TY - GEN
T1 - GIS Information for Solar PV Energy Siting
T2 - 47th IEEE Photovoltaic Specialists Conference, PVSC 2020
AU - Soares, Paulo
AU - Bayrakci-Boz, Mesude
AU - Brownson, Jeffrey R.S.
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/6/14
Y1 - 2020/6/14
N2 - This document presents a GIS-based model for the assessment of the potential for the installation of photovoltaic systems in urban environments, installed at the rooftop of buildings. The work represents an improvement of the methodology developed by Bayrakci-Boz (2015) as it adds a three-dimensional view of the site of study, and also (and more importantly) it is capable of extracting useful information from low-resolution LiDAR data. The methodology was used to map the solar photovoltaic potential within the Borough of State College, PA, USA.
AB - This document presents a GIS-based model for the assessment of the potential for the installation of photovoltaic systems in urban environments, installed at the rooftop of buildings. The work represents an improvement of the methodology developed by Bayrakci-Boz (2015) as it adds a three-dimensional view of the site of study, and also (and more importantly) it is capable of extracting useful information from low-resolution LiDAR data. The methodology was used to map the solar photovoltaic potential within the Borough of State College, PA, USA.
UR - http://www.scopus.com/inward/record.url?scp=85099569090&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85099569090&partnerID=8YFLogxK
U2 - 10.1109/PVSC45281.2020.9300797
DO - 10.1109/PVSC45281.2020.9300797
M3 - Conference contribution
AN - SCOPUS:85099569090
T3 - Conference Record of the IEEE Photovoltaic Specialists Conference
SP - 1749
EP - 1753
BT - 2020 47th IEEE Photovoltaic Specialists Conference, PVSC 2020
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 15 June 2020 through 21 August 2020
ER -
