Buildings roofs photovoltaic potential assessment based on LiDAR (Light Detection And Ranging) data

Energy

Volumn 66, Issue , 2014, Pages 598-609

  Lukač, Niko ^a,b   Seme, Sebastijan ^a   Žlaus, Danijel ^a,b   Štumberger, Gorazd ^a,c   Žalik, Borut ^a,b  

^a UNIVERSITY OF MARIBOR   (Slovenia)

^b Laboratory for Geometric Modeling and Multimedia Algorithms   (Slovenia)

^c Power Engineering Laboratory   (Slovenia)

Author keywords

LiDAR (Light Detection And Ranging) data; Photovoltaic potential; Photovoltaic systems; Solar energy

Indexed keywords

PHOTOVOLTAIC CELLS; ROOFS; SOLAR ENERGY; ELECTRIC INVERTERS; SOLAR POWER GENERATION;

DIFFUSE IRRADIANCE MEASUREMENTS; EFFICIENCY CHARACTERISTIC; ELECTRICAL ENERGY; LIDAR (LIGHT DETECTION AND RANGING); PHOTOVOLTAIC POTENTIALS; PHOTOVOLTAIC SYSTEMS; POTENTIAL ESTIMATION; SOLAR IRRADIANCES;

OPTICAL RADAR;

ACCURACY ASSESSMENT; BUILDING; DATA ACQUISITION; ELECTRICITY GENERATION; ESTIMATION METHOD; LIDAR; PHOTOVOLTAIC SYSTEM; ROOF; SOLAR POWER; SOLAR RADIATION; AUTOMATION; BUILDING CODE; ENERGY EFFICIENCY; IRRADIANCE; NONLINEARITY; NUMERICAL MODEL; URBAN AREA;

EID: 84896391254     PISSN: 03605442     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.energy.2013.12.066     Document Type: Article

References (60)

