the obtained output cooling capacity, the database of the compressor is called to calculate the performance parameters of the chiller. In this way, for each load rate LOAD%, multiple sets of performance parameters of the chiller will be obtained, thereby improving the accuracy of chiller selection.

[0046] In some embodiments, in combination with Figure 2 as shown, a method for selecting a centrifugal chiller is provided. The chiller includes multiple compressors, and the selection method includes:

[0047] S201, the processor obtains the rated cooling capacity Q nom and the load rate LOAD%.

[0048] Optionally, input the rated cooling capacity Q nom of the chiller, and the load rate LOAD% participating in the calculation. Among them, each time the load rate LOAD% participating in the calculation takes a different value to calculate the target cooling capacity Q corresponding to different load rates LOAD%.

[0049] S202, the processor determines the target cooling capacity Q nom of the unit according to the rated cooling capacity Q

[0050] Optionally, the target cooling capacity Q = Q nom ×LOAD%.

[0051] S203, the processor determines the maximum cooling capacity Q max and the minimum cooling capacity Q min of the unit.

[0052] When the unit includes multiple compressors, the maximum cooling capacity Q max is equal to the sum of the maximum cooling capacities of multiple compressors, and the minimum cooling capacity Q min of the unit is equal to the sum of the minimum cooling capacities of multiple compressors.

[0053] S204, when Q max ≤Q, the processor determines that the output cooling capacity Q s of the unit corresponding to the load rate LOAD% is Q max .

[0054] When Q max ≤Q, it means that the target cooling capacity has exceeded the maximum cooling capacity that the unit can reach, then the maximum cooling capacity of the unit is taken as the output cooling capacity of the unit.

[0055] In S205, the processor determines whether the number n of compressors in the operating state is greater than or equal to 2. If the result is yes, it proceeds to S206. If the result is no, it proceeds to S211.

[0056] By determining whether the number of compressors in the operating state is greater than or equal to 2, it is determined whether the partial load of the unit can continue to be reduced by shutting down compressors.

[0057] In S206, when n≥2, the processor controls one of the n compressors to shut down.

[0058] If the number n of compressors in the operating state is greater than or equal to 2, it means that the number of compressors currently in the operating state is more than 2. By shutting down one of them, the partial load is further reduced.

[0059] In S207, the processor updates the number n of compressors in the operating state.

[0060] After shutting down one compressor, the number n of compressors in the operating state is updated for the next operation of reducing the partial load.

[0061] In S208, the processor updates Q according to the updated number n. max 。

[0062] According to the updated number of compressors, the maximum refrigerating capacity Q of the unit is re-determined. max 。It is used for calculating the output refrigerating capacity after the number of compressors is adjusted.

[0063] In S209, when the updated Q max ≤Q, the processor outputs the performance parameters of the unit determined according to Q max and the compressor database.

[0064] The compressor database is the parameter data of the compressors provided by the compressor manufacturer. According to the determined output refrigerating capacity, the compressor database is called to calculate the performance parameters of the unit corresponding to the load rate LOAD%.

[0065] In S210, when the updated Q max >Q, the processor saves the performance parameters of the unit determined according to Q max and the compressor database, and returns to S205.

[0066] When the updated Q max >Q, the performance parameters of this calculation are saved and returned, and the performance parameters corresponding to the current load rate LOAD% after shutting down one compressor are continuously calculated.

[0067] S211. When n = 1, the processor selects the optimal group from the saved multiple groups of performance parameters and outputs it.

[0068] When only one compressor remains in the running state among all compressors, compare the multiple groups of performance parameters obtained in the previous calculations, extract the performance parameters of the optimal group among them, and output. In this way, by calculating the performance parameters of compressors with different numbers, comparative analysis can be carried out, obtaining a group of optimal performance parameters, thereby improving the selection accuracy of the water chiller. Further, by calculating different load rates LOAD%, multiple groups of performance parameters corresponding to different load rates LOAD% can be obtained, thereby improving the comprehensiveness of the unit selection calculation and further improving the selection effect of the water chiller.

[0069] In some embodiments, in combination with Figure 3 as shown, a method for selecting a centrifugal water chiller is provided. The water chiller includes multiple compressors, including:

[0070] S301. The processor obtains the rated cooling capacity Q nom and the load rate LOAD%.

[0071] Optionally, input the rated cooling capacity Q nom of the water chiller, and the load rate LOAD% participating in the calculation. Among them, the value of the load rate LOAD% participating in the calculation is different each time to calculate the target cooling capacity Q corresponding to different load rates LOAD%.

