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Detection of roof shading for PV based on LiDAR data using a multi-modal approach
conference contribution
posted on 2016-01-19, 15:53 authored by Diane Palmer, Ian R. Cole, Brian Goss, Tom BettsTom Betts, Ralph GottschalgThere 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 2015Pages
? - ? (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.1753-1759Publisher
WIPVersion
- 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
2015Notes
This is a conference paper.ISBN
3936338396ISSN
2196-100XPublisher version
Language
- en