Air conditioner energy efficiency rating classification method and test method

Abstract

This invention discloses a method and testing method for classifying and testing the energy efficiency of air conditioners, comprising: Step 1: determining the main indicators for evaluating air conditioner performance, including energy efficiency ratio (EER), cooling energy efficiency ratio (RER), seasonal energy efficiency coefficient (SEC), and actual power consumption; Step 2: setting standard test conditions, including indoor and outdoor temperature, humidity, and air conditioner operating time; Step 3: testing the air conditioner under the standard test conditions, collecting performance data, including EER in cooling and heating modes, and power consumption data during cooling / heating operation, and calculating the SEC using the collected performance data; Step 4: combining the EER, RER, and SEC indicators to formulate a comprehensive score; Step 5: formulating a classification standard based on the comprehensive score. This invention has significant advantages in comprehensive performance evaluation, adaptability, and user-friendliness, and can better guide consumers in selecting high-efficiency air conditioning products.

Description

Technical Field

[0001] This invention relates to the field of energy efficiency rating technology, and in particular to a method and testing method for classifying and testing the energy efficiency rating of air conditioners. Background Technology

[0002] Air conditioner energy efficiency ratings are a standard system used to measure the energy efficiency level of air conditioners. They primarily reflect the energy efficiency performance of air conditioners during cooling and heating operations. This standard system is usually formulated by relevant national or regional agencies and uses a combination of letters and plus signs to represent different levels, with higher levels indicating better energy efficiency. However, existing energy efficiency rating assessment methods are insufficient for evaluating air conditioner performance. For example, they mainly rely on a single performance indicator, ignoring the comprehensive performance of air conditioners under different seasons and load conditions; some assessment methods do not consider seasonality coefficients, while these two indicators are crucial for reflecting the performance of air conditioners throughout the year. Therefore, existing assessment methods lack adaptability and cannot guide consumers in choosing high-efficiency air conditioning products. Summary of the Invention

[0003] To address the above problems, this invention provides a method for classifying the energy efficiency rating of air conditioners.

[0004] To achieve the above objectives, the technical solution adopted by the present invention is as follows:

[0005] A method for classifying the energy efficiency rating of air conditioners includes the following steps:

[0006] Step 1: Determine the key performance indicators for evaluating air conditioner performance, including energy efficiency ratio, cooling energy efficiency ratio, seasonality coefficient, and actual power consumption;

[0007] Step 2: Set standard test conditions, including indoor and outdoor temperature and humidity, and air conditioning running time;

[0008] Step 3: Test the air conditioner under standard test conditions and collect performance data, including the energy efficiency ratio in cooling and heating modes, and the power consumption data during cooling / heating operation. Use the collected performance data to calculate the seasonal energy efficiency coefficient.

[0009] Step 4: Combine energy efficiency ratio, cooling energy efficiency ratio, and seasonal energy efficiency coefficient to formulate a comprehensive score;

[0010] Step 5: Based on the comprehensive score, formulate the grading criteria.

[0011] Further: Step 1 includes:

[0012] The formula for energy efficiency ratio is:

[0013]

[0014] The formula for cooling energy efficiency ratio is:

[0015]

[0016] The formula for the seasonal energy coefficient is:

[0017]

[0018]

[0019] Where i represents a subset under different working conditions, and runtime i represents the runtime under that working condition.

[0020] Furthermore: Step 2 includes:

[0021] Define indoor and outdoor environmental parameters under standard test conditions to ensure the universality of test results, including:

[0022] Indoor temperature (T) 室内 ), outdoor temperature (T) 室外 ), indoor relative humidity (RH) 室内 ) and outdoor relative humidity (RH) 室外 );

[0023] Set standard testing times, including: cooling season and heating season;

[0024] To determine the runtime distribution under different operating conditions and account for the impact of different usage scenarios, a runtime distribution function is defined.

