Assessment of Solar Irradiance on the Urban Fabric for the Production of Renewable Energy using LIDAR Data and Image Processing Techniques

Carneiro, Claudio; Morello, Eugenio; Desthieux, Gilles

doi:10.1007/978-3-642-00318-9_5

Cited by 31 publications

(41 citation statements)

References 11 publications

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“…The selected site shown in Figure 1 is of comparable size/resolution with previous studies (Kassner et al, 2009;Carneiro et al, 2009, Bersenic et al, 2008, Kurochi et al, 2007; and has over 60 buildings to support the confidence of the novel building extraction accuracy assessment (Nguyen et al 2011, forthcoming). The site shown in Figure 1 covers about 100 buildings of high point density and from a mixture of sectoral (residential and commercial) and structural variations (flat/ garbled/ pitched).…”

Section: Methodology 31 the Choice Of Sitementioning

confidence: 66%

“…(2) where Igb , Ib (beam), shade and Idiff (diffuse) are all rasters (Wahschning & Hanitsch, 1995;Duffie & Beckman, 2001;Hantzschel et al, 2005;Jochem et al, 2009;Carneiro et al, 2009;Merino et al, 2010), the values of which can be output hourly by the script r.sun. The raster svf, on the other hand, contains time independent values.…”

Section: Insolationmentioning

confidence: 99%

“…The albedo component is negligible (Carneiro et al, 2009; except for snow albedo (Andrews & Pearce, 2011, forthcoming). It makes more sense to include this component when data is 3D and NOT 12 http://manpages.ubuntu.com/manpages/lucid/man1/r.sun.1grass.html 13 http://osgeo-org.1803224.n2.nabble.com/r-sun-and-r-horizon-td3960955.html 14 http://grass.osgeo.org/grass64/manuals/html64_user/r.horizon.html 15 http://grass.osgeo.org/grass64/manuals/html64_user/r.sun.html 2.5D (Mardazeljevic & Rylatt 2003;Compagnon, 2004).…”

Section: Shading Behaviormentioning

confidence: 99%

“…Despite (i) the ongoing interests from the public, the government and different sectors in the scientific community (architecture, meteorology, geography, engineering); (ii) the previous and existing investigations; and (iii) the 1 http://www.utc.fr/seus/ 2 http://iea-pvps-task10.org/ 3 http://www.polis-solar.eu/solar-urban-planning-in-polis/ 4 http://www.urbanclimate.net/E_2TOOLS.HTM emergence of new tools (Carneiro et al, 2009;SEUS 2010) a comprehensive and reliable toolkit for sustainable urban design is lacking among practitioners. Very few applications have been implemented to process the data for the environmental analysis and to get quick, but reasonably accurate insight into the performance of the urban morphology.…”

Section: Introductionmentioning

confidence: 99%

“…urban texture reconstruction and modeling) and spectral and meteorological performance of the urban fabric are attractive and proliferate research areas 5 . However the algorithms introduced are (i) for macro scale or for micro scale -missing the urban district in the middle (Jochem et al, 2009;Carneiro et al, 2009); (ii) site specific (Kassner et al, 2008;Barsenic et al, 2008); (iii) of strict requirements pertaining the data quality and involved expertise (Wiginton et al, 2010;Kurochi et al, 2007;Levinson et al, 2009) or (iv) vague and hence impossible to adapt elsewhere. Scaling site assessment has been one of the larger barriers and is currently accomplished manually at high cost (i.e.…”

Section: Introductionmentioning

confidence: 99%

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Incorporating shading losses in solar photovoltaic potential assessment at the municipal scale

2012

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Recently several algorithms have been developed to calculate the solar photovoltaic (PV) potential on the basis of 2.5D raster data that can capture urban morphology. This study provides a new algorithm that (i) incorporates both terrain and near surface shadowing effects on the beam component; (ii) scales down the diffuse components of global irradiation; and (iii) utilizes free and open source GRASS and the module r.sun in modeling irradiation. This algorithm is semiautomatic and easy to upgrade or correct (no hand drawn areas), open source, detailed and provides rules of thumb for PV system design at the municipal level. The workflow is pilot tested on LiDAR data for 100 buildings in downtown Kingston, Ontario. Shading behavior was considered and suitable roof sections for solar PV installations selected using a multi-criteria objective. At sub-meter resolution and small time steps the effect of occlusion from near object was determined. Annual daily horizontal irradiation values were refined at 0.55m resolution and were shown to be lower than those obtained at 90 m by 30%. The robustness of r.sun as capable of working with different levels of surface complexity has been confirmed. Finally, the trade off of each computation option (spatial resolution, time step and shading effect) has been quantified at the meso scale, to assist planners in developing the appropriate computation protocols for their regions.

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Section: Methodology 31 the Choice Of Sitementioning

confidence: 66%

Section: Insolationmentioning

confidence: 99%

Section: Shading Behaviormentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Incorporating shading losses in solar photovoltaic potential assessment at the municipal scale

2012

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Three-dimensional point cloud based sky view factor analysis in complex urban settings

Kim

Lee

et al. 2013

Int. J. Climatol.

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Quantitatively describing effects caused by trees is a challenging issue for sky view factor (SVF) studies. The complex geometrical shapes of trees and the seasonally changing canopy volume caused by leaf growth and defoliation have forced SVF users to disregard trees in their analyses or to apply a simple geometric object, such as a rectangular pole or vertically elongated ellipsoid. The three-dimensional point cloud (3DPC) method is useful for quantitative analysis of urban settings by describing the structured spatial complex in detail, not only by shape itself but also with many meaningful indices such as SVF. We here proposed a new SVF analysis method based on 3DPC. Stereoscopic projection was applied to project 3DPC on the virtual hemisphere. From intensive analysis of 3DPC SVF in a normal urban complex area, we discerned the effects caused by trees. The results showed that the tree effect derived from 3DPC SVF in an urban complex is clearly described by a comparison between two cases (trees and no trees). Trees with topography play an important role and contribute to the heat balance in an urban complex.KEY WORDS sky view factor (SVF); three-dimensional point cloud (3DPC); virtual hemisphere; stereoscopic projection; tree effect; urban complex; hemispherical 3DPC SVF; continuous 3DPC SVF

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Assessing Solar Photovoltaic Potential Using LiDAR and GIS Modeling

Zhong¹,

Tong²

2021

Handbook of Climate Change Mitigation and Adaptation

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Assessment of Solar Irradiance on the Urban Fabric for the Production of Renewable Energy using LIDAR Data and Image Processing Techniques

Cited by 31 publications

References 11 publications

Incorporating shading losses in solar photovoltaic potential assessment at the municipal scale

Incorporating shading losses in solar photovoltaic potential assessment at the municipal scale

Three-dimensional point cloud based sky view factor analysis in complex urban settings

Assessing Solar Photovoltaic Potential Using LiDAR and GIS Modeling

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