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Shading modeling using LIDAR/ GIS for harvesting solar energy in the city of Kingston, ON, Canada | Shading modeling using LIDAR/ GIS for harvesting solar energy in the city of Kingston, ON, Canada | ||
[http://escholarship.org/uc/item/0gr843sm?display=all Levinson and Gupta (2008): Estimating solar access of typical residential rooftops: A case study in San Jose, CA] presents a complete guidance for estimating the shadows cast by tress and buildings on rooftop PV systems. The process encompasses processing LiDAR data to get surface and ground elevation model (DSM and DEM), extracting urban land use classes, applying irradiation models on the features and modeling the shadows with time. If anything, this should be the core paper for the thesis. However a few modifications/ additions are forthcoming: (i) a parallel workflow between indistrial use ArcGIS and open source GRASS LiDAR tools; (ii) recommended usage of the Perez et al model over the HDKR model (with suggestions and codes from Rob and Amir; (iii) different softwares for ray tracing and solar feature (roof) extraction. The extraction of roof/ trees and calculation of their heights are further detailed in [http://www.isprs.org/proceedings/XXXVII/congress/4_pdf/70.pdf Kessner et al: Analysis of the solar potential of roofs by using official LiDAR data], [http://www.mdpi.com/1424-8220/9/7/5241/pdf Jochem et al: Automatic Roof Plane Detection and Analysis in Airborne Lidar Point Clouds for Solar Potential Assessment] and | [http://escholarship.org/uc/item/0gr843sm?display=all Levinson and Gupta (2008): Estimating solar access of typical residential rooftops: A case study in San Jose, CA] presents a complete guidance for estimating the shadows cast by tress and buildings on rooftop PV systems. The process encompasses processing LiDAR data to get surface and ground elevation model (DSM and DEM), extracting urban land use classes, applying irradiation models on the features and modeling the shadows with time. If anything, this should be the core paper for the thesis. However a few modifications/ additions are forthcoming: (i) a parallel workflow between indistrial use ArcGIS and open source GRASS LiDAR tools; (ii) recommended usage of the Perez et al model over the HDKR model (with suggestions and codes from Rob and Amir; (iii) different softwares for ray tracing and solar feature (roof) extraction. The extraction of roof/ trees and calculation of their heights are further detailed in [http://www.isprs.org/proceedings/XXXVII/congress/4_pdf/70.pdf Kessner et al: Analysis of the solar potential of roofs by using official LiDAR data], [http://www.mdpi.com/1424-8220/9/7/5241/pdf Jochem et al: Automatic Roof Plane Detection and Analysis in Airborne Lidar Point Clouds for Solar Potential Assessment], [http://blogs.esri.com/Dev/blogs/geoprocessing/archive/2008/11/06/Lidar-Solutions-in-ArcGIS_5F00_part-1_3A00_-Assessing-Lidar-Coverage-and-Sample-Density.aspx Clayton Crawford's tutorial] and [http://grass.osgeo.org/wiki/LIDAR]. | ||
[http://www.sciencedirect.com/science?_ob=ArticleURL&_udi=B6V50-4X7BJCR-1&_user=1025668&_coverDate=12%2F31%2F2009&_rdoc=1&_fmt=high&_orig=search&_sort=d&_docanchor=&view=c&_searchStrId=1392282206&_rerunOrigin=google&_acct=C000050549&_version=1&_urlVersion=0&_userid=1025668&md5=96e003d7d27d9883374667bbb92e1ff4 Levinson et al (2009): Solar access of residential rooftops in four California cities] | [http://www.sciencedirect.com/science?_ob=ArticleURL&_udi=B6V50-4X7BJCR-1&_user=1025668&_coverDate=12%2F31%2F2009&_rdoc=1&_fmt=high&_orig=search&_sort=d&_docanchor=&view=c&_searchStrId=1392282206&_rerunOrigin=google&_acct=C000050549&_version=1&_urlVersion=0&_userid=1025668&md5=96e003d7d27d9883374667bbb92e1ff4 Levinson et al (2009): Solar access of residential rooftops in four California cities] |
Revision as of 15:32, 6 July 2010
Shading modeling using LIDAR/ GIS for harvesting solar energy in the city of Kingston, ON, Canada
Levinson and Gupta (2008): Estimating solar access of typical residential rooftops: A case study in San Jose, CA presents a complete guidance for estimating the shadows cast by tress and buildings on rooftop PV systems. The process encompasses processing LiDAR data to get surface and ground elevation model (DSM and DEM), extracting urban land use classes, applying irradiation models on the features and modeling the shadows with time. If anything, this should be the core paper for the thesis. However a few modifications/ additions are forthcoming: (i) a parallel workflow between indistrial use ArcGIS and open source GRASS LiDAR tools; (ii) recommended usage of the Perez et al model over the HDKR model (with suggestions and codes from Rob and Amir; (iii) different softwares for ray tracing and solar feature (roof) extraction. The extraction of roof/ trees and calculation of their heights are further detailed in Kessner et al: Analysis of the solar potential of roofs by using official LiDAR data, Jochem et al: Automatic Roof Plane Detection and Analysis in Airborne Lidar Point Clouds for Solar Potential Assessment, Clayton Crawford's tutorial and [1].
Levinson et al (2009): Solar access of residential rooftops in four California cities
Robinson (2006): Urban morphology and indicators of radiation availability
Compagnon (2004): Solar and daylight availability in the urban fabric
Rae et al (1999): Estimating the uptake of distributed energy in an urban setting
Ayoub, Dignard-Bailey and Fillion (2000): Photovoltaics for buildings: Opportunities for Canada