The reduction of greenhouse gases from buildings forms the cornerstone of policy to mitigate the effects of climate change. However, the automation of urban scale building energy modeling systems required to meet global urban demand has proven challenging due to the bespoke characteristics of each city. One such point of uniqueness between cities is that of urban microclimate, which may play a major role in altering the performance of energy efficiency in buildings. This research proposes a way to rapidly collect urban microclimate data through the utilization of satellite readings and climate reanalysis. We then demonstrate the potential utility of this data by composing an analysis against three years of monthly building energy consumption data from New York City. As a whole, microclimate in New York City may be responsible for large swings in urban energy consumption. We estimate that Central Park may reduce the electricity consumption of adjacent buildings by 5-10%, while vegetation overall seems to have no appreciable impact on gas consumption. We find that favorable urban microclimates may decrease the gas consumption of some buildings in New York by 71% while others may increase gas consumption by as much as 221%. Additionally, microclimates may be responsible for the decrease of electricity consumption by 28.6% in regions or increases of 77% consumption in others. This work provides a method of curating global, high resolution microclimate data, allowing researchers to explore the invisible walls of urban microclimate which interact with the buildings around them.
翻译:建筑物温室气体的减少是减轻气候变化影响政策的基石。然而,城市规模建筑能源建模系统自动化,满足全球城市需求所需的能源建模系统自动化,由于每个城市的突出特点,证明具有挑战性。城市之间的一个独特点是城市微观气候,这在改变建筑物能源效率绩效方面可能起到重要作用。这项研究提出了通过利用卫星读数和气候再分析迅速收集城市微观气候数据的方法。然后,我们通过对纽约市每月3年的建筑能源消费数据进行分析,展示了这些数据的潜在效用。总的来说,纽约市的微型气候可能引发城市能源消费的大幅波动。我们估计,中央公园可能会将邻近建筑物的电力消耗量减少5-10%,而整个植被似乎对天然气消耗没有明显影响。我们发现,有利的城市微观气候建环境可能使纽约一些建筑物的气体消耗量减少71%,而其他建筑物的气体消耗量可能增加221%。此外,微观气候建理可能对城市能源消耗量减少28.6%负有责任,而城市的微生物建构则提供了一种高分辨率数据,使城市的温度上升。