Applications of solar mapping in the urban environment

Applied Geography

Volumn 51, Issue , 2014, Pages 48-57

  Santos, T ^a   Gomes, N ^b   Freire, S ^a   Brito, M C ^c   Santos, L ^b   Tenedorio J A ^a  

^a UNIVERSIDADE NOVA DE LISBOA   (Portugal)

^b INSTITUTO SUPERIOR TÉCNICO   (Portugal)

^c UNIVERSITY OF LISBON   (Portugal)

Author keywords

GIS; LiDAR; Photovoltaic potential; Solar radiation; Urban

Indexed keywords

GEOGRAPHICAL DISTRIBUTION; GIS; LIDAR; PHOTOVOLTAIC SYSTEM; REMOTE SENSING; SOLAR RADIATION; URBAN ATMOSPHERE;

LISBOA [PORTUGAL]; LISBON; PORTUGAL;

EID: 84898835110     PISSN: 01436228     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.apgeog.2014.03.008     Document Type: Article

References (49)

1. Bergamasco L., Asinari P. Scalable methodology for the photovoltaic solar energy potential assessment based on available roof surface area: further improvements by ortho-image analysis and application to Turin (Italy). Solar Energy 2011, 85(11):2741-2756. 10.1016/j.solener.2011.08.010.
2. Brédif M., Tournaire O., Vallet B., Champion N. Extracting polygonal building footprints from digital surface models: a fully-automatic global optimization framework. ISPRS Journal of Photogrammetry and Remote Sensing 2013, 77:57-65. 10.1016/j.isprsjprs.2012.11.007.
3. Brito M.C., Gomes N., Santos T., Tenedório J.A. Photovoltaic potential in a Lisbon suburb using LiDAR data. Solar Energy 2012, 86(1):283-288. 10.1016/j.solener.2011.09.031.
4. Carneiro C., Morello E., Desthieux G. Assessment of solar irradiance on the urban fabric for the production of renewable energy using LIDAR data and image processing techniques. Advances in GIScience 2009, 83-112. Springer, Berlin Heidelberg, Retrieved fromhttp://link.springer.com/chapter/10.1007/978-3-642-00318-9_5. P.M. Sester, P.L. Bernard, P.V. Paelke (Eds.).
5. Cellura M., Di Gangi A., Longo S., Orioli A. Photovoltaic electricity scenario analysis in urban contests: an Italian case study. Renewable and Sustainable Energy Reviews 2012, 16(4):2041-2052. 10.1016/j.rser.2012.01.032.
6. Cheng V. Understanding density and high density. Designing high-density cities for social and environmental sustainability 2009, 3-16. Earthscan, London. E. Ng (Ed.).
7. EEA (European Environment Agency) Urban Atlas 2013, Retrieved from. http://www.eea.europa.eu/data-and-maps/data/urban-atlas.
8. Eicher C.L., Brewer C.A. Dasymetric mapping and areal interpolation: implementation and evaluation. Cartography and Geographic Information Science 2001, 28(2):125-138. 10.1559/152304001782173727.
9. Ferreira J., Pinheiro M. In search of better energy performance in the Portuguese buildings-the case of the Portuguese regulation. Energy Policy 2011, 39(12):7666-7683. 10.1016/j.enpol.2011.08.062.
10. Fu P., Rich P.M. Design and implementation of the Solar Analyst: an ArcView extension for modeling solar radiation at landscape scales. Presented at the IX Annual ESRI User Conference, San Diego, California 1999, Retrieved fromhttp://proceedings.esri.com/library/userconf/proc99/proceed/papers/pap867/p867.htm.
11. Gadsden S., Rylatt M., Lomas K., Robinson D. Predicting the urban solar fraction: a methodology for energy advisers and planners based on GIS. Energy and Buildings 2003, 35(1):37-48. 10.1016/S0378-7788(02)00078-6.
12. Gamba P., Houshmand B. Joint analysis of SAR, LIDAR and aerial imagery for simultaneous extraction of land cover, DTM and 3D shape of buildings. International Journal of Remote Sensing 2002, 23(20):4439-4450. 10.1080/01431160110114952.
13. Gomes N. Integração de Dados Lidar com Imagens de Muito Alta Resolução Espacial para Determinação de Áreas Urbanas com Potencial Solar 2011, MSc Thesis, New University of Lisbon, Portugal.