[0025] Runtime i =f(T) 室内 T 室外 RH 室内 RH 室外 )

[0026] Considering test equipment calibration, test process standardization, and data acquisition consistency, to ensure the consistency of test results, the above parameters and distribution function are incorporated into the following formula for practical application in testing:

[0027] Standard test conditions = {T 室内 T 室外 RH 室内 RH 室外 Running time i}

[0028] Furthermore: Step 3 includes:

[0029] Select testing equipment that meets international standards to ensure its accuracy and reliability;

[0030] Set test parameters according to the established standard test conditions, including indoor and outdoor temperature, humidity, and running time;

[0031] During the cooling season, the air conditioner was tested for cooling capacity and the cooling capacity (BTU / h) and power consumption (watts) were recorded.

[0032] During the heating season, the air conditioner was tested for heating capacity, and the heating capacity (watts) and power consumption (watts) were recorded.

[0033] Record the actual power consumption data of the air conditioner under different working modes, including power consumption during cooling and heating;

[0034] The seasonal energy coefficient is calculated based on the collected data.

[0035] Furthermore, step 4 includes:

[0036] Determine the weight of each performance metric to reflect its relative importance in the overall performance, assuming the weights are w1, w2, w3, and w4 respectively;

[0037] Calculate the overall score using the following formula:

[0038] Overall score = w1×EER + w2×COP + w3×SEER + w4×SCOP.

[0039] Furthermore: Step 5 includes:

[0040] Determine the score range for each level to ensure a clear difference between levels;

[0041] Assign a symbol to each level to make it easy to identify;

[0042] Write standard documents that describe the scoring range and corresponding symbols for each level;

[0043] The grading process is formalized to ensure consistency in assessment.

[0044] The technological advancements achieved by this invention compared to existing technologies are as follows:

[0045] Multi-dimensional evaluation: This invention comprehensively considers multiple performance indicators such as energy efficiency ratio (EER), cooling energy efficiency ratio (COP), seasonal energy efficiency coefficient (SEER, SCOP) and actual power consumption, so as to more comprehensively and objectively evaluate the performance of air conditioners under different working modes and conditions.

[0046] Adjustable weights: By introducing a weight allocation mechanism, the relative importance of each performance indicator can be adjusted according to market demand, environmental changes, and user preferences, increasing flexibility and making the method more adaptable to different backgrounds and needs.

[0047] Formulaic grading: The grading process is formalized, making the assessment process more transparent and consistent. This formulaic approach can reduce the intervention of subjective factors and improve the objectivity of the rating.

[0048] Seasonal energy efficiency factor consideration: The introduction of seasonal energy efficiency factors (SEER and SCOP) takes into account the performance of air conditioners under different seasons and usage conditions, and more accurately reflects the actual usage situation.

[0049] User-friendly: By establishing a standardized rating system, users can more easily understand the performance ratings of air conditioning products, helping them make more informed purchasing decisions.

[0050] High adaptability: Because this invention takes into account multiple factors and weight adjustment mechanisms, it is more adaptable and can be flexibly adjusted according to future technological advancements, environmental policy adjustments, and other factors.

[0051] Overall, this invention has significant advantages in terms of comprehensive performance evaluation, adaptability, and user-friendliness. It can better guide consumers in choosing high-efficiency air conditioning products, and at the same time help encourage manufacturers to design and produce more environmentally friendly and efficient products. Attached Figure Description

[0052] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used together with the embodiments of the invention to explain the invention and do not constitute a limitation thereof.

[0053] In the attached diagram:

[0054] Figure 1 This is a flowchart of the present invention. Detailed Implementation

[0055] The following specific embodiments can be combined with each other, and the same or similar concepts or processes may not be described again in some embodiments. The embodiments of the present invention will now be described with reference to the accompanying drawings.

[0056] like Figure 1 As shown, this invention discloses a method for classifying the energy efficiency rating of air conditioners, comprising the following steps:

[0057] Step 1: Define performance metrics

[0058] Identify the key metrics used to evaluate air conditioner performance, including Energy Efficiency Ratio (EER), Cooling Energy Efficiency Ratio (COP), Seasonal Energy Efficiency Ratio (SEER, SCOP), and Actual Power Consumption.

