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Title: Assessment of potential for photovoltaic roof installations by extraction of roof tilt from LiDAR data and aggregation to census geography
Authors: Palmer, Diane
Cole, Ian R.
Betts, Thomas R.
Gottschalg, Ralph
Issue Date: 2016
Publisher: Institution of Engineering and Technology (IET)
Citation: PALMER, D. ... et al, 2016. Assessment of potential for photovoltaic roof installations by extraction of roof tilt from LiDAR data and aggregation to census geography. IET Renewable Power Generation, 10 (4), pp. 467-473
Abstract: Large-scale adoption of solar photovoltaics (PV) in the built environment requires automation of roof suitability surveying over large geographical areas. Furthermore, as local PV installation density increases, electricity network operators require clearer information on the overall impact the large number of different rooftop PV systems will have on the stability of the local network. Knowledge of roof features (tilt angle, azimuth angle, area) and localised in-plane irradiance data is essential to meet both of these requirements. Such information is currently not available (except by individual roof surveying by PV consultants) and has to be generated. This paper demonstrates the automated extraction of building roof plane characteristics from existing wide-area, aircraft-based LiDAR (Light Detection and Ranging) data. These characteristics are then aggregated statistically and scaled-up to produce a UK-wide map of average roof tilt variation. Validation of roof tilt with site measurements taken by four different methods demonstrates a mean absolute error of 3 degrees. For major roof plane azimuth angles, banded into compass octants, accurate detection was achieved in 100% of cases, validated by inspection of aerial photography. This is sufficient for calculating in-plane irradiance for a more detailed automated assessment.
Description: This is an Open Access article published by IET and made available under the terms of the Creative Commons Attribution Licence, (http://creativecommons.org/licenses/by/3.0/).
Version: Published
DOI: 10.1049/iet-rpg.2015.0388
URI: https://dspace.lboro.ac.uk/2134/20065
Publisher Link: http://dx.doi.org/10.1049/iet-rpg.2015.0388
ISSN: 1752-1424
Appears in Collections:Published Articles (Mechanical, Electrical and Manufacturing Engineering)

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