<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "https://jats.nlm.nih.gov/nlm-dtd/publishing/3.0/journalpublishing3.dtd">
<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="research-article" dtd-version="3.0" xml:lang="en">
<front>
<journal-meta>
<journal-id journal-id-type="publisher">ISPRS-Annals</journal-id>
<journal-title-group>
<journal-title>ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences</journal-title>
<abbrev-journal-title abbrev-type="publisher">ISPRS-Annals</abbrev-journal-title>
<abbrev-journal-title abbrev-type="nlm-ta">ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2194-9050</issn>
<publisher><publisher-name>Copernicus Publications</publisher-name>
<publisher-loc>Göttingen, Germany</publisher-loc>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.5194/isprs-annals-IV-4-227-2018</article-id>
<title-group>
<article-title>FIRST STEPS TOWARDS LINKING SEMANTIC 3D CITY MODELLING AND MULTI-DOMAIN CO-SIMULATION FOR ENERGY MODELLING AT URBAN SCALE</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Widl</surname>
<given-names>E.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Agugiaro</surname>
<given-names>C.</given-names>
<ext-link>https://orcid.org/0000-0002-2611-4650</ext-link>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Puerto</surname>
<given-names>P.</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>AIT – Austrian Institute of Technology, Center for Energy, Vienna, Austria</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>CREM – Centre de Recherches Energetiques et Municipales, Martigny, Switzerland</addr-line>
</aff>
<aff id="aff3">
<label>3</label>
<addr-line>HES-SO – University of Applied Sciences of Western Switzerland, Sion, Switzerland</addr-line>
</aff>
<aff id="aff4">
<label>4</label>
<addr-line>IMT Mines Albi / UMR CNRS 5302, Albi, France</addr-line>
</aff>
<pub-date pub-type="epub">
<day>19</day>
<month>09</month>
<year>2018</year>
</pub-date>
<volume>IV-4</volume>
<fpage>227</fpage>
<lpage>234</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2018 E. Widl et al.</copyright-statement>
<copyright-year>2018</copyright-year>
<license license-type="open-access">
<license-p>This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit <ext-link ext-link-type="uri"  xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link></license-p>
</license>
</permissions>
<self-uri xlink:href="https://isprs-annals.copernicus.org/articles/IV-4/227/2018/isprs-annals-IV-4-227-2018.html">This article is available from https://isprs-annals.copernicus.org/articles/IV-4/227/2018/isprs-annals-IV-4-227-2018.html</self-uri>
<self-uri xlink:href="https://isprs-annals.copernicus.org/articles/IV-4/227/2018/isprs-annals-IV-4-227-2018.pdf">The full text article is available as a PDF file from https://isprs-annals.copernicus.org/articles/IV-4/227/2018/isprs-annals-IV-4-227-2018.pdf</self-uri>
<abstract>
<p>An important prerequisite for the simulation-based assessment of energy systems at urban scale is the availability of high-quality, well-formatted and semantically structured data. Unfortunately, best practices and state-of-the-art approaches for urban data modelling are hardly applied in the context of energy-related simulations, such that data management and data access often become tedious and cumbersome tasks. This paper presents the so-called Simulation Package, i.e., a data model extending the 3D City Database for CityGML, and its derived data access layer, both aiming to bridge this gap between semantic 3D city modelling and simulation in the context of urban energy systems. The feasibility of this approach is demonstrated with the help of a concrete example, where the proposed extension has been implemented and integrated into a simulation toolchain. The aim is that the availability of a common, shared data model and the proof-of-concept implementation will contribute and foster adoption and further improvement in the future.</p>
</abstract>
<counts><page-count count="8"/></counts>
</article-meta>
</front>
<body/>
<back>
</back>
</article>