共查询到19条相似文献,搜索用时 155 毫秒
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南京地区冬季窗节能研究 总被引:6,自引:1,他引:6
根据南京市的典型年逐时气象参数,对于该市的同一座建筑物,应用自编的逐时能耗模拟程序对围护结构冬季采暖期能耗(窗户,墙体和屋顶)进行逐时动态负荷模拟计算,通过逐时负荷计算累加得到不同窗户,墙体和屋顶的冬季采暖期间能耗,结果表明,塑窗比钢窗节能,双层窗比单层窗节能,对单层窗而言,双玻窗比单玻窗节能。 相似文献
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美国、加拿大窗户能耗等级评价体系综述 总被引:2,自引:2,他引:2
窗户带来的建筑能耗是巨大的。同时显著影响室内环境的热舒适程度。合理地进行住宅窗户材料选择和结构设计,可有效降低采暖或制冷能耗、节省费用。该文对加拿大、美国建立的窗户能耗等级评价体系的原理及应用进行概述,并对两者的评价结果进行比较;分析了太阳得热系数对降低能耗、提高热舒适性的重要性,为在中国建立相应的窗户能耗等级评价体系、设计开发节能新产品提供积极的参考。 相似文献
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冬暖夏凉型双层节能式窗户属最新国家专利,由外侧窗扇和内侧窗扇组成,内侧窗扇使用白玻璃,外侧窗扇使用遮阳型Low-E中空玻璃。该专利窗户冬暖夏凉,节能远远超过65%目标要求。 相似文献
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基于DeST-c软件,以皖南地区安庆市某办公建筑为研究对象,模拟研究建筑窗墙比与外窗类型对建筑负荷的影响。结合采光、美观和节能等因素,采用分配权重法得到皖南地区东西向窗墙比的设置应介于0.341~0.351之间为优;北向窗墙比的设置应当介于0.406~0.416之间为优;南向窗墙比的设置应当介于0.439~0.449之间为优。结合窗墙比分析结果,研究建筑模型装配不同类型节能门窗的建筑负荷。结果表明:对于皖南地区制冷能耗,玻璃种类影响显著,装配Low-e中空玻璃的铝合金、断桥铝合金、塑钢、集成木材外窗相比于装配普通中空玻璃,其空调节能率分别提高了44.14%、76.72%、78.22%、50.00%。而窗框系统的保温性则对于采暖能耗具有重要意义。建议皖南地区使用塑钢门窗装配Low-e中空玻璃的外窗系统,当以铝合金单玻外窗系统为基准时,其采暖节能率为26.08%,空调节能率为78.22%,全年累计总负荷节约了11.21%。 相似文献
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外窗传热分析及窗的节能方法 总被引:1,自引:0,他引:1
分析了居住建筑的外窗传热情况,针对影响传热的因素归纳出提高外窗节能性能的方法,并对不同材质和形式的外窗热阻计算比较分析,提出效果较好的节能窗的形式。 相似文献
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本文对建筑中的外门窗在太阳辐射热的传递与利用,对几种玻璃光在不同波段情况有效光的传递等方面作了分析研究,得出了不同的太阳高度角下、建筑不同朝向的窗户应选用的建筑门窗玻璃。并特别指出Low-E玻璃对建筑节能有着突出的优势。 相似文献
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广州地区建筑围护结构能耗分析 总被引:2,自引:1,他引:1
分析总结出广州地区建筑围护结构中不透明部分、半透明部分(玻璃窗)和朝向三个因素对建筑整体能耗的影响规律:围护结构中半透明部分比不透明部分的建筑整体能耗大,东西朝向比南北朝向的建筑能耗大。 相似文献
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低辐射能玻璃窗的节能研究 总被引:15,自引:2,他引:13
建立了低辐射能玻璃窗的物理传热模型,计算并分析了反应窗户性能的两个参数,传热系数U和太阳得热系数SHGC,着重讨论了低辐射能玻璃窗的这两个参数的特点和影响因素,找出其节能的机理,通过负荷模拟,研究了低辐射能窗户对空调能耗的影响,并在模拟结果的基础上,对我国4种典型气候下最适宜使用的低辐射能玻璃窗进行了分析。 相似文献
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Energy conservation measures on buildings have a significant role to play in reducing the burden of the energy bill on the Lebanese economy. The residential sector is one of various sectors that energy measures can be applied to. Such measures include the use of insulation materials, double-glazed windows, shading, efficient air-conditioning systems, economical lighting and reduction of infiltration rates. It is demonstrated through detailed energy analysis of typical residential and office buildings that strict conservation is benificial on the micro- and macro-economic levels. A code of practice is suggested to establish acceptable standards for energy use in residential buildings and ranking is done of energy measures based on economical indices. © 1998 John Wiley & Sons, Ltd. 相似文献
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Detailed computer simulation programs require lengthy inputs, and cannot directly provide an insight to relationship between the window energy performance and the key window design parameters. Hence, several window energy rating systems (WERS) for residential houses and small buildings have been developed in different countries. Many studies showed that utilization of daylight through elaborate design and operation of windows leads to significant energy savings in both cooling and lighting in office buildings. However, the current WERSs do not consider daylighting effect, while most of daylighting analyses do not take into account the influence of convective and infiltration heat gains. Therefore, a generalized WERS for typical office buildings has been presented, which takes all primary influence factors into account. The model includes embodied and operation energy uses and savings by a window to fully reflect interactions among the influence parameters. Reference locations selected for artificial lighting and glare control in the current common simulation practice may cause uncompromised conflicts, which could result in over- or under-estimated energy performance. Widely used computer programs, DOE2 and ADELINE, for hourly daylighting and cooling simulations have their own weaknesses, which may result in unrealistic or inaccurate results. An approach is also presented for taking the advantages of the both programs and avoiding their weaknesses. The model and approach have been applied to a typical office building of Hong Kong as an example to demonstrate how a WERS in a particular location can be established and how well the model can work. The energy effect of window properties, window-to-wall ratio (WWR), building orientation and lighting control strategies have been analyzed, and can be indicated by the localized WERS. An application example also demonstrates that the algebraic WERS derived from simulation results can be easily used for the optimal design of windows in buildings similar to the typical buildings. 相似文献