A visualization-oriented 3D method for efficient computation of urban solar radiation based on 3D-2D surface mapping

International Journal of Geographical Information Science

Volumn 28, Issue 4, 2014, Pages 780-798

  Liang, Jianming ^a,b   Gong, Jianhua ^a,c   Li, Wenhang ^a,c   Ibrahim, Abdoul Nasser ^a,c  

^a INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

^b UNIVERSITY OF CHINESE ACADEMY OF SCIENCES   (China)

^c Zhejiang CAS Application Center for Geoinformatics   (China)

Author keywords

2D raster; 3D triangular mesh; solar radiation model; surface mapping

Indexed keywords

EID: 84894268428     PISSN: 13658816     EISSN: 13623087     Source Type: Journal    
DOI: 10.1080/13658816.2014.880168     Document Type: Article

References (29)

1. Agugiaro, G., et al., 2011. Estimation of solar radiation on building roofs in mountainous areas. International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, 38 (3/W22), 155-160.
2. Bradley, C., 2007. The algebra of geometry: cartesian, areal and projective co-ordinates. Bath: Highperception.
3. Carneiro, C., et al., 2008. Solar radiation over the urban texture: LIDAR data and image processing techniques for environmental analysis at city scale. In: J. Lee and S. Zlatanova, eds. 3D geo-information sciences part II. Heidelberg: Springer, 319-340.
4. Compagnon, R., 2004. Solar and daylight availability in the urban fabric. Energy and Buildings, 36, 321-328.
5. Coutu, S., et al., 2013. Modelling wind-driven rain on buildings in urbanized area using 3-D GIS and LiDAR datasets. Building and Environment, 53, 528-525.
6. Crassin, C., 2011. GigaVoxels: a voxel-based rendering pipeline for efficient exploration of large and detailed scenes. Thesis (PhD). Université de Grenoble.
7. Dubayah, R. and Rich, P., 1995. Topographic solar radiation models for GIS. International Journal of Geographical Information Systems, 9, 405-419.
8. Fu, P. and Rich, P., 2000. The Solar Analyst 1.0 user manual [online]. Helios Environmental Modeling Institute. Available from: http://citeseerx.ist.psu.edu/viewdoc/download;jsessionid=063D78F145F3244277FE555E1BBF4AC9?doi=10.1.1.98.1271&rep=rep1&type=pdf [Accessed 20 October 2013].
9. Hofierka, J. and Kanuk, J., 2009. Assessment of photovoltaic potential in urban areas using open-source solar radiation tools. Renewable Energy, 34 (10), 2206-2214.
10. Hofierka, J. and Suri, M. 2002. The solar radiation model for Open source GIS: implementation and applications. In: Proceedings of the open source GIS-GRASS users conference 2002, 11-13 September 2002. Trento, Italy.
11. Hofierka, J. and Zlocha, M., 2012. A New 3-D solar radiation model for 3-D city models. Transactions in GIS, 16 (5), 681-690.
12. Kolivand, H. and Sunar, M., 2013. A survey of shadow volume algorithms in computer graphics. IETE Technical Review, 30, 38-46.
13. Kryza, M., et al., 2010. Spatial information on total solar radiation: application and evaluation of the r.sun model for the Wedel Jarlsberg Land, Svalbard. Polish Polar Research, 31 (1), 17-32.
14. Kumar, L., et al., 1997. Modelling topographic variation insolar radiation in a GIS environment. International Journal of Geographical Information Science, 11 (5), 475-497.
15. Laine, S. and Karras, T., 2010. Efficient sparse voxel octrees. In: Proceedings of the 2010 ACM SIGGRAPH symposium on Interactive 3D Graphics and Games. New York, NY: ACM, 55-63.
16. Levy, B., et al., 2002. Least squares conformal maps for automatic texture atlas generation. ACM Transactions on Graphics, 21 (3), 362-371.
17. Liu, M., et al., 2012. GIS-based modelling of topography-induced solar radiation variability in complex terrain for data sparse region. International Journal of Geographical Information Science, 26 (7), 1281-1308.
18. Lorenz, H. and Döllner, J., 2010. 3D feature surface properties and their application in geovisualization. Computers, Environment and Urban Systems, 34 (6), 476-483.
19. Mardaljevic, J. and Rylatt, M., 2003. Irradiation mapping of urban environments: an image-based approach. Energy and Buildings, 35, 27-35.
20. Merino, L., et al., 2010. Solar energy inputs estimation for urban scales applications. In: 8th international conference on system simulation in building, 13-15 December 2010, Liège, Belgium.
21. Nguyen, H. and Pearce, J., 2010. Estimating potential photovoltaic yield with r.sun and the open source Geographical Resources Analysis Support System. Solar Energy, 84 (5), 831-843.
22. Nguyen, H. and Pearce, J., 2012. Incorporating shading losses in solar photovoltaic potential assessment at the municipal scale. Solar Energy, 86 (5), 1245-1260.
23. Niko, L. and Borut, Z., 2013. GPU-based roofs' solar potential estimation using LiDAR data. Computers & Geosciences, 52, 34-41.
24. NVIDIA, 2004. Improve batching using texture atlases [online]. NVIDIA Corporation. Available from: http://developer.download.nvidia.com/SDK/9.5/Samples/DEMOS/Direct3D9/src/BatchingViaTextureAtlases/AtlasCreationTool/Docs/Batching_Via_Texture_Atlases.pdf [Accessed 20 October 2013].
25. NVIDIA, 2008. GeForce 8 and 9 Series GPU programming guide [online]. NVIDIA Corporation. Available from: http://developer.download.nvidia.com/GPU_Programming_Guide/GPU_Programming_Guide_G80.pdf [Accessed 20 October 2013].
26. Rigollier, C., et al., 2000. On the clear sky model of the ESRA, European solar radiation atlas, with respect to the Heliosat method. Solar Energy, 68, 33-48.
27. Scherzer, D., et al., 2011. A survey of real-time hard shadow mapping methods. Computer Graphics Forum, 30 (1), 169-186.
28. Tsai, F. and Lin, H., 2007. Polygon-based texture mapping for cyber city 3D building models. International Journal of Geographical Information Science, 21 (9), 965-981.
29. Yasumoto, S., et al., 2012. Virtual city models for assessing environmental equity of access to sunlight: a case study of Kyoto, Japan. International Journal of Geographical Information Science, 26 (1), 1-13.