Method and apparatus for energy efficiency optimization of air conditioning system

Abstract

The application discloses an energy efficiency optimization method and device of an air conditioning system, and belongs to the technical field of air conditioning optimization. The energy efficiency optimization method of the air conditioning system comprises the following steps: obtaining equipment operation characteristics of an air conditioning system to be optimized, and actual power of each equipment under target load conditions and target external meteorological conditions; determining energy efficiency models of the air conditioning system before and after replacement of a target equipment based on the equipment operation characteristics and the actual power, wherein the energy efficiency models are used for representing the relationship between the operation mode of the air conditioning system and the system energy efficiency; determining the maximum energy efficiency and the corresponding operation mode of the air conditioning system before and after replacement of the target equipment based on the energy efficiency models; and determining an optimization scheme of the air conditioning system based on the maximum energy efficiency and the corresponding operation mode of the air conditioning system before and after replacement of the target equipment. According to the method, at least two optimization schemes with different costs can be determined according to external meteorological conditions of a place where the air conditioning system is located, the accuracy is higher, and the actual use effect is better.

Description

Technical Field

[0001] This application belongs to the field of air conditioning optimization technology, and in particular relates to a method and apparatus for optimizing the energy efficiency of an air conditioning system. Background Technology

[0002] Energy conservation and emission reduction are a consensus in today's society. Building operations generate significant carbon emissions, with air conditioning accounting for the largest share of total building energy consumption. Therefore, optimizing the energy efficiency of air conditioning systems can effectively achieve energy conservation and emission reduction in building operations. Methods for optimizing the energy efficiency of air conditioning systems generally provide evaluation indicators under typical and cumulative operating conditions, which are only a general and rough optimization approach. Their effectiveness in improving the energy efficiency of specific air conditioning systems is limited. Summary of the Invention

[0003] This application aims to solve at least one of the technical problems existing in the prior art. To this end, this application proposes an energy efficiency optimization method and apparatus for an air conditioning system, which achieves good energy efficiency optimization results.

[0004] In a first aspect, this application provides a method for optimizing the energy efficiency of an air conditioning system, the method comprising:

[0005] The equipment operating characteristics of the air conditioning system to be optimized, as well as the actual power of each device under target load conditions and target external weather conditions, are obtained. The equipment operating characteristics of the target device to be replaced in the air conditioning system include the first equipment operating characteristics before replacement and the second equipment operating characteristics after replacement.

[0006] Based on the operating characteristics and actual power of the equipment, the energy efficiency model of the air conditioning system before and after the target equipment is replaced is determined. The energy efficiency model is used to characterize the relationship between the operating mode of the air conditioning system and the system energy efficiency.

[0007] Based on the energy efficiency model, the maximum energy efficiency and corresponding operating mode of the air conditioning system before and after replacing the target equipment are determined;

[0008] Based on the maximum energy efficiency and corresponding operating mode of the air conditioning system before and after replacing the target equipment, an optimization scheme for the air conditioning system is determined.

[0009] According to the energy efficiency optimization method for air conditioning systems in this application, at least two optimization schemes with different costs are determined based on the external meteorological conditions of the location of the air conditioning system, resulting in higher accuracy and better actual performance.

[0010] According to one embodiment of this application, determining the energy efficiency model of the air conditioning system before and after replacing the target equipment, based on the operating characteristics and actual power of the equipment, includes:

[0011] Based on the operating characteristics and actual power of the equipment, determine the sub-models corresponding to each device in the air conditioning system;

[0012] Based on the matching relationship between the target output and the target setting parameters of the sub-model corresponding to each device of the air conditioning system, the values ​​of the target setting parameters are adjusted to determine the energy efficiency model of the air conditioning system.

[0013] According to one embodiment of this application, the air conditioning system includes: a surface cooler, a chiller, a refrigeration pump connected between the surface cooler and the chiller, a cooling tower, and a cooling pump connected between the chiller and the cooling tower; the target load condition includes target inlet air parameters and target supply air temperature;

[0014] The process of matching the target output with the target setting parameters of the sub-models corresponding to each device in the air conditioning system, adjusting the values ​​of the target setting parameters, and determining the energy efficiency model of the air conditioning system includes:

[0015] The target load conditions and the target external meteorological conditions are input into the first sub-model to obtain the chilled water flow rate m output by the first sub-model. w,chilled Cooling water flow rate (m) w,cool Refrigeration pump power (W) pump,chilled and cooling pump power W pump,cool The first sub-model is used to characterize the characteristics of the piping network and pumps in the air conditioning system.

[0016] The target air intake parameters and the set cooling water return temperature t cool,in The cooling water flow rate m output by the first sub-model w,cool The input is fed into the second sub-model to obtain the cooling water supply temperature t output by the second sub-model. cool,out and cooling tower power W tower The second sub-model is used to characterize the properties of the cooling tower.

[0017] The target air intake parameters and the set chilled water supply temperature t chilled,in The chilled water flow rate m output by the first sub-model w,chilled The input is fed into the third sub-model, and the chilled water return temperature t is obtained from the output of the third sub-model. chilled,out and supply air temperature t a,out' The third sub-model is used to characterize the properties of the surface cooler; the set chilled water supply temperature t chilled,in The air supply temperature t output by the third sub-model a,out' Adjust the matching with the target supply air temperature;

[0018] The supply air temperature t output by the third sub-model a,out'When matching the target air supply temperature, the set chilled water supply temperature t chilled,in The chilled water flow rate (m) output by the first sub-model w,chilled and cooling water flow rate (m) w,cool The cooling water supply temperature t output by the second sub-model cool,out The chilled water return temperature t output by the third sub-model chilled,out The input is fed into the fourth sub-model to obtain the cooling water return temperature t output by the fourth sub-model. cool,in' Refrigeration unit power (W) chilled and evaporation load Q e The fourth sub-model is used to characterize the features of the chiller; the set cooling water return temperature t cool,in The cooling water return temperature t output by the fourth sub-model cool,in' With the set cooling water return temperature t cool,in Adjustments to the matching criteria;

[0019] The cooling water return temperature t output by the fourth sub-model cool,in' With the set cooling water return temperature t cool,in Under the condition of matching, the energy efficiency model of the air conditioning system is determined; wherein, the chilled pump power W output by the first sub-model is... pump,chilled and cooling pump power W pump,cool The cooling tower power W output by the second sub-model tower The chiller power W output by the fourth sub-model chilled and evaporation load Q e Used to determine the energy efficiency of the air conditioning system.

[0020] According to one embodiment of this application, the set chilled water supply temperature t chilled,in The chilled water flow rate (m) output by the first sub-model w,chilled and cooling water flow rate (m) w,cool The cooling water supply temperature t output by the second sub-model cool,out The chilled water return temperature t output by the third sub-model chilled,out The input is fed into the fourth sub-model to obtain the cooling water return temperature t output by the fourth sub-model. cool,in' Refrigeration unit power (W) chilled and evaporation load Q e ,include:

[0021] Set the chilled water supply temperature t chilled,in The chilled water flow rate (m) output by the first sub-model w,chilled The chilled water return temperature t output by the third sub-model chilled,out The input is given to the evaporator model, and the evaporation temperature t output by the evaporator model is obtained. eCondensation temperature t c and evaporation load Q e ;

[0022] The evaporation temperature t output by the evaporator model e and condensation temperature t c The input is given to the compressor model to obtain the chiller power W output by the compressor model. chilled and condensation load Q c ;

[0023] cooling water flow rate m w,cool The cooling water supply temperature t output by the second sub-model cool,out and the condensing load Q output by the evaporator model c The input is given to the condenser model to obtain the cooling water return temperature t output by the condenser model. cool,in '.

[0024] According to one embodiment of this application, the energy efficiency optimization method for the air conditioning system further includes:

[0025] Update the system configuration of the air conditioning system to be optimized;

[0026] Obtain the updated equipment operating characteristics of the air conditioning system;

[0027] Based on the equipment operating characteristics of the updated air conditioning system, the energy efficiency model of the updated air conditioning system is determined;

[0028] Based on the updated energy efficiency model of the air conditioning system, the maximum energy efficiency and corresponding operating mode of the updated air conditioning system are determined. The maximum energy efficiency and corresponding operating mode of the updated air conditioning system are used to determine the optimization scheme of the air conditioning system.

