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相同建筑相同节能措施在不同气象条件下的负荷减少率 被引量:1

Load decrease rate of the same building with the same energy saving measures under different climatic conditions
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摘要 以广州、重庆、北京等12个城市为对象,分别以DOE2中的TMY2,DeST-h中的TRY及修改的TMY2辐射数据,构建了36组完全不同的8760h气象数据库,利用特征温度法模拟计算相同建筑在围护结构改进前后单位建筑面积的全年空调和供暖耗能量。研究发现,对所涉及的城市,尽管因三种气象数据库(36组)显著不同,导致计算出的围护结构改进前后(72组)建筑全年空调供暖负荷、负荷减小量存在很大的差异,但是在不同气象条件下对模型建筑采取相同的节能措施,各城市全年空调负荷减小率(节能率)是相近的;各个城市全年供暖负荷减小率(节能率)也是相近的。从而证明了现行各国标准均规定围护结构K限值的通常做法是完全正确的。 Taking twelve cites including Guangzhou, Chongqing, Beijing as objects, builds up 36 groups of utterly different 8 760 h weather database on the basis of TMY2 in DOE-2, TRY in DeST-h and modified radiation data of TMY2. Simulates annual cooling and heating energy consumption per building area of the same building before and after the improvement of building envelope by way of characteristic temperature method (CTM). Finds out that three kinds of different weather database, 36 groups, results in great difference in annual cooling and heating load before and after the improvement of building envelope (72 groups) in related twelve cities and that the annual decrease rates of air conditioning load and heating load (energy saving rate) in all cities are similar when the same measures are taken under different weathers. Thus it is well-founded of various countries to specify a limit for the heat transfer coefficient of building envelope in the current standards.
机构地区 重庆大学
出处 《暖通空调》 北大核心 2005年第8期114-118,共5页 Heating Ventilating & Air Conditioning
关键词 气象条件 住宅建筑 负荷减小率 特征温度法 空调 供暖 节能率 建筑面积 供暖负荷 节能措施 climatic condition, residential building, load decrease rate, characteristic temperature method (CTM), air conditioning, heating, energy saving rate
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  • 1Long Enshen. Are the energy efficient rates (RVRs)approximate under different climatic locations for the building with the same reform? Building and Environment, 2005,40(4): 557 - 562
  • 2Lam J C. Climatic influences on the energy performance of air-conditioned buildings. Energy Conversion &Management, 1999,40(1): 39 - 49
  • 3Long Enshen. General descriptions of research method,buildings, analysis object, assumptions and weather conditions of background cities. Building and Environment, 2005,40(4): 443 - 450
  • 4Lam J C. Tsang C L, Yang L, et al. Weather data analysis and design implications for different climatic zones in China. Building and Environment, 2005, 40(1) :277 - 296
  • 5Argiriou A, Lykoudis S, Kontoyiannidis S, et al.Comparison of methodologies for TMY generation using 20 years data for Athens, Greece. Solar Energy, 1999,66(1):33-45
  • 6Long Enshen. Identification: inevitability of approximation of RVRs under different meteorological conditions when taking the same energy-saving measures to the same building. Building and Environment, 2005,40(4): 563 - 569
  • 7Long Enshen. Editorial: guide to readers. Building and Environment, 2005,40(4): 439 - 441

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