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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
丁国良,男,教授,博士生导师,上海交通大学机械与动力工程学院,021-34206378, E-mail: glding@sjtu.edu.cn。研究方向:制冷空调装置的仿真、优化与新工质应用。Ding Guoliang, male, professor, Ph. D. supervisor, School of Mechanical Engineering, Shanghai Jiao Tong University, 86-21-34206378, E-mail: glding@sjtu.edu.cn. Research fields: simulation and optimization for refrigeration and air conditioning appliances as well as utilization of new refrigerants.
收稿:2025-07-18,
修回:2025-10-15,
录用:2025-10-17,
网络出版:2026-01-19,
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王龙炎,曹昊敏,丁国良等.房间空调器动态能效标准进展与对比分析[J].制冷学报,
Wang Longyan,Cao Haomin,Ding Guoliang,et al.Recent Progress and Comparative Analysis of Dynamic Energy Efficiency Standards for Room Air Conditioners[J].Journal of Refrigeration,
王龙炎,曹昊敏,丁国良等.房间空调器动态能效标准进展与对比分析[J].制冷学报, DOI:10.12465/issn.0253-4339.20250718001. CSTR: XXXXX.XX.XXX.20250718001.
Wang Longyan,Cao Haomin,Ding Guoliang,et al.Recent Progress and Comparative Analysis of Dynamic Energy Efficiency Standards for Room Air Conditioners[J].Journal of Refrigeration, DOI:10.12465/issn.0253-4339.20250718001. CSTR: XXXXX.XX.XXX.20250718001.
基于负荷的动态能效测试已成为房间空调器行业公认的下一代性能评价方法,相关标准的制定包括动态能效测试和动态能效计算2部分内容,但现有研究在上述2部分的具体实施上存在多种方法。本文通过对国内外相关研究进行总结和对比,为中国的空调器动态能效标准制订提供技术建议。对于动态能效测试方法,推荐采用虚拟建筑负荷法测试方案,测试工况按照额定负荷、中间负荷和最小负荷3个负荷率进行设置,室内温度按照热容和湿容的单节点模型更新;对于动态能效计算方法,全年能效系数可按照负荷插值和能效插值的方法进行计算,负荷模型选择线性简化模型,运行时间模型按照全年发生时间统计。在国内的动态能效标准制订中,热容、湿容和发生时间等关键参数需要根据国内情况进行确定。动态能效标准未来工作的重点在于提升测试的可重复性,同时包括利用大数据分析确定室外温度发生时间,针对我国气候区域进行分区,以及引入碳排放评价指标。
Load-based dynamic energy efficiency testing is recognized as a next-generation performance evaluation method in the room air conditioner industry. The related standards contain two parts: dynamic energy efficiency testing and dynamic energy efficiency calculation. However, various approaches exist for implementing these in current research. This study aimed to provide technical suggestions for the formulation of dynamic energy efficiency standards for air conditioners in China by summarizing and comparing the results of relevant domestic and international research. The virtual building load method was adopted for the dynamic energy efficiency testing method, and three load rates were used: the rated load, an intermediate load, and the minimum load. The indoor temperature was updated using a single-node model of the heat and moisture capacitance values. To determine the dynamic energy efficiency, the dynamic annual performance factor could be calculated by interpolating the load and energy efficiency. A simplified linear model was used for the load, and the model of the operating time was based on the time statistics for annual operation. Some key parameters (e.g., the heat capacitance, moisture capacitance, and outdoor temperature bin distribution) still need to be determined based on domestic conditions. Future work could focus on improving the repeatability and could include the use of big data analysis to determine the outdoor temperature bin distribution, zoning based on climate regions, and the introduction of carbon emission evaluation metrics.
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