• Adrijana Car – Thomas Jekel – Josef Strobl – Gerald Griesebner (Eds.)

GI_Forum 2015, Volume 3

Journal for Geographic Information Science

Geospatial Minds for Society

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The Journal for Geographic Information Science issue 1-2015 presents peer-reviewed papers presented at the Geoinformatics Forum (www.gi-forum.org), held in Salzburg from July 7-10, 2015. The annual GI_Forum symposium provides a platform for dialogue among geospatial minds in an ongoing effort to support the creation of an informed GISociety.

In this issue, the following topics are addressed:
• GIScience Contributions for Society
• Learning with Geoinformation
• Earth Observation for Humanitarian Operations
• GI for Public Health
• Technical and Human Sensors
• Transportation Modelling
• Environmental GIS and Applications

Verlag der Österreichischen Akademie der Wissenschaften
Austrian Academy of Sciences Press
A-1011 Wien, Dr. Ignaz Seipel-Platz 2
Tel. +43-1-515 81/DW 3420, Fax +43-1-515 81/DW 3400
https://verlag.oeaw.ac.at, e-mail: verlag@oeaw.ac.at

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GI_Forum 2015, Volume 3

ISSN 2308-1708
Online Edition
ISBN 978-3-87907-558-4
Print Edition
ISBN 978-3-7001-7826-2
Online Edition



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Verlag der Österreichischen Akademie der Wissenschaften
Austrian Academy of Sciences Press
A-1011 Wien, Dr. Ignaz Seipel-Platz 2,
Tel. +43-1-515 81/DW 3420, Fax +43-1-515 81/DW 3400
https://verlag.oeaw.ac.at, e-mail: bestellung.verlag@oeaw.ac.at
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Locating and Positioning Solar Panels in a 3D City Model: A Case Study of Newcastle, UK

    Heidi El-Hosaini

GI_Forum 2015, Volume 3, pp. 147-157, 2015/06/26

Journal for Geographic Information Science

Geospatial Minds for Society

doi: 10.1553/giscience2015s147


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doi:10.1553/giscience2015s147


Abstract

The recent advent of high quality, realistic 3D city models is creating new possibilities for analyses and visualisations of solar irradiance and photovoltaic (PV) potential at an urban level. A 3D city model of Newcastle (UK) is used to demonstrate potential applications for locating solar panels (i.e. which surfaces within the model), and positioning them (i.e. where on a given surface). After geometrically validating the model, a 3D PV assessment tool is developed for locating suitable surfaces, which accounts for 3D geometric properties (surface area, slope, aspect), clear-sky solar irradiance estimates, and annual PV estimates. Optimal sub-sections of a selected surface are then identified using 3D shadow detection analyses. Outputs include a daily animation of the shadows cast across the surface each hour, and a static image displaying mean non-shaded percentage patterns on the surface.