14. Haala N., Kada M. An update on automatic 3D building reconstruction. ISPRS Journal of Photogrammetry and Remote Sensing 2010, 65(6):570-580. 10.1016/j.isprsjprs.2010.09.006.
15. Hill J.M., Graham L.A., Henry R.J., Cotter D.M., Ding A., Young D. Wide area topographic mapping and applications using airborne light detection and ranging (LIDAR) technology. Photogrammetric Engineering & Remote Sensing 2000, 66(8):908-914.
16. Hofierka J., Kaňuk J. Assessment of photovoltaic potential in urban areas using open-source solar radiation tools. Renewable Energy 2009, 34(10):2206-2214. 10.1016/j.renene.2009.02.021.
17. INE (Instituto Nacional de Estatística) Recenseamento Geral da População e da Habitação 2001, Lisboa. Retrieved from http://www.ine.pt/.
18. INE (Instituto Nacional de Estatística) Censos 2011 Resultados Definitivos - Portugal 2011, Retrieved from. http://www.ine.pt/.
19. Izquierdo S., Rodrigues M., Fueyo N. Amethod for estimating the geographical distribution of the available roof surface area for large-scale photovoltaic energy-potential evaluations. Solar Energy 2008, 82(10):929-939. 10.1016/j.solener.2008.03.007.
20. Jochem A., Hofle B., Hollaus M., Rutzinger M. Object detection in airborne LIDAR data for improved solar radiation modeling in urban areas. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Science 2009, Vol. XXXVIII, Part 3/W8. France, Paris.
21. JRC, Joint Research Center, EU Solar radiation (Europe) in PVGIS 2010, Available at, assessed in December, 2013. http://iamest.jrc.it/pvgis/solres/solrespvgis.htm#Comparison.
22. Kaartinen H., Hyyppä J. Evaluation of building extraction. EuroSDR-European Spatial Data Research Official Publication 2006, 50:9-77. Retrieved from. http://www.eurosdr.net/publications/50.pdf.
23. Kaartinen H., Hyyppä J., Gülch E., Vosselman G., Hyyppä H., Matikainen L., et al. Accuracy of 3D City Models: EuroSDR comparison. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 2005, Vol. XXXVI:227-232. Eschede, the Netherlands.
24. Kassner R., Koppe W., Schüttenberg T., Bareth G. Analysis of the solar potential of roofs by using official Lidar data. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Science 2008, Vol. XXXVII, Part B4. Beijing, China.
25. Kodysh J.B., Omitaomu O.A., Bhaduri B.L., Neish B.S. Methodology for estimating solar potential on multiple building rooftops for photovoltaic systems. Sustainable Cities and Society 2013, 8:31-41. 10.1016/j.scs.2013.01.002.
26. Kourtit K., Nijkamp P., Reid N. The new urban world: challenges and policy. Applied Geography 2014, 49:1-3. 10.1016/j.apgeog.2014.01.007.
27. Lamie R.D., Campbell W., Molnar W. The fiscal-geographic nexus: an overview of fiscal impact assessment in local policy development. Applied Geography 2012, 32(1):54-60. 10.1016/j.apgeog.2010.07.007.
28. Lund H. Renewable energy strategies for sustainable development. Energy 2007, 32(6):912-919. 10.1016/j.energy.2006.10.017.
29. Macintosh A., Wilkinson D. Searching for public benefits in solar subsidies: a case study on the Australian government's residential photovoltaic rebate program. Energy Policy 2011, 39(6):3199-3209. 10.1016/j.enpol.2011.03.007.
30. Moreira J.M., Nex F., Agugiaro G., Remondinoc F., Lima N.J. From DSM to 3D building models: a quantitative evaluation. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 2013, Vol. XL-1/W1:213-219. Germany, Hannover.
31. Mourmouris J.C., Potolias C. Amulti-criteria methodology for energy planning and developing renewable energy sources at a regional level: a case study Thassos, Greece. Energy Policy 2013, 52:522-530. 10.1016/j.enpol.2012.09.074.
