Method and system for rapid determination of dynamic energy efficiency value of air conditioner

Abstract

The application discloses a kind of fast determination method and system of dynamic energy efficiency value of air conditioner, it is related to air conditioner technical field, comprising the following steps: obtaining the design parameter and / or control parameter of air conditioner;According to design parameter and / or the control parameter, generate the working condition parameter of test working condition;Obtain the steady-state performance test data of air conditioner under test working condition;According to steady-state performance test data, establish the capacity model and power model of air conditioner;According to capacity model, power model and control parameter, simulate the period energy efficiency value of air conditioner in dynamic test working condition;According to the period energy efficiency value of dynamic test working condition, calculate the dynamic energy efficiency value of air conditioner.The application is simulated and calculated by steady-state test data in combination with control strategy, without modifying existing steady-state test equipment hardware, avoids time-consuming physical dynamic test process, shortens test time by more than 80%, realizes the dynamic energy efficiency evaluation of air conditioner with low cost, high efficiency and high precision.

Description

Technical Field

[0001] This invention relates to the field of air conditioner technology, and in particular to a method and system for rapidly measuring the dynamic energy efficiency value of an air conditioner. Background Technology

[0002] Improving the energy efficiency of air conditioners is crucial for energy conservation and emission reduction in society as a whole.

[0003] Currently, in China, the national mandatory standard GB 21455-2019, "Minimum Allowable Values ​​of Energy Efficiency and Energy Efficiency Grades for Room Air Conditioners," is widely used for testing and evaluating the efficiency of air conditioners. Based on the measured energy efficiency values, air conditioners are classified and the sale of substandard air conditioners is prohibited. In the testing system of this standard, control parameters such as compressor frequency and fan speed are set to fixed values. Therefore, the annual average power efficiency (APF) obtained represents the "steady-state energy efficiency" of the air conditioner.

[0004] However, in actual operation, the control parameters of an air conditioner are dynamically adjusted according to its built-in control strategy. The energy efficiency in the dynamic adjustment state (hereinafter referred to as "dynamic energy efficiency") is significantly different from the aforementioned "steady-state energy efficiency".

[0005] On-site performance test results show that the actual energy efficiency (i.e., "dynamic energy efficiency") of air conditioners in actual operation generally deviates by more than 20% from the "steady-state energy efficiency" measured according to current national mandatory standards. Therefore, the current "steady-state energy efficiency" evaluation method is difficult to accurately reflect the true energy efficiency level of air conditioners under actual operating conditions and is prone to misleading the design direction of air conditioners.

[0006] Addressing the shortcomings of the "steady-state energy efficiency" evaluation system for air conditioners, the adoption of "dynamic energy efficiency" as a replacement has become an industry consensus. Globally, numerous countries and organizations have either introduced or are accelerating the development of "dynamic energy efficiency" testing standards. International level: 1. Canada and the United States have successively issued relevant dynamic energy efficiency testing standards, such as Canada's CSA SPE-07:23 standard: Load-based and climate-specific testing and rating procedures for heat pumps and air conditioners, and the United States' AHRI Standard 210 / 240-2024 standard: Performance rating of unitary air-conditioning and air-source heat pump equipment. 2. The International Organization for Standardization (ISO) is also promoting the ISO / CD 21280 international standard: Testing and Rating including seasonal performance of air-to-air air-conditioners and heatpumps considering the effect of native control.

[0007] Domestic level: 1. Domestic companies, such as Gree, have taken the lead in formulating enterprise standards for dynamic energy efficiency testing of air conditioners. For example, enterprise standard Q / GD 2000290-2024: Dynamically Operating High-Efficiency Energy-Saving Room Air Conditioner; 2. Meanwhile, the China National Institute of Standardization is also leading the development of a new national standard for evaluating the dynamic energy efficiency of air conditioners.

[0008] Although using "dynamic energy efficiency" instead of "steady-state energy efficiency" can more reasonably reflect the true energy efficiency of air conditioners in actual operation, there are problems such as high laboratory modification costs and long testing cycles in actual testing.

[0009] First, changing from "steady-state energy efficiency" testing to "dynamic energy efficiency" testing requires laboratory renovation, which incurs costs and time, posing a challenge to cost control.

[0010] Secondly, in the "dynamic energy efficiency" test, the indoor temperature needs to be adjusted to a stable state by the air conditioner's own control strategy, which leads to a sharp increase in the experimental test cycle and significantly prolongs the test time.

[0011] Finally, the increased testing cycle means that more laboratories are needed to meet the testing requirements of the same product development, which in turn leads to a further increase in the cost and time required for laboratory construction.

[0012] At present, the ability to develop a low-cost and rapid method and system for obtaining the dynamic energy efficiency value of air conditioners has become a bottleneck for the air conditioning industry to quickly and easily switch from the "steady-state energy efficiency" evaluation system to the "dynamic energy efficiency" evaluation system.

[0013] Therefore, those skilled in the art are dedicated to developing a rapid method and system for determining the dynamic energy efficiency value of air conditioners. Summary of the Invention

[0014] In view of the above-mentioned deficiencies of the prior art, the technical problem to be solved by the present invention is how to quickly and accurately reflect the dynamic energy efficiency of an air conditioner in actual operation through simulation while using existing steady-state testing equipment.

[0015] To achieve the above objectives, the present invention provides a rapid method for determining the dynamic energy efficiency value of an air conditioner, comprising the following steps: S201 obtaining the design parameters and / or control parameters of the air conditioner; S202 generating operating condition parameters for the test condition based on the design parameters and / or control parameters; S203 obtaining steady-state performance test data of the air conditioner under the test condition; S204 establishing a capacity model and a power model of the air conditioner based on the steady-state performance test data; S205 simulating the periodic energy efficiency value of the air conditioner under the dynamic test condition based on the capacity model, power model, and control parameters; S206 calculating the dynamic energy efficiency value of the air conditioner based on the periodic energy efficiency value of the dynamic test condition.

