Novel validated method for GIS based automated dynamic urban building energy simulations

Peter Nageler; Gregor Zahrer; Richard Heimrath; Thomas Mach; Franz Mauthner; Ingo Leusbrock; Hermann Schranzhofer; Christoph Hochenauer

doi:10.1016/j.energy.2017.07.151

Novel validated method for GIS based automated dynamic urban building energy simulations

Peter Nageler^*, Gregor Zahrer, Richard Heimrath, Thomas Mach, Franz Mauthner, Ingo Leusbrock, Hermann Schranzhofer, Christoph Hochenauer

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

Abstract

The modelling of whole urban districts requires an automated process to parameterize simulation tools. This paper presents a validated methodology for fully automated building modelling within urban districts based on publicly available data. Dynamic building models with detailed heating systems are created in the simulation environment IDA ICE. The method of data collecting and processing and result visualization in a geographical information system (GIS) and the data storage procedure in a PostgreSQL database is described in detail. The building simulation model is validated with consumption data available from 69 buildings of the town Gleisdorf (Austria). The results of the annual heating and domestic hot water demand show a good approximation to the measurement data with a mean deviation of −0.98%. The urban simulation process was then extended to the whole community with its 1945 buildings. This method helps to model and quantitatively describe current building stock in an efficient and timesaving way and enables to develop future smart energy systems, in which the buildings interact with the district heating networks, with limited effort.

Original language	English
Pages (from-to)	142-154
Journal	Energy
Volume	139
DOIs	https://doi.org/10.1016/j.energy.2017.07.151
Publication status	E-pub ahead of print - 24 Jul 2017

ASJC Scopus subject areas

Energy Engineering and Power Technology

Fields of Expertise

Sustainable Systems

Treatment code (Nähere Zuordnung)

Experimental

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1016/j.energy.2017.07.151

1 Finished

EnergySimCity - analysis and simulation of energy systems and ressource networks in cities and urban quarters
Hochenauer, C. (Co-Investigator (CoI)), Nageler, P. J. (Co-Investigator (CoI)), Mach, T. (Co-Investigator (CoI)), Heimrath, R. (Co-Investigator (CoI)), Schranzhofer, H. (Co-Investigator (CoI)) & Brandl, D. (Co-Investigator (CoI))
1/09/14 → 31/08/18
Project: Research project

1 Talk at conference or symposium

Sector Coupling Potentials of a 5th Generation District Heating and Cooling Network
Edtmayer, H. (Speaker), Nageler, P. J. (Contributor), Heimrath, R. (Contributor), Mach, T. (Contributor) & Hochenauer, C. (Contributor)
6 Oct 2020 → 7 Oct 2020
Activity: Talk or presentation › Talk at conference or symposium › Science to science

1 Commissioned report

ECC - EnergyCityConcepts: Methoden- und Konzeptentwicklung zur Implementierung nachhaltiger Energiesysteme in Städten am Beispiel von Gleisdorf und Salzburg
Edtmayer, H., Nageler, P. J., Mach, T., Heimrath, R., Schardinger, I., Langhammer, F., Biberacher, M., Mair am Tinkhof, O., Strasser, H., Mauthner, F. & Leusbrock, I., Mar 2021, 2021 ed. Wien: Bundesministerium für Klimaschutz, Umwelt, Energie, Mobilität, Innovation und Technologie (BMK) . 141 p. (Berichte aus Energie- und Umweltforschung)
Research output: Book/Report › Commissioned report › peer-review

