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Detection of roof shading for PV based on LiDAR data using a multi-modal approach

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conference contribution
posted on 19.01.2016 by Diane Palmer, Ian R. Cole, Brian Goss, Tom Betts, Ralph Gottschalg
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.

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Published in

EU PVSEC 2015

Pages

? - ? (7)

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

Publisher

WIP

Version

AM (Accepted Manuscript)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Publication date

2015

Notes

This is a conference paper.

ISBN

3936338396

ISSN

2196-100X

Language

en

Location

Hamburg

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