[0016] In a preferred embodiment of the present invention, step S205 further includes: S2051 initializing the operating parameters of the dynamic test condition; S2052 calculating the capacity and power of the air conditioner according to the capacity model and power model; S2053 calculating the virtual load of the air conditioner; S2054 calculating the operating parameters of the dynamic test condition at the next moment according to the capacity and power of the air conditioner and the virtual load; S2055 updating the operating parameters at the next moment according to the control parameters; repeating steps S2052-S2055 until the simulation duration reaches the required duration of the dynamic test; S2056 simulating the periodic energy efficiency value of the air conditioner under the dynamic test condition.

[0017] In a preferred embodiment of the present invention, the design parameters include one or more of the following: rated cooling capacity, rated cooling power, design virtual load, and compressor capacity curve.

[0018] In a preferred embodiment of the present invention, the control parameters include one or more of the following: target indoor dry-bulb temperature, maximum fan speed, compressor operating frequency control strategy, and compressor operating frequency limit range.

[0019] In a preferred embodiment of the present invention, the operating parameters include one or more of the following: indoor dry-bulb temperature, indoor wet-bulb temperature, outdoor dry-bulb temperature, outdoor wet-bulb temperature, indoor unit air volume, and compressor operating frequency.

[0020] In a preferred embodiment of the present invention, step 204 further includes: In cooling mode The cooling capacity model of an air conditioner can be represented as:

[0021] Among them, Q c Q represents the cooling capacity of an air conditioner. ful,c The rated cooling capacity is T, where F is the factor affecting cooling / heating capacity, and the subscript c indicates cooling. in,db T in,wb T out,db These represent the indoor dry-bulb temperature, indoor wet-bulb temperature, and outdoor dry-bulb temperature, respectively. N is the compressor operating frequency, the subscript ref indicates the reference value, and B1~B5 are linear variation factors. The cooling power model of an air conditioner can be represented as:

[0022] Among them, P c P represents the cooling capacity of the air conditioner. ful,c T represents the rated cooling capacity of the air conditioner, G is the influencing factor of cooling / heating power, the subscript c indicates cooling, and T represents the rated cooling capacity of the air conditioner. in,db T in,wb T out,db These represent the indoor dry-bulb temperature, indoor wet-bulb temperature, and outdoor dry-bulb temperature, respectively. N is the compressor operating frequency, the subscript ref indicates the reference value, and C1~C5 are linear variation factors. In a preferred embodiment of the present invention, step 204 further includes: In heating mode The heating capacity model of an air conditioner can be represented as:

[0023] Among them, Q h Q represents the heating capacity of an air conditioner. ful,c The rated cooling capacity of the air conditioner is T, where F represents the influencing factor of cooling / heating capacity, the subscript h indicates heating capacity, and T represents the rated cooling capacity of the air conditioner. in,db T in,wb Tout,db These represent the indoor dry-bulb temperature, indoor wet-bulb temperature, and outdoor dry-bulb temperature, respectively. -7, 2, and 7 represent the outdoor dry-bulb temperature under ultra-low temperature heating conditions, low temperature heating conditions, and rated heating conditions, respectively. The subscript ref indicates the reference value, and D1~D5 are linear variation factors. The heating power model of an air conditioner can be represented as:

[0024] Among them, P h P represents the heating capacity of the air conditioner. ful,c The rated cooling capacity of the air conditioner is given by G, which represents the influencing factor of cooling / heating power. The subscript h indicates heating capacity. in,db T in,wb T out,db These represent the indoor dry-bulb temperature, indoor wet-bulb temperature, and outdoor dry-bulb temperature, respectively. -7, 2, and 7 represent the outdoor dry-bulb temperature under ultra-low temperature heating conditions, low temperature heating conditions, and rated heating conditions, respectively. N is the compressor operating frequency, the subscript ref indicates the reference value, and E1~E5 are linear variation factors.

[0025] In a preferred embodiment of the present invention, in step 2055, the compressor operating frequency at the next moment is updated according to the control strategy of the compressor operating frequency; wherein the control strategy of the compressor operating frequency adopts a PID control strategy. The compressor operating frequency at the next moment is given by the following formula:

[0026] Where, N PID To calculate the compressor operating frequency at the next moment under the PID control strategy, K p K i and K d These are the proportional coefficient, integral coefficient, and differential coefficient, respectively. set Let τ be the target indoor dry-bulb temperature, and τ be the time.

[0027] In a preferred embodiment of the present invention, the dynamic energy efficiency value is the annual dynamic energy consumption efficiency (DAPF), and its formula is:

[0028] Among them, t j Indicates outdoor temperature, n (tj) This indicates the time when the outdoor temperature occurs, BL represents the virtual load, E represents the cycle efficiency, and the subscripts c and h represent cooling and heating, respectively.

[0029] This invention also provides a rapid measurement system for the dynamic energy efficiency value of an air conditioner, comprising: an air conditioner parameter acquisition module configured to acquire the design parameters and / or control parameters of the air conditioner; an air conditioner test condition generation module configured to generate test condition parameters based on the design parameters and / or the control parameters; a steady-state performance testing device; a steady-state performance test result acquisition module configured to acquire steady-state performance test data of the air conditioner under the test conditions in the steady-state performance testing device; a capacity and power modeling module configured to establish a capacity model and a power model of the air conditioner based on the steady-state performance test data; an air conditioner dynamic characteristic simulation module configured to simulate the periodic energy efficiency value of the air conditioner under dynamic test conditions based on the capacity model, the power model, and the control parameters; and a dynamic energy efficiency value calculation module configured to calculate the dynamic energy efficiency value of the air conditioner based on the periodic energy efficiency value of the dynamic test conditions.

[0030] Technical effect

[0031] The present invention aims to provide a rapid method and system for determining the dynamic energy efficiency value of air conditioners, in order to solve the technical bottlenecks of high laboratory modification costs and long testing cycles faced by air conditioners when converting from "steady-state energy efficiency" to "dynamic energy efficiency" evaluation systems in the prior art.