[0029] According to one embodiment of this application, determining the maximum energy efficiency and corresponding operating mode of the air conditioning system before and after replacing the target equipment based on the energy efficiency model includes:

[0030] Based on the energy efficiency model of the air conditioning system before the target equipment is replaced, the energy efficiency of the air conditioning system under each operating mode before the target equipment is replaced is determined.

[0031] Based on the energy efficiency of each operating mode, the maximum energy efficiency and corresponding operating mode of the air conditioning system before the target equipment is replaced are obtained.

[0032] Based on the energy efficiency model of the air conditioning system after the target equipment is replaced, the energy efficiency of the air conditioning system under each operating mode after the target equipment is replaced is determined.

[0033] Based on the energy efficiency under each operating mode, the maximum energy efficiency and corresponding operating mode of the air conditioning system after replacing the target equipment are obtained.

[0034] Secondly, this application provides an energy efficiency optimization device for an air conditioning system, the device comprising:

[0035] The first acquisition module is used to acquire the equipment operating characteristics of the air conditioning system to be optimized, as well as the actual power of each device under the target load conditions and the target external weather conditions. The equipment operating characteristics of the target device to be replaced in the air conditioning system include the first equipment operating characteristics before replacement and the second equipment operating characteristics after replacement.

[0036] The first processing module is used to determine the energy efficiency model of the air conditioning system before and after replacing the target equipment based on the operating characteristics and actual power of the equipment. The energy efficiency model is used to characterize the relationship between the operating mode of the air conditioning system and the system energy efficiency.

[0037] The second processing module is used to determine the maximum energy efficiency and corresponding operating mode of the air conditioning system before and after replacing the target equipment, based on the energy efficiency model.

[0038] The third processing module is used to determine the optimization scheme of the air conditioning system based on the maximum energy efficiency and corresponding operating mode of the air conditioning system before and after the target equipment is replaced.

[0039] According to the energy efficiency optimization device for air conditioning systems disclosed in this application, at least two optimization schemes with different costs can be determined based on the external meteorological conditions of the location of the air conditioning system, resulting in higher accuracy and better actual performance.

[0040] Thirdly, this application provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the energy efficiency optimization method for the air conditioning system as described in the first aspect above.

[0041] Fourthly, this application provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the energy efficiency optimization method for the air conditioning system as described in the first aspect above.

[0042] Fifthly, this application provides a chip including a processor and a communication interface, the communication interface being coupled to the processor, the processor being used to run programs or instructions to implement the energy efficiency optimization method for the air conditioning system as described in the first aspect.

[0043] In a sixth aspect, this application provides a computer program product, including a computer program that, when executed by a processor, implements the energy efficiency optimization method for an air conditioning system as described in the first aspect above.

[0044] Additional aspects and advantages of this application will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of this application. Attached Figure Description

[0045] The above and / or additional aspects and advantages of this application will become apparent and readily understood from the description of the embodiments taken in conjunction with the following drawings, in which:

[0046] Figure 1 This is one of the flowcharts illustrating the energy efficiency optimization method for an air conditioning system provided in this application embodiment;

[0047] Figure 2 This is a second schematic flowchart of the energy efficiency optimization method for an air conditioning system provided in the embodiments of this application;

[0048] Figure 3 This is the third flowchart illustrating the energy efficiency optimization method for an air conditioning system provided in this application embodiment;

[0049] Figure 4 This is the fourth flowchart illustrating the energy efficiency optimization method for an air conditioning system provided in this application embodiment;

[0050] Figure 5 This is the fifth flowchart illustrating the energy efficiency optimization method for an air conditioning system provided in this application embodiment;

[0051] Figure 6 This is one of the structural schematic diagrams of the air conditioning system provided in the embodiments of this application;

[0052] Figure 7 This is the second structural schematic diagram of the air conditioning system provided in the embodiments of this application;

[0053] Figure 8 This is a comparative diagram of the optimization effects of the energy efficiency optimization method for the air conditioning system provided in the embodiments of this application;

[0054] Figure 9 This is a schematic diagram of the structure of the energy efficiency optimization device for the air conditioning system provided in the embodiments of this application;

[0055] Figure 10 This is a schematic diagram of the structure of the electronic device provided in the embodiments of this application. Detailed Implementation

[0056] The technical solutions of the embodiments of this application will be clearly described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this application. All other embodiments obtained by those skilled in the art based on the embodiments of this application are within the scope of protection of this application.

[0057] The terms "first," "second," etc., used in the specification and claims of this application are used to distinguish similar objects and not to describe a specific order or sequence. It should be understood that such use of data can be interchanged where appropriate so that embodiments of this application can be implemented in orders other than those illustrated or described herein, and the objects distinguished by "first," "second," etc., are generally of the same class and the number of objects is not limited; for example, a first object can be one or more. Furthermore, in the specification and claims, "and / or" indicates at least one of the connected objects, and the character " / " generally indicates that the preceding and following objects are in an "or" relationship.

[0058] In related technologies, there are two ways to optimize the energy efficiency of air conditioning systems:

[0059] Firstly, a digital model is created based on the characteristics of the air conditioning system. Then, the energy efficiency level after optimizing the system control strategy under given operating conditions is predicted, and suggestions are given for the system control method. However, this approach only optimizes the control method, limiting the potential for energy efficiency improvement.

[0060] Secondly, the performance of the equipment used in the system is evaluated based on measured data, and the equipment is selected and optimized to improve equipment performance and thus improve the system's operating energy efficiency. However, this method only considers the performance of the equipment itself, without considering the overall air conditioning system, and it is difficult to assess the actual improvement effect.

[0061] In addition, neither of the above two methods takes into account the local meteorological conditions of the building, as well as the building's heat and humidity load characteristics, so the effect of energy efficiency optimization and improvement is limited.

[0062] The energy efficiency optimization method, energy efficiency optimization device, electronic device, and readable storage medium for air conditioning systems provided in this application will be described in detail below with reference to the accompanying drawings and through specific embodiments and application scenarios.

[0063] The energy efficiency optimization method for an air conditioning system provided in this application embodiment can be executed by an electronic device or a functional module or entity in an electronic device that can implement the energy efficiency optimization method for the air conditioning system. The electronic devices mentioned in this application embodiment include, but are not limited to, mobile phones, tablets, computers, cameras, and wearable devices. The energy efficiency optimization method for an air conditioning system provided in this application embodiment is described below using an electronic device as the execution subject.

[0064] like Figure 1 As shown, the energy efficiency optimization method for the air conditioning system includes steps 110, 120 and 130.

[0065] Step 110: Obtain the equipment operating characteristics of the air conditioning system to be optimized, as well as the actual power of each device under the target load conditions and target external weather conditions;

[0066] Among them, the equipment operating characteristics of the target equipment to be replaced in the air conditioning system include the first equipment operating characteristics before replacement and the second equipment operating characteristics after replacement;

[0067] An air conditioning system consists of multiple devices, and the operating characteristics of these devices affect the overall energy efficiency of the air conditioning system.

[0068] In such Figure 6 In the embodiment shown, the air conditioning system includes: a surface cooler 610, a blower 620, a first chilled pump 631, a second chilled pump 632, a first chiller 641, a second chiller 642, a first cooling pump 651, a second cooling pump 652, a first cooling tower 661, and a second cooling tower 662.

[0069] Return air and fresh air converge into the air supply duct. The surface cooler 610 is installed in the air supply duct, and the air supply fan 620 is also installed inside the air supply duct.

[0070] The surface cooler 610 is connected to the evaporators of the first chiller 641 and the second chiller 642 via pipelines. The pipelines are also equipped with a first refrigeration pump 631 and a second refrigeration pump 632 connected in parallel. The evaporators of the first chiller 641 and the second chiller 642 are connected in parallel. The condensers of the first chiller 641 and the second chiller 642 are connected to the first cooling tower 661 and the second cooling tower 662 connected in parallel via pipelines. The pipelines are also equipped with a first cooling pump 651 and a second cooling pump 652 connected in parallel.

[0071] Equipment operating characteristics are used to characterize the heat exchange-related properties of the equipment, such as the chilled water supply temperature and flow rate of the surface cooler, the cooling water return temperature and flow rate of the cooling tower, the pump head and flow rate, the pressure difference and resistance of the pipeline network, and the chilled water supply temperature, chilled water return temperature, cooling water supply temperature, and cooling water return temperature of the chiller.

