Estimation method for power consumption of fan and refrigeration equipment

Abstract

The invention discloses a fan power consumption estimation method and refrigeration equipment. The method for estimating the power consumption of the fan comprises the following steps of: sampling operation parameters of the refrigeration equipment for calculating the power of the fan by taking a time step as a unit, calculating the real-time power of the fan, and performing integral accumulation on the real-time power at each sampling moment to obtain the power consumption of the fan; if the heat exchanger corresponding to the fan at the current sampling moment is in a non-defrosting state, obtaining previous defrosting operation time and current defrosting interval time, and inputting the previous defrosting operation time and the current defrosting interval time into a frosting grade evaluation model to obtain a current frosting grade; meanwhile, the real-time environment temperature and the fan rotating speed are obtained, and the fan reference power is obtained through calculation; and based on the frosting grade and the fan reference power, compensation power is obtained through calculation, and the sum of the fan reference power and the compensation power serves as the real-time power of the fan at the current sampling moment. According to the method, more accurate real-time power and power consumption of the fan can be estimated.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of power consumption estimation of refrigeration equipment, and particularly relates to a fan power consumption estimation method and corresponding refrigeration equipment. BACKGROUND

[0002] When estimating the total power consumption of a refrigeration system or a heat pump system of a refrigeration equipment, a commonly used method is to disassemble the system into several main power consumption components, estimate the power consumption of each component respectively, and finally totalize them.

[0003] Taking a heat pump outdoor unit as an example, the power consumption mainly comes from the compressor, the outdoor fan, the four-way valve, the chassis electric heating belt, the compressor electric heating belt and other low-power components. Therefore, the core of the electricity cost estimation of the system lies in the accurate calculation of the cumulative power consumption of the above-mentioned components under specific operating conditions. Among them, the existing technology needs to estimate the power consumption of the fan based on the power of the fan, but in the existing technology, a too idealized estimation method is usually used, which directly quotes the “rated power” or “maximum input power” marked in the fan product specification as the estimation basis. For example, if the specification book indicates that the rated power of a certain fan is 200 watts, then in the power estimation model, regardless of the actual operating conditions of the system, the power consumption of the fan is simply calculated using the formula “power x operating time” (i.e. 200 watts x hours). However, the rated power in the fan specification book is usually measured under specific, ideal laboratory conditions, and the fan power used in this estimation method is seriously inconsistent with the actual operating power. However, it is relatively difficult to accurately estimate the power consumption of the fan. The difficulty in estimating the power consumption of the fan lies in the fact that the actual operating power is not a fixed value, but is strongly dependent on the real-time operating state of the unit. When the ambient temperature changes or the system load changes, the operating state of the fan needs to be adjusted accordingly, and its power also fluctuates dramatically. Even if the existing technology takes these changes into account, the estimation of the power consumption of the fan is still inaccurate. For example, the fan installed at the evaporator will be affected by whether the evaporator is in the defrosting mode, the thickness of the frost layer, etc., which will affect the operating state of the fan and thus affect the power of the fan. However, the frosting state of the evaporator is usually not detected, which makes it impossible to estimate the power change of this part of the fan, and thus the power consumption of the fan cannot be more accurately estimated.

[0004] Therefore, there is an urgent need in the art for a method that can more accurately estimate the power consumption of the fan. SUMMARY

[0005] In order to solve the technical problem in the prior art that the power of the corresponding fan cannot be estimated when the corresponding heat exchanger is in different frosting states, resulting in the inability to accurately estimate the power consumption of the fan, the present invention proposes a method for estimating the power consumption of the fan and a refrigeration device.