[0032] Specifically, the present invention can achieve the following significant technical effects: 1. Significantly Reduced Hardware Investment and Enterprise Transformation Costs: This invention breaks away from the stringent hardware environment requirements of traditional physical dynamic testing. The hardware portion directly utilizes existing steady-state energy efficiency testing equipment (such as air enthalpy difference test benches and room thermal balance test benches). By continuing to use existing equipment for steady-state performance testing, the cumbersome process of modifying a laboratory specifically for dynamic testing is completely avoided, saving laboratory construction and modification costs and time, and greatly reducing the transformation costs for relevant enterprises to smoothly transition to the "dynamic energy efficiency" assessment system.

[0033] 2. Significantly shortened testing cycle and greatly improved testing efficiency: This invention adopts a "software-based" simulation strategy. By acquiring steady-state test data of the air conditioner under a small number of specific operating conditions, a precise capacity and power model is established. Combined with the air conditioner's own control strategy, simulation calculations are performed to quickly obtain the cycle energy efficiency value for each operating condition. This method completely avoids the time-consuming process of allowing the air conditioner to naturally adjust to stability in the laboratory for an extended period, drastically reducing the approximately 70 hours required for conventional dynamic testing to about 10 hours, a reduction of over 80% in testing time, resulting in a revolutionary improvement in testing efficiency.

[0034] 3. Achieving High-Precision Dynamic Energy Efficiency Simulation and Full-Cycle Evaluation: This invention constructs highly reliable air conditioner capacity and power models through rigorous test data fitting. Core performance indicators show that the dynamic energy efficiency simulation values ​​obtained by this method have an error of less than 3% compared with the measured values. While ensuring extremely high accuracy, it perfectly supports rapid evaluation of dynamic energy consumption efficiency (DAPF) under multiple operating conditions and throughout the year, providing highly reliable data support for product R&D iteration and energy efficiency rating.

[0035] The following will further explain the concept, specific structure, and technical effects of the present invention in conjunction with the accompanying drawings, so as to fully understand the purpose, features, and effects of the present invention. Attached Figure Description

[0036] Figure 1 This is a schematic diagram of a system for rapidly measuring the dynamic energy efficiency value of an air conditioner, according to a preferred embodiment of the present invention. Figure 2 This is a flowchart illustrating a preferred embodiment of the method for rapid determination of dynamic energy efficiency value of an air conditioner. Figure 3 This is a flowchart illustrating the process of simulating the energy efficiency value of an air conditioner under dynamic test conditions based on a capacity model, power model, and control parameters in a preferred embodiment of the present invention. Figure 4 This is a comparison chart of simulated and experimental values ​​of the capacity change curve of an air conditioner under a single dynamic test condition in a preferred embodiment of the present invention. Figure 5 This is a comparison chart of simulated and experimental values ​​of the power change curve of an air conditioner under a single dynamic test condition in a preferred embodiment of the present invention. Figure 6 This is a comparison chart of simulated and experimental values ​​of dynamic energy efficiency (DAPF) for each dynamic test cycle and the annual dynamic energy consumption efficiency under a preferred embodiment of the present invention. Detailed Implementation

[0037] The following description, with reference to the accompanying drawings, illustrates several preferred embodiments of the present invention to make its technical content clearer and easier to understand. The present invention can be embodied in many different forms, and the scope of protection of the present invention is not limited to the embodiments mentioned herein.

[0038] In the accompanying drawings, components with the same structure are indicated by the same numerical designation, and components with similar structures or functions are indicated by similar numerical designations. The dimensions and thicknesses of each component shown in the drawings are arbitrary, and the present invention does not limit the dimensions and thicknesses of each component. To make the illustrations clearer, the thickness of some components has been appropriately exaggerated in the drawings.

[0039] The dynamic energy efficiency measurement system and method for air conditioners of the present invention are described below with reference to the accompanying drawings.

[0040] In a preferred embodiment of the present invention, the air conditioner includes, but is not limited to, a room air conditioner. The following description uses a room air conditioner with a rated cooling capacity of 3.5kW and a rated cooling power of 0.8kW as an example to illustrate a specific implementation.

[0041] Figure 1 This is a schematic diagram of a system for rapidly determining the dynamic energy efficiency value of an air conditioner, according to a preferred embodiment of the present invention. Figure 1 As shown, the rapid measurement system for dynamic energy efficiency of air conditioners consists of two parts: hardware and software.

[0042] in--

[0043] The hardware component of the rapid dynamic energy efficiency value determination system for air conditioners is a steady-state performance testing device (101). The steady-state performance testing device (101) includes, but is not limited to, indoor air enthalpy method test device, balanced environment type room calorimeter and other air conditioner performance testing hardware devices, which are used to test the steady-state performance of air conditioners under specific operating conditions.

[0044] In a preferred embodiment of the present invention, preferably, an indoor air enthalpy method test device is used as a steady-state performance test device (101) to perform steady-state tests on the performance of the air conditioner.