32. Ordóñez J., Jadraque E., Alegre J., Martínez G. Analysis of the photovoltaic solar energy capacity of residential rooftops in Andalusia (Spain). Renewable and Sustainable Energy Reviews 2010, 14(7):2122-2130. 10.1016/j.rser.2010.01.001.
33. PORDATA (Base de Dados Portugal Contemporâneo) Consumo de energia elétrica 2013, Retrieved from. http://www.pordata.pt/.
34. RCCTE - Regulamento das Características de Comportamento Térmico dos Edifícios Decreto-Lei 80/2006 de 4 Abril, inserted in the transposition of the EU directive 2002/91/CE 2006.
35. Redweik P., Catita C., Brito M. Solar energy potential on roofs and facades in an urban landscape. Solar Energy 2013, 97:332-341. 10.1016/j.solener.2013.08.036.
36. Rottensteiner F., Trinder J., Clode S., Kubik K. Building detection using LIDAR data and multi-spectral images. Seventh digital image computing: techniques and applications 2003, Australia, Sydney. C. Sun, H. Talbot, S. Ourselin, T. Adriaansen (Eds.).
37. Rottensteiner F., Trinder J., Clode S., Kubik K.K.T. Automated delineation of roof planes from LIDAR data. Proceedings of the ISPRS Workshop Laser scanning 2005 2005, Vol. XXXVI, Part 3. Enschede, The Netherlands.
38. Ruiz-Arias J.A., Tovar-Pescador J., Pozo-Vázquez D., Alsamamra H. Acomparative analysis of DEM-based models to estimate the solar radiation in mountainous terrain. International Journal of Geographical Information Science 2009, 23(8):1049-1076. 10.1080/13658810802022806.
39. Rylatt M., Gadsden S., Lomas K. GIS-based decision support for solar energy planning in urban environments. Computers, Environment and Urban Systems 2001, 25(6):579-603. 10.1016/S0198-9715(00)00032-6.
40. Santos T. Producing geographical information for land planning using VHR Data. Local Scale Applications 2011, LAP LAMBERT Academic Publishing GmbH & Co.KG.
41. Santos T., Freire S., Rodrigues A.M., Gomes N., Brito, Tenedório J.A. Creating Web-based solar maps: mapping applications based on LiDAR data. Proceedings of Seventh International Conference on Virtual Cities and Territories 2011, 555-560. Lisbon, Portugal. N.N. Pinto, J.A. Tenedório, M. Santos, R. Deus (Eds.).
42. Solangi K.H., Islam M.R., Saidur R., Rahim N.A., Fayaz H. Areview on global solar energy policy. Renewable and Sustainable Energy Reviews 2011, 15(4):2149-2163. 10.1016/j.rser.2011.01.007.
43. Šúri M., Huld T.A., Dunlop E.D. PV-GIS: a web-based solar radiation database for the calculation of PV potential in Europe. International Journal of Sustainable Energy 2005, 24(2):55-67. 10.1080/14786450512331329556.
44. Šúri M., Huld T.A., Dunlop E.D., Ossenbrink H.A. Potential of solar electricity generation in the European Union member states and candidate countries. Solar Energy 2007, 81(10):1295-1305. 10.1016/j.solener.2006.12.007.
45. Swan L.G., Ugursal V.I. Modeling of end-use energy consumption in the residential sector: a review of modeling techniques. Renewable and Sustainable Energy Reviews 2009, 13(8):1819-1835. 10.1016/j.rser.2008.09.033.
46. Tack F., Buyuksalih G., Goossens R. 3D building reconstruction based on given ground plan information and surface models extracted from spaceborne imagery. ISPRS Journal of Photogrammetry and Remote Sensing 2012, 67:52-64. 10.1016/j.isprsjprs.2011.10.003.
47. Vögtle T., Steinle E., Tóvári D. Airborne Laserscanning Data for determination of suitable areas for photovoltaics. Proceedings of the ISPRS Workshop Laser scanning 2005 2005, Vol. XXXVI, Part 3. Enschede, The Netherlands.
48. Wallenborn G. The enrolment of consumers in smart grids. Proceedings of Conference STS Perspectives on Energy, Lisbon, Portugal 2013.
49. Wiginton L.K., Nguyen H.T., Pearce J.M. Quantifying rooftop solar photovoltaic potential for regional renewable energy policy. Computers, Environment and Urban Systems 2010, 34(4):345-357. 10.1016/j.compenvurbsys.2010.01.001.