[0006] The method for estimating the power consumption of a fan in this invention includes: sampling the operating parameters of the refrigeration equipment related to the calculation of the fan power in units of time steps, calculating the real-time power of the fan, integrating and accumulating the real-time power at each sampling moment to obtain the power consumption of the fan. If the heat exchanger corresponding to the fan is in a non-defrosting state where defrosting has ended and has not entered the next defrosting cycle at the current sampling time, the previous defrosting operation time and the current defrosting interval time are obtained. Based on the frost level evaluation model established in advance based on the defrosting interval of the refrigeration equipment and the previous defrosting operation time, the previous defrosting operation time and the current defrosting interval time are input into the frost level evaluation model to obtain the current frost level. Simultaneously, real-time ambient temperature and fan speed are acquired to calculate the fan's base power; Based on the frost level and the fan's reference power, the compensation power is calculated, and the sum of the fan's reference power and the compensation power is taken as the fan's real-time power at the current sampling moment.

[0007] Furthermore, if the heat exchanger corresponding to the fan is in defrosting mode at the current sampling time, the standby power of the fan will be used as the real-time power at the current sampling time.

[0008] Furthermore, the frost level assessment model established based on the defrosting interval and defrosting operation time of refrigeration equipment includes: Divide the defrosting process into multiple levels and define a range of frosting severity scores for each level. Establish a function to evaluate the degree of frost formation. Where S is the frost severity score, α and β are coefficients, Δt1 is the current defrosting interval, Δt2 is the previous defrosting run time, and the coefficients of the frost severity evaluation function are obtained based on the frost severity scores corresponding to the historical frost severity levels, as well as the corresponding previous defrosting run time and the current defrosting interval. A frosting level assessment model is established based on the frosting degree assessment function and the range of frosting degree score values ​​for defrosting level.

[0009] Furthermore, the compensation power is obtained by multiplying the wind turbine's base power by the compensation coefficient corresponding to the frost level.

[0010] Furthermore, the range of the frost severity score includes S < 0.5, 0.5 ≤ S < 1.0, 1.0 ≤ S < 1.5, and S ≥ 1.5.

[0011] Furthermore, the refrigeration equipment includes air conditioners, refrigerators, or freezers.

[0012] Furthermore, if the refrigeration equipment is an air conditioner, and the operating mode of the refrigeration equipment at the current sampling time is the refrigeration mode, and the heat exchanger corresponding to the fan is the outdoor heat exchanger, the real-time ambient temperature and fan speed are obtained, and the fan reference power is calculated as the real-time power at the current sampling time.

[0013] Furthermore, obtaining real-time ambient temperature and fan speed, and calculating the fan's base power includes the following steps: Calculate air density based on real-time ambient temperature. ρ =287⋅(T ℃ +273.15)101325, T ℃ Real-time ambient temperature; Calculate the real-time flow rate Q and real-time pressure ΔP of the fan: Q = Q0⋅(n / n0), ΔP = ΔP0⋅(n / n0) 2 Q0 is the rated flow rate of the fan, n0 is the rated speed of the fan, ΔP0 is the rated air pressure of the fan, and n is the real-time speed. Through formula P 机械 =ηρ⋅Q⋅ΔP is used to calculate the base power of the wind turbine, where η is the wind turbine efficiency.

[0014] The refrigeration equipment proposed in this invention includes a control module and a fan. The control module calculates the power consumption of the fan using the power consumption estimation method described in the above technical solution.

[0015] This invention quantifies the frosting state of the heat exchanger by calculating the previous defrosting operation time and the current defrosting interval, thereby obtaining the corresponding frosting level. Based on the frosting level, the fan power is adaptively compensated, estimating the impact of the heat exchanger's frosting condition on the fan, thus improving the accuracy of fan power and power consumption estimation. When the refrigeration equipment is an air conditioner, when the refrigeration equipment is in defrosting mode, the power consumption Jb is calculated by integrating the standby power Pb with the defrosting time; when the unit is not defrosting, the compensated power Jc is obtained by integrating the power compensation value Pc with the heat pump operation time of the previous period, and then added to the power consumption Jd accumulated by the base power P2 to obtain the final power consumption Je, thereby improving the accuracy of power estimation. This invention further realizes the dynamic adjustment calculation of fan power based on the unit's operating mode (cooling / heating), ambient temperature, and fan speed, calculating the fan base power P1 during cooling and the fan base power P2 during heating. Compared with the method of calculating using rated power, the fan base power of this invention is also more accurate. Attached Figure Description

[0016] The present invention will now be described in detail with reference to the embodiments and accompanying drawings, wherein: Figure 1 This is a flowchart illustrating the estimation of wind turbine power consumption according to an embodiment of the present invention.

