3D Solarweb: A solar cadaster in the Italian Alpine landscape

Abstract. The paper presents the research carried out in the on-going 3DSolarWeb project to test and implement a complete pipeline for the generation of a solar cadastre of building roofs located in alpine areas. The project aims at providing reliable results in a costeffective way, using (low resolution) available data and new aerial imagery acquisitions as input. The environmental context is digitally represented using already existing low resolution LiDAR data (1–2 m resolution), while the urban area is modelled using high resolution aerial images (10–20 cm GSD) and photogrammetric DSM. Reliable models and algorithms for the estimation of the incoming sun radiance are then adopted and a WebGIS is set up for the interactive calculation of the photovoltaic (PV) potential in a raster-based form. The paper summarizes the entire pipeline and the results (Figure 1) achieved on the test areas to show the potentialities of the method and the web-based service.

[1]  Stefano Ubertini,et al.  Performance estimation and experimental measurements of a photovoltaic roof , 2003 .

[2]  Jaroslav Hofierka,et al.  A New 3‐D Solar Radiation Model for 3‐D City Models , 2012, Trans. GIS.

[3]  L. Bergamasco,et al.  Scalable methodology for the photovoltaic solar energy potential assessment based on available roof surface area: application to Piedmont Region (Italy) , 2011 .

[4]  M. Pierrot-Deseilligny,et al.  A MULTIRESOLUTION AND OPTIMIZATION-BASED IMAGE MATCHING APPROACH : AN APPLICATION TO SURFACE RECONSTRUCTION FROM SPOT 5-HRS STEREO IMAGERY , 2006 .

[5]  J. Trinder,et al.  Automated delineation of roof planes from LIDAR data , 2005 .

[6]  M. Hollaus,et al.  OBJECT DETECTION IN AIRBORNE LIDAR DATA FOR IMPROVED SOLAR RADIATION MODELING IN URBAN AREAS , 2009 .

[7]  Lucien Wald,et al.  The HelioClim Project: Surface Solar Irradiance Data for Climate Applications , 2011, Remote. Sens..

[8]  Jaroslav Hofierka,et al.  A New GIS‐based Solar Radiation Model and Its Application to Photovoltaic Assessments , 2004, Trans. GIS.

[9]  Lukas Zebedin,et al.  Towards 3D map generation from digital aerial images , 2006 .

[10]  R. Kassner,et al.  ANALYSIS OF THE SOLAR POTENTIAL OF ROOFS BY USING OFFICIAL LIDAR DATA , 2008 .

[11]  Bruno Vallet,et al.  Building footprint database improvement for 3D reconstruction: A split and merge approach and its evaluation , 2011 .

[12]  Dorothea Ludwig,et al.  Location analysis for solar panels by LiDAR-Data with Geoprocessing - SUN-AREA , 2009, EnviroInfo.

[13]  Mark Z. Jacobson,et al.  Review of solutions to global warming, air pollution, and energy security , 2009 .

[14]  Joshua M. Pearce,et al.  Estimating Potential Photovoltaic Yield with r.sun and the Open Source Geographical Resources Analysis Support System , 2010 .

[15]  Fabio Remondino,et al.  AUTOMATIC ROOF OUTLINES RECONSTRUCTION FROM PHOTOGRAMMETRIC DSM , 2012 .

[16]  Norbert Pfeifer,et al.  Automatic Roof Plane Detection and Analysis in Airborne Lidar Point Clouds for Solar Potential Assessment , 2009, Sensors.

[17]  Mariusz Szymanowski,et al.  Spatial information on total solar radiation: Application and evaluation of the r.sun model for the Wedel Jarlsberg Land, Svalbard , 2010 .

[18]  Qian-Yi Zhou,et al.  Fast and extensible building modeling from airborne LiDAR data , 2008, GIS '08.

[19]  Norbert Haala,et al.  An update on automatic 3D building reconstruction , 2010 .

[20]  K. Kurokawa,et al.  Photogrammetric estimation of shading impacts on photovoltaic systems , 2005, Conference Record of the Thirty-first IEEE Photovoltaic Specialists Conference, 2005..

[21]  C. Furlanello,et al.  SOLAR RADIATION ESTIMATION ON BUILDING ROOFS AND WEB-BASED SOLAR CADASTRE , 2012 .

[22]  Annette Hammer,et al.  A New Algorithm for the Satellite-Based Retrieval of Solar Surface Irradiance in Spectral Bands , 2012, Remote. Sens..

[23]  Demir.  DETECTION OF BUILDINGS AT AIRPORT SITES USING IMAGES & LIDAR DATA AND A COMBINATION OF VARIOUS METHODS , 2009 .

[24]  George Vosselman,et al.  Quality analysis on 3D building models reconstructed from airborne laser scanning data , 2011 .

[25]  N. Fueyo,et al.  A method for estimating the geographical distribution of the available roof surface area for large-scale photovoltaic energy-potential evaluations , 2008 .

[26]  George Vosselman,et al.  Quality analysis on 3D building models reconstructed from airborne laser scanning data , 2011 .

[27]  J. Kaňuk,et al.  Assessment of photovoltaic potential in urban areas using open-source solar radiation tools , 2009 .