[0072] S302. The processor determines the target cooling capacity Q of the unit according to the rated cooling capacity Q nom and the load rate LOAD%.

[0073] Optionally, the target cooling capacity Q = Q nom ×LOAD%.

[0074] S303. The processor determines the maximum cooling capacity Q max and the minimum cooling capacity Q min of the unit.

[0075] In the case where the unit includes multiple compressors, the maximum cooling capacity Q max is equal to the sum of the maximum cooling capacities of multiple compressors, and the minimum cooling capacity Q min of the unit is equal to the sum of the minimum cooling capacities of multiple compressors.

[0076] S304. When Q min ≤Q<Q max , the processor determines that the output cooling capacity Q s corresponding to the load rate LOAD% of the unit is Q.

[0077] At Q min ≤Q < Q max In this case, the target cooling capacity Q is taken as the output cooling capacity Q of the unit s so that the output cooling capacity of the unit is optimized.

[0078] S305, the processor determines whether the number n of compressors in the running state is greater than or equal to 2. If the result is yes, it enters S306. If the result is no, it enters S311.

[0079] By determining whether the number n of compressors in the operating state is greater than or equal to 2, it is determined whether the part load of the unit can continue to be reduced by shutting down the compressor.

[0080] S306, when n≥2, the processor controls 1 of the n compressors to shut down.

[0081] If the number n of compressors in the running state is greater than or equal to 2, it means that the number of compressors currently in the running state is more than 2. By shutting down one of them, the part load is further reduced.

[0082] S307, the processor updates the number n of compressors in the running state.

[0083] After shutting down one compressor, update the number n of compressors in the running state for the next operation of reducing the part load.

[0084] S308, the processor updates Q according to the updated number n max .

[0085] According to the updated number of compressors, re-determine the maximum cooling capacity Q of the unit max . For calculating the output cooling capacity after adjusting the number of compressors.

[0086] S309, when the updated Q max ≤Q, according to Q and the compressor database, determine the performance parameters of the unit and output them.

[0087] The compressor database is the parameter data of the compressor provided by the compressor manufacturer. According to the determined output cooling capacity, call the compressor database to calculate the performance parameters of the unit corresponding to the load rate LOAD%.

[0088] S310, when the updated Q max >Q, according to Q and the compressor database, determine and save the performance parameters of the unit, and return to S305.

[0089] When the updated Q maxIf it is greater than Q, the performance parameters of the current calculation are saved and returned, and the calculation continues to obtain the performance parameters corresponding to the current load rate LOAD% after turning off one compressor.

[0090] S311. When n = 1, the processor selects the optimal group from the saved multiple groups of performance parameters.

[0091] When only one compressor is left running among all the compressors, the multiple groups of performance parameters obtained from the previous several calculations are compared, and the performance parameters of the optimal group are extracted and output. In this way, by calculating the performance parameters of compressors with different numbers, comparative analysis can be carried out to obtain a set of optimal performance parameters, thereby improving the selection accuracy of the water chiller. Further, by calculating different load rates LOAD%, multiple groups of performance parameters corresponding to different load rates LOAD% can be obtained, thereby improving the comprehensiveness of the unit selection calculation and further improving the selection effect of the water chiller.

[0092] In some embodiments, in combination with Figure 4 as shown, a selection method for a centrifugal water chiller is provided. The water chiller includes multiple compressors, including:

[0093] S401. The processor obtains the rated cooling capacity Q nom and the load rate LOAD%.

[0094] Optionally, the rated cooling capacity Q of the water chiller is input nom , and the load rate LOAD% participating in the calculation. Among them, the value of the load rate LOAD% participating in the calculation is different each time to calculate the target cooling capacity Q corresponding to different load rates LOAD%.

[0095] S402. The processor determines the target cooling capacity Q of the unit according to the rated cooling capacity Q nom and the load rate LOAD%.

[0096] Optionally, the target cooling capacity Q = Q nom ×LOAD%.

[0097] S403. The processor determines the maximum cooling capacity Q max and the minimum cooling capacity Q min of the unit.

[0098] When the unit includes multiple compressors, the maximum cooling capacity Q max is equal to the sum of the maximum cooling capacities of the multiple compressors, and the minimum cooling capacity Q min of the unit is equal to the sum of the minimum cooling capacities of the multiple compressors.

[0099] S404. The processor, when Q < Q minIn this case, control one of the n compressors to shut down.