[0059] Step 2: Establish standard test conditions

[0060] Establish standard test conditions, including indoor and outdoor temperature and humidity, as well as air conditioning operating time. Ensure that the test conditions reflect the real-world usage environment and maintain consistency.

[0061] Step 3: Collect performance data

[0062] The air conditioner was tested under standard testing conditions, and performance data was collected. This included data such as the energy efficiency ratio in cooling and heating modes, and power consumption during cooling / heating operation.

[0063] Step 4: Calculate the seasonality coefficient

[0064] Using the collected performance data, seasonal energy coefficients (SEER and SCOP) are calculated.

[0065] Step 5: Overall Score

[0066] A comprehensive score is developed for air conditioners by combining indicators such as EER, COP, SEER, and SCOP. Weighting can be used to reflect the importance of different performance indicators.

[0067] Step 6: Determine the level

[0068] Based on the comprehensive score, a grading standard is established. For example, air conditioners can be divided into different grades according to the score range, such as A+++, A++, A+, A, B, C, D, and E grades.

[0069] Through the above steps, this invention establishes a method for classifying air conditioner energy efficiency levels based on multiple performance indicators. This method can more comprehensively evaluate the performance of air conditioners, making it easier for consumers to understand and choose high-efficiency products. At the same time, it ensures the consistency of test conditions and improves the reliability of evaluation results.

[0070] Specifically, step 1 includes:

[0071] In this step, the key metrics used to evaluate the performance of the air conditioner are defined in detail. These metrics will be used in subsequent steps to calculate and evaluate the energy efficiency rating of the air conditioner.

[0072] 1.1 Energy Efficiency Ratio (EER):

[0073] The energy efficiency ratio (EER) represents the ratio of unit energy consumption to cooling capacity of an air conditioner in cooling mode. The formula is:

[0074]

[0075] 1.2 Cooling Energy Efficiency Ratio (COP):

[0076] The cooling energy efficiency ratio (EER) represents the ratio of unit electrical energy consumption to heating capacity of an air conditioner in heating mode. Its formula is:

[0077]

[0078] 1.3 Seasonal Energy Factors (SEER and SCOP):

[0079] The seasonal energy efficiency factor takes into account the average energy efficiency ratio under different seasons and load conditions. Here, a weighted average is used to calculate SEER and SCOP.

[0080]

[0081]

[0082] Where i represents a subset under different working conditions, and runtime i represents the runtime under that working condition.

[0083] 1.4 Actual power consumption:

[0084] Actual power consumption refers to the actual electrical energy consumed by the air conditioner during operation. This indicator will be used in subsequent steps to more comprehensively evaluate the performance of the air conditioner.

[0085] By defining these performance metrics, a foundation is provided for calculating and evaluating energy efficiency levels in subsequent steps.

[0086] Specifically, step 2 includes:

[0087] This step will detail how to develop standard test conditions to ensure that the test environment reflects real-world usage and is consistent.

[0088] 2.1 Determine indoor and outdoor environmental parameters

[0089] Define indoor and outdoor environmental parameters under standard test conditions to ensure the universality of test results, including: indoor temperature (T). 室内 ), outdoor temperature (T) 室外 ), indoor relative humidity (RH) 室内 ) and outdoor relative humidity (RH) 室外 );

[0090] 2.2 Determine the standard test time

[0091] Setting standard testing times typically takes into account variations over an entire season. This helps in calculating the seasonality coefficient. Standard testing times include: the cooling season and the heating season.

[0092] 2.3 Develop a schedule for running time distribution

[0093] Determine the runtime distribution under different operating conditions to account for the impact of varying usage patterns. For example, in a household that uses air conditioning daily, daytime and nighttime usage patterns may differ; this can be achieved by defining a runtime distribution function.

[0094] Runtime i =f(T) 室内 T 室外 RH 室内 RH 室外 )

[0095] 2.4 Ensure consistency

[0096] To ensure the consistency of test results, the following factors need to be considered: test equipment calibration, test process standardization, and data acquisition consistency.