[0072] The target external meteorological conditions include outdoor environmental parameters, including outdoor dry-bulb temperature and outdoor wet-bulb temperature. The target load conditions of the air conditioning system include intake air parameters and supply air parameters. Intake air parameters may include intake air temperature and intake air humidity; supply air parameters may include supply air temperature and supply air humidity.

[0073] In this step, the actual power of each device under the target load conditions and target external weather conditions is obtained and used to verify the accuracy of the model determined in subsequent steps.

[0074] Step 120: Based on the equipment operating characteristics and actual power, determine the energy efficiency model of the air conditioning system before and after replacing the target equipment. The energy efficiency model is used to characterize the relationship between the operating mode of the air conditioning system and the system energy efficiency.

[0075] The operating mode includes the operating status of each device, in order to Figure 6 Taking the illustrated embodiment as an example, the flow rate of the refrigerant can be adjusted by regulating the on / off state of the first refrigerant pump 631 and the second refrigerant pump 632; the temperature of the refrigerant can be adjusted by regulating the on / off state of the first chiller 641 and the second chiller 642; the temperature of the coolant can be adjusted by regulating the on / off state of the first cooling pump 651 and the second cooling pump 652; and the temperature of the coolant can be adjusted by regulating the on / off state of the first cooling tower 661 and the second cooling tower 662.

[0076] Different operating modes of an air conditioning system result in different on / off states of its equipment, leading to different system energy efficiencies.

[0077] In this step, the energy efficiency model of the air conditioning system before the target equipment is replaced can be determined. The operating mode information of the air conditioning system is input into the energy efficiency model, and the system energy efficiency output by the energy efficiency model can be obtained.

[0078] In this step, the energy efficiency model of the air conditioning system after replacing the target equipment can also be determined. The operating mode information of the air conditioning system is input into this energy efficiency model to obtain the system energy efficiency output by the model. The target equipment can be a relatively poor-performing device in the air conditioning system, or factors such as equipment price can be considered to comprehensively determine which device is the target equipment for replacement and optimization.

[0079] Because the actual power is used in this step to test the accuracy of the model and adjust the model, it is equivalent to taking into account the local meteorological conditions of the building during the model's creation process, resulting in a higher accuracy of the energy efficiency model.

[0080] In actual implementation, a mathematical model can be built based on the heat exchange principle and the operating characteristics of the equipment; or an energy efficiency model can be trained using a deep neural network, with the training samples being the operating modes of the air conditioning system and the sample labels being the actual power.

[0081] Step 130: Based on the energy efficiency model, determine the maximum energy efficiency and corresponding operating mode of the air conditioning system before and after replacing the target equipment;

[0082] Using the energy efficiency model determined in step 130 before replacing the target equipment, the maximum energy efficiency and the corresponding operating mode can be obtained. By comparing the maximum energy efficiency with the initial energy efficiency, the potential for energy efficiency improvement brought about by operating mode optimization can be determined.

[0083] Using the energy efficiency model determined in step 130 after replacing the target equipment, the maximum energy efficiency and the corresponding operating mode can be obtained. By comparing the maximum energy efficiency with the initial energy efficiency, the potential for energy efficiency improvement brought about by equipment optimization and operating mode optimization can be determined.

[0084] Step 140: Based on the maximum energy efficiency and corresponding operating mode of the air conditioning system before and after replacing the target equipment, determine the optimization scheme of the air conditioning system.

[0085] After determining the maximum energy efficiency and corresponding operating mode before replacing the target equipment, the potential energy efficiency improvement brought about by operating mode optimization can be obtained. The energy efficiency improvement potential is used to characterize the improvement between the maximum energy efficiency and the initial energy efficiency, for example:

[0086] Operating mode optimization potential for energy efficiency improvement = maximum energy efficiency before replacing the target equipment / initial energy efficiency - 1.

[0087] After determining the maximum energy efficiency and corresponding operating mode after replacing the target equipment, the potential for energy efficiency improvement brought about by equipment optimization can be obtained, for example:

[0088] Equipment optimization energy efficiency improvement potential = maximum energy efficiency after replacing the target equipment / maximum energy efficiency before replacing the target equipment - 1.

[0089] Based on the above potential, and taking into account the optimization costs, an optimization plan can be determined.

[0090] For example, if the benefits of the maximum energy efficiency after replacing the target equipment are greater than the cost of replacing the target equipment, then the optimization solution for the air conditioning system can be determined as replacing the target equipment, and the operating mode of the air conditioning system can be determined as the operating mode corresponding to the maximum energy efficiency.

[0091] In other words, the energy efficiency optimization methods for the aforementioned air conditioning system provide at least two levels of optimization: operational mode optimization is low-cost and can be achieved without significant retrofitting costs; equipment optimization is relatively more expensive, requiring investment in equipment purchases and construction modifications to achieve corresponding energy efficiency improvements. Furthermore, all of these optimization methods are determined based on the external meteorological conditions of the air conditioning system's location, making them more suitable for the actual conditions of the system.

[0092] These two optimization options are available as alternatives for users to choose from based on their economic situation or other factors.

[0093] According to the energy efficiency optimization method for air conditioning systems provided in this application, at least two optimization schemes with different costs are determined based on the external meteorological conditions of the location of the air conditioning system, resulting in higher accuracy and better actual performance.

[0094] In some embodiments, step 120, determining the energy efficiency model of the air conditioning system before and after replacing the target equipment based on the equipment operating characteristics and actual power, includes:

[0095] Based on the equipment operating characteristics and actual power, determine the sub-models corresponding to each piece of equipment in the air conditioning system;

[0096] Based on the matching relationship between the target output and the target setting parameters of the sub-model corresponding to each device in the air conditioning system, the values ​​of the target setting parameters are adjusted to determine the energy efficiency model of the air conditioning system.

[0097] It should be noted that the method for determining the corresponding energy efficiency model for the air conditioning system before and after replacing the target equipment can be the same; only the sub-model corresponding to the target equipment needs to be adjusted.

[0098] All equipment related to the flow of heat exchange medium in an air conditioning system will affect the energy efficiency of the air conditioning system. Based on the principles of heat exchange or fluid flow, sub-models of each piece of equipment are established based on their operating characteristics, and their actual power is used to adjust the parameters of the sub-models.

[0099] The sub-models are linked together to represent the actual connection relationships of the devices in the air conditioning system.

[0100] The output of one sub-model serves as the input to other sub-models. When it is necessary to set the value of the target parameter, these settings also serve as the input to some sub-models, but other sub-models will also output this value. By comparing the set value of a parameter with the output value, the energy efficiency model can be iterated.

[0101] The target parameters can be the cooling water return temperature and the chilled water supply temperature.

[0102] For example, a cooling tower needs to cool the input cooling water. The sub-model corresponding to the cooling tower can input the set cooling water return temperature. The cooling water output from the condenser of the chiller is input to the cooling tower. The sub-model corresponding to the chiller can output the cooling water return temperature. By comparing the cooling water return temperature output by the sub-model corresponding to the chiller with the set cooling water return temperature, it can be determined whether the energy efficiency model calibration meets the standard.

[0103] By setting up a sub-model and comparing the output value of the sub-model with the set value based on the target parameters, an energy efficiency model can be obtained quickly and accurately, and the whole process relies on little computing power.

[0104] In some embodiments, such as Figure 6 As shown, the system includes a surface cooler 610, a chiller, a refrigeration pump connected between the surface cooler 610 and the chiller, a cooling tower, and a cooling pump connected between the chiller and the cooling tower. There are two chillers, including a first chiller 641 and a second chiller 642; two refrigeration pumps, including a first refrigeration pump 631 and a second refrigeration pump 632; two cooling towers, including a first cooling tower 661 and a second cooling tower 662; and two cooling pumps, including a first cooling pump 651 and a second cooling pump 652.

[0105] The target load conditions include target air intake parameters and target air supply parameters. The target air intake parameters include target air intake temperature and target air intake humidity, and the target air supply parameters include target air supply temperature and target air supply humidity.

[0106] The models described below are all established under the aforementioned target load conditions to ensure that the energy efficiency optimization method meets the actual operating requirements of the air conditioning system.

