Uncertainty Evaluation of Dynamic Energy Efficiency Testing for Room Air Conditioner

Wang Longyan; Cao Haomin; Ding Guoliang; Ding Yi; Cheng Jianhong

doi:10.12465/issn.0253-4339.20251027002

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Uncertainty Evaluation of Dynamic Energy Efficiency Testing for Room Air Conditioner

更新时间：2026-04-24

- Uncertainty Evaluation of Dynamic Energy Efficiency Testing for Room Air Conditioner
- Journal of Refrigeration Pages: 1-10(2026)
- 作者机构：
  
  1.上海交通大学机械与动力工程学院上海 200240
  2. 上海交通大学自动化与感知学院上海 200240
  3. 中国标准化研究院北京 100191
- 作者简介：
- 基金信息：
- DOI：10.12465/issn.0253-4339.20251027002
  CLC： TB663;TM925.1
- Received：27 October 2025，
  
  Revised：2025-11-20，
  
  Accepted：13 January 2026，
  
  Online First：24 April 2026，
- 稿件说明：
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王龙炎,曹昊敏,丁国良等.房间空调器动态能效测试的不确定度分析[J].制冷学报,

Wang Longyan,Cao Haomin,Ding Guoliang,et al.Uncertainty Evaluation of Dynamic Energy Efficiency Testing for Room Air Conditioner[J].Journal of Refrigeration,
王龙炎,曹昊敏,丁国良等.房间空调器动态能效测试的不确定度分析[J].制冷学报, DOI：10.12465/issn.0253-4339.20251027002.

Wang Longyan,Cao Haomin,Ding Guoliang,et al.Uncertainty Evaluation of Dynamic Energy Efficiency Testing for Room Air Conditioner[J].Journal of Refrigeration, DOI：10.12465/issn.0253-4339.20251027002.

摘要

评估房间空调器动态能效测试的可靠性和提高测试精度，需要对动态测试的不确定度进行评定。本文将动态测试不确定度的来源分为系统误差、随机误差和时间延迟误差，其中系统误差和随机误差造成的不确定度采用GUM法和MCM法进行评估，并按照GB 7725—2022《房间空气调节器》中的稳态测量不确定度规定进行设置；时间延迟误差采用一阶模型进行建模分析，并按照普遍的传感器响应时间进行设置。以额定制冷量3.5 kW空调器为例计算不确定度，结果表明：系统误差和随机误差造成的相对拓展不确定度为3.8%，时间延迟造成的不确定度为1.0%，动态能效值的整体不确定度为3.9%；拓展至其他能力值的空调器，其动态能效测试的不确定度均应在3.2%~5.4%。不确定度贡献分析结果表明，空调器动态测试的不确定度取决于系统误差对能力测量造成的不确定度，室内侧进出风湿球温度的测量精度对能力测量不确定度贡献最为显著。

Abstract

To evaluate the reliability and increase the accuracy of dynamic energy efficiency testing of room air conditioners， uncertainty quantification of the dynamic test is essential. In this study， we categorize the uncertainty sources of dynamic testing into three types： systematic， random， and time-delay errors. The uncertainty resulting from systematic and random errors was evaluated using the GUM and MCM methods， with the error limits set based on the steady-state measurement uncertainty requirements specified in GB 7725—2022 Room Air Conditioners. The time-delay error was modeled and analyzed using a first-order model， with the sensor response time set based on common values. Using an air conditioner with a rated cooling capacity of 3.5 kW as an example， the uncertainty calculation results showed that the relative expanded uncertainty caused by systematic and random errors was 3.8%， and the uncertainty due to the time delay was 1.0%， leading to a total uncertainty of 3.9% in the dynamic energy efficiency. Extending to other air conditioners with various capacities， the total uncertainty should be in the range of 3.2% to 5.4%. Contribution analysis revealed that the uncertainty in capacity measurement caused by systematic error is the primary factor affecting the uncertainty in dynamic energy efficiency testing. Concerning the capacity measurement， the accuracy of the inlet and outlet wet-bulb temperatures of the indoor side makes the most significant contribution.

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