[0045] The software component of the rapid dynamic energy efficiency value determination system for air conditioners includes the following modules: 1. An air conditioner parameter acquisition module (102) is configured to acquire the design parameters and / or control parameters of the air conditioner; 2. An air conditioner test condition generation module (103) is configured to generate test condition parameters based on the design parameters and / or the control parameters; 3. Steady-state performance test result acquisition module (104), configured to acquire steady-state performance test data of the air conditioner under the test conditions in the steady-state performance test equipment; 4. Capacity and power modeling module (105), configured to establish the capacity model and power model of the air conditioner based on the steady-state performance test data; 5. An air conditioner dynamic characteristic simulation module (106) is configured to simulate the cycle energy efficiency value of the air conditioner under dynamic test conditions based on the capacity model, the power model and the control parameters; 6. Dynamic energy efficiency value calculation module (107), which calculates the dynamic energy efficiency value of the air conditioner based on the periodic energy efficiency value of the dynamic test conditions. Figure 2This is a flowchart illustrating a preferred embodiment of the method for rapidly determining the dynamic energy efficiency value of an air conditioner. Figure 2 As shown, the rapid method for determining the dynamic energy efficiency value of an air conditioner includes the following steps: S201 Obtain the design parameters and / or control parameters of the air conditioner; S202 Generates the operating parameters of the test condition based on the design parameters and / or control parameters; S203 Obtain steady-state performance test data of the air conditioner under test conditions; S204 Establishes the capacity and power models of the air conditioner based on steady-state performance test data; S205 simulates the cycle energy efficiency value of an air conditioner under dynamic test conditions based on the capacity model, power model, and control parameters. S206 Calculates the dynamic energy efficiency value of the air conditioner based on the periodic energy efficiency value under dynamic test conditions.

[0046] In a preferred embodiment of the present invention, preferably, in step S201, the design parameters of the air conditioner include, but are not limited to, one or more of the following: rated cooling capacity, rated cooling power, design virtual load, and compressor capacity curve.

[0047] Preferably, the rated cooling capacity of the air conditioner is 3.5kW and the rated cooling power is 0.8kW.

[0048] Preferably, the design virtual load of the air conditioner is related to the rated cooling capacity of the air conditioner and to the outdoor temperature (including but not limited to: outdoor dry-bulb temperature T). out,db Indoor dry bulb temperature T in,db The relationship between the two variables is linear, and the formula is shown below: During cooling, the air conditioner's design virtual load BL C It can be represented as:

[0049] Among them, BL c Q is the design virtual load for cooling. ful,c T is the rated cooling capacity of the air conditioner. out,db The outdoor dry-bulb temperature, T in,db This refers to the indoor dry-bulb temperature.

[0050] When heating, the air conditioner's design virtual load BL h It can be represented as:

[0051] Among them, BL h Q is the design virtual load for heating. ful,c T is the rated cooling capacity of the air conditioner. out,dbThe outdoor dry-bulb temperature, T in,db This refers to the indoor dry-bulb temperature.

[0052] Preferably, the compressor capacity curve of the air conditioner is calculated using the following formula, whereby the compressor capacity value can be expressed as a quadratic function curve of the compressor operating frequency, i.e.:

[0053] Among them, Q comp The value represents the compressor capacity, N represents the compressor operating frequency, and A0~A2 are fitting coefficients, which are determined by fitting the data from compressor performance tests.

[0054] In a preferred embodiment of the present invention, preferably, in step S201, the control parameters of the air conditioner include, but are not limited to, one or more of the following: target indoor dry-bulb temperature, maximum fan speed, compressor operating frequency control strategy, and compressor operating frequency limit range.

[0055] Preferably, the target indoor dry-bulb temperature of the air conditioner is 27°C when cooling and 20°C when heating.

[0056] Preferably, the maximum fan speed of the air conditioner is 700m. 3 / h.

[0057] Preferably, the compressor operating frequency control strategy of the air conditioner adopts a PID control strategy, and the compressor operating frequency at the next moment can be calculated according to the following formula:

[0058] Where, N PID To calculate the compressor operating frequency at the next moment under the PID control strategy, K p K i and K d These are the proportional coefficient, integral coefficient, and differential coefficient, respectively. set Let τ be the target indoor dry-bulb temperature, and τ be the time.

[0059] Preferably, the compressor operating frequency limit range of the air conditioner is used to ensure the stable operation of the compressor, and can be expressed as:

[0060] Where, N next N represents the compressor's operating frequency at the next moment. min and N max These represent the lower limit and upper limit of the compressor's operating frequency, respectively.

[0061] In a preferred embodiment of the present invention, preferably, in step S202, operating condition parameters for the test condition are generated according to design parameters and / or control parameters, including but not limited to one or more of indoor dry-bulb temperature, indoor wet-bulb temperature, outdoor dry-bulb temperature, outdoor wet-bulb temperature, indoor unit air volume, and compressor operating frequency.

[0062] Preferably, the indoor dry-bulb temperature and indoor wet-bulb temperature can be set according to the target value set for the indoor temperature during dynamic testing.

[0063] Preferably, for cooling operation, the indoor dry bulb temperature is 27°C; for heating operation, the indoor dry bulb temperature is 20°C.

[0064] Preferably, the indoor wet-bulb temperature can be calculated based on the indoor dry-bulb temperature and a relative humidity of 50%. Preferably, for cooling operation, the indoor wet-bulb temperature is 19°C; for heating operation, the indoor wet-bulb temperature is 14°C.

[0065] Preferably, the outdoor dry-bulb temperature and outdoor wet-bulb temperature can be set according to the outdoor temperature conditions during dynamic testing. For cooling operation, the outdoor dry-bulb / wet-bulb temperatures are 35 / 24℃, 30 / 20℃ and 27 / 18℃ respectively; for heating operation, the outdoor dry-bulb / wet-bulb temperatures are -2 / -4℃ and 7 / 6℃ respectively.

[0066] Preferably, the indoor unit airflow of the air conditioner can be set to the maximum setting, maintaining an airflow of 700 m³ / h for both cooling and heating operations. 3 / h.

[0067] Preferably, the maximum operating frequency of the air conditioner's compressor can be set according to the upper limit of the compressor's operating frequency under the corresponding dynamic test conditions; in a preferred embodiment of the present invention, the maximum operating frequency of the air conditioner can be set according to the outdoor temperature.

[0068] Specifically, in cooling mode, the maximum operating frequency of the compressor is 100Hz when the outdoor temperature is 35℃, 85Hz when the outdoor temperature is 30℃, and 60Hz when the outdoor temperature is 27℃; in heating mode, the maximum operating frequency of the compressor is 110Hz when the outdoor temperature is -2℃, and 90Hz when the outdoor temperature is 7℃.