[0017] Figure 2 This is a flowchart of a real-time power estimation process according to an embodiment of the present invention.

[0018] Figure 3 This is a flowchart illustrating the construction of a frost level assessment model according to an embodiment of the present invention.

[0019] Figure 4 This is a flowchart of the estimation of the reference power of a wind turbine according to an embodiment of the present invention.

[0020] Figure 5 This is a flowchart illustrating the estimation of wind turbine power consumption in an application embodiment of the present invention. Detailed Implementation

[0021] To make the technical problems to be solved, the technical solutions, and the beneficial effects of the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0022] Therefore, a feature pointed out in this specification is used to describe one feature of one embodiment of the invention, and does not imply that every embodiment of the invention must have the described feature. Furthermore, it should be noted that this specification describes many features. Although certain features may be combined to illustrate possible system designs, these features may also be used in other combinations not explicitly stated. Therefore, unless otherwise stated, the described combinations are not intended to be limiting.

[0023] In order to solve the problem in the prior art that the power consumption of the fan in refrigeration equipment is inaccurate because the frosting state of the heat exchanger corresponding to the fan cannot be directly detected, the present invention proposes a method for estimating the power consumption of the fan.

[0024] In a basic embodiment, the method for estimating the power consumption of a wind turbine according to the present invention includes the following steps.

[0025] like Figure 1 As shown, the operating parameters related to the calculation of the fan power of the refrigeration equipment are sampled in units of time step; the operating parameters referred to here are mainly those related to the calculation of the fan power, such as ambient temperature.

[0026] Next, the real-time power of the fan is calculated, and the real-time power at each sampling time is integrated and accumulated to obtain the power consumption of the fan.

[0027] like Figure 2As shown, when calculating the real-time power of the fan, if the heat exchanger corresponding to the fan is in a non-defrosting state at the current sampling time after defrosting has ended and before entering the next defrosting cycle, the previous defrosting operation time and the current defrosting interval time are obtained. Based on the frost level evaluation model established in advance based on the defrosting interval of the refrigeration equipment and the previous defrosting operation time, the previous defrosting operation time and the current defrosting interval time are input into the frost level evaluation model to obtain the current frost level. Simultaneously, real-time ambient temperature and fan speed are acquired to calculate the fan's base power; Based on the frost level and the fan's reference power, the compensation power is calculated, and the sum of the fan's reference power and the compensation power is taken as the fan's real-time power at the current sampling moment.

[0028] This invention establishes a frost level assessment model based on the defrost interval and the previous defrost operation time. The defrost interval refers to the operating time of the refrigeration equipment after the end of the previous defrost cycle and before entering the next defrost cycle; that is, the timing starts at the end of the previous defrost cycle and ends at the current sampling time, which is not necessarily any point in time when the current defrost process has already begun. Initially, the frost level assessment model can be trained by collecting a large amount of data on the previous defrost operation time and the frost level corresponding to the current defrost interval. This allows for the assessment of the frost state of the heat exchanger corresponding to the fan. Based on the assessment results, the fan power is compensated to obtain a relatively accurate real-time fan power, which is then used to calculate the fan's power consumption. This method allows for a relatively accurate assessment of the fan's power consumption under different frost states (including the non-frost state), thus enabling a more accurate estimation of the fan's power consumption.

[0029] In one embodiment, if the heat exchanger corresponding to the fan is in defrosting mode at the current sampling time, the standby power of the fan is used as the real-time power at the current sampling time.

[0030] When the heat exchanger corresponding to the fan is in the defrosting state, the fan is in standby mode. At this time, the standby power of the fan can be used as the real-time power at the current sampling moment to accurately estimate the power consumption of the fan.

