teaser

TEASER - Tool for Energy Analysis and Simulation for Efficient Retrofit

https://github.com/rwth-ebc/teaser

Science Score: 67.0%

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    Found 3 DOI reference(s) in README
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    Links to: researchgate.net
  • Committers with academic emails
    36 of 46 committers (78.3%) from academic institutions
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    Organization rwth-ebc has institutional domain (www.ebc.eonerc.rwth-aachen.de)
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    Low similarity (15.4%) to scientific vocabulary

Keywords

buildings hacktoberfest maintained python simulation tool urban-energy-modeling

Keywords from Contributors

converter dwd epw tmy3 try weather weatherdata weatherdatacollection
Last synced: 6 months ago · JSON representation

Repository

TEASER - Tool for Energy Analysis and Simulation for Efficient Retrofit

Basic Info
  • Host: GitHub
  • Owner: RWTH-EBC
  • License: other
  • Language: Python
  • Default Branch: main
  • Homepage:
  • Size: 80.5 MB
Statistics
  • Stars: 130
  • Watchers: 27
  • Forks: 72
  • Open Issues: 64
  • Releases: 51
Topics
buildings hacktoberfest maintained python simulation tool urban-energy-modeling
Created over 10 years ago · Last pushed 6 months ago
Metadata Files
Readme License

README.md

E.ON EBC RWTH Aachen University

TEASER - Tool for Energy Analysis and Simulation for Efficient Retrofit

documentation coverage Build Status License Binder

TEASER (Tool for Energy Analysis and Simulation for Efficient Retrofit) allows fast generation of archetype buildings with low input requirements and the export of individual dynamic simulation models for the below-mentioned Modelica libraries. These libraries all use the framework of Modelica IBPSA library. TEASER is being developed at the RWTH Aachen University, E.ON Energy Research Center, Institute for Energy Efficient Buildings and Indoor Climate.

The full documentation of TEASER including examples and description of modules, classes and functions can be found at the website:

  • http://rwth-ebc.github.io/TEASER/

If you have any questions regarding TEASER feel free to contact us at ebc-tools@eonerc.rwth-aachen.de.

Description

Energy supply of buildings in urban context currently undergoes significant changes. The increase of renewable energy sources for electrical and thermal energy generation will require flexible and secure energy storage and distribution systems. To reflect and consider these changes in energy systems and buildings, dynamic simulation is one key element, in particular when it comes to thermal energy demand on minutely or hourly scale. Sparse and limited access to detailed building information as well as computing times are challenges for building simulation on urban scale. In addition, data acquisition and modeling for Building Performance Simulation (BPS) are time consuming and error-prone. To enable the use of BPS on urban scale we present the TEASER tool, an open framework for urban energy modeling of building stocks. TEASER provides an easy interface for multiple data sources, data enrichment (where necessary) and export of ready-to-run Modelica simulation models for all libraries supporting the Modelica IBPSA library.

How to use TEASER

Examples and jupyter notebooks

We provide different examples to show the usage of TEASER. Check out the files under teaser/examples or the jupyter-notebooks available here: docs/jupyter_notebooks. If you just want to read the example on github, check them here: docs/source/jupyter_notebooks.

Dependencies

TEASER is currently tested against Python 3.7 up to 3.12. Older versions of Python may still work, but are no longer actively supported. Using a Python distribution is recommended as they already contain (or easily support installation of) many Python packages (e.g. SciPy, NumPy, pip, PyQT, etc.) that are used in the TEASER code. Two examples of those distributions are:

  1. https://winpython.github.io/ WinPython comes along with a lot of Python packages (e.g. SciPy, NumPy, pip, PyQT, etc.)..
  2. http://conda.pydata.org/miniconda.html Conda is an open source package management system and environment management system for installing multiple versions of software packages and their dependencies and switching easily between them.

In addition, TEASER requires some specific Python packages:

  1. Mako: template Engine install on a python-enabled command line with pip install -U mako
  2. pandas: popular data analysis library install on a python-enabled command line with pip install -U pandas
  3. pytest: Unit Tests engine install on a python-enabled command line with pip install -U pytest

Installation

The best option to install TEASER is to use pip:

pip install teaser

If you actively develop TEASER you can clone this repository by using:

git clone [SSH-Key/Https]

and then run:

pip install -e [Path/to/your/Teaser/Clone] which will install the local version of TEASER.