[0069] Preferably, the minimum operating frequency of the air conditioner's compressor is set by making the compressor capacity equal to the virtual load of the dynamic test condition. The minimum operating frequency can be obtained by solving the following formula:

[0070] Among them, Q compBL represents the compressor capacity and the design virtual load.

[0071] The following table summarizes the operating conditions at which the air conditioner requires steady-state performance testing, with the compressor operating frequency rounded down. The capacity and power parameters of the air conditioner were obtained from the 10 operating conditions listed in the table below using the indoor air enthalpy method testing apparatus.

[0072] Table 1. Operating parameters for 10 test conditions

[0073] In a preferred embodiment of the present invention, preferably, in step S203, steady-state performance test data of the air conditioner under test conditions is obtained, and the steady-state performance test data includes, but is not limited to, the air conditioner capacity and the air conditioner power.

[0074] Preferably, the steady-state performance of the air conditioner can be tested using hardware equipment such as an air enthalpy difference test bench or a room thermal balance test bench.

[0075] In a preferred embodiment of the present invention, preferably, in step S204, a capacity model and a power model of the air conditioner are established based on steady-state performance test data. The capacity model and power model of the air conditioner can be expressed as functions of indoor dry-bulb temperature, indoor wet-bulb temperature, outdoor dry-bulb temperature, outdoor wet-bulb temperature, indoor unit air volume, and compressor operating frequency.

[0076] Specifically, it is necessary to establish separate capacity and power models for the air conditioner under cooling conditions, as well as capacity and power models for the air conditioner under heating conditions.

[0077] 1. In cooling mode, the cooling capacity and cooling power of an air conditioner are affected by the indoor dry-bulb temperature, indoor wet-bulb temperature, outdoor dry-bulb temperature, and compressor operating frequency.

[0078] (1) The cooling capacity model of an air conditioner can be represented as:

[0079] Among them, Q c Q represents the cooling capacity of an air conditioner. ful,c The rated cooling capacity is T, where F is the factor affecting cooling / heating capacity, and the subscript c indicates cooling. in,db T in,wb T out,db These represent the indoor dry-bulb temperature, indoor wet-bulb temperature, and outdoor dry-bulb temperature, respectively. N is the compressor operating frequency, the subscript ref indicates the reference value, and B1~B5 are linear variation factors. (2) The cooling power model of an air conditioner can be expressed as:

[0080] Among them, P c P represents the cooling capacity of the air conditioner. ful,c T represents the rated cooling capacity of the air conditioner, G is the influencing factor of cooling / heating power, the subscript c indicates cooling, and T represents the rated cooling capacity of the air conditioner. in,db T in,wb T out,db These represent the indoor dry-bulb temperature, indoor wet-bulb temperature, and outdoor dry-bulb temperature, respectively. N is the compressor operating frequency, the subscript ref indicates the reference value, and C1~C5 are linear variation factors. Preferably, the effects of indoor dry-bulb temperature and indoor wet-bulb temperature on the cooling capacity and cooling power of the air conditioner exhibit a linear trend. The indoor dry-bulb temperature of 27°C and wet-bulb temperature of 19°C under the test conditions can be used as a baseline value to map to other indoor temperatures, i.e., T. in,db,ref and T in,wb,ref Taking 27 and 19 respectively, the calculation formula can be expressed as:

[0081] Among them, B1, C1, B2 and C2 are linear variation factors, which can be taken as empirical values ​​of 0.0404, 0.0042, 0.0375 and 0.0086 respectively.

[0082] Optionally, the aforementioned linear variation factors B1, C1, B2, and C2 can be obtained by fitting the steady-state performance test data of the air conditioner under additional indoor dry-bulb temperature and indoor wet-bulb temperature conditions.

[0083] Preferably, the effect of outdoor dry-bulb temperature on the air conditioner's cooling capacity and cooling power also exhibits a linear variation law. Using the outdoor dry-bulb temperature of 35℃ under test conditions as a baseline value, and mapping it to other outdoor temperatures, i.e., T... out,db,ref Taking 35, its calculation formula can be expressed as:

[0084] Preferably, in step S203, the steady-state performance data of the air conditioner at different outdoor dry-bulb temperatures were measured. Therefore, in this embodiment, these data are used to fit the coefficients B3 and C3 in the formula.

[0085] Preferably, the effect of the air conditioner's compressor operating frequency on the air conditioner's cooling capacity and cooling power exhibits an exponential variation law, which is expressed by the following formulas:

[0086] Where, N ref The reference value for the compressor operating frequency is 60Hz. In the test in step S202, the steady-state performance data of the air conditioner under cooling conditions at different compressor operating frequencies were measured. Therefore, in this embodiment, these data are used to fit the coefficients B4, B5, C4 and C5 in the formula.

[0087] After combining and organizing the coefficients of the above influencing factors, the cooling capacity and cooling power of the air conditioner can be expressed as:

[0088] Among them, coefficients B3~B5 and coefficients C3~C5 can be determined by fitting the test data of refrigeration conditions 1~6 obtained in step S202.

[0089] When cooling, it is necessary to calculate the sensible cooling capacity and latent cooling capacity of the air conditioner separately. This can be calculated by comparing the amount of cooling required to lower the air to the dew point temperature with the total cooling capacity of the air conditioner, as shown below:

[0090] Among them, Q c,s and Q c,l These represent sensible cooling capacity and latent cooling capacity, respectively; AF represents the air volume of the indoor unit of the air conditioner; ρ represents the air density; cp represents the specific heat of air at constant pressure; and T represents the air volume at constant pressure. in,dp This indicates the dew point temperature of the indoor air.

[0091] 2. In heating mode, the heating capacity and power of an air conditioner are affected by the indoor dry-bulb temperature, the outdoor dry-bulb and wet-bulb temperatures, and the compressor operating frequency.