[0097] 2.5 Standardized Test Conditions

[0098] Incorporate the above parameters and distribution function into the following formula for practical application in testing:

[0099] Standard test conditions = {T 室内 T 室外 RH 室内 RH 室外 Running time i}

[0100] The above steps ensure the scientific validity and consistency of the standard testing conditions, providing a reliable foundation for subsequent performance testing.

[0101] Specifically, step 3 includes:

[0102] This step will detail how to test the air conditioner under standard test conditions and collect necessary performance data, including energy efficiency ratio (EER), cooling energy efficiency ratio (COP), and power consumption during cooling and heating operations.

[0103] 3.1 Setting up the test equipment

[0104] Set up testing equipment: Select testing equipment that conforms to international standards to ensure its accuracy and reliability.

[0105] 3.2 Determine test parameters

[0106] Set test parameters: Based on the standard test conditions established in step 2, set the test parameters, including indoor and outdoor temperature, humidity, and running time.

[0107] 3.3 Conduct cooling and heating tests.

[0108] Cooling test: Under the conditions of the cooling season, conduct a cooling test on the air conditioner according to the test parameters in step 2, and record the cooling capacity (BTU / h) and power consumption (watts).

[0109] 3.4 Collect actual power consumption data

[0110] Actual power consumption data: Record the actual power consumption data of the air conditioner under different operating modes, including power consumption during cooling and heating.

[0111] 3.5 Overall Performance Data

[0112] Comprehensive performance data: Based on the collected data, calculate the seasonal energy coefficients (SEER and SCOP), as well as other key performance indicators.

[0113] These steps enable comprehensive performance testing of the air conditioner under standard testing conditions, obtaining key performance data for both cooling and heating modes. This data will be used in subsequent steps to calculate an overall score and determine an energy efficiency rating.

[0114] Seasonal energy efficiency coefficients (SEER and SCOP) are calculated using the collected performance data. These coefficients take into account the average energy efficiency ratio under different seasons and load conditions.

[0115] 3.6 Seasonal Energy Efficiency Ratio (SEER)

[0116] When calculating SEER, the energy efficiency ratio (EER) in cooling mode and the corresponding running time are taken into account.

[0117] 3.7 Seasonal Energy Index (SCOP)

[0118] When calculating SCOP, the coefficient of performance (COP) in heating mode and the corresponding running time are taken into account.

[0119] These formulas comprehensively consider the average energy efficiency ratio under different seasons and load conditions, thus obtaining the seasonal energy efficiency coefficient. These coefficients are key indicators for evaluating the overall performance of air conditioning systems and help to determine the corresponding energy efficiency rating.

[0120] Specifically, step 4 includes:

[0121] In this step, a weighted approach will be used to comprehensively consider indicators such as EER, COP, SEER, and SCOP to develop a comprehensive score for the air conditioner. The weighted approach can reflect the importance of different performance indicators.

[0122] 5.1 Determine the weights

[0123] First, determine the weight of each performance indicator to reflect its relative importance in the overall performance. This can be done through professional advice obtained via market research, environmental impact assessments, etc., assuming the weights are w1, w2, w3, and w4 respectively.

[0124] Calculate the overall score using the following formula:

[0125] Overall score = w1×EER + w2×COP + w3×SEER + w4×SCOP

[0126] This formula takes into account the weights of different performance indicators and obtains a comprehensive performance score through weighted summation. Since each weight reflects the relative importance of the corresponding indicator, the comprehensive score can more comprehensively reflect the performance level of the air conditioner.

[0127] This step allows for the creation of a unified comprehensive rating for different air conditioning systems, enabling consumers to more intuitively understand product performance when making their selections.

[0128] Specifically, step 5 includes:

[0129] In this step, a grading standard will be established based on the comprehensive score, making it easier for consumers to understand the energy efficiency level of air conditioners. Air conditioners will be divided into different grades according to the score range.

[0130] 6.1 Define the scope of the levels

[0131] Determine the score range for each level, ensuring a clear gap between levels. This can be achieved through market research, industry standards, or recommendations from environmental organizations.