[0100] When the number n of compressors in the running state is greater than or equal to 2, it means that the number of compressors currently in the running state is more than 2. By shutting down one of them, the partial load can be further reduced.

[0101] S405, the processor updates the number n of compressors in the running state.

[0102] After shutting down one compressor, update the number n of compressors in the running state for the next operation of reducing the partial load.

[0103] S406, the processor updates Q according to the updated number n. min 。

[0104] According to the updated number of compressors, re-determine the maximum cooling capacity Q of the unit. min for calculating the output cooling capacity after adjusting the number of compressors.

[0105] S407, the processor determines whether the updated Q min is less than or equal to Q. If the result is yes, go to S408. If the result is no, go to S409.

[0106] By adjusting the number of compressors in the running state, the minimum cooling capacity of the unit is also changed. Then, determine again whether the updated Q min is less than or equal to Q to determine the output cooling capacity of the unit and improve the accuracy of the performance parameters of the unit.

[0107] S408, when the updated Q min ≤Q, the processor determines the performance parameters of the unit according to the updated number n and Q s .

[0108] When the updated Q min ≤Q, determine the output cooling capacity Q of the unit corresponding to the load rate LOAD% s as Q, call the database of compressors, and calculate the performance parameters of the unit including the current number of compressors.

[0109] S409, when the updated Q min >Q, the processor determines whether the updated number n is greater than or equal to 2.

[0110] By determining whether the number n of compressors in the operating state is greater than or equal to 2, it is determined whether the partial load of the unit can continue to be reduced by shutting down the compressor.

[0111] S410. When n = 1, the processor determines the output cooling capacity Q of the unit corresponding to the load rate LOAD%. s It is Q min .

[0112] In the updated Q min > Q and n = 1, the minimum cooling capacity Q of the unit min is used as the output cooling capacity Q of the unit corresponding to the load rate LOAD%. s .

[0113] S411. When n ≥ 2, the processor continues to control one of the compressors in the running state to shut down and returns to S405.

[0114] If the number n of the compressors in the running state is greater than or equal to 2, it means that the number of the compressors in the running state is more than 2. By shutting down one of the compressors, the partial load is further reduced.

[0115] S412. The processor determines the performance parameters of the unit according to the output cooling capacity.

[0116] According to the output cooling capacity Q s , the database of the compressor is called to calculate the performance parameters of the unit when Q < Q min .

[0117] In some embodiments, as shown in Figure 5 , a selection method for a centrifugal chiller is provided. The chiller includes one compressor. The selection method includes:

[0118] S501. The processor obtains the nominal cooling capacity Q nom and the load rate LOAD%.

[0119] S502. The processor determines the target cooling capacity Q of the unit according to the nominal cooling capacity Q nom and the load rate LOAD%.

[0120] S503. The processor determines the maximum cooling capacity Q max and the minimum cooling capacity Q min .

[0121] S504. When Q max ≤ Q, the processor determines the output cooling capacity Q of the unit corresponding to the load rate LOAD% s to be Q max .

[0122] S505. When Q min ≤ Q < Q maxIn the case of, determine the output cooling capacity Q of the unit corresponding to the load rate LOAD%. s Let it be Q.

[0123] S506, when Q < Q min In the case of, determine the output cooling capacity Q of the unit corresponding to the load rate LOAD%. s Let it be Q min .

[0124] S507, the processor determines the performance parameters of the unit according to the output cooling capacity Q s and the database of the compressor.

[0125] In this embodiment, the centrifugal chiller includes 1 compressor. By inputting different load rates LOAD%, the performance parameters of the unit are determined. Different load rates LOAD% correspond to different target cooling capacities. Through the target cooling capacity and the maximum cooling capacity Q max and the minimum cooling capacity Q min , the output cooling capacity Q of the chiller is determined s . Then, according to the output cooling capacity Q s , the database of the compressor is called to calculate the performance parameters of the unit.

[0126] In some embodiments, as shown in Figure 6 , a method for selecting a centrifugal chiller is provided, including:

[0127] S601, the processor determines the combination set of the load rates LOAD% participating in the calculation.

[0128] S602, the processor sequentially obtains the load rates LOAD% in the combination set according to a preset order.

[0129] S603, the processor determines the target cooling capacity Q of the unit according to the nominal cooling capacity Q nom and the load rate LOAD%.

[0130] S604, the processor determines the maximum cooling capacity Q max and the minimum cooling capacity Q min .

