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|Title: ||Detection of roof shading for PV based on LiDAR data using a multi-modal approach|
|Authors: ||Palmer, Diane|
Cole, Ian R.
Betts, Thomas R.
|Issue Date: ||2015|
|Citation: ||PALMER, D. ... et al, 2015. Detection of roof shading for PV based on LiDAR data using a multi-modal approach. EU PVSEC 2015, Hamburg, 6th November 2015, pp.1753-1759|
|Abstract: ||There is a current drive to increase rooftop deployment of PV. Suitable roofs need to be located, especially as regards shading. A shadow cast on one small section of a solar panel can disproportionately undermine output of the entire system. Nevertheless, few shading figures are available to researchers and developers. This paper reviews and categorizes a number of methods of determining shade losses on photovoltaic systems. Two existing methods are tested on case study areas: shadow simulation from buildings and ambient occlusion. The first is conceptually simple and was found to be useful where data is limited. The second is slightly more demanding in terms of data input and mathematical models. It produces attractive shadow maps but is intended for speed and represents an approximation to ray-tracing. Accordingly, a new model was developed which is fast, flexible and accurately models solar radiation.|
|Description: ||This is a conference paper.|
|Version: ||Accepted for publication|
|Publisher Link: ||http://dx.doi.org/10.4229/EUPVSEC20152015-5CO.14.2|
|Appears in Collections:||Conference Papers and Contributions (Mechanical, Electrical and Manufacturing Engineering)|
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