[0031] The above two embodiments provide a preferred embodiment for selecting the sampling time. Since the fan is in standby mode when the heat exchanger corresponding to the fan is in defrosting mode, only one sampling is needed when the corresponding heat exchanger is in defrosting mode. By integrating and accumulating the fan power during the defrosting period, the power consumption of the fan during the defrosting stage can be obtained. However, when the heat exchanger corresponding to the fan is not in defrosting mode, multiple samplings are required. At least one sampling should be performed when the corresponding heat exchanger is in each defrosting level to accurately predict the fan power consumption.

[0032] In addition to existing methods for establishing frost level assessment models, this invention also provides another method for establishing frost level assessment models, such as... Figure 3 As shown, in one embodiment, the frost level assessment model based on the defrost interval and defrost operation time of the refrigeration equipment includes the following steps.

[0033] Divide the defrosting process into multiple levels and define a range of frosting severity scores for each level. Establish a function to evaluate the degree of frost formation. Where S is the frost severity score, α and β are coefficients, Δt1 is the current defrosting interval, Δt2 is the previous defrosting run time, and the coefficients of the frost severity evaluation function are obtained based on the frost severity scores corresponding to the historical frost severity levels, as well as the corresponding previous defrosting run time and the current defrosting interval. A frosting level assessment model is established based on the frosting degree assessment function and the range of frosting degree score values ​​for defrosting level.

[0034] This embodiment quantifies the degree of frost by establishing a frost degree evaluation function, and then classifies specific frost levels based on the quantified values. This allows the degree of frost on the heat exchanger corresponding to the fan to be evaluated using quantifiable data. This quantifiable data is based on the previous defrosting operation time and the current defrosting interval time, thus establishing a quantifiable and strong correlation between the previous defrosting operation time, the current defrosting interval time, and the defrosting level, thereby more accurately compensating for the fan power.

[0035] In one embodiment, the compensation power is obtained by multiplying the wind turbine's base power by a compensation coefficient corresponding to the frost level. The compensation coefficients for different frost levels can be obtained by fitting historical data. By dynamically compensating the wind turbine's power based on different frost conditions, a more accurate power consumption of the wind turbine can be obtained.

[0036] In one specific embodiment, the range of frost severity scores includes S < 0.5, 0.5 ≤ S < 1.0, 1.0 ≤ S < 1.5, and S ≥ 1.5. This range is defined by data collection for a specific refrigeration device and the division of all frost severity scores calculated using a frost severity evaluation function. These ranges categorize frost levels into four levels: no frost, light frost, moderate frost, and heavy frost, allowing for a more accurate estimation of the fan power based on sampling data from these four different levels. In other embodiments, the frost severity levels can be further subdivided to improve the accuracy of fan power calculation. However, this increases the number of samples and the computational load. Therefore, those skilled in the art can balance these factors according to specific circumstances to achieve the best results.

[0037] The refrigeration equipment referred to in this invention includes, but is not limited to, the listed air conditioners, refrigerators, or freezers. Refrigeration equipment with evaporator frost formation is suitable for the above-mentioned method of estimating fan power, which can provide a more accurate estimate of fan power.

[0038] Taking an air conditioner as an example, if the air conditioner is operating in cooling mode at the current sampling time, and the heat exchanger corresponding to the fan is the outdoor heat exchanger, then in cooling mode, since there is no frost on the outdoor heat exchanger, the real-time ambient temperature and fan speed are obtained, and the fan's base power is calculated as the real-time power at the current sampling time. When the air conditioner is in heating mode, and the heat exchanger corresponding to the fan is the outdoor heat exchanger, then the real-time power of the fan needs to be compensated according to the frost level of the heat exchanger to obtain a more accurate real-time power.

[0039] Regardless of whether the refrigeration equipment is currently operating as a refrigeration or heating system, the fan's base power needs to be calculated without considering frost compensation. Figure 4 As shown, the present invention obtains real-time ambient temperature and fan speed, and calculates the fan reference power by including the following steps.

