The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.
TEASER: an open tool for urban energy modelling of building stocks
Abstract
The energy supply of buildings in urban contexts is undergoing significant changes. The increase of renewable sources for electrical and thermal energy generation will require flexible and secure supply systems. To reflect and consider these changes in energy systems and buildings, dynamic simulation is one key element. Sparse and limited access to detailed building information as well as computing time are challenges for building simulation on urban-scale. In addition, data acquisition and modelling for building performance simulation (BPS) are time-consuming and error-prone. To enable the use of BPS on urban-scale, this paper presents TEASER, an open framework for urban energy modelling of building stocks (open-source at https://github.com/RWTH-EBC/TEASER). TEASER provides an interface for multiple data sources, data enrichment and export of ready-to-run Modelica simulation models. The paper presents TEASER's methodology and package structure. Three use cases show TEASER's capabilities on the building, neighbourhood and urban scales.
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Cites
EnergyPlus: creating a new-generation building energy simulation program
Crawley, D. B., Lawrie, L. K., Winkelmann, F. C., Buhl, W. F., Huang, Y. J., Pedersen, C. O., Strand, R. K., Liesen, R. J., Fisher, D. E., Witte, M. J., et al. (2001) · Energy and Buildings · doi:10.1016/s0378-7788(00)00114-6 · Cited by 2,822
Urban building energy modeling – A review of a nascent field
Reinhart, C. F., & Cerezo Davila, C. (2016) · Building and Environment · doi:10.1016/j.buildenv.2015.12.001 · Cited by 1,081
Energy Simulation in Building Design
Clarke, J. (2007) · Routledge eBooks · doi:10.4324/9780080505640 · Cited by 964
CityGML – Interoperable semantic 3D city models
Gröger, G., & Plümer, L. (2012) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/j.isprsjprs.2012.04.004 · Cited by 736
A high-resolution domestic building occupancy model for energy demand simulations
Richardson, I., Thomson, M., & Infield, D. G. (2008) · Energy and Buildings · doi:10.1016/j.enbuild.2008.02.006 · Cited by 564
Ballarini, I., Corgnati, S. P., & Corrado, V. (2014) · Energy Policy · doi:10.1016/j.enpol.2014.01.027 · Cited by 519
OGC City Geography Markup Language (CityGML) Encoding Standard
(2024) · doi:10.62973/12-019 · Cited by 514
Building Performance Simulation for Design and Operation
Hensen, J. L. M. (2012) · Routledge eBooks · doi:10.4324/9780203891612 · Cited by 454
Building Performance Simulation for Design and Operation
(2019) · Routledge eBooks · doi:10.1201/9780429402296 · Cited by 394
CITYSIM: Comprehensive Micro-Simulation of Resource Flows for Sustainable Urban Planning
Robinson, D., Haldi, F., Leroux, P., Perez, D., Rasheed, A., & Wilke, U. (2009) · Infoscience (Ecole Polytechnique Fédérale de Lausanne) · doi:10.26868/25222708.2009.1083-1090 · Cited by 301
Cited by
Ahmad, T., Madonski, R., Zhang, D., Huang, C., & Mujeeb, A. (2022) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2022.112128 · Cited by 711
Metadata
- Authors
- Remmen, P., Lauster, M., Mans, M., Fuchs, M., Osterhage, T., & Müller, D.
- Venue
- Journal of Building Performance Simulation
- Publisher
- Informa UK Limited
- Published
- 2017-02-07
- Volume
- 11
- Issue
- 1
- Pages
- 84-98
- ISSN
- 1940-1493 (ISSN-L)
- 1940-1507
- OpenAlex
- W2586325172
- Cited by
- 323
- References
- 20
- FWCI
- 19.08
- Type
- journal article
- Language
- en
- Open access
- closed
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- Remmen, P., Lauster, M., Mans, M., Fuchs, M., Osterhage, T., & Müller, D. (2018). TEASER: an open tool for urban energy modelling of building stocks. Journal of Building Performance Simulation. https://doi.org/10.1080/19401493.2017.1283539
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