How to contribute to the development of TEASER

You are invited to contribute to the development of TEASER. You may report any issues by using the Issues button. Furthermore, you are welcome to contribute via Pull Requests. The workflow for changes is described in our Wiki.

How to cite TEASER

  • TEASER: an open tool for urban energy modelling of building stocks. Remmen P., Lauster M., Mans M., Fuchs M., Osterhage T., Müller D.. Journal of Building Performance Simulation, February 2017, pdf, bibtex

TEASER related publications

  • CityGML Import and Export for Dynamic Building Performance Simulation in Modelica. Remmen P., Lauster M., Mans M., Osterhage T., Müller D.. BSO16, p.329-336, September 2016, pdf, bibtex

  • Scalable Design-Driven Parameterization of Reduced Order Models Using Archetype Buildings with TEASER. Lauster M., Mans M., Remmen P., Fuchs M., Müller D.. BauSIM2016, p.535-542, September 2016, pdf

  • Refinement of Dynamic Non-Residential Building Archetypes Using Measurement Data and Bayesian Calibration Remmen P., Schäfer J., Müller D.. Building Simulation 2019, September 2019, pdf

  • Selecting statistical indices for calibrating building energy models. Vogt, M., Remmen P., Lauster M., Fuchs M. , Müller D.. Building and Environment 144, pages 94-107, October 2018. bibtex

  • The Institute of Energy Efficiency and Sustainable Building published a parametric study of TEASER where all functions and parameters used in TEASER are gathered and explained. The publication can be found here.

  • “Modeling District Heating and Cooling Systems with URBANopt, GeoJSON to Modelica Translator, and the Modelica Buildings Library.” Long, Nicholas, Antoine Gautier, Hagar Elarga, Amy Allen, Ted Summer, Lauren Klun, Nathan Moore, and Michael Wetter. 2021. In Building Simulation 2021, 8. Bruges, Brussels. https://docs.urbanopt.net/docfiles/modelingdes_paper.pdf.

License

TEASER is released by RWTH Aachen University, E.ON Energy Research Center, Institute for Energy Efficient Buildings and Indoor Climate, under the MIT License.

Acknowledgements

This work was supported by the Helmholtz Association under the Joint Initiative “Energy System 2050 – A Contribution of the Research Field Energy”.

Parts of TEASER have been developed within public funded projects and with financial support by BMWi (German Federal Ministry for Economic Affairs and Energy).

Owner

  • Name: RWTH Aachen University - E.ON Energy Research Center - Institute for Energy Efficient Buildings and Indoor Climate
  • Login: RWTH-EBC
  • Kind: organization
  • Email: david.jansen@eonerc.rwth-aachen.de
  • Location: RWTH Aachen University, Aachen, Germany

GitHub Events

Total
  • Create event: 37
  • Release event: 8
  • Issues event: 42
  • Watch event: 14
  • Delete event: 26
  • Issue comment event: 40
  • Push event: 235
  • Pull request review event: 52
  • Pull request review comment event: 37
  • Pull request event: 56
  • Fork event: 3
Last Year
  • Create event: 37
  • Release event: 8
  • Issues event: 42
  • Watch event: 14
  • Delete event: 26
  • Issue comment event: 40
  • Push event: 235
  • Pull request review event: 52
  • Pull request review comment event: 37
  • Pull request event: 56
  • Fork event: 3

Committers

Last synced: 7 months ago

All Time
  • Total Commits: 2,389
  • Total Committers: 46
  • Avg Commits per committer: 51.935
  • Development Distribution Score (DDS): 0.699
Past Year
  • Commits: 149
  • Committers: 9
  • Avg Commits per committer: 16.556
  • Development Distribution Score (DDS): 0.53
Top Committers
Name Email Commits
PRemmen P****n@e****e 720
PRemmen P****n@e****e 257
mlauster m****r@e****e 187
MichaMans m****s@h****m 185
David d****1@r****e 172
yGoerguelue y****e@r****e 153
mla-mmn m****s@e****e 150
pre-ygo p****o@E****e 130
Hendrik van der Stok h****k@r****e 70
Philip Gorzalka p****a@d****e 48
Martin Rätz m****z@r****e 46
mla-cgi m****i@E****e 33
fabian.wuellhorst f****t@e****e 31
Marcus Fuchs m****s@h****e 29
fabian.wuellhorst f****t@r****e 26
Jonatan Höpp j****p@e****e 18
marvin.kluge m****e@e****e 18
fabian.wuellhorst@eonerc.rwth-aachen.de F****t 17
Jonas Reuter-Schniete j****e@r****e 11
jsc-tbe T****r@e****e 10
Alessandro Maccarini a****m@s****k 7
Peter Remmen P****n 6
Nicholas Long n****g@g****m 6
Diego Cordoba d****a@e****e 4
XucYin x****g@e****e 4
unknown j****e@E****e 4
Remmen p****e@e****e 4
Risch S****h@e****e 4
mla-srs s****h@e****e 4
Beckhoelter j****e@e****e 3
and 16 more...

