A Spatial Data Analysis Approach for Public Policy Simulation in Thermal Energy Transition Scenarios

Lina Stanzel; Johannes Scholz; Franz Mauthner

doi:10.1007/978-3-658-27495-5_8

A Spatial Data Analysis Approach for Public Policy Simulation in Thermal Energy Transition Scenarios

Lina Stanzel, Johannes Scholz, Franz Mauthner

Institut für Geodäsie (5220)

Publikation: Beitrag in Buch/Bericht/Konferenzband › Beitrag in einem Konferenzband › Begutachtung

Abstract

The paper elaborates on an approach to simulate the effect of public policies regarding thermal energy transition pathways in urban communities. The paper discusses the underlying methodologies of calculating Heating Energy demand of buildings and the rationale for potential zones for thermal energy systems. In order to simulate the effects of public policies on communities the authors developed a spatial Agentbased Model, where the buildings are the main objects that are subject to change, based on a number of both technically and socio-demographic parameters. In order to fill a spatial Agentbased Model with data a number of open source and commercially available datasets need to be spatially analyzed and merged. The initial results of the spatial Agent-based Model simulation show that public policies for thermal energy transition can be simulated accordingly.

Originalsprache	englisch
Titel	Data Science - Analytics and Applications
Untertitel	Proceedings of the 2nd International Data Science Conference – iDSC2019
Redakteure/-innen	Peter Haber, Thomas Lampoltshammer, Manfred Mayr
Erscheinungsort	Wiesbaden
Herausgeber (Verlag)	Springer Vieweg
Seiten	63-68
Seitenumfang	6
ISBN (Print)	978-3-658-27494-8
DOIs	https://doi.org/10.1007/978-3-658-27495-5_8
Publikationsstatus	Veröffentlicht - 2019
Veranstaltung	2nd International Data Science Conference - Salzburg, Österreich Dauer: 22 Mai 2019 → 24 Mai 2019

Konferenz

Konferenz	2nd International Data Science Conference
Kurztitel	iDSC2019
Land/Gebiet	Österreich
Ort	Salzburg
Zeitraum	22/05/19 → 24/05/19

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10.1007/978-3-658-27495-5_8

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Stanzel, L., Scholz, J., & Mauthner, F. (2019). A Spatial Data Analysis Approach for Public Policy Simulation in Thermal Energy Transition Scenarios. in P. Haber, T. Lampoltshammer, & M. Mayr (Hrsg.), Data Science - Analytics and Applications: Proceedings of the 2nd International Data Science Conference – iDSC2019 (S. 63-68). Springer Vieweg. https://doi.org/10.1007/978-3-658-27495-5_8

A Spatial Data Analysis Approach for Public Policy Simulation in Thermal Energy Transition Scenarios. / Stanzel, Lina; Scholz, Johannes; Mauthner, Franz.
Data Science - Analytics and Applications: Proceedings of the 2nd International Data Science Conference – iDSC2019. Hrsg. / Peter Haber; Thomas Lampoltshammer; Manfred Mayr. Wiesbaden: Springer Vieweg, 2019. S. 63-68.

Publikation: Beitrag in Buch/Bericht/Konferenzband › Beitrag in einem Konferenzband › Begutachtung

Stanzel, L, Scholz, J & Mauthner, F 2019, A Spatial Data Analysis Approach for Public Policy Simulation in Thermal Energy Transition Scenarios. in P Haber, T Lampoltshammer & M Mayr (Hrsg.), Data Science - Analytics and Applications: Proceedings of the 2nd International Data Science Conference – iDSC2019. Springer Vieweg, Wiesbaden, S. 63-68, 2nd International Data Science Conference , Salzburg, Österreich, 22/05/19. https://doi.org/10.1007/978-3-658-27495-5_8

Stanzel L, Scholz J, Mauthner F. A Spatial Data Analysis Approach for Public Policy Simulation in Thermal Energy Transition Scenarios. in Haber P, Lampoltshammer T, Mayr M, Hrsg., Data Science - Analytics and Applications: Proceedings of the 2nd International Data Science Conference – iDSC2019. Wiesbaden: Springer Vieweg. 2019. S. 63-68 doi: 10.1007/978-3-658-27495-5_8

Stanzel, Lina ; Scholz, Johannes ; Mauthner, Franz. / A Spatial Data Analysis Approach for Public Policy Simulation in Thermal Energy Transition Scenarios. Data Science - Analytics and Applications: Proceedings of the 2nd International Data Science Conference – iDSC2019. Hrsg. / Peter Haber ; Thomas Lampoltshammer ; Manfred Mayr. Wiesbaden : Springer Vieweg, 2019. S. 63-68

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abstract = "The paper elaborates on an approach to simulate the effect of public policies regarding thermal energy transition pathways in urban communities. The paper discusses the underlying methodologies of calculating Heating Energy demand of buildings and the rationale for potential zones for thermal energy systems. In order to simulate the effects of public policies on communities the authors developed a spatial Agentbased Model, where the buildings are the main objects that are subject to change, based on a number of both technically and socio-demographic parameters. In order to fill a spatial Agentbased Model with data a number of open source and commercially available datasets need to be spatially analyzed and merged. The initial results of the spatial Agent-based Model simulation show that public policies for thermal energy transition can be simulated accordingly.",

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N2 - The paper elaborates on an approach to simulate the effect of public policies regarding thermal energy transition pathways in urban communities. The paper discusses the underlying methodologies of calculating Heating Energy demand of buildings and the rationale for potential zones for thermal energy systems. In order to simulate the effects of public policies on communities the authors developed a spatial Agentbased Model, where the buildings are the main objects that are subject to change, based on a number of both technically and socio-demographic parameters. In order to fill a spatial Agentbased Model with data a number of open source and commercially available datasets need to be spatially analyzed and merged. The initial results of the spatial Agent-based Model simulation show that public policies for thermal energy transition can be simulated accordingly.

AB - The paper elaborates on an approach to simulate the effect of public policies regarding thermal energy transition pathways in urban communities. The paper discusses the underlying methodologies of calculating Heating Energy demand of buildings and the rationale for potential zones for thermal energy systems. In order to simulate the effects of public policies on communities the authors developed a spatial Agentbased Model, where the buildings are the main objects that are subject to change, based on a number of both technically and socio-demographic parameters. In order to fill a spatial Agentbased Model with data a number of open source and commercially available datasets need to be spatially analyzed and merged. The initial results of the spatial Agent-based Model simulation show that public policies for thermal energy transition can be simulated accordingly.

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A Spatial Data Analysis Approach for Public Policy Simulation in Thermal Energy Transition Scenarios

Abstract

Konferenz

UN SDGs

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