[0092] (1) The heating capacity model of an air conditioner can be represented as:

[0093] Among them, Q h Q represents the heating capacity of an air conditioner. ful,c The rated cooling capacity of the air conditioner is T, where F represents the influencing factor of cooling / heating capacity, the subscript h indicates heating capacity, and T represents the rated cooling capacity of the air conditioner. in,db T in,wb T out,dbThese represent the indoor dry-bulb temperature, indoor wet-bulb temperature, and outdoor dry-bulb temperature, respectively. -7, 2, and 7 represent the outdoor dry-bulb temperature under ultra-low temperature heating conditions, low temperature heating conditions, and rated heating conditions, respectively. The subscript ref indicates the reference value, and D1~D5 are linear variation factors. (2) The heating power model of an air conditioner can be expressed as:

[0094] Among them, P h P represents the heating capacity of the air conditioner. ful,c The rated cooling capacity of the air conditioner is given by G, which represents the influencing factor of cooling / heating power. The subscript h indicates heating capacity. in,db T in,wb T out,db These represent the indoor dry-bulb temperature, indoor wet-bulb temperature, and outdoor dry-bulb temperature, respectively. -7, 2, and 7 represent the outdoor dry-bulb temperature under ultra-low temperature heating conditions, low temperature heating conditions, and rated heating conditions, respectively. N is the compressor operating frequency, the subscript ref indicates the reference value, and E1~E5 are linear variation factors.

[0095] Preferably, the effect of indoor dry-bulb temperature on the heating capacity and heating power of the air conditioner is approximately linear, and can be mapped to other indoor temperatures using the indoor dry-bulb temperature of 20°C under the test conditions as a baseline, i.e., T indb,ref Taking 20, its calculation formula can be expressed as:

[0096] Where D1 and E1 are linear variation factors, which can be taken as empirical values ​​of -0.0096 and 0.0139, respectively.

[0097] Alternatively, the aforementioned coefficients D1 and E1 can be obtained by fitting the steady-state performance test data of the air conditioner under additional indoor dry-bulb temperature conditions.

[0098] There is a combined relationship between outdoor dry-bulb temperature and outdoor wet-bulb temperature; their impact on the heating capacity and heating power of an air conditioner can be expressed together. The heating capacity and heating power of an air conditioner exhibit a piecewise linear variation with changes in outdoor dry-bulb and wet-bulb temperatures, as shown below:

[0099] Among them, D2, D3, E2 and E3 are linear variation factors, which can be taken as empirical values ​​of 0.64, 0.778, 0.82 and 0.883 respectively.

[0100] The effect of compressor operating frequency on the heating capacity and heating power of an air conditioner exhibits an exponential trend, which can be expressed by the following formulas:

[0101] Where, N ref The reference value for the compressor operating frequency is 60Hz. In step S203, the heating steady-state performance data of the air conditioner at different compressor operating frequencies were measured. Therefore, in this embodiment, these data are used to fit the coefficients D4, D5, E4 and E5 in the formula.

[0102] After combining and organizing the coefficients of the above influencing factors, the cooling capacity and heating power of the air conditioner can be expressed as f respectively:

[0103] Among them, coefficients D4, D5, E4 and E5 can be determined by fitting the test data of heating conditions 7 to 10 obtained in S203.

[0104] When heating, the indoor unit does not involve dehumidification, so all the heating capacity is sensible heat.

[0105] In a preferred embodiment of the present invention, preferably, in step S205, simulating the cycle energy efficiency value of the air conditioner under dynamic test conditions based on the capacity model, power model, and control parameters further includes the following steps: S2051 Initializes the operating parameters of the dynamic test condition; Preferably, initialization includes, but is not limited to, the following data: initial indoor dry-bulb temperature, initial indoor wet-bulb temperature, outdoor dry-bulb temperature, outdoor wet-bulb temperature, sensible heat ratio, and simulation time step.

[0106] S2052 Calculate the capacity and power of the air conditioner based on the capacity model and power model; Preferably, based on the capacity and power model of the air conditioner under cooling and heating conditions obtained in step S3, the indoor dry-bulb temperature, indoor wet-bulb temperature, outdoor dry-bulb temperature, outdoor wet-bulb temperature, indoor unit air volume, and compressor operating frequency parameters are substituted into the calculation to obtain the capacity and power of the air conditioner.

[0107] S2053 Calculate the virtual load of the air conditioner; Preferably, the virtual load of the air conditioner includes sensible heat load and latent heat load.

[0108] Preferably, the virtual load during refrigeration is divided according to the sensible heat ratio, as shown in the following formula:

[0109] Among them, BL c,s and BL c,l These are the sensible heat load and latent heat load, respectively, with SHR being the sensible heat ratio.

[0110] During heating, the virtual load is entirely sensible heat load.

[0111] S2054 Calculates the operating parameters of the dynamic test condition at the next moment based on the air conditioner's capacity and power, as well as the virtual load; Preferably, the indoor dry-bulb temperature and indoor wet-bulb temperature for the next dynamic test condition are calculated based on the air conditioner's capacity and the virtual load.

[0112] Specifically, the indoor dry-bulb temperature at the next moment during cooling is calculated using the following formula:

[0113] Among them, T in,db (τ+Δτ) represents the indoor dry-bulb temperature at the next moment, T in,db (τ) represents the current indoor dry-bulb temperature, Δτ represents the simulation time step, and BL c,s (τ) represents the sensible heat load at the current moment, Q c,s (τ) represents the sensible cooling capacity of the air conditioner at the current moment, C s This refers to sensible heat capacity.

[0114] The indoor humidity level at the next moment during cooling is calculated using the following formula:

[0115] Where W(τ+Δτ) is the indoor humidity at the next moment, W(τ) is the indoor humidity at the current moment, and BL c,l (τ) represents the latent heat load at the current moment, Q c,l (τ) represents the latent cooling capacity of the air conditioner at the current moment, h fg For the latent heat of vaporization of water, C w This refers to latent heat capacity.