[0040] Based on the real-time ambient temperature, the air density ρ is calculated to be 287⋅(T). ℃ +273.15)101325, T ℃ Real-time ambient temperature; Calculate the real-time flow rate Q and real-time pressure ΔP of the fan, where Q = Q0⋅(n / n0) and ΔP = ΔP0⋅(n / n0). 2 Q0 is the rated flow rate of the fan, n0 is the rated speed of the fan, ΔP0 is the rated air pressure of the fan, and n is the real-time speed. Through formula P 机械 =ηρ⋅Q⋅ΔP is used to calculate the base power of the wind turbine, where η is the wind turbine efficiency.

[0041] By using real-time ambient temperature and fan speed, the real-time power of the fan is estimated, thus obtaining a more accurate data foundation for fan power consumption. During sampling, sampling can be performed promptly when changes in real-time ambient temperature exceed a temperature threshold or changes in fan speed exceed a speed threshold, thereby dynamically updating the latest real-time power of the fan and providing a data basis for accurately calculating fan power consumption.

[0042] In addition to the parallel embodiments, the above embodiments can be combined in any way, and all of these are within the scope of protection of this invention.

[0043] This invention also protects corresponding refrigeration equipment, which includes a control module, a fan, etc., wherein the control module uses the fan power consumption estimation method of any of the above embodiments or combinations of embodiments to calculate the fan power consumption. By using the above-described fan power consumption estimation method to calculate the fan power consumption, a more accurate data basis can be provided for the power consumption of the entire refrigeration equipment.

[0044] The technical concept of the present invention will be further explained below with reference to the accompanying drawings, taking heat pump air conditioners as an example.

[0045] The outdoor unit power consumption of a heat pump air conditioner mainly includes the power consumption of the compressor, fan, four-way valve, chassis electric heating belt, compressor electric heating belt, and some low-power components. When estimating the electricity cost of a heat pump air conditioner, it is necessary to calculate the power consumption of each of these components separately to estimate the overall electricity cost of the heat pump system. The power consumption of the fan is highly dependent on the unit's operating status and is relatively difficult to estimate; therefore, the fan power consumption estimation method of this invention can be used.

[0046] like Figure 5 As shown, most heat pump air conditioner units have two modes: cooling mode and heating mode. The calculation method of fan power will be different in different modes. The fan base power in cooling mode is denoted as P1, and the fan base power in heating mode is denoted as P2.

[0047] When the unit is in cooling mode, the fan base power P1 is calculated by detecting the real-time ambient temperature and fan speed, and then the power consumption Ja is calculated by accumulating over time.

[0048] That is, the power P1 at each sampling time is numerically integrated and accumulated using the time step Δt as the unit, and the calculation formula is as follows: .

[0049] When the unit is in heating mode, the fan power is closely related to the condition of the fins. Whether the fins are frosted cannot be determined directly; the frosting status needs to be detected indirectly. Therefore, defrosting-related parameters are continuously monitored and collected. During the prototype testing phase, test data on the fins in a non-frosted state and with different degrees of frosting are collected in the laboratory to obtain the corresponding current defrosting interval T1 and the previous defrosting operation time T2.

[0050] Therefore, in heating mode, two scenarios need to be considered. First, it's necessary to determine whether the unit is defrosting. When the unit is defrosting, the fan stops, and the fan power is the standby power Pb. Integrating Pb with the defrosting time yields the power consumption Jb. When the unit is not defrosting, the fin condition is determined based on the previous defrosting operation time and the current defrosting interval, estimating whether frost has formed on the fins and the degree of frost. Then, combined with the detected real-time ambient temperature and fan speed, the compensation power Pc is determined. If the current defrosting interval is short and the previous defrosting operation time is long, the compensation power Pc will be large, and vice versa. Integrating the compensation power Pc with the previous heat pump operation time yields the compensation power Jc, which is then added to the cumulative power consumption Jd calculated during this period using the fan's base power P2 to obtain the final power consumption Je.