Open Access
File

Cite this

@article{688a1faf55364197b86bff494b9100a1,

title = "Novel validated method for GIS based automated dynamic urban building energy simulations",

abstract = "The modelling of whole urban districts requires an automated process to parameterize simulation tools. This paper presents a validated methodology for fully automated building modelling within urban districts based on publicly available data. Dynamic building models with detailed heating systems are created in the simulation environment IDA ICE. The method of data collecting and processing and result visualization in a geographical information system (GIS) and the data storage procedure in a PostgreSQL database is described in detail. The building simulation model is validated with consumption data available from 69 buildings of the town Gleisdorf (Austria). The results of the annual heating and domestic hot water demand show a good approximation to the measurement data with a mean deviation of −0.98%. The urban simulation process was then extended to the whole community with its 1945 buildings. This method helps to model and quantitatively describe current building stock in an efficient and timesaving way and enables to develop future smart energy systems, in which the buildings interact with the district heating networks, with limited effort.",

keywords = "thermische Simulation, GIS, IDA ICE",

author = "Peter Nageler and Gregor Zahrer and Richard Heimrath and Thomas Mach and Franz Mauthner and Ingo Leusbrock and Hermann Schranzhofer and Christoph Hochenauer",

year = "2017",

month = jul,

day = "24",

doi = "10.1016/j.energy.2017.07.151",

language = "English",

volume = "139",

pages = "142--154",

journal = "Energy",

issn = "0360-5442",

publisher = "Elsevier Ltd.",

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TY - JOUR

T1 - Novel validated method for GIS based automated dynamic urban building energy simulations

AU - Nageler, Peter

AU - Zahrer, Gregor

AU - Heimrath, Richard

AU - Mach, Thomas

AU - Mauthner, Franz

AU - Leusbrock, Ingo

AU - Schranzhofer, Hermann

AU - Hochenauer, Christoph

PY - 2017/7/24

Y1 - 2017/7/24

N2 - The modelling of whole urban districts requires an automated process to parameterize simulation tools. This paper presents a validated methodology for fully automated building modelling within urban districts based on publicly available data. Dynamic building models with detailed heating systems are created in the simulation environment IDA ICE. The method of data collecting and processing and result visualization in a geographical information system (GIS) and the data storage procedure in a PostgreSQL database is described in detail. The building simulation model is validated with consumption data available from 69 buildings of the town Gleisdorf (Austria). The results of the annual heating and domestic hot water demand show a good approximation to the measurement data with a mean deviation of −0.98%. The urban simulation process was then extended to the whole community with its 1945 buildings. This method helps to model and quantitatively describe current building stock in an efficient and timesaving way and enables to develop future smart energy systems, in which the buildings interact with the district heating networks, with limited effort.

AB - The modelling of whole urban districts requires an automated process to parameterize simulation tools. This paper presents a validated methodology for fully automated building modelling within urban districts based on publicly available data. Dynamic building models with detailed heating systems are created in the simulation environment IDA ICE. The method of data collecting and processing and result visualization in a geographical information system (GIS) and the data storage procedure in a PostgreSQL database is described in detail. The building simulation model is validated with consumption data available from 69 buildings of the town Gleisdorf (Austria). The results of the annual heating and domestic hot water demand show a good approximation to the measurement data with a mean deviation of −0.98%. The urban simulation process was then extended to the whole community with its 1945 buildings. This method helps to model and quantitatively describe current building stock in an efficient and timesaving way and enables to develop future smart energy systems, in which the buildings interact with the district heating networks, with limited effort.

KW - thermische Simulation, GIS, IDA ICE

U2 - 10.1016/j.energy.2017.07.151

DO - 10.1016/j.energy.2017.07.151

M3 - Article

SN - 0360-5442

VL - 139

SP - 142

EP - 154

JO - Energy

JF - Energy

ER -

Novel validated method for GIS based automated dynamic urban building energy simulations

Abstract

ASJC Scopus subject areas

Fields of Expertise

Treatment code (Nähere Zuordnung)

UN SDGs

Access to Document

Fingerprint

Projects

EnergySimCity - analysis and simulation of energy systems and ressource networks in cities and urban quarters

Activities

Sector Coupling Potentials of a 5th Generation District Heating and Cooling Network

Research output

ECC - EnergyCityConcepts: Methoden- und Konzeptentwicklung zur Implementierung nachhaltiger Energiesysteme in Städten am Beispiel von Gleisdorf und Salzburg

Cite this