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1.西安建筑科技大学信息与控制工程学院 西安 710055
2. 西安建筑科技大学建筑学院 西安 710055
3. 西安建筑科技大学建筑设备科学与工程学院 西安 710055
李红莲,女,教授,西安建筑科技大学大学信息与控制工程学院,18392494291,E-mail:lihonglian_lhl@163.com研究方向:建筑能耗模拟气象年。Li Honglian, Female, Professor, School of Information and Control Engineering, Xi'an University of Architecture and Technology, 18392494291,E-mail:lihonglian_lhl@163.com. Research fields: Building Energy Consumption Simulation Meteorological Year.
收稿:2025-10-16,
修回:2025-10-28,
录用:2025-12-15,
网络首发:2026-04-16,
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李红莲,王淼,杨怡等.不同运行模式下间接蒸发冷却空调设计日生成方法[J].制冷学报,
Li Honglian,Wang Miao,Yang Yi,et al.Generation Method of Design Days for Indirect Evaporative Cooling Air Conditioning under Different Operating Modes[J].Journal of Refrigeration,
李红莲,王淼,杨怡等.不同运行模式下间接蒸发冷却空调设计日生成方法[J].制冷学报, DOI:10.12465/issn.0253-4339.20251016002.
Li Honglian,Wang Miao,Yang Yi,et al.Generation Method of Design Days for Indirect Evaporative Cooling Air Conditioning under Different Operating Modes[J].Journal of Refrigeration, DOI:10.12465/issn.0253-4339.20251016002.
现行蒸发冷却空调系统采用传统暖通空调设计参数作为设计条件,通过选取极端气象条件作为设计日参数,忽略了蒸发冷却空调运行模式的多样性与气象要素的耦合性。本研究以数据中心为研究对象,基于间接蒸发冷却空调干、湿、混合3种模式的运行特征,提出了一种新的设计日生成方法。首先利用TRNSYS建立数据中心间接蒸发冷却空调系统,以送风温度作为空调运行模式的判定条件,提取反映3种切换模式所对应的室外逐时干湿球温度的气候特征,并结合共同主成分分析和基于形态特征的加权动态时间规整方法,从历史气象数据中识别与该特征序列最相似的气象日,从而生成不同运行模式下的设计日参数。结果表明:相较于原设计参数,新方法生成的设计日参数在3种运行模式下的峰值冷负荷与实际设计负荷的相对偏差分别下降0.15%、0.03%、0.41%。本研究提出的设计日参数能够有效避免原设计参数存在的设计冗余问题,更好地满足工程设计的准确性要求。
Current evaporative cooling air conditioning systems adopt traditional HVAC design parameters as their design conditions, using extreme weather conditions as design day parameters, which overlooks the coupling between the diversity of evaporative cooling operation modes and meteorological factors. This study considers data centers as the research object and proposes a new method for generating design days based on the operational characteristics of indirect evaporative cooling air-conditioning systems in dry, wet, and mixed modes. First, a TRNSYS model was established for an indirect evaporative cooling air-conditioning system in data centers, with the supply air temperature serving as the criterion for determining the operation mode. The climatic features corresponding to the hourly outdoor dry- and wet-bulb temperatures under the three switching modes were extracted. By combining conventional principal component analysis and the weighted dynamic time warping method, the meteorological days most similar to these characteristic sequences were identified from historical weather data, thereby generating design-day parameters for different operation modes. The results show that, compared with the original design parameters, the peak cooling loads generated by the new method under the three operating modes exhibit relative deviations from the actual design loads of 0.15%, 0.03%, and 0.41%, respectively. The design-day parameters proposed in this study effectively mitigated the design redundancy issues associated with the original parameters, thereby better satisfying the accuracy requirements of the engineering design.
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