1. Lewis N.S. Toward cost-effective solar energy use. Science 2007, 315(5813):798-801.
2. Eltawil M.A., Zhao Z. Grid-connected photovoltaic power systems: technical and potential problems - A review. Renew Sustain Energy Rev 2010, 14(1):112-129.
3. Singh G.K. Solar power generation by PV (photovoltaic) technology: a review. Energy 2003, 53:1-13.
4. Bugler J.W. The determination of hourly insolation on an inclined plane using a diffuse irradiance model based on hourly measured global horizontal insolation. Sol Energy 1977, 19(5):477-491.
5. Willmot C.J. On the climatic optimization of the tilt and azimuth of flat-plate solar collectors. Sol Energy 1982, 28(3):205-216.
6. Perez R., Seals R., Ineichen P., Stewart R., Menicucci D. Anew simplified version of the perez diffuse irradiance model for tilted surfaces. Sol Energy 1987, 39(3):221-231.
7. Perez R., Ineichen P., Moore K., Kmiecik M., Chain C., George R., et al. Anew operational model for satellite-derived irradiances: description and validation. Sol Energy 2002, 73(5):307-317.
8. Robinson D., Stone A. Solar radiation modelling in the urban context 2004. Sol energy 2004, 77(3):295-309.
9. Šúri M., Hofierka J. Anew GIS-based solar radiation model and its application to photovoltaic assessments. Trans GIS 2004, 8(2):175-190.
10. Arboit M., Diblasi A., Fernández Llano J.C., De Rosa C. Assessing the solar potential of low-density urban environments in Andean cities with desert climates: the case of the city of Mendoza, in Argentina. Renew Energy 2008, 33(8):1733-1748.
11. Pandey C.K., Katiyar A.K. Anote on diffuse solar radiation on a tilted surface. Energy 2009, 34(11):1764-1769.
12. Tapiador F.J. Assessment of renewable energy potential through satellite data and numerical models. Energy Environ Sci 2009, 11:1142-1161.
13. Coskun C., Oktay Z., Dincer I. Estimation of monthly solar radiation distribution for solar energy system analysis. Energy 2011, 3(2):1319-1323.
14. Linares-Rodríguez A., Ruiz-Arias J.A., Pozo-Vázquez D., Tovar-Pescador J. Generation of synthetic daily global solar radiation data based on ERA-interim reanalysis and artificial neural networks. Energy 2011, 36(8):5356-5365.
15. Li H., Bu X., Long Z., Zhao L., Ma W. Calculating the diffuse solar radiation in regions without solar radiation measurements. Energy 2012, 44(1):611-615.
16. Notton G., Paoli C., Vasileva S., Nivet M.L., Canaletti J.L., Cristofari C. Estimation of hourly global solar irradiation on tilted planes from horizontal one using artificial neural networks. Energy 2012, 39(1):166-179.
17. Demain C., Journée M., Bertrand C. Evaluation of different models to estimate the global solar radiation on inclined surfaces. Renew Energy 2013, 50:710-721.
18. Khalil S.A., Shaffie A.M. Acomparative study of total, direct and diffuse solar irradiance by using different models on horizontal and inclined surfaces for Cairo, Egypt. Renew Sustain Energy Rev 2013, 27:853-863.
19. Li D.H., Chau N.T., Wan K.K. Predicting daylight illuminance and solar irradiance on vertical surfaces based on classified standard skies. Energy 2013, 53:252-258.
20. Aste N., Del Pero C., Leonforte F., Manfren M. Asimplified model for the estimation of energy production of PV systems. Energy 2013, 59:503-512.
21. Khorasanizadeh H., Mohammadi K. Introducing the best model for predicting the monthly mean global solar radiation over six major cities of Iran. Energy 2013, 51(1):257-266.
22. Kisi O. Modeling solar radiation of Mediterranean region in Turkey by using fuzzy genetic approach. Energy 2014, 64:429-436.
23. Linares-Rodriguez A., Ruiz-Arias J.A., Pozo-Vazquez D., Tovar-Pescador J. An artificial neural network ensemble model for estimating global solar radiation from Meteosat satellite images. Energy 2013, 61:636-645.
24. Moradi I., Mueller R., Perez R. Retrieving daily global solar radiation from routine climate variables. Theor Appl Climatol 2013, 1-9.
25. Petrie G., Toth C.K. Airborne and spaceborne laser profilers and scanners. Topographic laser ranging and scanning: principles and processing 2008, 29-86. CRC Press. J. Shan, C.K. Toth (Eds.).
26. 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. Sol Energy 2008, 82(10):929-939.
27. Yu B., Liu H., Wu J., Lin W.M. 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. Int J Remote Sens 2009, 30(17):4359-4385.
28. Jochem A., Höfle B., Rutzinger M., Pfeifer N. Automatic roof plane detection and analysis in airborne lidar. Sensors 2009, 9(7):5241-5262.
29. Levinson R., Akbari H., Pomerantz M., Gupta S. Solar access of residential rooftops in four California cities. Sol Energy 2009, 83(12):2120-2135.
30. Hofierka J., Kaňuk J. Assessment of photovoltaic potential in urban areas using open-source solar radiation tools. Renew Energy 2009, 34(10):2206-2214.
31. Wiginton L.K., Nguyen H.T., Pearce J.M. Quantifying rooftop solar photovoltaic potential for regional renewable energy policy. Comput Environ Urban Syst 2010, 34(4):345-357.