[0051] That is, the power Pb, P2, and Pc at each sampling time are numerically integrated and accumulated using a time step Δt as the unit. The calculation formula is as follows: .

[0052] Regardless of whether the air conditioner is in cooling or heating mode, it is necessary to calculate the fan's reference power. The fan's reference power is related to the following factors, including: Air density (ρ): affected by temperature; Real-time flow rate (Q): proportional to rotational speed; Real-time pressure (ΔP): proportional to the square of the rotational speed; Fan efficiency (η): needs to be determined through performance curves or experiments.

[0053] The relationship between air density ρ and temperature T (unit: K) is: ρ=R⋅TP.

[0054] Where P is atmospheric pressure (standard value is 101325 Pa); R is the gas constant of air, 287 J / (kg*K); T represents the ambient temperature in Kelvin (K). When the sensor detects a temperature T in Celsius... ℃ At that time, the Celsius temperature T needs to be set. ℃ Convert to T=T ℃ +273.15.

[0055] The ratio of fan flow rate to pressure at rotational speed can be calculated using the following formula.

[0056] Assume the rated parameters of the fan under standard conditions are: Rated speed n0; Rated flow rate Q0; Rated pressure ΔP0; Under the current operating conditions, if the detected real-time rotational speed is n, Then the real-time traffic Q = Q0⋅(n / n0).

[0057] Real-time pressure ΔP = ΔP0⋅(n / n0) 2 .

[0058] The reference power of the wind turbine is Pmechanical = ηρ⋅Q⋅ΔP.

[0059] H represents the fan efficiency, which needs to be determined based on performance curves or experimental data.

[0060] In a specific embodiment, real-time data is first acquired, including the ambient temperature T measured by a temperature sensor. ℃ , and the fan speed n measured by the speed sensor.

[0061] Next, based on the ambient temperature, the air density ρ = 287⋅(T) is calculated. ℃ +273.15)101325.

[0062] Then, calculate the real-time flow rate Q and the real-time pressure ΔP using the formulas above.

[0063] Finally, substituting these values ​​into the formula for the wind turbine's reference power, we can obtain the wind turbine's reference power.

[0064] To assess the impact of the degree of frost on the outdoor unit's heat exchanger on the fan power during air conditioning heating mode, the current defrosting interval Δt1 and the previous defrosting operation time Δt2 of the air conditioner can be collected and stored.

[0065] Establish a function to evaluate the degree of frost formation:

[0066] Where S is the frosting degree score, and α and β are the system calibration coefficients given after laboratory testing, used to balance the weights of time interval and defrosting time; The frosting levels are divided according to the range of S values. In this embodiment, a total of four ranges are divided, corresponding to four frosting levels: S<0.5: No obvious frosting; 0.5 ≤ S<1.0: Slight frosting; 1.0 ≤ S < 1.5: Moderate frosting; S ≥ 1.5: Severe frost.

[0067] The fan base power in heating mode is P2, where A1, A2, A3, and A4 are coefficients obtained by fitting laboratory test data. The compensation power Pc corresponding to different frost levels can be calculated using the following formula.

[0068] When S < 0.5, Pc = A1 * P2; When 0.5 ≤ S < 1.0, Pc = A2 * P2; When 1.0 ≤ S < 1.5, Pc = A3 * P2; When S ≥ 1.5, Pc = A4 * P2.

[0069] This invention dynamically samples relevant data according to different operating modes, thereby solving the problem of inaccurate estimation of fan power in refrigeration equipment. Furthermore, by correlating the frosting level of the corresponding heat exchanger with relevant time, this invention allows for detailed quantification of the frosting level through quantitative data, thus solving the problem of the inability to directly detect the frosting state of the heat exchanger. By judging the degree of frosting of the heat exchanger and performing corresponding power compensation, the power estimation becomes more accurate, solving the problem of large integral error in defrosting time. This achieves the technical effect of improving the accuracy of power estimation by dynamically calculating defrosting time and combining it with power compensation.