[0107] The steps involve: matching the target outputs and target setting parameters of the sub-models corresponding to each device in the air conditioning system; adjusting the values ​​of the target setting parameters; and determining the energy efficiency model of the air conditioning system, including:

[0108] The target load conditions and target external meteorological conditions are input into the first sub-model to obtain the chilled water flow rate m output by the first sub-model. w,chilled Cooling water flow rate (m) w,cool Refrigeration pump power (W) pump,chilled and cooling pump power W pump,cool The first sub-model is used to characterize the characteristics of the piping network and pumps in the air conditioning system.

[0109] The target air intake parameters and the set cooling water return temperature t cool,in The cooling water flow rate m output by the first sub-model w,cool The input is fed into the second sub-model, and the cooling water supply temperature t is obtained from the output of the second sub-model. cool,out and cooling tower power W tower The second sub-model is used to characterize the properties of the cooling tower.

[0110] The target air intake parameters and the set chilled water supply temperature t chilled,in The chilled water flow rate m output by the first sub-model w,chilled The input is fed into the third sub-model, and the chilled water return temperature t is obtained from the output of the third sub-model. chilled,out and supply air temperature t a,out' The third sub-model is used to characterize the surface cooler; the set chilled water supply temperature t chilled,in The supply air temperature t output by the third sub-model a,out' With the target supply air temperature t a,outAdjustments to the matching criteria;

[0111] The supply air temperature t output by the third sub-model a,out' When matching the target supply air temperature, the set chilled water supply temperature t chilled,in The chilled water flow rate (m) output by the first sub-model w,chilled and cooling water flow rate (m) w,cool The cooling water supply temperature t output by the second sub-model cool,out The chilled water return temperature t output by the third sub-model chilled,out The input is fed into the fourth sub-model, and the cooling water return temperature t is obtained from the output of the fourth sub-model. cool,in' Refrigeration unit power (W) chilled and evaporation load Q e The fourth sub-model is used to characterize the chiller's properties; the set cooling water return temperature t cool,in The cooling water return temperature t output by the fourth sub-model cool,in' With the set cooling water return temperature t cool,in Adjustments to the matching criteria;

[0112] The cooling water return temperature t output by the fourth sub-model cool,in' With the set cooling water return temperature t cool,in Under the condition of matching, determine the energy efficiency model of the air conditioning system; wherein, the chilled pump power W output by the first sub-model pump,chilled and cooling pump power W pump,cool The cooling tower power W output by the second sub-model tower The chiller power W output by the fourth sub-model chilled and evaporation load Q e Used to determine the energy efficiency of an air conditioning system.

[0113] Understandably, based on the structure of the air conditioning system, the energy efficiency model is divided into multiple sub-models. The first sub-model is used to characterize the characteristics of the piping network and pumps in the air conditioning system, the second sub-model is used to characterize the characteristics of the cooling tower, the third sub-model is used to characterize the characteristics of the surface cooler, and the fourth sub-model is used to characterize the characteristics of the chiller.

[0114] The supply air temperature t output by the third sub-model a,out' With the target supply air temperature t a,out If there is a mismatch, readjust the set chilled water supply temperature t. chilled,in Until the supply air temperature t output by the third sub-model a,out' With the target supply air temperature t a,out Matching makes the above energy efficiency model more accurate.

[0115] Determine the supply air temperature t output by the third sub-model a,out' With the target supply air temperature ta,out The matching degree can be expressed in several ways: for example, by subtraction, in |t a,out' -t a,out When |≤a, determine the supply air temperature t output by the third sub-model. a,out' With the target supply air temperature t a,out Matching, in |t a,out' -t a,out In the case of |>a, determine the supply air temperature t output by the third sub-model. a,out' With the target supply air temperature t a,out If there is a mismatch, 'a' is the threshold; or division |t is used. a,out' / t a,out When -1|≤b, determine the supply air temperature t output by the third sub-model. a,out' With the target supply air temperature t a,out Matching, in |t a,out' / t a,out Given -1|>b, determine the supply air temperature t output by the third sub-model. a,out' With the target supply air temperature t a,out No match, b is the threshold.

[0116] The cooling water return temperature t output by the fourth sub-model cool,in' With the set cooling water return temperature t cool,in If there is a mismatch, readjust the set cooling water return temperature t. cool,in Until the cooling water return temperature t output by the fourth sub-model. cool,in' With the set cooling water return temperature t cool,in Matching makes the above energy efficiency model more accurate.

[0117] Determine the cooling water return temperature t output by the fourth sub-model. cool,in' With the set cooling water return temperature t cool,in The matching degree can be expressed in several ways: for example, by subtraction, in |t cool,in' -t cool,in When |≤c, determine the cooling water return temperature t output by the fourth sub-model. cool,in' With the set cooling water return temperature t cool,in Matching, in |t cool,in' -t cool,in In the case of |>c, determine the cooling water return temperature t output by the fourth sub-model. cool,in' With the set cooling water return temperature t cool,in If there is a mismatch, c is the threshold; or division |t is used. cool,in' / t cool,in When -1|≤d, determine the cooling water return temperature t output by the fourth sub-model. cool,in' With the set cooling water return temperature tcool,in Matching, in |t cool,in' / t cool,in When -1|>d, determine the cooling water return temperature t output by the fourth sub-model. cool,in' With the set cooling water return temperature t cool,in No match, d is the threshold.

[0118] The above model construction method is simple in iterative calculation and has high accuracy, making the final determined optimization scheme more in line with the actual situation.

[0119] In some embodiments, the above steps, setting the chilled water supply temperature t chilled,in The chilled water flow rate (m) output by the first sub-model w,chilled and cooling water flow rate (m) w,cool The cooling water supply temperature t output by the second sub-model cool,out The chilled water return temperature t output by the third sub-model chilled,out The input is fed into the fourth sub-model, and the cooling water return temperature t is obtained from the output of the fourth sub-model. cool,in' Refrigeration unit power (W) chilled and evaporation load Q e ,include:

[0120] Set the chilled water supply temperature t chilled,in The chilled water flow rate (m) output by the first sub-model w,chilled The chilled water return temperature t output by the third sub-model chilled,out The input is given to the evaporator model, and the evaporation temperature t output by the evaporator model is obtained. e Condensation temperature t c and evaporation load Q e ;

[0121] The evaporation temperature t output by the evaporator model e and condensation temperature t c Inputting the data into the compressor model yields the chiller power (W) output by the compressor model. chilled and condensation load Q c ;

[0122] cooling water flow rate m w,cool The cooling water supply temperature t output by the second sub-model cool,out The condensing load Q output by the evaporator model c The input is given to the condenser model to obtain the cooling water return temperature t output by the condenser model. cool,in' .

[0123] It is understood that a chiller includes an evaporator connected to a surface cooler and a condenser connected to a cooling tower. In the above implementation, the fourth sub-model used to characterize the chiller's properties is further divided into an evaporator model, a compressor model, and a condenser model, which makes the fourth sub-model more accurate and simpler to model.

[0124] In some embodiments, step 130, determining the maximum energy efficiency and corresponding operating mode of the air conditioning system before and after replacing the target equipment based on the energy efficiency model, includes:

[0125] Based on the energy efficiency model of the air conditioning system before the target equipment is replaced, the energy efficiency of the air conditioning system under each operating mode before the target equipment is replaced is determined.

[0126] Based on the energy efficiency under each operating mode, the maximum energy efficiency of the air conditioning system and the corresponding operating mode before the target equipment is replaced are obtained.

[0127] Based on the energy efficiency model of the air conditioning system after the target equipment is replaced, the energy efficiency of the air conditioning system under each operating mode is determined.

[0128] Based on the energy efficiency under each operating mode, the maximum energy efficiency of the air conditioning system and the corresponding operating mode after replacing the target equipment are obtained.

[0129] In other words, before and after replacing the target equipment, an exhaustive approach can be used to determine the energy efficiency under each operating mode, and then obtain the maximum energy efficiency and the corresponding operating mode.

[0130] For example, for Figure 6 The air conditioning system shown has 2 chilled water pumps, 2 chillers, 2 cooling pumps, and 2 cooling towers, so theoretically there are a total of 16 operating modes. By inputting these 16 operating modes one by one into the energy efficiency model, the corresponding energy efficiency can be obtained.

