高效的围护结构设计,最大限度地节省曼谷社区的住宅冷却能源

Natthaumporn Inprom, Daranee Jareemit
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引用次数: 0

摘要

建筑设计可以显著提高家庭能源效率。定期提出新的节能技术;然而,将所有的设计参数整合到能量模拟的具体知识和耗时,使得非专家的建筑能量分析困难。本研究调查了围护结构设计对位于曼谷附近地区的住宅小区的家庭冷却能耗的影响。该研究选择了一个有代表性的房子,并确定了一系列的围护结构设计,包括外墙和屋顶的热性能、油漆颜色、屋顶屋檐的长度和窗墙比(WWR)。拉丁超立方体方法基于这些设计参数随机生成200组设计场景。利用eQuest模型对四种方向的家庭制冷能耗进行了分析,并对仿真结果进行了验证。标准化回归系数(SRC)用于确定设计参数与独立式住宅冷却能耗之间的强相关性。结果表明,改善窗户的太阳热增益系数(SHGC)、墙壁粉刷颜色、墙壁u值和屋顶屋檐长度可以减少高达19.7%的能源消耗。研究发现,用水量和建筑朝向对家庭制冷能耗的影响很小,尤其是对于方形房屋。研究结果为设计师和非专业人士提供了一个简单的设计指南,以提高他们的家居设计的能源效率。
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Efficient Envelope Designs to Maximize Residential Cooling Energy Savings in Bangkok Neighborhoods
Architectural design can significantly improve home energy-efficiency. New energy-saving techniques are regularly proposed; however, integrating all design parameters into the energy simulation specific knowledge and is time-consuming, making it difficult for non-experts in building energy analysis. This present study investigates the impact of envelope designs on household cooling energy consumption in housing complexes located in Bangkok neighborhood areas. The study selects a representative house and identifies a range of envelope designs, including thermal properties of exterior walls and roof, painted color, length of roof eaves, and window-to-wall ratio (WWR). The Latin hypercube method randomly generates two hundred sets of design scenarios based on those design parameters. The eQuest model is used to perform analysis of household cooling energy consumption for four orientations, and the simulation results are validated. The standardized regression coefficient (SRC) is used to determine a strong correlation between design parameters and cooling energy consumption in detached houses. The results reveal that improving a window’s solar heat gain coefficient (SHGC), wall painted color, wall u-value, and length of roof eaves could reduce energy consumption by up to 19.7 percent. The WWR and building orientation were found to have only a small impact on household cooling energy consumption, especially for a square-shaped house. The results provide designers and non-professional a simple design guideline to improve the energy efficiency of their home designs.
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