论文标题
屋顶太阳能自动现场选择的屋顶年龄确定
Roof Age Determination for the Automated Site-Selection of Rooftop Solar
论文作者
论文摘要
屋顶太阳能是吸收温室气体（GHG）排放的最有前途的工具之一，并且在当今世界许多地区与化石燃料具有成本竞争力。确定建筑物对屋顶太阳能的适用性的最重要标准之一是其屋顶的当前时代。原因很简单 - 因为屋顶太阳能安装长期寿命，因此屋顶需要足够新的时间才能持续到太阳阵列的寿命或足够老的一生，以证明被替换为合理的合理性。在本文中，我们提出了一种数据驱动的方法，用于确定历史卫星图像的屋顶年龄，该方法消除了屋顶太阳能选择的全自动管道的最后障碍之一。我们估计，解决此问题的完整解决方案将使屋顶太阳能的客户获取成本降低$ \ sim $ 20 \％，从而导致$ \ sim $ \ sim $ 750 $ _2 $ _2 $在2020年至2050年之间流离失所。
Rooftop solar is one of the most promising tools for drawing down greenhouse gas (GHG) emissions and is cost-competitive with fossil fuels in many areas of the world today. One of the most important criteria for determining the suitability of a building for rooftop solar is the current age of its roof. The reason for this is simple -- because rooftop solar installations are long-lived, the roof needs to be new enough to last for the lifetime of the solar array or old enough to justify being replaced. In this paper we present a data-driven method for determining the age of a roof from historical satellite imagery, which removes one of the last obstacles to a fully automated pipeline for rooftop solar site selection. We estimate that a full solution to this problem would reduce customer acquisition costs for rooftop solar by $\sim$20\%, leading to an additional $\sim$750 megatons of CO$_2$ displaced between 2020 and 2050.
