Development of a method for estimating the rooftop solar photovoltaic (PV) potential by analyzing the available rooftop area using Hillshade analysis

Estimating rooftop solar technical potential across the US using a combination of GIS-based methods, lidar data, and statistical modeling

“…These methods have been used to estimate the suitability of rooftops and PV technical potential for numerous cities and countries, such as San Diego (Anders and Bialek 2006), Philadelphia (Boz et al 2015), Seoul (Hong et al 2017), Chile (Campos et al 2016), Ontario (Wiginton et al 2010), Lisbon (Brito et al 2012), Brazil (Miranda et al 2015), Minneapolis (Risse et al 2014), Austin (Wiese et al 2010), and Canada (Pelland and Poissant 2006). New methods are being developed continuously, including ones that utilize machine learning (Assouline et al 2017), 3D city models (Lukac et al 2016), and layer on economic considerations (Rodriguez et al 2017).…”

Advanced Strategies for Net-Zero Energy Building: Focused on the Early Phase and Usage Phase of a Building’s Life Cycle

“…developed a method for predicting the amount of electricity generated from the rooftop PV system through hill shade analysis, by assessing the potential of three perspectives (i.e., physical, geographic, and technical potential). As a result of applying the developed methodology to the Gangnam district in Seoul, South Korea, the physical, geographic (i.e., the available rooftop area), and technical potentials of Gangnam district were 9,178,982 MWh, 4,964,118 m 2 , and 1,130,371 MWh [82]. Second, there have been various studies on the BIPV [83][84][85][86][87][88][89][90][91][92][93][94][95].…”

“…First, there have been various studies on the rooftop PV system [75][76][77][78][79][80][81][82]. Ordóñez et al (2010) investigated the energy capacity of the PV system in Andalusia, Spain considering the residential building characterization (e.g., detached house, townhouse, etc.…”

Identification of Building-Surrounded Obstacle Parameter Using Automated Simulation to Support Building Integrated Photovoltaic (BIPV) Layout Planning in Thailand

“…Therefore the quantitative assessment of the incident irradiance on their surface is the most important issue, which affects the performance of the PV systems directly (Yoon, Song, & Lee, 2011;Celik, Karatepe, Gokman, & Silvestre, 2013;Yang, 2015). There are several studies that provide theoretical models to simulate the behavior of PV modules and generators in conditions of non-uniform radiation and also studies that provide models to estimate the effective irradiation, thus, after incorporating shading effects and these models are able to be used to estimate the electricity losses and mismatch losses in which the PV system incurs due to the effect of inhomogeneous irradiation (Norton, et al, 2011;Alam, Coors, Zlatanova, & Oosterom, 2012;Celik, Karatepe, Gokman, & Silvestre, 2013;Masa-bote & Caamaño-Martín, 2014;Celik, Karatepe, Silvestre, Gokman, & Chouder, 2015;Hong, Lee, Koo, Jeong, & Kim, 2017;Zomer & Rüther, 2017). However, there are a very few studies of the optimization of facility planning and buildings placement that strengthen solar energy utilization of a building in an interconnected composition with surrounding buildings to reduce the impacts of shading conditions due to dynamic changing of solar geometry.…”