Diane_Palmer_PVSAT_2015.pdf (289.83 kB)

Assessment of potential for photovoltaic roof installations by extraction of roof slope from lidar data and aggregation to census geography

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conference contribution
posted on 02.06.2015 by Diane Palmer, Tom Betts, Ralph Gottschalg
Leading topics in PV research include field performance and grid impact. A national understanding of roof features (slope, orientation, area) is essential for modelling the timing of PV installation scenarios with their associated irradiance data. However, such information is not currently available. This paper demonstrates the extraction of building characteristics from LIDAR (Light Detection and Ranging) data. These characteristics are then aggregated and scaled-up to produce a UK-wide map of PV potential, based on suitable roof tilts and azimuths.
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School

  • Mechanical, Electrical and Manufacturing Engineering

Research Unit

  • Centre for Renewable Energy Systems Technology (CREST)

Published in

PVSAT-11 PVSAT-11, Conference C97 of the Solar Energy Society

Volume

1

Issue

1

Pages

165 - 165 (1)

Citation

PALMER, D., BETTS, T.R. and GOTTSCHALG, R., 2015. Assessment of potential for photovoltaic roof installations by extraction of roof slope from lidar data and aggregation to census geography. Hutchins, M. and Cole, A. (eds). 11th Photovoltaic Science, Applications and Technology Conference C97: PVSAT-11, University of Leeds, Leeds, UK, 15th-17th April 2015.

Publisher

© The Solar Energy Society

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 paper is also available online at: http://www.pvsat.org.uk/docs/PVSAT-11_030_Palmer.pdf

ISBN

0904963810

Language

en

Location

Leeds

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