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Passive building characteristics, and summertime residential energy use: A spatial analysis of energy efficiency in Gainesville, FL

机译:被动式建筑特征和夏季住宅能耗:佛罗里达州盖恩斯维尔的能效空间分析

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摘要

Passive design and landscape variables (e.g., rooftop albedo and shading vegetation) are frequently proposed as important green building techniques. However, there is a paucity of literature demonstrating their large-scale effects with empirically measured building stocks and observed residential energy consumption. This paper uses a spatial Durbin error model (SDEM) approach to test the effects of passive building performance indicators, such as orientation, albedo, and NDVI, on city-wide summertime household billed energy data in Gainesville, FL. Our findings suggest that vegetation and albedo reduce energy consumption, but our model did not produce similar significant results for building orientation and footprint compactness. These results provide evidence to suggest high albedo roofing and purposeful shading are important energy conservation strategies for energy-efficient residential neighborhoods.
机译:被动设计和景观变量(例如屋顶反照率和阴影植被)经常被建议作为重要的绿色建筑技术。但是,很少有文献用经验测得的建筑存量和观察到的住宅能耗来证明它们的大规模影响。本文使用空间Durbin误差模型(SDEM)方法来测试被动建筑性能指标(如方位,反照率和NDVI)对佛罗里达州盖恩斯维尔市全市夏季家庭账单能源数据的影响。我们的发现表明,植被和反照率可减少能源消耗,但我们的模型在建筑物定位和占地面积紧凑方面并未产生相似的显着结果。这些结果提供了证据,表明高反照率的屋面和有目的的遮阳是节能住宅区的重要节能策略。

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