[0116] The indoor wet-bulb temperature at the next moment during cooling can be calculated using the wet air property equation based on the indoor dry-bulb temperature and indoor humidity at the next moment.

[0117] The indoor dry-bulb temperature at the next moment during heating is calculated using the following formula:

[0118] Among them, T in,db (τ+Δτ) represents the indoor dry-bulb temperature at the next moment, Tin,db (τ) represents the current indoor dry-bulb temperature, Δτ represents the simulation time step, and BL h (τ) represents the current virtual heating load, Q h (τ) represents the heating capacity of the air conditioner at the current moment.

[0119] When heating, the indoor humidity remains constant. The indoor wet-bulb temperature at the next moment during heating can be calculated from the wet air property equation based on the indoor dry-bulb temperature and indoor humidity at the next moment.

[0120] S2055 updates the operating parameters for the next moment based on the control parameters; Preferably, the compressor frequency is updated for the next moment according to the control strategy of the air conditioner.

[0121] Specifically, the compressor operating frequency calculation formula for the next moment in step S201 is used to calculate the indoor dry-bulb temperature and the target indoor dry-bulb temperature.

[0122] Repeat steps S2052-S2055 until the simulation duration meets the required duration for dynamic testing. Preferably, the dynamic test requires a duration of 4 hours, and the above cycle ends when the simulation duration reaches 4 hours.

[0123] When the simulation duration reaches the required duration for dynamic testing, exit the loop and execute step S2056.

[0124] S2056 Simulates the cycle energy efficiency value of an air conditioner under dynamic test conditions.

[0125] Specifically, the instantaneous capability and instantaneous power at each moment during the 4-hour simulation period are averaged to obtain the cyclic capability and cyclic power under the current operating condition, as shown below:

[0126] in, and These are cycle capability and cycle power, respectively. and These represent the instantaneous capability and instantaneous power at each simulation moment, respectively, and M represents the number of simulation moments.

[0127] Furthermore, the cycle efficiency under the current operating condition is obtained by dividing the cycle capacity by the cycle power, as shown in the following formula:

[0128] Where E represents the cycle energy efficiency under the current operating conditions.

[0129] In this embodiment, the comparison between the simulated and experimental values ​​of the air conditioner capacity change curve under a single dynamic test condition is shown in the example. Figure 4 As shown.

[0130] In this embodiment, the comparison between the simulated and experimental values ​​of the power change curve of an air conditioner under a single dynamic test condition is shown in the example. Figure 5 As shown.

[0131] from Figure 4 and Figure 5 It can be seen that the dynamic operating characteristics of the air conditioner obtained by the simulation method of the present invention can accurately correspond to the experimental values ​​and can well reflect the capacity and power change characteristics of the air conditioner in dynamic testing.

[0132] In a preferred embodiment of the present invention, preferably, in step S206, the dynamic energy efficiency value of the air conditioner is calculated based on the periodic energy efficiency value of the dynamic test condition.

[0133] Preferably, the dynamic energy efficiency value of the air conditioner is the annual dynamic energy consumption efficiency (DAPF). The annual dynamic energy consumption efficiency (DAPF) can be calculated using the cycle energy efficiency under various dynamic test conditions, as shown in the following formula:

[0134] Where DAPF represents the annual dynamic energy consumption efficiency, BL is the virtual load, E is the periodic energy efficiency, and t is the cyclical energy efficiency. j Indicates outdoor temperature, n (tj) This indicates the time when the outdoor temperature occurred, with the subscripts c and h representing cooling and heating, respectively.

[0135] In this embodiment, the comparison chart of simulated and experimental values ​​of energy efficiency for each dynamic test cycle and the annual dynamic energy efficiency is shown below. Figure 6 As shown.

[0136] from Figure 6 It can be seen that the simulated and experimental values ​​of the periodic energy efficiency of the air conditioner under dynamic test conditions obtained by the simulation method of this invention can accurately correspond. Among them, the simulated value of the annual dynamic energy consumption efficiency is 4.57, the experimental value is 4.66, and the relative error is -2.1%, indicating that the rapid determination system and method for the dynamic energy efficiency of the air conditioner provided by this invention can accurately determine the dynamic energy efficiency value of the air conditioner.

[0137] In this embodiment of the invention, the air conditioner performance measurement uses the original steady-state energy efficiency testing equipment, saving the cost of hardware modification of the experimental equipment; in terms of testing time, a complete dynamic test generally takes about 70 hours, while in this embodiment, the steady-state operating condition measurement takes about 10 hours, the software data processing time is negligible, and the time required to obtain the dynamic energy efficiency value is shortened by more than 80%.

[0138] The preferred embodiments of the present invention have been described in detail above. It should be understood that those skilled in the art can make numerous modifications and variations based on the concept of the present invention without creative effort. Therefore, all technical solutions that can be obtained by those skilled in the art based on the concept of the present invention through logical analysis, reasoning, or limited experimentation on the basis of existing technology should be within the scope of protection defined by the claims.

Claims

1. A rapid method for determining the dynamic energy efficiency value of an air conditioner, characterized in that, Includes the following steps: S201 Obtain the design parameters and / or control parameters of the air conditioner; S202 Generate the operating condition parameters for the test condition based on the design parameters and / or the control parameters; S203 Obtain the steady-state performance test data of the air conditioner under the test conditions; S204. Based on the steady-state performance test data, establish the capacity model and power model of the air conditioner; S205 Based on the capacity model, the power model, and the control parameters, simulate the cycle energy efficiency value of the air conditioner under dynamic test conditions; S206 Calculate the dynamic energy efficiency value of the air conditioner based on the cycle energy efficiency value of the dynamic test conditions.

