Abstract
Solar radiation is the main factor that must be considered when predicting solar systems energy output. Especially in built-up areas the use of Digital Surface Models (DSM) and analysis with Geographic Information Systems (GIS) has gained popularity for these predictions in recent years. However, the identification of small objects and their impact in the shadowing of solar systems is a very important factor that cannot be entirely acquired by models from common available Light Detection and Ranging (LiDAR) data. Thus higher resolutions DSMs are required. These can be generated from photogrammetric point clouds derived from Unmanned Aerial System (UAS) based large scale image flights. This paper presents a comparison between a common available resolution DSM generated from standardized LiDAR data and a DSM with very high resolution from photogrammetric point clouds. The added value of using high-resolution DSMs for solar radiation estimation for PV rooftop-systems is discussed with a focus on elevation, slope, aspect and on the suitability for selection of usable roof-top areas. Although DSMs with resolutions up to 1 cm have been generated, the results show that a DSM of 25 cm is enough for considering all small roof-top objects that are relevant for estimation of solar radiation.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Agugiaro G, Nex F, De Remondino F, Filippi R, Droghetti S, Furlanello C (2012) Solar radiation estimation on building roofs and web-based solar cadaster. ISPRS Ann Photogrammetry Remote Sens Spat Inf Sci 1:177–182
Bondar I, Koch B, Krüger J, Reidelstürz P (1997) Anwendungspotential der photogrammetrischen Mehrbildtriangulation zur Vermessung terrestrisch forstlicher Aufnahmen und zur Raumlagebestimmung implantierter Micro – Multielektroden im Affenhirn aus simulierten Röntgenaufnahmen. Projektbericht Abteilung Fernerkundung und Landschaftsinformationssysteme, Institut für forstliche Betriebswirtschaftslehre, Forstliche Fakultät der Albert Ludwigs Universität Freiburg, 60S. Freiburg, Germany
Drauschke M, Bartelsen J, Reidelstürz P (2014) Towards UAV-based forest monitoring. In: Bendig J, Bareth G (eds) Proceedings of the workshop on UAV-based remote sensing methods for monitoring vegetation, Cologne, Germany, Geographisches Institut der Universität zu Köln - Kölner Geographische Arbeiten, Cologne, 9–10 Sept 2013, pp 21–32
Fu P, Rich PM (1999) Design and Implementation of the solar analyst: an ArcView extension for modeling solar radiation at landscape scales. In: Proccedings of the 19th annual ESRI user conference, San Diego, California, July 1999
Gaile GL, Burt JE (1980) Directional statistics. Geo Abstracts, Norwich
Hirschmueller H (2011) Semi-global matching—motivation, developments and applications. http://www.ifp.uni-stuttgart.de/phowo/2011/presentations/180Hirschmueller.pdf. 7 Sept 2014
Hofierka J, Suri M (2002) The solar radiation model for open source GIS: implementation and applications. In: Proceedings of the open source GIS-GRASS user conference 2002, Trento, Italy, 11–13 Sept 2002, pp 1–19
Jakubiec JA, Reinhart CF (2013) A method for predicting city-wide electricity gains from photovoltaic panels based on LiDAR and GIS data combined with hourly Daysim simulations. Sol Energy 93:127–143
Jäger-Waldau A (2013) PV status report 2013. Scientific and Policy Report by the Joint Research Centre of the European Commission, Luxembourg. Publication Office of the European Union, Belgium. http://iet.jrc.ec.europa.eu/remea/sites/remea/files/pv_status_report_2013.pdf. 5 July 2014
Kanters J, Wall M, Kjellsson E (2014) The solar map as a knowledge base for solar energy use. Energy Procedia 48:1597–1606
Lenardič D (2011) Large-scale photovoltaic power plants, annual and cumulative installed power output capacity 2000-2010. Denis Lenardič, s.p. Jesenice, Slovenia. http://www.pvresources.com/Portals/0/Download/AnnualReview2010.pdf. 12 Sept 2014
Ludwig D, Lanig S, Klärle M (2009) Location analysis for solar panels by LiDAR-data with geoprocessing—SUN-AREA. In: Wohlgemuth V, Page B, Voigt K (eds) Environmental informatics and industrial environmental protection: concepts, methods and tools. Shaker Verlag, Aachen, pp 83–89
Mitasova H, Mitas L, Harmon RS (2005) Simultaneous spline approximation and topographic analysis for lidar elevation data in open source GIS. IEEE Geosci Remote Sens Lett 2:375–379
Ramirez Camargo L, Pagany R, Marquardt A (2014) Zeitlich und räumlich hochaufgelöste Modellierung der potentiellen solaren Einstrahlung - ein Methodenvergleich. In: Strobl J, Blaschke T, Griesebner G, Zagel B (eds) Angewandte Geoinformatik 2014, Beiträge zum 26. AGIT-Symposium Salzburg, Wichmann, Berlin, 2–4 July 2014, pp 143–152
Ramirez Camargo L, Zink R (2014) Photovoltaik in virtuellen Kraftwerken zur Versorgung regionaler Elektromobilitätskonzepte. In: Strobl J, Blaschke T, Griesebner G, Zagel B (eds) Angewandte Geoinformatik 2014, Beiträge zum 26. AGIT-Symposium Salzburg, Wichmann, Berlin, 2–4 July 2014, pp 153–158
Reidelstuerz P (2012) Potential von UAV gestützten Multispektralkamerabefliegungen im Forstbereich. UAS - Tagung im Festsaal der Humboldt Graduate School, ausgerichtet durch das Projekt ADLER, gefördert durch die DBU, Berlin, 5 Mar 2012
Riedel A (2002) Einsatz der Mehrbildtriangulation zur Strukturellen Analyse von Baumpflanzen, vol 73. Lehrstuhl für Waldbau und Forsteinrichtung, Technische Universität München, Forstarchiv, pp 55–61
Theodoridou I, Karteris M, Mallinis G, Papadopoulos AM, Hegger M (2012) Assessment of retrofitting measures and solar systems’ potential in urban areas using geographical Information Systems: application to a Mediterranean city. Renew Sustain Energy Rev 16(8):6239–6261
Zink R, Dorner W, Grzemba A, Schlott M, Reidelstürz P (2012) Photovoltaik unter Aufsicht! Thermographische Kontrolle von PV-Analgen mittels GPS-gestützter Drohne. In: Angewandte Geoinformatik 2012. Beiträge zum 24. AGIT-Symposium Salzburg, Wichmann, Heidelberg, 04–06 July 2012, pp 563–568
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this chapter
Cite this chapter
Zink, R., Ramirez Camargo, L., Reidelstürz, P., Dorner, W. (2015). Photogrammetric Point Clouds for GIS-Based High-Resolution Estimation of Solar Radiation for Roof-Top Solar Systems. In: Růžičková, K., Inspektor, T. (eds) Surface Models for Geosciences. Lecture Notes in Geoinformation and Cartography. Springer, Cham. https://doi.org/10.1007/978-3-319-18407-4_24
Download citation
DOI: https://doi.org/10.1007/978-3-319-18407-4_24
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-18406-7
Online ISBN: 978-3-319-18407-4
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)