The Application of CityGML Food Water Energy ADE to Estimate the Biomass Potential for a Land Use Scenario

Padsala, Rushikesh and Gebetsroither-Geringer, Ernst and Bao, Keyu and Coors, Volker (2021) The Application of CityGML Food Water Energy ADE to Estimate the Biomass Potential for a Land Use Scenario. CITIES 20.50 – Creating Habitats for the 3rd Millennium: Smart – Sustainable – Climate Neutral. Proceedings of REAL CORP 2021, 26th International Conference on Urban Development, Regional Planning and Information Society. pp. 851-861. ISSN 2521-3938

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Cities are undergoing rapid urbanisation throughout the globe. A common challenge amongst them is to provide food, water, and energy (FWE) supplies under sustainable and economically productive conditions. As a result, new tools and techniques must be developed to support domain experts and decision-makersto understand, simulate and visualise the nexus impact on the sustainable supply of the FWE resources. A critical part of such a development process is to eliminate data silos and move towards an integrated FWE based data model, which can then be used to connect domain-specific urban simulation tools to simulate FWE nexus scenarios based on changes in landuse, population, and climatic conditions.This paper demonstrates the CityGML FWE Application Domain Extension (ADE) application as a central data exchange format to connect different urban simulation tools. First, it gives an insight into the ongoing development of the FWE ADE to the standardised open city information data model of CityGML. Secondly, it demonstrates the role of the CityGML FWE ADE in exchanging datasets between a FWE based landuse simulator built with UD_InfraSim and an urban energy simulator SimStadt to estimate the biomass potential for a landuse scenario of Vienna based on its future population and climatic changes.

Item Type: Article
Additional Information: This paper is part of the IN-SOURCE (INtegrated analysis andmodelling for the management of sustainable urban FEW Res-SOURCEs) project. The IN-SOURCE project is funded from the European Union’sHorizon 2020 research and innovation program under grant agreement No 730254. We want to give our acknowledgementsto the JPI Urban Europe, the Belmont Forum, the Federal Ministry of Education and Research – BMBF Germany and the Federal Ministry Republic of Austria Climate Action, Environment, Energy, Mobility, Innovation and Technology (BMK) fortheir financial support to the project IN-SOURCE. We would also like to thank our international IN-SOURCE project partners from the USA, New York Institute of Technology (NYIT), the City University of New York (CUNY) and Prof. Dr. Ursula Eicker from Concordia University, Montreal, Canada, for their continued help and support. We would also like to acknowledge Matthias Betz and Dr. Preston Francisco Rodrigues from Hochschule für Technik Stuttgart for knowledge sharing andthe first development of FWE ADE specific citygml4j. A special thanks to Dr. Claus Nagel and Dr. Zhihang Yao from Virtual City Systems GmbH, Berlinforconducting a hands-on workshop on the development of ADE specific importer-exporter extension for 3DCityDB.
Uncontrolled Keywords: Data Modelling, 3D CIty Modelling, Food Water Energy ADE, CityGML, Food Water Energy Nexus
Subjects: H Social Sciences > HD Industries. Land use. Labor
H Social Sciences > HE Transportation and Communications
T Technology > TA Engineering (General). Civil engineering (General)
Depositing User: REAL CORP Administrator
Date Deposited: 06 Oct 2021 19:45
Last Modified: 17 Oct 2021 17:47

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