[0070] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A method for estimating the power consumption of a wind turbine, comprising: The system samples the operating parameters related to the fan power calculation of the refrigeration equipment in units of time steps, calculates the real-time power of the fan, and integrates and accumulates the real-time power at each sampling moment to obtain the power consumption of the fan. The feature is that if the heat exchanger corresponding to the fan is in a non-defrosting state after defrosting and has not entered the next defrosting at the current sampling moment, the system obtains the previous defrosting operation time and the current defrosting interval time. According to the frost level evaluation model established in advance based on the defrosting interval of the refrigeration equipment and the previous defrosting operation time, the system inputs the previous defrosting operation time and the current defrosting interval time into the frost level evaluation model to obtain the current frost level. Simultaneously, real-time ambient temperature and fan speed are acquired to calculate the fan's base power; Based on the frost level and the fan's reference power, the compensation power is calculated, and the sum of the fan's reference power and the compensation power is taken as the fan's real-time power at the current sampling moment.

2. The method for estimating the power consumption of a wind turbine as described in claim 1, characterized in that, If the heat exchanger corresponding to the fan is in defrosting mode at the current sampling time, the standby power of the fan will be used as the real-time power at the current sampling time.

3. The method for estimating the power consumption of a wind turbine as described in claim 1, characterized in that, The frost level assessment model based on the defrost interval and defrost operation time of refrigeration equipment includes: Divide the defrosting process into multiple levels and define a range of frosting severity scores for each level. Establish a function to evaluate the degree of frost formation. Where S is the frost severity score, α and β are coefficients, Δt1 is the current defrosting interval, Δt2 is the previous defrosting run time, and the coefficients of the frost severity evaluation function are obtained based on the frost severity scores corresponding to the historical frost severity levels, as well as the corresponding previous defrosting run time and the current defrosting interval. A frosting level assessment model is established based on the frosting degree assessment function and the range of frosting degree score values ​​for defrosting level.

4. The method for estimating the power consumption of a wind turbine as described in claim 3, characterized in that, The compensation power is obtained by multiplying the wind turbine's base power by the compensation coefficient corresponding to the frost level.

5. The method for estimating the power consumption of a wind turbine as described in claim 3, characterized in that, The range of the frost severity rating values ​​includes S < 0.5, 0.5 ≤ S < 1.0, 1.0 ≤ S < 1.5, and S ≥ 1.

5.

6. The method for estimating the power consumption of a wind turbine as described in any one of claims 1 to 5, characterized in that, The refrigeration equipment includes air conditioners, refrigerators, or freezers.

7. The method for estimating the power consumption of a wind turbine as described in any one of claims 1 to 5, characterized in that, If the refrigeration equipment is an air conditioner, and the current sampling time is in refrigeration mode, and the heat exchanger corresponding to the fan is an outdoor heat exchanger, the real-time ambient temperature and fan speed are obtained, and the fan reference power is calculated as the real-time power at the current sampling time.

8. The method for estimating the power consumption of a wind turbine as described in claim 7, characterized in that, The steps involved in obtaining real-time ambient temperature and fan speed, and calculating the fan's base power, are as follows: Based on the real-time ambient temperature, the air density ρ is calculated to be 287⋅(T). ℃ +273.15)101325, T ℃ Real-time ambient temperature; Calculate the real-time flow rate Q and real-time pressure ΔP of the fan, where Q = Q0⋅(n / n0), ΔP = ΔP0⋅(n / n0). 2 Q0 is the rated flow rate of the fan, n0 is the rated speed of the fan, ΔP0 is the rated air pressure of the fan, and n is the real-time speed. Through formula P 机械 =ηρ⋅Q⋅ΔP is used to calculate the base power of the wind turbine, where η is the wind turbine efficiency.

9. A refrigeration device, comprising a control module and a fan, characterized in that, The control module calculates the power consumption of the wind turbine using the power consumption estimation method described in any one of claims 1 to 8.

Images