[0131] S605, when Q max ≤ Q, then determine the performance parameters of the unit corresponding to the load rate LOAD%.

[0132] S606, when Q < Q max , then determine the performance parameters of the unit according to the number n of the compressors in the operating state.

[0133] In this embodiment, by sequentially obtaining the load factor LOAD% in the combination set according to a preset order, the performance parameters of the unit corresponding to multiple load factors LOAD% can be calculated, thereby improving the comprehensiveness and accuracy of the simulation calculation results of the unit, so as to improve the selection accuracy of the chiller and the energy efficiency in the actual use of the chiller.

[0134] Optionally, the step of determining the combination set of the load factor LOAD% participating in the calculation includes: obtaining multiple load factors LOAD% at preset interval differences between 0 and 100%, and obtaining a combination set including multiple load factors LOAD%.

[0135] In this embodiment, the load factor LOAD% is extracted from 0 to 100% at preset interval differences, and then a combination set including the load factor LOAD% is obtained.

[0136] Among them, the value range of the preset interval difference is 5% to 15%, and the specific values include but are not limited to: 5%, 10% or 15%.

[0137] Optionally, the preset order includes multiple load factors LOAD% from large to small or from small to large.

[0138] Optionally, the compressor database includes but is not limited to: power, operating frequency, pressure, temperature, etc. The specific parameters can be directly called according to actual needs and will not be elaborated here.

[0139] Optionally, the performance parameters include but are not limited to: refrigerating capacity, power, energy efficiency ratio, part-load performance coefficient. In the embodiment of the present application, referring to the working conditions specified in the national standard GB / T18430.1-2007 of the People's Republic of China, the integrated part-load value IPLV (Integrated Part Load Value) and the non-standard part-load performance coefficient NPLV (No-standard Part Load Value) are calculated respectively. It should be noted that the embodiments of the present invention use the conventional IPLV calculation method and NPLV calculation method in the art to calculate IPLV and NPLV. For the sake of brevity of description, the calculation processes of IPLV and NPLV will not be specifically described here.

[0140] Optionally, the centrifugal chiller further includes an economizer. When Q min ≤Q, before the step of determining the performance parameters of the unit corresponding to the load factor LOAD% according to the output refrigerating capacity Q s , it further includes: obtaining the flow rate of the economizer. When the flow rate is less than or equal to zero, control the economizer to close. When the flow rate is greater than zero, control the economizer to maintain the current state.

[0141] In this embodiment, when an economizer is provided in the chiller, during the model selection process, by monitoring the flow rate of the economizer to determine whether the system reports an error. When an error occurs, the economizer needs to be shut down, and then based on the output refrigerating capacity, the database of the compressor is called to calculate the performance parameters of the unit. Specifically, when the flow rate of the economizer obtained is zero, it indicates that the system reports an error. When the flow rate of the economizer obtained is greater than zero, it indicates that the system is normal, and the economizer can maintain its current state. By monitoring the flow rate of the economizer, the accuracy and stability of the chiller model selection are further improved.

[0142] In some embodiments, as shown in Figure 7 a method for selecting a model for a centrifugal chiller is provided. The chiller includes 1 compressor and an economizer. The model selection method includes:

[0143] S701, the processor obtains the rated refrigerating capacity Q nom and the load rate LOAD%.

[0144] S702, the processor determines the target refrigerating capacity Q of the unit according to the rated refrigerating capacity Q nom and the load rate LOAD%.

[0145] S703, the processor determines the maximum refrigerating capacity Q max and the minimum refrigerating capacity Q min .

[0146] S704, the processor determines whether Q is greater than or equal to Q max . If the result is yes, go to S705. If the result is no, go to S706.

[0147] S705, when Q max ≤Q, the processor determines the output refrigerating capacity Q s of the unit corresponding to the load rate LOAD% as Q max .

[0148] S706, the processor determines whether Q is greater than or equal to Q min . If the result is yes, go to S707. If the result is no, go to S712.

[0149] S707, when Q min ≤Q<Q max , the processor determines the output refrigerating capacity Q s of the unit corresponding to the load rate LOAD% as Q.

[0150] S708, the processor determines the performance parameters of the unit according to the output refrigerating capacity Q s and the database of the compressor.

[0151] S709, the processor obtains the flow rate of the economizer.

[0152] S710, the processor determines whether the flow rate of the economizer is zero. If the result is yes, it enters S710. If the result is no, it enters S712.

[0153] S711, when the flow rate is zero, the processor controls the economizer to close.

