An unmanned aerial vehicle based investigation of roof patch suitability for solar panel installation

Nizar Polat; Abdulkadir Memduhoğlu

Makale detayları

An unmanned aerial vehicle based investigation of roof patch suitability for solar panel installation

Yazarlar:

Nizar Polat | Abdulkadir Memduhoğlu

Yayıncı:

Murat YAKAR

Ana Başlıklar:

Geospatial Information Systems and Geospatial Data Modelling | Photogrammetry and Remote Sensing

Dergi:

International Journal of Engineering and Geosciences Vol.9 Issue 2, pp.281-291

Belge Tipi:

Makale

Yayın Tarihi:

7/2024

Belge Dili:

İngilizce

Document ID (Org No.):

2001323617

pISSN:

2548-0960

Anahtar kelimeler:

Özet:

 This study presents a Geographic Information Systems GIS and Unmanned Aerial Vehicle UAV based approach to determine suitable roof patches of buildings for solar panel installation in Harran University Şanlıurfa campus area. Initially, the Solar Radiation Potential SRP of the study area was calculated using a UAV-based Digital Surface Model DSM in GIS. Then, a correction process was applied to this theoretically calculated SRP by using an adjustment coefficient derived from 5-year measurements of the Solar Power Plant SPP located in the region. This coefficient was used to adjust the calculated SRP and compared with the SPP measurements at a concurrent period. The rooftop objects were segmented by textural analysis to determine the suitable panel installation patches on the buildings. Then, the obtained suitable patches are divided into four different classes considering the adjusted total SRP to find panel installation priority. Finally, the calculated electricity potential of the suitable roof patches could meet approximately 65 of the yearly consumption of campus buildings. This paper reveals that in GIS-based SRP studies, it is necessary to detect the rooftop objects to obtain the solar panel installation area more accurately, and a correction should be applied to approximate the theoretically calculated SRP values to the actual values.

 This study presents a Geographic Information Systems GIS and Unmanned Aerial Vehicle UAV based approach to determine suitable roof patches of buildings for solar panel installation in Harran University Şanlıurfa campus area. Initially, the Solar Radiation Potential SRP of the study area was calculated using a UAV-based Digital Surface Model DSM in GIS. Then, a correction process was applied to this theoretically calculated SRP by using an adjustment coefficient derived from 5-year measurements of the Solar Power Plant SPP located in the region. This coefficient was used to adjust the calculated SRP and compared with the SPP measurements at a concurrent period. The rooftop objects were segmented by textural analysis to determine the suitable panel installation patches on the buildings. Then, the obtained suitable patches are divided into four different classes considering the adjusted total SRP to find panel installation priority. Finally, the calculated electricity potential of the suitable roof patches could meet approximately 65 of the yearly consumption of campus buildings. This paper reveals that in GIS-based SRP studies, it is necessary to detect the rooftop objects to obtain the solar panel installation area more accurately, and a correction should be applied to approximate the theoretically calculated SRP values to the actual values.

 This study presents a Geographic Information Systems GIS and Unmanned Aerial Vehicle UAV based approach to determine suitable roof patches of buildings for solar panel installation in Harran University Şanlıurfa campus area. Initially, the Solar Radiation Potential SRP of the study area was calculated using a UAV-based Digital Surface Model DSM in GIS. Then, a correction process was applied to this theoretically calculated SRP by using an adjustment coefficient derived from 5-year measurements of the Solar Power Plant SPP located in the region. This coefficient was used to adjust the calculated SRP and compared with the SPP measurements at a concurrent period. The rooftop objects were segmented by textural analysis to determine the suitable panel installation patches on the buildings. Then, the obtained suitable patches are divided into four different classes considering the adjusted total SRP to find panel installation priority. Finally, the calculated electricity potential of the suitable roof patches could meet approximately 65 of the yearly consumption of campus buildings. This paper reveals that in GIS-based SRP studies, it is necessary to detect the rooftop objects to obtain the solar panel installation area more accurately, and a correction should be applied to approximate the theoretically calculated SRP values to the actual values.

 This study presents a Geographic Information Systems GIS and Unmanned Aerial Vehicle UAV based approach to determine suitable roof patches of buildings for solar panel installation in Harran University Şanlıurfa campus area. Initially, the Solar Radiation Potential SRP of the study area was calculated using a UAV-based Digital Surface Model DSM in GIS. Then, a correction process was applied to this theoretically calculated SRP by using an adjustment coefficient derived from 5-year measurements of the Solar Power Plant SPP located in the region. This coefficient was used to adjust the calculated SRP and compared with the SPP measurements at a concurrent period. The rooftop objects were segmented by textural analysis to determine the suitable panel installation patches on the buildings. Then, the obtained suitable patches are divided into four different classes considering the adjusted total SRP to find panel installation priority. Finally, the calculated electricity potential of the suitable roof patches could meet approximately 65 of the yearly consumption of campus buildings. This paper reveals that in GIS-based SRP studies, it is necessary to detect the rooftop objects to obtain the solar panel installation area more accurately, and a correction should be applied to approximate the theoretically calculated SRP values to the actual values.

Makale detayları

An unmanned aerial vehicle based investigation of roof patch suitability for solar panel installation

Yazarlar:

Nizar Polat | Abdulkadir Memduhoğlu

Yayıncı:

Murat YAKAR

Ana Başlıklar:

Geospatial Information Systems and Geospatial Data Modelling | Photogrammetry and Remote Sensing

Dergi:

International Journal of Engineering and Geosciences Vol.9 Issue 2, pp.281-291

Belge Tipi:

Makale

Yayın Tarihi:

7/2024

Belge Dili:

İngilizce

Document ID (Org No.):

2001323617

pISSN:

2548-0960

Solar radiation potential

Unmanned aerial vehicle

GIS

Image processing

Sayı

Makale detayları

An unmanned aerial vehicle based investigation of roof patch suitability for solar panel installation

Yazarlar: Nizar Polat | Abdulkadir Memduhoğlu

Yayıncı: Murat YAKAR

Ana Başlıklar: Geospatial Information Systems and Geospatial Data Modelling | Photogrammetry and Remote Sensing

Dergi: International Journal of Engineering and Geosciences Vol.9 Issue 2, pp.281-291

Belge Tipi: Makale

Yayın Tarihi: 7/2024

Belge Dili: İngilizce

Document ID (Org No.): 2001323617

pISSN: 2548-0960

Solar radiation potential

Unmanned aerial vehicle

GIS

Image processing

Sayı

Yazarlar:

Nizar Polat | Abdulkadir Memduhoğlu

Yayıncı:

Murat YAKAR

Ana Başlıklar:

Geospatial Information Systems and Geospatial Data Modelling | Photogrammetry and Remote Sensing

Dergi:

International Journal of Engineering and Geosciences Vol.9 Issue 2, pp.281-291

Belge Tipi:

Makale

Yayın Tarihi:

7/2024

Belge Dili:

İngilizce

Document ID (Org No.):

2001323617

pISSN:

2548-0960