[0131] In some embodiments, the energy efficiency optimization method for the air conditioning system may further include:

[0132] Update the system configuration of the air conditioning system that needs optimization;

[0133] Obtain the updated equipment operating characteristics of the air conditioning system;

[0134] Based on the updated equipment operating characteristics of the air conditioning system, determine the updated energy efficiency model of the air conditioning system.

[0135] Based on the updated energy efficiency model of the air conditioning system, the maximum energy efficiency and corresponding operating mode of the updated air conditioning system are determined. The maximum energy efficiency and corresponding operating mode of the updated air conditioning system are used to determine the optimization scheme of the air conditioning system.

[0136] In other words, in this implementation, it is necessary to redesign the system form and complete the equipment selection, then obtain the corresponding energy efficiency model in the same way as before, and then obtain the maximum energy efficiency and the corresponding operating mode.

[0137] for example, Figure 6 The air conditioning system in the middle is a single-pass return air system. All fresh air and return air loads are mixed and then treated by chilled water at the lowest temperature, which limits the energy efficiency of the chiller; the system should be redesigned, such as... Figure 7 As shown, considering different levels of system load, the loads of fresh air and return air are processed by high-temperature, medium-temperature, and low-temperature chilled water at different temperatures, and the energy efficiency model of the updated air conditioning system is redefined. Based on this energy efficiency model, the maximum energy efficiency and corresponding operating mode of the updated air conditioning system are determined, and it is found that the energy efficiency of the system can be significantly improved.

[0138] System optimization energy efficiency improvement potential = maximum energy efficiency of the updated air conditioning system / maximum energy efficiency before replacing the target equipment - 1.

[0139] Based on the above potential, and taking into account the optimization costs, an optimization plan can be determined.

[0140] The energy efficiency optimization method for air conditioning systems in this application provides energy efficiency potential values ​​for three levels (operation mode optimization, equipment optimization, and system optimization) of the air conditioning system. It can evaluate the operating energy efficiency of the air conditioning system based on meteorological parameters and load characteristics under actual operating conditions, and indicate the direction and potential for energy efficiency improvement in each link of the air conditioning system.

[0141] The improvement levels at the three levels (operation mode optimization, equipment optimization, and system optimization) are ranked from easiest to most difficult. Operation mode optimization can be achieved without significant investment in modifications (smaller energy efficiency improvement); equipment optimization requires a certain amount of investment in equipment purchase and construction modifications to achieve a corresponding energy efficiency improvement (larger energy efficiency improvement); and system optimization provides a more ideal state of system energy efficiency (maximum energy efficiency improvement) for the same building type and usage environment, serving as a reference.

[0142] The following is combined with Figures 2-8 This application describes an energy efficiency optimization method for an air conditioning system provided in an embodiment.

[0143] like Figure 6 As shown, the air conditioning system is a single-pass return air system, which includes: a surface cooler 610, a blower 620, a first chilled pump 631, a second chilled pump 632, a first chiller 641, a second chiller 642, a first cooling pump 651, a second cooling pump 652, a first cooling tower 661, and a second cooling tower 662.

[0144] Return air and fresh air converge into the air supply duct. The surface cooler 610 is installed in the air supply duct, and the air supply fan 620 is also installed inside the air supply duct.

[0145] The surface cooler 610 is connected to the evaporators of the first chiller 641 and the second chiller 642 via pipelines. The pipelines are also equipped with a first refrigeration pump 631 and a second refrigeration pump 632 connected in parallel. The evaporators of the first chiller 641 and the second chiller 642 are connected in parallel. The condensers of the first chiller 641 and the second chiller 642 are connected to the first cooling tower 661 and the second cooling tower 662 connected in parallel via pipelines. The pipelines are also equipped with a first cooling pump 651 and a second cooling pump 652 connected in parallel.

[0146] The air conditioning system described above consists of two chillers, two chilled water pumps, two cooling pumps, and two cooling towers. The chilled water system is a primary pump system, supplying water to each terminal device via a manifold.

[0147] Table 1 shows the energy efficiency optimization directions for air conditioning systems.

[0148] Table 1

[0149]

[0150] Table 2 shows the initial operating mode and initial energy efficiency of the air conditioning system.

[0151] Table 2

[0152]

[0153] In this operating mode, the number of chillers in operation is 1, while the number of cooling towers, cooling pumps, and chilled water pumps in operation are all 2. The actual operating parameters of the air conditioning system and the energy consumption of each device are shown in Table 2. Under this condition, the total power consumption of the system is 124797W, the load is 419328W, and the system energy efficiency is 3.36.

[0154] like Figure 2 As shown, a digital model of the air conditioning system is used to predict the system's energy efficiency under a certain operating mode.

[0155] like Figure 2 As shown, the energy efficiency optimization method for this air conditioning system includes steps 201-214.

[0156] Step 201: Describe the characteristics of the equipment in each stage;

[0157] This includes the characteristics of surface coolers, cooling towers, chillers, water pumps, and piping networks.

[0158] Step 202: Input the parameters for the operating mode;

[0159] This includes external meteorological conditions, condenser load conditions, and the number of units in operation (operation mode). External meteorological conditions include outdoor dry-bulb temperature and outdoor wet-bulb temperature; condenser load conditions include inlet air parameters and supply air parameters.

[0160] Step 203: Model of chilled water and cooling water piping and pumps;

[0161] In this step, the target load conditions and target external meteorological conditions are input into the first sub-model to obtain the chilled water flow rate m output by the first sub-model. w,chilled Cooling water flow rate (m) w,cool Refrigeration pump power (W) pump,chilled and cooling pump power W pump,cool The first sub-model is used to characterize the characteristics of the piping network and pumps in the air conditioning system.

[0162] Step 204: Assume the cooling water return temperature;

[0163] First, set a cooling water return temperature to facilitate the operation of the second sub-model.

[0164] Step 205: Cooling tower model;

[0165] In this step, the target air intake parameters and the set cooling water return temperature t are set. cool,in The cooling water flow rate m output by the first sub-model w,cool The input is fed into the second sub-model, and the cooling water supply temperature t is obtained from the output of the second sub-model. cool,out and cooling tower power W tower The second sub-model is used to characterize the properties of the cooling tower.

[0166] Step 206: Assume the chilled water supply temperature;

[0167] First, set a chilled water supply temperature to facilitate the operation of the subsequent third and fourth sub-models.

[0168] Step 207, Surface Cooler Model;

[0169] In this step, the target air intake parameters and the set chilled water supply temperature t are set. chilled,in The chilled water flow rate m output by the first sub-model w,chilled The input is fed into the third sub-model, and the chilled water return temperature t is obtained from the output of the third sub-model. chilled,out and supply air temperature t a,out' The third sub-model is used to characterize the properties of the surface cooler.

[0170] Step 208: Determine the compatibility of the supply air temperature;

[0171] The supply air temperature t output by the third sub-model a,out'Approximately equal to the target supply air temperature t a,out If the condition is met, proceed to step 209; otherwise, return to step 206 to adjust the set chilled water supply temperature t. chilled,in .

[0172] Step 209, Evaporator Model;

[0173] In this step, the set chilled water supply temperature t is... chilled,in The chilled water flow rate (m) output by the first sub-model w,chilled The chilled water return temperature t output by the third sub-model chilled,out The input is given to the evaporator model, and the evaporation temperature t output by the evaporator model is obtained. e Condensation temperature t c and evaporation load Q e .

[0174] Step 210, Compressor Model;

[0175] In this step, the evaporation temperature t output by the evaporator model is... e and condensation temperature t c Inputting the data into the compressor model yields the chiller power (W) output by the compressor model. chilled and condensation load Q c .

[0176] Step 211, Condenser Model;

[0177] In this step, the cooling water flow rate m w,cool The cooling water supply temperature t output by the second sub-model cool,out The condensing load Q output by the evaporator model c The input is given to the condenser model to obtain the cooling water return temperature t output by the condenser model. cool,in' .

[0178] Step 212: Matching of cooling water return temperature;

[0179] The cooling water return temperature t output by the condenser model cool,in' Approximately equal to the set cooling water return temperature t cool,in If the condition is met, proceed to step 213; otherwise, return to step 204 to adjust the set cooling water return temperature t. cool,in .