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 432
  • Total pull requests: 410
  • Average time to close issues: 4 months
  • Average time to close pull requests: 24 days
  • Total issue authors: 63
  • Total pull request authors: 33
  • Average comments per issue: 2.49
  • Average comments per pull request: 1.87
  • Merged pull requests: 348
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 29
  • Pull requests: 47
  • Average time to close issues: about 1 month
  • Average time to close pull requests: 24 days
  • Issue authors: 12
  • Pull request authors: 9
  • Average comments per issue: 0.21
  • Average comments per pull request: 0.6
  • Merged pull requests: 33
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • PRemmen (124)
  • mlauster (52)
  • MichaMans (50)
  • yGoerguelue (33)
  • DaJansenGit (26)
  • marcusfuchs (19)
  • MartinRaetz (12)
  • JSchiefelbein (10)
  • PGorzalka (8)
  • FWuellhorst (7)
  • RWTHSebastian (7)
  • HvanderStok (6)
  • AmeCode (4)
  • larissakuehn (3)
  • HoeppJ (3)
Pull Request Authors
  • PRemmen (134)
  • DaJansenGit (67)
  • MichaMans (58)
  • mlauster (40)
  • yGoerguelue (34)
  • FWuellhorst (24)
  • MartinRaetz (11)
  • marcusfuchs (11)
  • JSchiefelbein (8)
  • PGorzalka (6)
  • CGingter (6)
  • HvanderStok (5)
  • HoeppJonatan (4)
  • nhuelsenbeck (4)
  • jonas0902 (2)
Top Labels
Issue Labels
bug (85) enhancement (79) SolvedInDev (62) GUI (51) Logic (44) Data (35) help wanted (15) critical (14) Docu (10) question (9) wip 05 (8) invalid (4) hacktoberfest (1) solved release05 (1) persistent (1)
Pull Request Labels
bug (57) GUI (37) enhancement (30) Logic (22) Data (16) wip 05 (6) critical (5) hacktoberfest (2) hacktoberfest-accepted (1) Docu (1)

Packages

  • Total packages: 3
  • Total downloads:
    • pypi 1,686 last-month
  • Total dependent packages: 1
    (may contain duplicates)
  • Total dependent repositories: 6
    (may contain duplicates)
  • Total versions: 127
  • Total maintainers: 6
pypi.org: teaser

Tool for Energy Analysis and Simulation for Efficient Retrofit

  • Versions: 39
  • Dependent Packages: 1
  • Dependent Repositories: 6
  • Downloads: 1,686 Last month
  • Docker Downloads: 0
Rankings
Dependent packages count: 3.2%
Docker downloads count: 3.8%
Forks count: 5.5%
Average: 5.7%
Dependent repos count: 6.1%
Stargazers count: 7.2%
Downloads: 8.6%
Last synced: 6 months ago
proxy.golang.org: github.com/rwth-ebc/teaser
  • Versions: 44
  • Dependent Packages: 0
  • Dependent Repositories: 0
Rankings
Dependent packages count: 7.0%
Average: 8.2%
Dependent repos count: 9.3%
Last synced: 6 months ago
proxy.golang.org: github.com/RWTH-EBC/TEASER
  • Versions: 44
  • Dependent Packages: 0
  • Dependent Repositories: 0
Rankings
Dependent packages count: 7.0%
Average: 8.2%
Dependent repos count: 9.3%
Last synced: 6 months ago

Dependencies

setup.py pypi
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.github/workflows/codeql-analysis.yml actions
  • actions/checkout v2 composite
  • github/codeql-action/analyze v1 composite
  • github/codeql-action/autobuild v1 composite
  • github/codeql-action/init v1 composite
docs/requirements.txt pypi
  • autodoc_pydantic *
  • m2r2 *
  • numpydoc *
  • sphinx *
  • sphinx-material *
  • sphinx-rtd-theme >=1.3.0
  • sphinxcontrib.bibtex *