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
conference contribution
posted on 2015-06-02, 13:07 authored by Diane Palmer, Tom BettsTom Betts, Ralph GottschalgLeading 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.
History
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 SocietyVolume
1Issue
1Pages
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 SocietyVersion
- 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 paper is also available online at: http://www.pvsat.org.uk/docs/PVSAT-11_030_Palmer.pdfISBN
0904963810Publisher version
Language
- en