[0180] Step 213: Calculate the total system energy consumption;

[0181] The chiller pump power W output by the first sub-model pump,chilled and cooling pump power W pump,cool The cooling tower power W output by the second sub-model tower The chiller power W output by the fourth sub-modelchilled Adding them together, we get the total system power W. sys .

[0182] Step 214: Calculate system energy efficiency.

[0183] Through evaporation load Q e With the total power of the system W sys Determine the COP of the air conditioning system sys .

[0184] like Figure 3 As shown, the method for optimizing the operation mode of the air conditioning system includes steps 301-307.

[0185] Step 301: Describe the characteristics of the existing equipment;

[0186] This includes the characteristics of surface coolers, cooling towers, chillers, water pumps, and piping networks.

[0187] Step 302: Input the parameters for the operating mode;

[0188] This includes external meteorological conditions and the load conditions of the surface cooler. External meteorological conditions include outdoor dry-bulb temperature and outdoor wet-bulb temperature; the load conditions of the surface cooler include inlet air parameters and supply air parameters.

[0189] Step 303: Select different equipment operating modes;

[0190] This includes the number of operating devices and their operating frequency.

[0191] Step 304: Calculate the total cooling capacity of the system;

[0192] Step 305: Calculate the total system energy consumption under different equipment operating modes;

[0193] Refer to step 213 for the calculation method.

[0194] Step 306: Calculate the system energy efficiency under different equipment operating modes;

[0195] Refer to step 214 for the calculation method.

[0196] Step 307: Determine the system energy efficiency operation mode optimization scheme and maximum energy efficiency.

[0197] Table 3 shows the optimization scheme for the operation mode of the air conditioning system.

[0198] Table 3

[0199]

[0200] By varying the number of operating cooling towers, cooling pumps, and chilled pumps, and using the established digital model of the system, the operating parameters and energy consumption of the system under different control methods were calculated and predicted. In this embodiment, the optimized control method was determined to be: 1 chiller in operation, 2 cooling towers in operation, 1 cooling pump in operation, and 1 chilled pump in operation. The system operating parameters and energy consumption of each device after operating under this optimized method are shown in Table 3. Under this condition, the total power consumption of the system is 116573W, and the system energy efficiency is 3.56; compared to the original operating strategy, this results in an energy saving of 6.6%, achieving a 5.9% energy efficiency improvement.

[0201] like Figure 4 As shown, the method for optimizing the operation mode of the air conditioning system includes steps 401-408.

[0202] Step 401: Equipment replacement;

[0203] Replace existing, substandard equipment in the system with higher-performance equipment.

[0204] Step 402: Describe the characteristics of the replaced equipment;

[0205] This includes the characteristics of surface coolers, cooling towers, chillers, water pumps, and piping networks.

[0206] Step 403: Input the parameters for the operating mode;

[0207] This includes external meteorological conditions and the load conditions of the surface cooler. External meteorological conditions include outdoor dry-bulb temperature and outdoor wet-bulb temperature; the load conditions of the surface cooler include inlet air parameters and supply air parameters.

[0208] Step 404: Select different equipment operating modes;

[0209] This includes the number of operating devices and their operating frequency.

[0210] Step 405: Calculate the total cooling capacity of the system;

[0211] Step 406: Calculate the total system energy consumption under different equipment operating modes;

[0212] Refer to step 213 for the calculation method.

[0213] Step 407: Calculate the system energy efficiency under different equipment operating modes;

[0214] Refer to step 214 for the calculation method.

[0215] Step 408: Determine the system energy efficiency operation mode optimization scheme and maximum energy efficiency.

[0216] Table 4 shows the system configuration optimization scheme for the air conditioning system.

[0217] Table 4

[0218]

[0219] In this embodiment, the air conditioning system uses a low-performance screw chiller (nominal coefficient of performance of only 4.25). If it is replaced with a higher-performance screw chiller (nominal coefficient of performance of 4.97), the chiller energy consumption under the aforementioned operating conditions can be reduced from 99.4 kW to 82.4 kW, as shown in Table 4. This embodiment further reduces the total system energy consumption by 14.5% on top of the 6.6% reduction achieved through optimized control methods, resulting in a further 29.9% energy efficiency improvement.

[0220] like Figure 5 As shown, the method for optimizing the operation mode of the air conditioning system includes steps 501-508.

[0221] Step 501: System optimization design;

[0222] Based on the evaluation of the heat and humidity load of the air conditioning system, design a high-efficiency air conditioning system.

[0223] Step 502: Describe the equipment characteristics of the new system;

[0224] This includes the characteristics of surface coolers, cooling towers, chillers, water pumps, and piping networks.

[0225] Step 503: Input the parameters for the operating mode;

[0226] This includes external meteorological conditions and the load conditions of the surface cooler. External meteorological conditions include outdoor dry-bulb temperature and outdoor wet-bulb temperature; the load conditions of the surface cooler include inlet air parameters and supply air parameters.

[0227] Step 505: Select different equipment operating modes;

[0228] This includes the number of operating devices and their operating frequency.

[0229] Step 505: Calculate the total cooling capacity of the system;

[0230] Step 506: Calculate the total system energy consumption under different equipment operating modes;

[0231] Refer to step 213 for the calculation method.

[0232] Step 507: Calculate the system energy efficiency under different equipment operating modes;

[0233] Refer to step 215 for the calculation method.

[0234] Step 508: Determine the system optimization scheme and maximum energy efficiency of the system.

[0235] Table 5 shows the system configuration optimization scheme for the air conditioning system.

[0236] Table 5

[0237]

[0238] The initial air conditioning system in this embodiment is a common single-pass return air system. All fresh and return air loads are mixed and treated by chilled water at the lowest temperature, limiting the chiller's energy efficiency. However, considering the different levels of system load, the fresh and return air loads are treated by chilled water at different temperatures (high, medium, and low). The system schematic is shown below. Figure 7 As shown, this can significantly improve the system's energy efficiency. Table 5 shows the load on the high-temperature chiller, medium-temperature chiller, and low-temperature chiller, along with their corresponding chiller COP and energy consumption. Based on optimized control methods and equipment performance, the system energy consumption can be further reduced by 8.7%, achieving a 9.6% energy efficiency improvement.

[0239] like Figure 8 As shown in the embodiments of this application, the energy efficiency optimization method for air conditioning systems can provide significant potential for energy efficiency improvement through three-level optimization.

[0240] The energy efficiency optimization method for an air conditioning system provided in this application can be implemented by an energy efficiency optimization device for the air conditioning system. This application uses an energy efficiency optimization device for the air conditioning system executing the energy efficiency optimization method as an example to illustrate the energy efficiency optimization device for the air conditioning system provided in this application.

[0241] This application also provides an energy efficiency optimization device for an air conditioning system.

[0242] like Figure 9 As shown, the energy efficiency optimization device for the air conditioning system includes: a first acquisition module 810, a first processing module 820, a second processing module 830, and a third processing module 840.

[0243] The first acquisition module 810 is used to acquire the equipment operating characteristics of the air conditioning system to be optimized, as well as the actual power of each device under the target load conditions and the target external weather conditions. The equipment operating characteristics of the target device to be replaced in the air conditioning system include the first equipment operating characteristics before replacement and the second equipment operating characteristics after replacement.

[0244] The first processing module 820 is used to determine the energy efficiency model of the air conditioning system before and after replacing the target equipment based on the equipment's operating characteristics and actual power. The energy efficiency model is used to characterize the relationship between the air conditioning system's operating mode and system energy efficiency.

[0245] The second processing module 830 is used to determine the maximum energy efficiency and corresponding operating mode of the air conditioning system before and after replacing the target equipment based on the energy efficiency model.

[0246] The third processing module 840 is used to determine the optimization scheme of the air conditioning system based on the maximum energy efficiency and corresponding operating mode of the air conditioning system before and after the target equipment is replaced.

[0247] According to the energy efficiency optimization device for air conditioning systems provided in this application embodiment, at least two optimization schemes with different costs can be determined based on the external meteorological conditions of the location of the air conditioning system, resulting in higher accuracy and better actual performance.

[0248] In some embodiments, the first processing module 820 is further configured to determine the sub-models corresponding to each device in the air conditioning system based on the device operating characteristics and actual power; and adjust the values ​​of the target setting parameters based on the matching relationship between the target output and the target setting parameters of the sub-models corresponding to each device in the air conditioning system to determine the energy efficiency model of the air conditioning system.

