我国南海主要岛礁地区冷负荷温度修正值的计算
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摘要
指出了冷负荷温度修正值查询用表的不完善性,探讨了冷负荷温度的理论算法及其影响因素,应用该算法对冷负荷温度修正值进行了补充完善。结果表明:目前冷负荷温度修正值对于我国南部低纬度多风雨地区缺失;冷负荷温度算法经验证可行,除水平方向外,不同朝向冷负荷温度计算值与给定值各时刻最大差值均不超过1℃;冷负荷温度受建筑所在地经度、纬度、大气透明度、外壁面换热系数及吸收系数、板壁材料热物性及排列顺序等多因素影响;以永暑礁Ⅱ型墙体、Ⅳ型屋面为例,取外壁面换热系数为39.0 W/(m~2·K),由修正值补充结果得到永暑礁各朝向不同时刻冷负荷温度均低于北京,且平均差值可达2.5℃。
Points out the imperfection of cooling load temperature correction value query table. Discusses the theoretical algorithm of cooling load temperature and its influencing factors. Applies the algorithm to supplement the cooling load temperature correction value. The results indicate that the current cooling load temperature correction values are lacking for low latitude and abundant wind and rain regions in the south of China. The cooling load temperature algorithm is verified to be feasible, and the maximum difference of each orientation between the calculated values and the given values of cooling load temperature is no more than 1 ℃ except for horizontal direction. The cooling load temperature is affected by multiple factors such as longitude, latitude, atmospheric transparency, heat transfer coefficient and absorptivity of exterior building surface, and thermal properties and display order of building materials. Taking a building with II-type wall, IV-type roof and 39.0 W/(m~2·K) heat transfer coefficient in Yongshu Reef as an example, finds that the cooling load temperature of Yongshu Reef is lower than that of Beijing at different times, and the average difference is 2.5 ℃.
Points out the imperfection of cooling load temperature correction value query table. Discusses the theoretical algorithm of cooling load temperature and its influencing factors. Applies the algorithm to supplement the cooling load temperature correction value. The results indicate that the current cooling load temperature correction values are lacking for low latitude and abundant wind and rain regions in the south of China. The cooling load temperature algorithm is verified to be feasible, and the maximum difference of each orientation between the calculated values and the given values of cooling load temperature is no more than 1 ℃ except for horizontal direction. The cooling load temperature is affected by multiple factors such as longitude, latitude, atmospheric transparency, heat transfer coefficient and absorptivity of exterior building surface, and thermal properties and display order of building materials. Taking a building with II-type wall, IV-type roof and 39.0 W/(m~2·K) heat transfer coefficient in Yongshu Reef as an example, finds that the cooling load temperature of Yongshu Reef is lower than that of Beijing at different times, and the average difference is 2.5 ℃.
引文
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[2] 赵荣义. 空气调节[M]. 4版. 北京:中国建筑工业出版社, 2009:46- 50
[3] 中国建筑科学研究院空气调节研究所. 空调技术:空调冷负荷计算方法专刊[M]. 北京:中国建筑工业出版社, 1984:40- 75
[4] 方永林. 基于有限元法的冷负荷温度确定研究[J]. 墙材革新与建筑节能, 2011, 39 (9):48- 50
[5] 方永林. 墙体逐时冷负荷温度的确定[J]. 砖瓦世界, 2011, 28(5):31- 33
[6] 毕海洋, 李永安, 李轶, 等. 新型节能墙体冷负荷温度的求解[J]. 暖通空调, 2004, 34(8):58- 61
[7] 李永安, 李继志, 刘学来, 等. 新型节能墙体冷负荷计算温度的研究[J]. 新型建筑材料, 2004, 31(1):56- 58
[8] 王雪锦, 潘志信, 李德英. 新型节能墙体传热研究[J]. 新型建筑材料, 2006, 33(10):24- 26
[9] 彦启森, 赵庆珠. 建筑热过程[M]. 北京:中国建筑工业出版社, 1986:6- 59
[10] 单寄平. 空调负荷实用计算法[M]. 北京:中国建筑工业出版社, 1989:3- 19
[11] ASHRAE. ASHRAE handbook—HVAC systems and equipment[M]. Atlanta:ASHRAE Inc, 2000: 3.1- 6.2
[12] 陆耀庆. 实用供热空调设计手册[M]. 2版. 北京:中国建筑工业出版社, 2008:235- 239
[13] 中国建筑科学研究院. 建筑节能气象参数标准:JGJ/T 346—2014[S/CD]. 北京:中国建筑工业出版社, 2014