[0154] S712, the processor re-determines the performance parameters of the unit according to the output refrigerating capacity Q s and the database of the compressor, and outputs them.

[0155] S713, when the flow rate is greater than zero, the processor controls the economizer to maintain its current state and outputs the performance parameters of the unit.

[0156] S714, when Q < Q min , the processor determines the output refrigerating capacity Q s of the unit corresponding to the load rate LOAD% as Q min .

[0157] S715, the processor determines the performance parameters of the unit according to the output refrigerating capacity Q s and the database of the compressor.

[0158] In this embodiment, the centrifugal chiller includes 1 compressor and 1 economizer. By inputting different load rates LOAD%, the performance parameters of the unit are determined. Different load rates LOAD% correspond to different target refrigerating capacities. Through the target refrigerating capacity and the maximum refrigerating capacity Q max and the minimum refrigerating capacity Q min , the output refrigerating capacity Q s of the chiller is determined. When Q min ≤Q x , by monitoring the flow rate of the economizer, it is determined whether the system has an error. When an error occurs, the economizer needs to be closed, and the database of the compressor is called again according to the output refrigerating capacity to calculate the performance parameters of the unit. Specifically, when the obtained flow rate of the economizer is zero, it indicates that the system has an error. When the obtained flow rate of the economizer is greater than zero, it indicates that the system is normal, and the economizer can maintain its current state. The performance parameters of the unit are determined according to the output refrigerating capacity Q s and the database of the compressor. By monitoring the flow rate of the economizer, the accuracy and stability of the chiller selection are further improved.

[0159] In some embodiments, in combination with Figure 8As shown, a method for selecting a centrifugal chiller is provided. The screw chiller includes N compressors and N economizers, where N is a positive integer greater than 1. The selection method includes:

[0160] S801, the processor obtains the rated cooling capacity Q nom and the load rate LOAD%.

[0161] Optionally, input the rated cooling capacity Q of the chiller nom , and the load rate LOAD% involved in the calculation. Among them, the value of the load rate LOAD% involved in each calculation is different to calculate the target cooling capacity Q corresponding to different load rates LOAD%.

[0162] S802, the processor determines the target cooling capacity Q of the unit according to the rated cooling capacity Q nom and the load rate LOAD%.

[0163] Optionally, the target cooling capacity Q = Q nom ×LOAD%.

[0164] S803, the processor determines the maximum cooling capacity Q of the unit max and the minimum cooling capacity Q min .

[0165] In the case where the unit includes multiple compressors, the maximum cooling capacity Q max is equal to the sum of the maximum cooling capacities of multiple compressors, and the minimum cooling capacity Q of the unit min is equal to the sum of the minimum cooling capacities of multiple compressors.

[0166] S804, the processor determines whether Q is greater than or equal to Q max . If the result is yes, go to S805. If the result is no, go to S806.

[0167] S805, when Q max ≤Q, the processor determines that the output cooling capacity Q of the unit corresponding to the load rate LOAD% s is Q max .

[0168] When Q max ≤Q, it means that the target cooling capacity has exceeded the maximum cooling capacity that the unit can reach, so the maximum cooling capacity of the unit is used as the output cooling capacity of the unit.

[0169] S806, the processor determines whether Q is greater than or equal to Q min . If the result is yes, go to S807. If the result is no, go to S816.

[0170] S807, when Q min ≤Q<Qmax In the case of, determine the output refrigerating capacity Q of the unit corresponding to the load rate LOAD%. s Let it be Q.

[0171] When Q min ≤Q<Q max In this case, take the target refrigerating capacity Q as the output refrigerating capacity Q of the unit s so that the output refrigerating capacity of the unit is optimal.

[0172] S808, the processor determines the performance parameters of the unit according to the output refrigerating capacity Q s and the database of the compressor.

[0173] The database of the compressor is the parameter data of the compressor provided by the manufacturer of the compressor. According to the determined output refrigerating capacity, call the compressor database to calculate the performance parameters of the unit corresponding to the load rate LOAD%.

[0174] S809, the processor respectively obtains the flow rates of N economizers.

[0175] By monitoring the flow rates of the economizers, determine whether the system reports an error.

[0176] S810, the processor respectively determines whether the flow rates of N economizers are zero.

[0177] S811, the processor controls the economizer with a flow rate equal to zero to close.

[0178] S812, the processor re-determines the performance parameters of the unit according to the output refrigerating capacity Q s and the database of the compressor.