[0249] In some embodiments, the air conditioning system includes: a surface cooler, a chiller, a refrigeration pump connected between the surface cooler and the chiller, a cooling tower, and a cooling pump connected between the chiller and the cooling tower; the target load conditions include target inlet air parameters and target supply air temperature; the first processing module 820 is further used for

[0250] The target load conditions and target external meteorological conditions are input into the first sub-model to obtain the chilled water flow rate m output by the first sub-model. w,chilled Cooling water flow rate (m) w,cool Refrigeration pump power (W) pump,chilled and cooling pump power W pump,cool The first sub-model is used to characterize the characteristics of the piping network and pumps in the air conditioning system.

[0251] The target air intake parameters and the set cooling water return temperature t cool,in The cooling water flow rate m output by the first sub-model w,cool The input is fed into the second sub-model, and the cooling water supply temperature t is obtained from the output of the second sub-model. cool,out and cooling tower power W tower The second sub-model is used to characterize the properties of the cooling tower.

[0252] The target air intake parameters and the set chilled water supply temperature t chilled,in The chilled water flow rate m output by the first sub-model w,chilled The input is fed into the third sub-model, and the chilled water return temperature t is obtained from the output of the third sub-model. chilled,out and supply air temperature t a,out' The third sub-model is used to characterize the surface cooler; the set chilled water supply temperature tchilled,in The supply air temperature t output by the third sub-model a,out' Adjustments to match the target supply air temperature;

[0253] The supply air temperature t output by the third sub-model a,out' When matching the target supply air temperature, the set chilled water supply temperature t chilled,in The chilled water flow rate (m) output by the first sub-model w,chilled and cooling water flow rate (m) w,cool The cooling water supply temperature t output by the second sub-model cool,out The chilled water return temperature t output by the third sub-model chilled,out The input is fed into the fourth sub-model, and the cooling water return temperature t is obtained from the output of the fourth sub-model. cool,in' Refrigeration unit power (W) chilled and evaporation load Q e The fourth sub-model is used to characterize the chiller's properties; the set cooling water return temperature t cool,in The cooling water return temperature t output by the fourth sub-model cool,in' With the set cooling water return temperature t cool,in Adjustments to the matching criteria;

[0254] The cooling water return temperature t output by the fourth sub-model cool,in' With the set cooling water return temperature t cool,in Under the condition of matching, determine the energy efficiency model of the air conditioning system; wherein, the chilled pump power W output by the first sub-model pump,chilled and cooling pump power W pump,cool The cooling tower power W output by the second sub-model tower The chiller power W output by the fourth sub-model chilled and evaporation load Q e Used to determine the energy efficiency of an air conditioning system.

[0255] In some embodiments, the first processing module 820 is further used for

[0256] Set the chilled water supply temperature t chilled,in The chilled water flow rate (m) output by the first sub-model w,chilled The chilled water return temperature t output by the third sub-model chilled,out The input is given to the evaporator model, and the evaporation temperature t output by the evaporator model is obtained. e Condensation temperature t c and evaporation load Q e ;

[0257] The evaporation temperature t output by the evaporator model e and condensation temperature t cInputting the data into the compressor model yields the chiller power (W) output by the compressor model. chilled and condensation load Q c ;

[0258] cooling water flow rate m w,cool The cooling water supply temperature t output by the second sub-model cool,out The condensing load Q output by the evaporator model c The input is given to the condenser model to obtain the cooling water return temperature t output by the condenser model. cool,in' .

[0259] In some embodiments, the energy efficiency optimization device for the air conditioning system may further include:

[0260] The fourth processing module is used to update the system configuration of the air conditioning system to be optimized;

[0261] The second acquisition module is used to acquire the updated equipment operating characteristics of the air conditioning system;

[0262] The fifth processing module is used to determine the updated energy efficiency model of the air conditioning system based on the updated equipment operating characteristics of the air conditioning system.

[0263] The sixth processing module is used to determine the maximum energy efficiency and corresponding operating mode of the updated air conditioning system based on the updated energy efficiency model of the air conditioning system. The maximum energy efficiency and corresponding operating mode of the updated air conditioning system are used to determine the optimization scheme of the air conditioning system.

[0264] In some embodiments, the second processing module 830 is further used for

[0265] Based on the energy efficiency model of the air conditioning system before the target equipment is replaced, the energy efficiency of the air conditioning system under each operating mode before the target equipment is replaced is determined.

[0266] Based on the energy efficiency under each operating mode, the maximum energy efficiency of the air conditioning system and the corresponding operating mode before the target equipment is replaced are obtained.

[0267] Based on the energy efficiency model of the air conditioning system after the target equipment is replaced, the energy efficiency of the air conditioning system under each operating mode is determined.

[0268] Based on the energy efficiency under each operating mode, the maximum energy efficiency of the air conditioning system and the corresponding operating mode after replacing the target equipment are obtained.

[0269] The energy efficiency optimization device for the air conditioning system in this application embodiment can be an electronic device or a component within an electronic device, such as an integrated circuit or a chip. The electronic device can be a terminal or other devices besides a terminal. For example, the electronic device can be a mobile phone, tablet computer, laptop computer, PDA, in-vehicle electronic device, mobile internet device (MID), augmented reality (AR) / virtual reality (VR) device, robot, wearable device, ultra-mobile personal computer (UMPC), netbook, or personal digital assistant (PDA), etc. It can also be a server, network attached storage (NAS), personal computer (PC), television (TV), ATM, or self-service machine, etc. This application embodiment does not specifically limit the specific device.

[0270] The energy efficiency optimization device for the air conditioning system in this application embodiment can be a device with an operating system. This operating system can be a Microsoft (Windows) operating system, an Android operating system, an iOS operating system, or other possible operating systems; this application embodiment does not specifically limit the specific operating system.

[0271] The energy efficiency optimization device for the air conditioning system provided in this application embodiment can achieve… Figures 1 to 5 The various processes implemented in the method implementation examples will not be described again here to avoid repetition.

[0272] In some embodiments, such as Figure 10 As shown, this application embodiment also provides an electronic device 900, including a processor 901, a memory 902, and a computer program stored in the memory 902 and executable on the processor 901. When the program is executed by the processor 901, it implements the various processes of the above-described air conditioning system energy efficiency optimization method embodiment and can achieve the same technical effect. To avoid repetition, it will not be described again here.

[0273] It should be noted that the electronic devices in the embodiments of this application include the mobile electronic devices and non-mobile electronic devices described above.

[0274] This application also provides a non-transitory computer-readable storage medium storing a computer program. When the computer program is executed by a processor, it implements the various processes of the above-described air conditioning system energy efficiency optimization method embodiment and achieves the same technical effect. To avoid repetition, it will not be described again here.

[0275] The processor is the processor in the electronic device described in the above embodiments. The readable storage medium includes computer-readable storage media, such as computer read-only memory (ROM), random access memory (RAM), magnetic disk, or optical disk.

[0276] This application also provides a computer program product, including a computer program that, when executed by a processor, implements the energy efficiency optimization method for the air conditioning system described above.

[0277] The processor is the processor in the electronic device described in the above embodiments. The readable storage medium includes computer-readable storage media, such as computer read-only memory (ROM), random access memory (RAM), magnetic disk, or optical disk.

[0278] This application embodiment also provides a chip, which includes a processor and a communication interface. The communication interface is coupled to the processor. The processor is used to run programs or instructions to implement the various processes of the above-described air conditioning system energy efficiency optimization method embodiment, and can achieve the same technical effect. To avoid repetition, it will not be described again here.

[0279] It should be understood that the chip mentioned in the embodiments of this application may also be referred to as a system-on-a-chip, system chip, chip system, or system-on-a-chip, etc.

[0280] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element. Furthermore, it should be noted that the scope of the methods and apparatuses in the embodiments of this application is not limited to performing functions in the order shown or discussed, but may also include performing functions substantially simultaneously or in the reverse order, depending on the functions involved. For example, the described methods may be performed in a different order than described, and various steps may be added, omitted, or combined. Additionally, features described with reference to certain examples may be combined in other examples.

