TESPy stands for "Thermal Engineering Systems in Python" and provides a powerful simulation toolkit for thermal engineering plants such as various types of power plants (including organic rankine cycles), heat pumps or refrigeration machines. Due to its flexibility it is actually possible to model any kind of thermal energy conversion process, this also includes energy balancing of industrial processes, district heating or HVAC systems. It is part of the Open Energy Modelling Framework oemof and can be used as a standalone package.
With the TESPy package you are able to calculate stationary operation in order to design the process of thermal energy systems. From that point it is possible to simulate the offdesign behavior of your plant using underlying characteristics for each of the plants components. The package includes basic components, such as turbines, pumps, compressors, heat exchangers, pipes, mixers and splitters as well as some advanced components (derivatives of heat exchangers, drum).
Everybody is welcome to use and/or develop TESPy. Contribution is already possible on a low level by simply fixing typos in TESPy's documentation or rephrasing sections which are unclear. If you want to support us that way please fork the TESPy repository to your own GitHub account and make changes as described in the GitHub guidelines: https://guides.github.com/activities/hello-world/
- Open Source
- Generic thermal engineering applications
- Extendable framework for the implementation of custom components, fluid property formulations and equations
- Integration of optimization capabilities through an API to pygmo
- Postprocessing features like exergy analysis and fluid property plotting
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You can find the full documentation at readthedocs. Use the project site of readthedocs to choose the version of the documentation. Go to the download page to download different versions and formats (pdf, html, epub) of the documentation.
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If you have a working Python3 environment, use pypi to install the latest tespy version:
pip install tespyIf you want to use the latest features, you might want to install the developer version. See section Developing TESPy for more information. The developer version is not recommended for productive use.
We have decided to start a reoccurring "Stammtisch" meeting for all interested TESPy users and (potential) developers. You are invited to join us on every 3rd Monday of a month at 17:00 CE(S)T for a casual get together. The first meeting will be held at June, 20, 2022. The intent of this meeting is to establish a more active and well-connected network of TESPy users and developers.
If you are interested, you can simply join the meeting at https://meet.jit.si/tespy_user_meeting. We are looking forward to seeing you!
We have implemented a discussion room on GitHub as user forum. If you have issues with setting up your model or any other question about using the software, you are invited to start a discussion there.
For a short introduction on how TESPy works and how you can use it, we provide an extensive user guide. You can download all python scripts of the examples and tutorials from this GitHub repository. They are included in the "tutorial" directory.
The scope and functionalities of TESPy have been documented in a paper published in the Journal of Open Source Software with an Open-Access license. Download the paper from https://doi.org/10.21105/joss.02178. As TESPy is a free software, we kindly ask that you add a reference to TESPy if you use the software for your scientific work. Please cite the article with the BibTeX citation below.
BibTeX citation:
@article{Witte2020,
doi = {10.21105/joss.02178},
year = {2020},
publisher = {The Open Journal},
volume = {5},
number = {49},
pages = {2178},
author = {Francesco Witte and Ilja Tuschy},
title = {{TESPy}: {T}hermal {E}ngineering {S}ystems in {P}ython},
journal = {Journal of Open Source Software}
}
Furthermore, a paper on the exergy analysis feature has been published in the mdpi journal energies. You can download the pdf at https://doi.org/10.3390/en15114087. If you are using this feature specifically, you can reference it with the following BibTeX citation:
BibTeX citation:
@article{Witte2022,
doi = {10.3390/en15114087},
year = {2022},
volume = {15},
number = {11},
article-number = {4087},
issn = {1996-1073},
author = {Witte, Francesco and Hofmann, Mathias and Meier, Julius and Tuschy, Ilja and Tsatsaronis, George},
title = {Generic and Open-Source Exergy Analysis—Extending the Simulation Framework TESPy},
journal = {Energies}
}
Additionally, you have the possibility to cite a specific version of TESPy to make your work reproducible. The source code of every version is published on zenodo. Find your version here: https://doi.org/10.5281/zenodo.2555866.
Copyright (c) Francesco Witte
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