[0179] When the flow rate of the obtained economizer is zero, it indicates that the system reports an error and the economizer needs to be closed. Re-call the compressor database according to the output refrigerating capacity to calculate the performance parameters of the unit.

[0180] S813, when the flow rates of N economizers are all greater than zero, the processor controls N economizers to maintain their current states.

[0181] When the flow rate of the obtained economizer is greater than zero, it indicates that the system is normal and the economizer can maintain its current state. By monitoring the flow rate of the economizer, the accuracy and stability of the selection of the water chiller are further improved.

[0182] S814, the processor determines whether Q is greater than or equal to Q max . If the result is yes, enter S815. If the result is no, enter S816.

[0183] By judging Q and Q again max, after adjusting for the number of compressors, re-determine the maximum refrigerating capacity Q of the unit according to the updated number of compressors. max . For calculating the output refrigerating capacity after adjusting the number of compressors.

[0184] S815, the processor outputs the performance parameters of the unit.

[0185] In the case of the updated Q max ≤Q, the compressor database is the parameter data of the compressors provided by the compressor manufacturer. According to the determined output refrigerating capacity, call the compressor database and calculate the performance parameters of the unit corresponding to the load rate LOAD%.

[0186] S816, the processor temporarily stores the re-determined performance parameters of the unit.

[0187] When the updated Q max >Q, then save the performance parameters calculated this time.

[0188] S817, the processor determines the number n of compressors in the running state.

[0189] S818, the processor determines whether n is less than 2. If the result is yes, go to step S819. If the result is no, go to step S820.

[0190] By determining whether the number n of compressors in the operating state is greater than or equal to 2, it is determined whether the partial load of the unit can continue to be reduced by shutting down the compressors.

[0191] S819, the processor compares multiple sets of stored performance parameters, extracts the optimal set of performance parameters from the multiple sets of performance parameters, and outputs them.

[0192] When only one compressor is left in the running state among all compressors, then compare the multiple sets of performance parameters obtained in the previous several calculations, extract the optimal set of performance parameters among them, and output them. In this way, by calculating the performance parameters of different numbers of compressors, it is possible to conduct a comparative analysis, obtain a set of optimal performance parameters, and thus improve the selection accuracy of the chiller. Further, by calculating different load rates LOAD%, multiple sets of performance parameters corresponding to multiple load rates LOAD% can be obtained, thereby improving the comprehensiveness of the unit selection calculation and further improving the selection effect of the chiller.

[0193] S820, the processor controls one of the n compressors to be shut down and updates Q max , and return to S808.

[0194] If the number n of compressors in the operating state is greater than or equal to 2, it means that the number of compressors in the current operating state is more than 2. By shutting down one of the compressors, the partial load can be further reduced. And update the number n of compressors in the operating state and Q max 。

[0195] S821, when Q < Q min the processor controls one of the compressors in the operating state to shut down and updates the minimum cooling capacity Q of the unit min 。

[0196] If the number n of compressors in the operating state is greater than or equal to 2, it means that the number of compressors in the current operating state is more than 2. By shutting down one of the compressors, the partial load can be further reduced.

[0197] S822, the processor judges whether the updated Q min is less than or equal to Q. If the result is yes, go to S807. If the result is no, go to S823.

[0198] By adjusting the number of compressors in the operating state, in this way, the minimum cooling capacity of the unit also changes. Then judge again whether the updated Q min is less than or equal to Q to determine the output cooling capacity of the unit and improve the accuracy of the performance parameters of the unit.

[0199] And when the updated Q min ≤Q, then determine the output cooling capacity Q of the unit corresponding to the load rate LOAD% s as Q, return to S807, and continue to calculate the performance parameters of the unit.

[0200] S823, the processor judges whether the number n of compressors in the operating state is less than 2. If the result is yes, go to S824. If the result is no, go to S826.

[0201] When the updated Q min >Q, by judging whether the number n of compressors in the operating state is greater than or equal to 2, to determine whether the partial load of the unit can continue to be reduced by shutting down the compressor.

[0202] S824, the processor determines the output cooling capacity Q of the unit corresponding to the load rate LOAD% s as Q min 。

[0203] When the updated Q min >Q and n = 1, the minimum cooling capacity Q of the unit minThe output refrigerating capacity Q of the unit corresponding to the load rate LOAD% s 。

[0204] S825, the processor determines the performance parameters of the unit according to the output refrigerating capacity Q s and the database of the compressor, and outputs them.