[0132] For example:

[0133] A+++: Overall score ≥90

[0134] A++: 80 ≤ Overall score < 90

[0135] A+: 70 ≤ Overall score < 80

[0136] A: 60 ≤ Overall score < 70

[0137] B: 50 ≤ Overall Score < 60

[0138] C: 40≤Overall Score<50

[0139] D: 30≤Overall Score<40

[0140] E: Overall score <30

[0141] 6.2 Establish grade symbols

[0142] Assign symbols to each grade to make it easy to identify; combinations of letters and symbols can be used, such as A++, A++, A+, etc.

[0143] 6.3 Compile grade classification standard documents

[0144] Write standard documentation that details the scoring range and corresponding symbols for each level, ensuring the documentation is clear, concise, and easy to understand for consumers.

[0145] 6.4 Formulaic Level Classification

[0146] Formulate the grading process to ensure consistency in assessments, for example:

[0147]

[0148] Through the above steps, a clear grading standard has been established, allowing consumers to intuitively understand the energy efficiency ratings of different air conditioning products.

[0149] Finally, it should be noted that the above descriptions are merely preferred embodiments of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments or make equivalent substitutions for some of the technical features. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the claims of the present invention.

Claims

1. An air conditioner energy efficiency rating classification method characterized by, Includes the following steps: Step 1: Determine the key performance indicators for evaluating air conditioner performance, including energy efficiency ratio, cooling energy efficiency ratio, seasonality coefficient, and actual power consumption, including: The formula for energy efficiency ratio is: The formula for cooling energy efficiency ratio is: The formula for the seasonal energy coefficient is: Where i represents a subset under different working conditions, and runtime i represents the runtime under that working condition; Step 2: Set standard test conditions, including indoor and outdoor temperature and humidity, and air conditioning operating time, including: Define indoor and outdoor environmental parameters under standard test conditions to ensure the universality of test results, including: Indoor temperature T 室内 , outdoor temperature T 室外 , indoor relative humidity RH 室内 , and outdoor relative humidity RH 室外 ; Set standard testing times, including: cooling season and heating season; To determine the runtime distribution under different operating conditions and account for the impact of different usage scenarios, a runtime distribution function is defined. Run time i = f(T 室内 , T 室外 , RH 室内 , RH 室外 ) Considerations include testing equipment calibration, testing process standardization, and data acquisition consistency to ensure consistent test results. Incorporate the above parameters and distribution function into the following formula for practical application in testing: Standard test conditions = {T 室内 T 室外 RH 室内 RH 室外 Running time i } Step 3: Test the air conditioner under standard test conditions and collect performance data, including the energy efficiency ratio in cooling and heating modes, and the power consumption data during cooling / heating operation. Use the collected performance data to calculate the seasonal energy efficiency coefficient. Step 4: Combine energy efficiency ratio, cooling energy efficiency ratio, and seasonal energy efficiency coefficient to formulate a comprehensive score, including: Determine the weight of each performance metric to reflect its relative importance in the overall performance, assuming the weights are w1, w2, w3, and w4 respectively; Calculate the overall score using the following formula: Overall score = w1×EER + w2×COP + w3×SEER + w4×SCOP Step 5: Based on the comprehensive score, formulate the grading criteria.

2. The method of claim 1, wherein, Step 3 includes: Select testing equipment that meets international standards to ensure its accuracy and reliability; Set test parameters according to the established standard test conditions, including indoor and outdoor temperature, humidity, and running time; During the cooling season, a cooling test was conducted on the air conditioner, and the cooling capacity and power consumption were recorded. During the heating season, the air conditioner was tested for heating capacity, and the heating capacity and power consumption were recorded. Record the actual power consumption data of the air conditioner under different working modes, including power consumption during cooling and heating; The seasonal energy coefficient is calculated based on the collected data.

3. The method of claim 2, wherein, Step 5 includes: Determine the score range for each level to ensure a clear difference between levels; Assign a symbol to each level to make it easy to identify; Write standard documents that describe the scoring range and corresponding symbols for each level; The grading process is formalized to ensure consistency in assessment.

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