Locating suitable roofs for utilization of solar energy in downtown area using airborne LiDAR data and object-based method: A case study of the Lujiazui region, Shanghai

Proceedings of the 2nd International Workshop on Earth Observation and Remote Sensing Applications, EORSA 2012

Volumn , Issue , 2012, Pages 322-326

  Huang, Yan ^a   Yu, Bailang ^a   Hu, Zhiming ^a   Wu, Jianping ^a   Wu, Bin ^a  

^a East China Normal University   (China)

Author keywords

LiDAR; object based method; roof planes; solar panels; urban 3D morphology

Indexed keywords

3D MORPHOLOGY; AIRBORNE LIDAR DATA; AUTOMATED EXTRACTION; BUILDING FOOTPRINT; CLEAN ENERGY; COMPREHENSIVE EVALUATION; ENVIRONMENTAL POLLUTIONS; EXTENSION MODULE; LOCATION DECISIONS; OBJECT-BASED METHODS; POTENTIAL ANALYSIS; RESEARCH COMMUNITIES; SOLAR PANELS; SOLAR RADIATION INTENSITY; THREE DIMENSIONAL MORPHOLOGY; URBAN AREAS;

MORPHOLOGY; OBSERVATORIES; OPTICAL RADAR; REMOTE SENSING; RESEARCH; SOLAR CONCENTRATORS; SOLAR RADIATION; SUN;

ROOFS;

EID: 84866781030     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/EORSA.2012.6261192     Document Type: Conference Paper

References (18)

1. L. K. Wiginton, H. T. Nguyen, and J. M. Pearce, "Quantifying rooftop solar photovoltaic potential for regional renewable energy policy," Computers Environment and Urban Systems, vol. 34(4), 2010, pp. 345-357.
2. T. V. Ramachandra and B. V. Shruthi, "Spatial mapping of renewable energy potential," Renewable and Sustainable Energy Reviews, vol. 11(7), 2007, pp. 1460-1480.
3. S. R. Bull, "Renewable energy today and tomorrow," Proceedings of the Ieee, vol. 89(8), 2001, pp. 1216-1226.
4. K. H. Solangi, M. R. Islam, R. Saidur, N. A. Rahim, and H. Fayaz, "A review on global solar energy policy," Renewable & Sustainable Energy Reviews, vol. 15(4), 2011, pp. 2149-2163.
5. M. A. Hassan and Y. Beliveau, "Design, construction and performance prediction of integrated solar roof collectors using finite element analysis," Construction and Building Materials, vol. 21(5), 2007, pp. 1069-1078.
6. S. Gadsden, M. Rylatt, K. Lomas, and D. Robinson, "Predicting the urban solar fraction: a methodology for energy advisers and planners based on GIS," Energy and Buildings, vol. 35(1), 2003, pp. 37-48.
7. R. Vardimon, "Assessment of the potential for distributed photovoltaic electricity production in Israel," Renewable Energy, vol. 36(2), 2011, pp. 591-594.
8. J. Hofierka and J. Kanuk, "Assessment of photovoltaic potential in urban areas using open-source solar radiation tools," Renewable Energy, vol. 34(10), 2009, pp. 2206-2214.
9. M. Rylatt, S. Gadsden, and K. Lomas, "GIS-based decision support for solar energy planning in urban environments," Computers, Environment and Urban Systems, vol. 25(6), 2001, pp. 579-603.
10. B. L. Yu, H. X. Liu, J. P. Wu, and W. M. Lin, "Investigating impacts of urban morphology on spatio-temporal variations of solar radiation with airborne LIDAR data and a solar flux model: a case study of downtown Houston," International Journal of Remote Sensing, vol. 30(17), 2009, pp. 4359-4385.
11. B. L. Yu, H. X. Liu, J. P. Wu, Y. J. Hu, and L. Zhang, "Automated derivation of urban building density information using airborne LiDAR data and object-based method," Landscape and Urban Planning, vol. 98(3-4), 2010, pp. 210-219.
12. M. Hollaus, W. Wanger, B. Nmaier, and K. Schadauer, "Airborne laser scanning of forest stem volume in a mountainous environment," Sensors, vol. 7(8), 2007. pp. 1559-1577.
13. A. Jochem, B. Hofle, M. Rutzinger, and N. Pfeifer, "Automatic Roof Plane Detection and Analysis in Airborne Lidar Point Clouds for Solar Potential Assessment," Sensors, vol. 9(7), 2009, pp. 5241-5262.
14. Y. Feng, R Guo, and Y. Cheng, "Research on three dimentional city model reconstruction based on LiDAR," Geomatics & Spatial Information Technology, vol. 31(4), 2008, pp. 8-11.
15. K. Q. Zhang, S. C. Chen, D. Whitman, M. L. Shyu, J. H. Yan, and C. C. Zhang, "A progressive morphological filter for removing nonground measurements from airborne LIDAR data," IEEE Transactions on Geoscience and Remote Sensing, vol. 41(4), 2003, pp. 872-882.
16. L. Kumar, A. K. Skidmore, and E. Knowles, "Modelling topographic variation in solar radiation in a GIS environment," International Journal of Geographical Information Science, vol. 11(5), 1997, pp. 475-497.
17. Z. M. Hu, J. P. Wu, B. Wu, S. Shu, and B. L. Yu, "Simulating and Mapping the Variations of Solar Radiation at the Lujiazui Region of Shanghai Using Airborne LiDAR Data," Key Engineering Materials, vol. 500, 2012, pp. 511-516.
18. A. Chaves and A. T. Bahill, "Locating Sites for Photovoltaic Solar Panels," ArcUser, vol. 13(4), 2010, pp. 24-27.