2. The method for rapid determination of dynamic energy efficiency value of an air conditioner as described in claim 1, characterized in that, Step S205 further includes: S2051 Initialize the operating parameters of the dynamic test condition; S2052 Calculate the capacity and power of the air conditioner based on the capacity model and the power model; S2053 Calculate the virtual load of the air conditioner; S2054 Calculate the operating parameters of the dynamic test condition at the next moment based on the capacity and power of the air conditioner and the virtual load; S2055 Updates the operating parameters for the next moment based on the control parameters; Repeat steps S2052-S2055 until the simulation duration meets the required duration for dynamic testing. S2056 Simulates the cycle energy efficiency value of the air conditioner under the dynamic test conditions.

3. A rapid method for determining the dynamic energy efficiency value of an air conditioner according to claim 1 or 2, characterized in that: The design parameters include one or more of the following: rated cooling capacity, rated cooling power, design virtual load, and compressor capacity curve.

4. A rapid method for determining the dynamic energy efficiency value of an air conditioner according to claim 1 or 2, characterized in that: The control parameters include one or more of the following: target indoor dry-bulb temperature, maximum fan speed, compressor operating frequency control strategy, and compressor operating frequency limit range.

5. A rapid method for determining the dynamic energy efficiency value of an air conditioner according to claim 1 or 2, characterized in that: The operating parameters include one or more of the following: indoor dry-bulb temperature, indoor wet-bulb temperature, outdoor dry-bulb temperature, outdoor wet-bulb temperature, indoor unit air volume, and compressor operating frequency.

6. The method for rapidly determining the dynamic energy efficiency value of an air conditioner according to claim 2, characterized in that, Step 204 further includes: In cooling mode The cooling capacity model of the air conditioner can be represented as: Among them, Q c Q represents the cooling capacity of an air conditioner. ful,c The rated cooling capacity is T, where F is the factor affecting cooling / heating capacity, and the subscript c indicates cooling. in,db T in,wb T out,db These represent the indoor dry-bulb temperature, indoor wet-bulb temperature, and outdoor dry-bulb temperature, respectively. N is the compressor operating frequency, the subscript ref indicates the reference value, and B1~B5 are linear variation factors. The cooling power model of the air conditioner can be represented as: Among them, P c P represents the cooling capacity of the air conditioner. ful,c T represents the rated cooling capacity of the air conditioner, G is the influencing factor of cooling / heating power, the subscript c indicates cooling, and T represents the rated cooling capacity of the air conditioner. in,db T in,wb T out,db These represent the indoor dry-bulb temperature, indoor wet-bulb temperature, and outdoor dry-bulb temperature, respectively. N is the compressor operating frequency, the subscript ref indicates the reference value, and C1~C5 are linear variation factors.

7. The method for rapidly determining the dynamic energy efficiency value of an air conditioner according to claim 2, characterized in that, Step 204 further includes: In heating mode The heating capacity model of the air conditioner can be represented as follows: Among them, Q h Q represents the heating capacity of an air conditioner. ful,c The rated cooling capacity of the air conditioner is T, where F represents the influencing factor of cooling / heating capacity, the subscript h indicates heating capacity, and T represents the rated cooling capacity of the air conditioner. in,db T in,wb T out,db These represent the indoor dry-bulb temperature, indoor wet-bulb temperature, and outdoor dry-bulb temperature, respectively. -7, 2, and 7 represent the outdoor dry-bulb temperature under ultra-low temperature heating conditions, low temperature heating conditions, and rated heating conditions, respectively. The subscript ref indicates the reference value, and D1~D5 are linear variation factors. The heating power model of the air conditioner can be represented as: Among them, P h P represents the heating capacity of the air conditioner. ful,c The rated cooling capacity of the air conditioner is given by G, which represents the influencing factor of cooling / heating power. The subscript h indicates heating capacity. in,db T in,wb T out,db These represent the indoor dry-bulb temperature, indoor wet-bulb temperature, and outdoor dry-bulb temperature, respectively. -7, 2, and 7 represent the outdoor dry-bulb temperature under ultra-low temperature heating conditions, low temperature heating conditions, and rated heating conditions, respectively. N is the compressor operating frequency, the subscript ref indicates the reference value, and E1~E5 are linear variation factors.

8. The method for rapidly determining the dynamic energy efficiency value of an air conditioner according to claim 2, characterized in that: In step 2055, the compressor operating frequency is updated for the next moment according to the compressor operating frequency control strategy. The compressor operating frequency control strategy mentioned above adopts a PID control strategy; The formula for the compressor operating frequency at the next moment is: Where, N PID To calculate the compressor operating frequency at the next moment under the PID control strategy, K p K i and K d These are the proportional coefficient, integral coefficient, and differential coefficient, respectively. set Let τ be the target indoor dry-bulb temperature, and τ be the time.

9. A rapid method for determining the dynamic energy efficiency value of an air conditioner according to claim 1 or 2, characterized in that: The dynamic energy efficiency value is the annual dynamic energy consumption efficiency (DAPF), and its formula is: Among them, t j Indicates the outdoor temperature, n(t) j The outdoor temperature corresponds to the time of occurrence, BL is the virtual load, E is the cycle efficiency, and the subscripts c and h represent cooling and heating, respectively.

10. A rapid measurement system for the dynamic energy efficiency value of an air conditioner, characterized in that, include: An air conditioner parameter acquisition module is configured to acquire the design parameters and / or control parameters of the air conditioner. An air conditioner test condition generation module is configured to generate test condition parameters based on the design parameters and / or the control parameters. Steady-state performance testing equipment; The steady-state performance test result acquisition module is configured to acquire steady-state performance test data of the air conditioner under the test conditions in the steady-state performance test equipment. The capacity and power modeling module is configured to establish a capacity model and a power model of the air conditioner based on the steady-state performance test data. An air conditioner dynamic characteristic simulation module is configured to simulate the periodic energy efficiency value of the air conditioner under dynamic test conditions based on the capacity model, the power model, and the control parameters. The dynamic energy efficiency value calculation module calculates the dynamic energy efficiency value of the air conditioner based on the periodic energy efficiency value of the dynamic test conditions.

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