[0205] According to the output refrigerating capacity Q s , call the database of the compressor and calculate the performance parameters of the unit when Q < Q min .

[0206] Combined Figure 9 As shown, the embodiment of the present disclosure provides a selection device 90 for a centrifugal chiller, including a processor 900 and a memory 901. Optionally, the device 90 may further include a communication interface 902 and a bus 903. Among them, the processor 900, the communication interface 902, and the memory 901 can complete mutual communication through the bus 903. The communication interface 902 can be used for information transmission. The processor 900 can call the logical instructions in the memory 901 to execute the selection method for the centrifugal chiller in the above embodiment.

[0207] In addition, when the logical instructions in the above memory 901 are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium.

[0208] The memory 901, as a computer-readable storage medium, can be used to store software programs and computer-executable programs, such as the program instructions / modules corresponding to the method in the embodiment of the present disclosure. The processor 100 executes functional applications and data processing by running the program instructions / modules stored in the memory 901, that is, implements the selection method for the centrifugal chiller in the above embodiment.

[0209] The memory 901 may include a program storage area and a data storage area. Among them, the program storage area can store an operating system and application programs required for at least one function. The data storage area can store data created according to the use of the terminal device, etc. In addition, the memory 901 may include a high-speed random access memory and may also include a non-volatile memory.

[0210] The embodiment of the present disclosure provides a computer-readable storage medium storing computer-executable instructions, and the computer-executable instructions are set to execute the above selection method for the centrifugal chiller.

[0211] The technical solution of the embodiments of the present disclosure can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes one or more instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the method described in the embodiments of the present disclosure. The foregoing storage medium may be a non-transitory storage medium, such as: a USB flash drive, a mobile hard disk, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), a magnetic disk, or an optical disc, and other media that can store program codes.

[0212] The above description and the drawings fully illustrate the embodiments of the present disclosure so that those skilled in the art can practice them. Other embodiments may include structural, logical, electrical, process, and other changes. Embodiments merely represent possible variations. Unless explicitly required, separate components and functions are optional, and the order of operations may vary. Parts and features of some embodiments may be included in or substituted for parts and features of other embodiments. Moreover, the terms used in this application are only for describing the embodiments and are not used to limit the claims. As used in the description of the embodiments and the claims, unless the context clearly indicates otherwise, the singular forms "a", "an", and "the" are intended to also include the plural forms. Similarly, as used in this application, the term "and / or" refers to any and all possible combinations including one or more of the associated listed items. Additionally, when used in this application, the term "comprise" and its variants "comprises" and / or "comprising" etc. mean the presence of the stated features, wholes, steps, operations, elements, and / or components, but do not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components, and / or groups of these. Without further limitation, an element defined by the statement "comprising one..." does not exclude the presence of additional identical elements in the process, method, or device comprising the element. In this document, what each embodiment focuses on may be the differences from other embodiments, and the same or similar parts among the various embodiments may be referred to each other. For the methods, products, etc. disclosed in the embodiments, if they correspond to the method part disclosed in the embodiments, the relevant parts may refer to the description of the method part.

[0213] Those skilled in the art can realize that the units and algorithm steps of each example described in combination with the embodiments disclosed herein can be implemented by electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are executed in a hardware or software manner may depend on the specific application and design constraints of the technical solution. The skilled person can use different methods for each specific application to implement the described functions, but such implementation should not be considered to exceed the scope of the embodiments of the present disclosure. The skilled person can clearly understand that for the convenience and conciseness of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the foregoing method embodiments and will not be elaborated herein.

[0214] In the embodiments disclosed herein, the disclosed methods, products (including but not limited to devices, equipment, etc.) can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of the units can be merely a logical function division, and there can be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Additionally, the displayed or discussed couplings or direct couplings or communication connections to each other can be through some interfaces, and the indirect couplings or communication connections of the devices or units can be in electrical, mechanical or other forms. The units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they can be located in one place or distributed to multiple network units. Some or all of the units can be selected according to actual needs to implement this embodiment. Additionally, in the embodiments of the present disclosure, the functional units can be integrated in one processing unit, or each unit can exist physically separately, or two or more units can be integrated in one unit.

