首页> 外文期刊>Iranica Journal of Energy and Environment >Providing an Optimal Execution Model for Windows Based on Glazing to Reduce Fossil Fuel Consumption (Case Study: Asman Residential Complex of Tabriz)
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Providing an Optimal Execution Model for Windows Based on Glazing to Reduce Fossil Fuel Consumption (Case Study: Asman Residential Complex of Tabriz)

机译:基于玻璃窗为窗帘提供最佳执行模型,以减少化石燃料消耗(案例研究:Tabriz的Asman住宅综合体)

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According to statistics provided by the Iranian Statistics Center,40% of energy consumption is related to the housing sector. Windows as a component of exterior wall, Responsible for 20-30% of all energy infiltration. Therefore, the purpose of this study, is to optimize residential windows in cold and dry climate of Tabriz in order to reduce energy consumption. The research method is based on simulation with two methods "parametric optimization" and "genetic algorithm". The research tool is Design Builder software. So, the amount of annual gas consumption in the case study was received from the National Iranian Gas Company and then the basic research model is modeled in software and after converting the unit from kWh to m3 and validating the obtained results from simulation, in the next step, the type of glazing and frame are changed and then the sensitivity is analyzed by the two mentioned methods. The results showed that by replacing windows with triple glazedglazing with low emission coating filled with argon, krypton and xenon gas and UPVC frame with clear double glazed-glazing filled with argon gas and iron frame, annual gas consumption for heating decreased by 52.43%, 55.34% and 56.60% and the heat loss from the windows is reduced by 7.97%, 9.54% and 10.49%, respectively.
机译:根据伊朗统计中心提供的统计数据,40%的能源消耗与住房部门有关。 Windows作为外墙的组件,负责所有能量渗透的20-30%。因此,本研究的目的,是为了优化塔德里兹冷酷气候的住宅窗户,以减少能耗。研究方法基于具有两种方法“参数优化”和“遗传算法”的模拟。研究工具是Design Builder软件。因此,案例研究中的年度煤气消耗量来自国家伊朗天然气公司,然后在将单位从KWH转换为M3并验证从仿真验证的基础研究,然后在下一步步骤,玻璃窗和框的类型改变,然后通过两种方法分析灵敏度。结果表明,通过用氩气,氪气和氙气和Upvc框架的低排放涂层更换三层玻璃状玻璃,用透明双层玻璃玻璃装有氩气和铁框,可加热的年度气体消耗降低52.43%,55.34 %和56.60%,窗户的热量损失分别减少了7.97%,9.54%和10.49%。

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