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A GIS-based method for identification of wide area rooftop suitability for minimum size PV systems using LiDAR data and photogrammetry

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posted on 11.01.2019 by Diane Palmer, Elena Koumpli, Ian R. Cole, Ralph Gottschalg, Tom Betts
Knowledge of roof geometry and physical features is essential for evaluation of the impact of multiple rooftop solar photovoltaic (PV) system installations on local electricity networks. The paper starts by listing current methods used and stating their strengths and weaknesses. No current method is capable of delivering accurate results with publicly available input data. Hence a different approach is developed, based on slope and aspect using aircraft-based Light Detection and Ranging (LiDAR) data, building footprint data, GIS (Geographical Information Systems) tools, and aerial photographs. It assesses each roof’s suitability for PV deployment. That is, the characteristics of each roof are examined for fitting of at least a minimum size solar power system. In this way the minimum potential solar yield for region or city may be obtained. Accuracy is determined by ground-truthing against a database of 886 household systems. This is the largest validation of a rooftop assessment method to date. The method is flexible with few prior assumptions. It can generate data for various PV scenarios and future analyses.

Funding

This work has been executed as part of the research projects ‘Joint UK-India Clean Energy Centre (JUICE)’ and ‘PV2025—Potential Costs and Benefits of Photovoltaic for UK Infrastructure and Society’ which are funded by the RCUK’s Energy Programme (contract No: EP/P003605/ and contract No: 1EP/K02227X/1).

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Published in

Energies

Volume

11

Issue

12

Pages

3506 - 3506

Citation

PALMER, D. ... et al., 2018. A GIS-based method for identification of wide area rooftop suitability for minimum size PV systems using LiDAR data and photogrammetry. Energies, 11(12): 3506.

Publisher

MDPI AG (© The Authors)

Version

VoR (Version of Record)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution 4.0 International (CC BY 4.0) licence. Full details of this licence are available at: http://creativecommons.org/licenses/ by/4.0/

Acceptance date

06/12/2018

Publication date

2018-12-15

Notes

This is an Open Access Article. It is published by MDPI under the Creative Commons Attribution 4.0 Unported Licence (CC BY). Full details of this licence are available at: http://creativecommons.org/licenses/by/4.0/

eISSN

1996-1073

Language

en

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