32. Şenkal O. Modeling of solar radiation using remote sensing and artificial neural network in Turkey. Energy 2010, 35(12):4795-4801.
33. Tooke T.R., Coops N.C., Voogt J.A., Meitner M.J. Tree structure influences on rooftop-received solar radiation. Landsc Urban Plan 2011, 102(2):73-81.
34. Bergamasco L., Asinari P. Scalable methodology for the photovoltaic solar energy potential assessment based on available roof surface area: application to Piedmont Region (Italy). Sol Energy 2011, 85(5):1041-1055.
35. Jochem A., Höfle B., Rutzinger M. Extraction of vertical walls from mobile laser scanning data for solar potential assessment. Remote Sens 2011, 3(4):650-667.
36. Tooke T.R., Coops N.C., Christen A., Gurtuna O., Prévot A. Integrated irradiance modelling in the urban environment based on remotely sensed data. Sol Energy 2012, 86(10):2923-2934.
37. Hofierka J., Zlocha M. Anew 3-D solar radiation model for 3-D city models. Trans GIS 2012, 16(5):681-690.
38. Redweik P., Catita C., Brito M. Solar energy potential on roofs and facades in an urban landscape. Sol Energy 2013, 97:332-341.
39. Nguyen H.T., Pearce J.M., Harrap R., Barger G. The application of LiDAR to assessment of rooftop solar photovoltaic deployment potential in a municipal district unit. Sensors 2012, 12(4):4534-4558.
40. Nguyen H.T., Pearce J.M. Incorporating shading losses in solar photovoltaic potential assessment at the municipal scale. Sol Energy 2012, 86(5):1245-1260.
41. Brito M.C., Gomes N., Santos T., Tenedório J.A. Photovoltaic potential in a Lisbon suburb using LiDAR data. Sol Energy 2012, 86(1):283-288.
42. Strzalka A., Alam N., Duminil E., Coors V., Eicker U. Large scale integration of photovoltaics in cities. Appl Energy 2012, 93:413-421.
43. Ruiz-Arias J.A., Terrados J., Pérez-Higueras P., Pozo-Vázquez D., Almonacid G. Assessment of the renewable energies potential for intensive electricity production in the province of Jaén, southern Spain. Renew Sustain Energy Rev 2012, 16(5):2994-3001.
44. Lukač N., Žlaus D., Seme S., Žalik B., Štumberger G. Rating of roofs' surfaces regarding their solar potential and suitability for PV systems, based on LiDAR data. Appl Energy 2013, 102:803-812.
45. Jakubiec J.A., Reinhart C.F. Amethod for predicting city-wide electricity gains from photovoltaic panels based on LiDAR and GIS data combined with hourly daysim simulations. Sol Energy 2013, 93:127-143.
46. Nguyen H.T., Pearce J.M. Automated quantification of solar photovoltaic potential in cities. IRSPSD International 2013, 1(1):57-70.
47. Kucuksari S., Khaleghi A.M., Hamidi M., Zhang Y., Szidarovszky F., Bayraksan G., et al. An integrated GIS, optimization and simulation framework for optimal PV size and location in campus area environments. Appl Energy 2014, 113:1601-1613.
48. Green M.A., Emery K., Hishikawa Y., Warta W., Dunlop E.D. Solar cell efficiency tables (version 39). Prog Photovoltaics Res Appl 2012, 20(1):12-20.
49. Notton G., Lazarov V., Stoyanov L. Optimal sizing of a grid-connected PV system for various PV module technologies and inclinations, inverter efficiency characteristics and locations. Renew Energy 2010, 35(2):541-554.
50. Lam K.H., Lai T.M., Lo W.C., To W.M. The application of dynamic modelling techniques to the grid-connected PV (photovoltaic) systems. Energy 2012, 46(1):264-274.
51. Hohm D.P., Ropp M.E. Comparative study of maximum power point tracking algorithms. Prog Photovoltaics Res Appl 2003, 11(1):47-62.
52. Esram T., Chapman P.L. Comparison of photovoltaic array maximum power point tracking techniques. IEEE Trans Energy Convers 2007, 22(2):439-449.
53. Heinzel J., Koch B. Exploring full-waveform LiDAR parameters for tree species classification. Int J Appl Earth Obs Geoinform 2011, 13(1):152-160.
54. Mongus D., Žalik B. Parameter-free ground filtering of LiDAR data for automatic DTM generation. ISPRS J Photogramm Remote Sens 2012, 67:1-12.
55. Duffie J.A., Beckman W.A. Solar engineering of thermal processes 2006, Wiley-Interscience.
56. Reda I., Andreas A. Solar position algorithm for solar radiation applications. Sol Energy 2004, 76(5):577-589.
57. Yuan H., Dai Y., Xiao Z., Ji D., Shangguan W. Reprocessing the MODIS leaf area index products for land surface and climate modelling. Remote Sens Environ 2011, 115(5):1171-1187.
58. Sinoquet H., Stephan J., Sanohat G., Lauri P.E., Monney P. Simple equations to estimate light interception by isolated trees from canopy structure features: assessment with three-dimensional digitized apple trees. New Phytol 2007, 175(1):94-106.
59. Durisch W., Bitnar B., Mayor J., Kiess H., Lam K., Close J. Efficiency model for photovoltaic modules and demonstration of its application to energy yield estimation. Sol Energy Mater Sol Cells 2007, 91(1):79-84.
60. Jordan D.C., Kurtz S.R. Photovoltaic degradation rates - an analytical review. Prog Photovoltaics Res Appl 2013, 21(1):12-29.