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RadComp: Radial compressor mean-line model

Mean-line (1D) model for evaluating radial compressors. The code is adapted from the version developed by Schiffmann and Favrat1, and was used to generate a turbo-compressor dataset for DATED.

Cyril Picard, Jürg Schiffmann and Faez Ahmed, "DATED: Guidelines for Creating Synthetic Datasets for Engineering Design Applications", 2023.

Datasets

The dataset related to DATED is available on Zenodo.

Using the model

Installation

To install this package, first make sure that you have Python >= 3.9 installed in your environment. If not, we recommend to install Python using mambaforge.

git clone https://github.com/cyrilpic/radcomp
cd radcomp
pip install .

If you want to install all dependencies to use the dataset generation scripts:

pip install .[generate]

Basic Usage

A step-by-step example is provided in the EvaluateCompressor.ipynb notebook.

Citation

If you use the dataset or the model, you can cite our publication:

Cyril Picard, Jürg Schiffmann and Faez Ahmed, "DATED: Guidelines for Creating Synthetic Datasets for Engineering Design Applications", 2023.

Footnotes

  1. Jürg Schiffmann and Daniel Favrat, “Design, experimental investigation and multi-objective optimization of a small-scale radial compressor for heat pump applications,” Energy, vol. 35, no. 1, pp. 436–450, Jan. 2010, doi: 10.1016/j.energy.2009.10.010. ↩