arXiv Open Access 2020

Roof Age Determination for the Automated Site-Selection of Rooftop Solar

Chris Heinrich Michael Laskin Simas Glinskis Evert van Nieuwenburg
Lihat Sumber

Abstrak

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.

Topik & Kata Kunci

Penulis (4)

C

Chris Heinrich

M

Michael Laskin

S

Simas Glinskis

E

Evert van Nieuwenburg

Format Sitasi

Heinrich, C., Laskin, M., Glinskis, S., Nieuwenburg, E.v. (2020). Roof Age Determination for the Automated Site-Selection of Rooftop Solar. https://arxiv.org/abs/2001.04227

Akses Cepat

Lihat di Sumber
Informasi Jurnal
Tahun Terbit
2020
Bahasa
en
Sumber Database
arXiv
Akses
Open Access ✓