[0215] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to embodiments of the present disclosure. In this regard, each block in the flowchart or block diagram may represent a module, a segment of a program, or a portion of code, which contains one or more executable instructions for implementing the specified logical function. In some alternative implementations, the functions noted in the blocks may occur in a different order than noted in the accompanying drawings. For example, two consecutive blocks may in fact be executed substantially in parallel, or they may sometimes be executed in the reverse order, depending on the functions involved. In the descriptions corresponding to the flowcharts and block diagrams in the accompanying drawings, the operations or steps corresponding to different blocks may also occur in a different order than disclosed in the description, and sometimes there is no specific order between different operations or steps. For example, two consecutive operations or steps may in fact be executed substantially in parallel, or they may sometimes be executed in the reverse order, depending on the functions involved. Each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, may be implemented by a dedicated hardware-based system that performs the specified functions or actions, or may be implemented by a combination of dedicated hardware and computer instructions.

Claims

1. A selection method for centrifugal chillers, characterized in that, Including: Obtain the rated cooling capacity Q nom and the load rate LOAD%; According to the nominal refrigerating capacity Q nom and the load factor LOAD%, determine the target refrigerating capacity Q of the unit; Determine the maximum cooling capacity Q of the unit max and the minimum cooling capacity Q min ; At Q max When Q ≤ Q, the performance parameters of the unit corresponding to the load factor LOAD% are determined; When Q < Q max , the performance parameters of the unit are determined according to the number n of the compressors in the operating state.

2. The option selection method according to claim 1, wherein The steps of determining the performance parameters of the unit according to the number n of compressors in the operating state include: When n≥2, control one of the n compressors to shut down; Update the number n of compressors in the operating state; Update Q according to the updated quantity n min or Q max ; Based on the updated quantities n and Q min or Q max , determine the performance parameters of the unit.

3. The selection method according to claim 2, wherein At Q min ≤ Q < Q max In the case of, according to the updated quantity n and Q max , the steps for determining the performance parameters of the unit include: Determine the output refrigerating capacity Q of the unit corresponding to the load rate LOAD%; s Let it be Q; In the case of the updated Q max When it is less than or equal to Q, determine the performance parameters of the unit according to the database of Q and the compressor, and output them; In the case of the updated Q max When Q > Q, determine the performance parameters of the unit according to the database of Q and the compressor, and save them; Until n = 1, select the optimal group from the saved multiple groups of performance parameters.

4. The option selection method according to claim 2, wherein When Q < Q min , the steps of determining the performance parameters of the unit according to the updated quantity n and Q min include: In the case of the updated Q min If it is less than or equal to Q, the performance parameters of the unit are determined according to the updated quantity n; In the updated Q min If it is greater than Q, then determine whether the updated quantity n is equal to 1; In the case of n = 1, determine the output cooling capacity Q of the unit corresponding to the load factor LOAD% s is Q min ; When n≥2, continue to control one of the compressors in the operating state to shut down.

5. The option selection method according to claim 1, characterized in that The steps of determining the performance parameters of the unit according to the number n of compressors in the operating state include: Determine that the number n of compressors in the operating state is equal to 1; At Q min ≤Q < Q max In the case of, determine the output refrigerating capacity Q of the unit corresponding to the load factor LOAD% s as Q; When Q < Q min , determine the output cooling capacity Q of the unit corresponding to the load factor LOAD% s as Q min ; According to the output cooling capacity Q s and the database of the compressor, determine the performance parameters of the unit.

6. The option selection method according to any one of claims 1 to 5, characterized in that After the step of obtaining the load rate LOAD%, it includes: Determine the combination set of load rates LOAD% participating in the calculation; Obtain the load rate LOAD% in the combination set in sequence according to the preset order.

7. The option selection method according to claim 6, characterized in that The steps of determining the combination set of load rates LOAD% participating in the calculation include: Obtain multiple load rates LOAD% at preset interval differences between 0 and 100% to obtain a combination set including multiple load rates LOAD%.

8. The option selection method according to any one of claims 1 to 5, characterized in that The unit includes an economizer. When Q min ≤Q, before the step of determining the performance parameters of the unit corresponding to the load rate LOAD% according to the output refrigerating capacity Q s , it further includes: Obtain the flow rate of the economizer; When the flow rate is less than or equal to zero, control the economizer to shut down; When the flow rate is greater than zero, control the economizer to maintain the current state.

9. A selection device for a centrifugal chiller, comprising a processor and a memory storing program instructions, characterized in that, The processor is configured to execute the model selection method for centrifugal chillers according to any one of claims 1 to 8 when running the program instructions.

10. A readable storage medium stores program instructions, characterized in that, When running, the program instructions are used to cause the computer to execute the model selection method for centrifugal chillers according to any one of claims 1 to 8.

Images