[0281] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, can be embodied in the form of a computer software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) and includes several instructions to cause a terminal (which may be a mobile phone, computer, server, or network device, etc.) to execute the methods described in the various embodiments of this application.

[0282] The embodiments of this application have been described above with reference to the accompanying drawings. However, this application is not limited to the specific embodiments described above. The specific embodiments described above are merely illustrative and not restrictive. Those skilled in the art can make many other forms under the guidance of this application without departing from the spirit and scope of the claims, and all of these forms are within the protection scope of this application.

[0283] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "illustrative embodiment," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of this application. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0284] Although embodiments of this application have been shown and described, those skilled in the art will understand that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of this application, the scope of which is defined by the claims and their equivalents.

Claims

1. A method for optimizing the energy efficiency of an air conditioning system, characterized in that, include: The equipment operating characteristics of the air conditioning system to be optimized, as well as the actual power of each device under target load conditions and target external weather conditions, are obtained. The equipment operating characteristics of the target device to be replaced in the air conditioning system include the first equipment operating characteristics before replacement and the second equipment operating characteristics after replacement. Based on the operating characteristics and actual power of the equipment, the energy efficiency model of the air conditioning system before and after replacing the target equipment is determined. The energy efficiency model is used to characterize the relationship between the operating mode of the air conditioning system and the system energy efficiency. Specifically, based on the operating characteristics and actual power of the equipment, a sub-model corresponding to each device of the air conditioning system is determined. Based on the matching relationship between the target output and the target setting parameters of the sub-models corresponding to each device of the air conditioning system, the values ​​of the target setting parameters are adjusted to determine the energy efficiency model of the air conditioning system. Based on the energy efficiency model, the maximum energy efficiency and corresponding operating modes of the air conditioning system before and after replacing the target equipment are determined; wherein, based on the energy efficiency model of the air conditioning system before replacing the target equipment, the energy efficiency of the air conditioning system under each operating mode before replacing the target equipment is determined; based on the energy efficiency under each operating mode, the maximum energy efficiency and corresponding operating modes of the air conditioning system before replacing the target equipment are obtained; based on the energy efficiency model of the air conditioning system after replacing the target equipment, the energy efficiency of the air conditioning system under each operating mode after replacing the target equipment is determined; based on the energy efficiency under each operating mode, the maximum energy efficiency and corresponding operating modes of the air conditioning system after replacing the target equipment are obtained. Based on the maximum energy efficiency and corresponding operating mode of the air conditioning system before and after replacing the target equipment, an optimization scheme for the air conditioning system is determined. The air conditioning system includes: a surface cooler, a chiller, a refrigeration pump connected between the surface cooler and the chiller, a cooling tower, and a cooling pump connected between the chiller and the cooling tower; the target load conditions include target inlet air parameters and target supply air temperature; The process of matching the target output with the target setting parameters of the sub-models corresponding to each device in the air conditioning system, adjusting the values ​​of the target setting parameters, and determining the energy efficiency model of the air conditioning system includes: The target load conditions and the target external meteorological conditions are input into the first sub-model to obtain the chilled water flow rate m output by the first sub-model. w,chilled Cooling water flow rate (m) w,cool Refrigeration pump power (W) pump,chilled and cooling pump power W pump,cool The first sub-model is used to characterize the characteristics of the piping network and pumps in the air conditioning system. The target air intake parameters and the set cooling water return temperature t cool,in The cooling water flow rate m output by the first sub-model w,cool The input is fed into the second sub-model to obtain the cooling water supply temperature t output by the second sub-model. cool,out and cooling tower power W tower The second sub-model is used to characterize the properties of the cooling tower. The target air intake parameters and the set chilled water supply temperature t chilled,in The chilled water flow rate m output by the first sub-model w,chilled The input is fed into the third sub-model to obtain the chilled water return temperature t output by the third sub-model. chilled,out and supply air temperature t a,out' The third sub-model is used to characterize the properties of the surface cooler; the set chilled water supply temperature t chilled,in The air supply temperature t output by the third sub-model a,out' Adjust the matching with the target supply air temperature; The supply air temperature t output by the third sub-model a,out' When matching the target air supply temperature, the set chilled water supply temperature t chilled,in The chilled water flow rate (m) output by the first sub-model w,chilled and cooling water flow rate (m) w,cool The cooling water supply temperature t output by the second sub-model cool,out The chilled water return temperature t output by the third sub-model chilled,out The input is fed into the fourth sub-model to obtain the cooling water return temperature t output by the fourth sub-model. cool,in' Refrigeration unit power (W) chilled and evaporation load Q e The fourth sub-model is used to characterize the features of the chiller; the set cooling water return temperature t cool,in The cooling water return temperature t output by the fourth sub-model cool,in' With the set cooling water return temperature t cool,in Adjustments to the matching criteria; The cooling water return temperature t output by the fourth sub-model cool,in' With the set cooling water return temperature t cool,in Under the condition of matching, the energy efficiency model of the air conditioning system is determined; wherein, the chilled pump power W output by the first sub-model is... pump,chilled and cooling pump power W pump,cool The cooling tower power W output by the second sub-model tower The chiller power W output by the fourth sub-model chilled and evaporation load Q e Used to determine the energy efficiency of the air conditioning system.

2. The energy efficiency optimization method for an air conditioning system according to claim 1, characterized in that, The set chilled water supply temperature t chilled,in The chilled water flow rate (m) output by the first sub-model w,chilled and cooling water flow rate (m) w,cool The cooling water supply temperature t output by the second sub-model cool,out The chilled water return temperature t output by the third sub-model chilled,out The input is fed into the fourth sub-model to obtain the cooling water return temperature t output by the fourth sub-model. cool,in' Refrigeration unit power (W) chilled and evaporation load Q e ,include: Set the chilled water supply temperature t chilled,in The chilled water flow rate (m) output by the first sub-model w,chilled The chilled water return temperature t output by the third sub-model chilled,out The input is given to the evaporator model, and the evaporation temperature t output by the evaporator model is obtained. e Condensation temperature t c and evaporation load Q e ; The evaporation temperature t output by the evaporator model e and condensation temperature t c The input is given to the compressor model to obtain the chiller power W output by the compressor model. chilled and condensation load Q c ; cooling water flow rate m w,cool The cooling water supply temperature t output by the second sub-model cool,out and the condensing load Q output by the evaporator model c The input is given to the condenser model to obtain the cooling water return temperature t output by the condenser model. cool,in' .

3. The energy efficiency optimization method for an air conditioning system according to any one of claims 1-2, characterized in that, Also includes: Update the system configuration of the air conditioning system to be optimized; Obtain the updated equipment operating characteristics of the air conditioning system; Based on the equipment operating characteristics of the updated air conditioning system, the energy efficiency model of the updated air conditioning system is determined; Based on the updated energy efficiency model of the air conditioning system, the maximum energy efficiency and corresponding operating mode of the updated air conditioning system are determined. The maximum energy efficiency and corresponding operating mode of the updated air conditioning system are used to determine the optimization scheme of the air conditioning system.

4. An energy efficiency optimization device for an air conditioning system, characterized in that, A method for optimizing the energy efficiency of an air conditioning system as described in any one of claims 1-3, comprising: The first acquisition module is used to acquire the equipment operating characteristics of the air conditioning system to be optimized, as well as the actual power of each device under the target load conditions and the target external weather conditions. The equipment operating characteristics of the target device to be replaced in the air conditioning system include the first equipment operating characteristics before replacement and the second equipment operating characteristics after replacement. The first processing module is used to determine the energy efficiency model of the air conditioning system before and after replacing the target equipment based on the operating characteristics and actual power of the equipment. The energy efficiency model is used to characterize the relationship between the operating mode of the air conditioning system and the system energy efficiency. The second processing module is used to determine the maximum energy efficiency and corresponding operating mode of the air conditioning system before and after replacing the target equipment, based on the energy efficiency model. The third processing module is used to determine the optimization scheme of the air conditioning system based on the maximum energy efficiency and corresponding operating mode of the air conditioning system before and after the target equipment is replaced.

5. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the program, it implements the energy efficiency optimization method for the air conditioning system as described in any one of claims 1-3.

6. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the energy efficiency optimization method for the air conditioning system as described in any one of claims 1-3.

7. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by the processor, it implements the energy efficiency optimization method for the air conditioning system as described in any one of claims 1-3.

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