exerpy 0.0.1

Exergy analysis for tabular input data

ExerPy is a Python library designed to perform detailed exergy analysis of energy conversion systems. It builds on the exergy analysis methodology implemented in TESPy, while extending its capabilities to seamlessly integrate with simulation tools such as Ebsilon Professional, Aspen Plus, and TESPy itself. ExerPy enables engineers and researchers to identify inefficiencies and optimize the performance of thermodynamic systems through automated workflows and consistent data handling.

With its advanced features, ExerPy calculates both physical and chemical exergy, allowing users to analyze both individual components and entire systems. This helps to identify where and why exergy losses occur, facilitating strategies to improve efficiency, reduce costs, and support sustainable energy usage.

Key Features

• Comprehensive Exergy Analysis: Calculate physical and chemical exergy, perform component-level and system-wide analysis.

• Flexible Integration: Compatible with multiple simulation tools (Ebsilon Professional, Aspen Plus, TESPy).

• Advanced Component Library: Pre-built components for common energy system elements (turbines, heat exchangers, etc.).

• Extensible Architecture: Easy-to-use framework for implementing custom components and analysis methods.

• Robust Data Handling: Consistent fluid property models and automated data extraction from simulation tools.

• Open Source: MIT licensed, free for academic and commercial use.

Getting Started

Installation

You can install the latest version of ExerPy using pip:

pip install exerpy

Quick Start Example

Here’s a simple example how to perform an exergy analysis using ExerPy:

from exerpy import ExergyAnalysis

model_path = 'my_model.ebs'

ean = ExergyAnalysis.from_ebsilon(model_path, chemExLib='Ahrendts')

fuel = {"inputs": ['Fuel'], "outputs": []}
product = {"inputs": ['Power'], "outputs": []}

ean.analyse(E_F=fuel, E_P=product)
ean.exergy_results()

For more detailed tutorials and examples, see the online documentation.

Citation

If you use ExerPy in your scientific work, please consider citing it to support ongoing development. You can cite ExerPy using the following BibTeX entry:

@software{ExerPy,
     author = {Tomasinelli, Sergio and Witte, Francesco and Müller, Robert},
     title = {{ExerPy}: Exergy Analysis in Python},
     note = {Supervision: Prof. Dr.-Ing. Fontina Petrakopoulou}
     url = {https://github.com/oemof/exerpy},
     version = {0.0.1},
     year = {2025}
}

License

MIT License

Copyright (c) Sergio Tomasinelli

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the “Software”), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.