POSST
Simulating Transient Systems Based on Controlled-Oriented Models (COM), Mean Value Modeling (MVM), Lumped Parameter System (LPS)
Authors:
Florian Dennewitz (Maintainer)1,2, Leonora Kastrati (Maintainer)1, Niklas Nickig (Maintainer)2, Matthias Bahr (Contributor)2
Abstract
This open-source simulation software enables real-time simulation of fuel cell system components without the use of mathematical solvers. Based on the Mean-Value-Modelling approach for transient process modelling, this software is web-based and addresses common challenges of existing simulation programs, such as high costs and lack of interoperability.
Example of Cathode Path
Results of Example
Link to Websimulation
Here we provide a simulation environment on the Energy System Solutions Website: https://www.energy-system-solutions.de/simulation. Feel free to test the simulation and the integrated controller of the ZBT.
Keywords
- Simulation
- Open-source
- Python
- Black box modelling
- Fuel cell system
Installation Guide
Installation with pip
NOT AVAILABLE YET!
Installation with GIT
If you prefer to install directly from the repository, follow these steps:
Clone the Repository:
git clone https://github.com/ZBT-Tools/POSST.git
Navigate to the Project Directory:
cd yourPath/POSST
Install Required Packages: Make sure you have a virtual environment set up (optional but recommended). Then install the required packages:
pip install -r requirements.txt
Create Your Process: Follow the documentation in the repository to set up your process model.
Simulate Process: Use the provided simulation tools to run your process model. Check the usage examples in the documentation for guidance.
Additional Notes
Ensure that you have Python installed (preferably Python 3.7 or higher).
If you encounter any issues, check the issues section of the repository for troubleshooting.
Feel free to reach out if you have any questions or need further assistance!
Contents
1. Modelling of Reservoirs
The reservoir model describes mass and enthalpy flow as well as temperature changes using ordinary differential equations.
2. Modelling of Flows
Assuming incompressible flow between reservoirs, mass flow is calculated with adaptations for potential backflow.
3. Modelling of Mixed Media
To calculate specific heat capacity and other properties, the gas composition is determined.
4. Modelling of the Compressor
The compressor is simulated using the “rotating disk” model. A Python library generates the compressor characteristic diagram.
A Python library generates the compressor characteristic diagram:
5. Modelling of the Fuel Cell
To reduce a 2-D + 1-D spatially resolved fuel cell model to a voltage model, several simplifications are necessary. By focusing only on the voltage model and ignoring certain sub-models, the complexity of the simulation can be significantly reduced while maintaining core performance characteristics relevant to voltage output.
References
[1] Dipl.-Ing. Sebastian Zahn, "Arbeitsspielaufgelöste Modellbildung und Hardware-in-the-Loop-Simulation von Pkw-Dieselmotoren mit Abgasturboaufladung," Fachbereich Elektrotechnik und Informationstechnik, Technische Universität Darmstadt, Darmstadt, 2012.
[2] L. Guzzella und C. Onder, Introduction to Modeling and Control of Internal Combustion Engine Systems, 2. Aufl. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. Zugriff am: 29. Oktober 2024. [Online]. Verfügbar unter: https://link.springer.com/book/10.1007/978-3-642-10775-7
[3] P. Virtanen et al., "SciPy 1.0: Fundamental Algorithms for Scientific Computing in Python," Nature Methods, Jg. 17, S. 261–272, 2020, doi: 10.1038/s41592-019-0686-2.
[4] S. Gößling, "2-D + 1-D ortsaufgelöste Modellierung von PEM-Brennstoffzellen," Fakultät für Ingeneuirwissenschaften, Abteilung Maschienenbau und Verfahrenstechnik, Universität Duisburg Essen, Duisburg, 2019.
Contact
1# -*- coding: utf-8 -*- 2""" 3 4**Simulating Transient Systems Based on Controlled-Oriented Models (COM), Mean Value Modeling (MVM), Lumped Parameter System (LPS)** 5 6 7### Authors: 8Florian Dennewitz (Maintainer)<sup>1,2</sup>, Leonora Kastrati (Maintainer)<sup>1</sup>, Niklas Nickig (Maintainer)<sup>2</sup>, Matthias Bahr (Contributor)<sup>2</sup> 9 10--- 11 12## Abstract 13This open-source simulation software enables real-time simulation of fuel cell system components without the use of mathematical solvers. Based on the Mean-Value-Modelling approach for transient process modelling, this software is web-based and addresses common challenges of existing simulation programs, such as high costs and lack of interoperability. 14 15### Example of Cathode Path 16<p align="center"> 17 <img src="https://zbt-tools.github.io/POSST/pic/figure1.png" alt="Overview of Cathode Path" width="500"> 18</p> 19 20### Results of Example 21<p align="center"> 22 <img src="https://zbt-tools.github.io/POSST/pic/figure8.png" alt="Cathode Load Profile Simulation" width="800"> 23</p> 24 25### Link to Websimulation 26Here we provide a simulation environment on the Energy System Solutions Website: 27https://www.energy-system-solutions.de/simulation. Feel free to test the simulation and the integrated controller of the ZBT. 28 29--- 30 31## Keywords 32 33- Simulation 34- Open-source 35- Python 36- Black box modelling 37- Fuel cell system 38 39--- 40 41## Installation Guide 42### Installation with pip 43NOT AVAILABLE YET! 44 45 46### Installation with GIT 47 48If you prefer to install directly from the repository, follow these steps: 49 50Clone the Repository: 51 52 git clone https://github.com/ZBT-Tools/POSST.git 53 54Navigate to the Project Directory: 55 56 cd yourPath/POSST 57 58Install Required Packages: Make sure you have a virtual environment set up (optional but recommended). Then install the required packages: 59 60 pip install -r requirements.txt 61 62Create Your Process: Follow the documentation in the repository to set up your process model. 63 64Simulate Process: Use the provided simulation tools to run your process model. Check the usage examples in the documentation for guidance. 65 66Additional Notes 67 68 Ensure that you have Python installed (preferably Python 3.7 or higher). 69 If you encounter any issues, check the issues section of the repository for troubleshooting. 70 71Feel free to reach out if you have any questions or need further assistance! 72 73--- 74 75## Contents 76 77### 1. Modelling of Reservoirs 78The reservoir model describes mass and enthalpy flow as well as temperature changes using ordinary differential equations. 79 80<p align="center"> 81 <img src="https://zbt-tools.github.io/POSST/pic/figure2.png" alt="Reservoir Inputs and Outputs" width="500"> 82</p> 83 84### 2. Modelling of Flows 85Assuming incompressible flow between reservoirs, mass flow is calculated with adaptations for potential backflow. 86 87### 3. Modelling of Mixed Media 88To calculate specific heat capacity and other properties, the gas composition is determined. 89 90### 4. Modelling of the Compressor 91The compressor is simulated using the “rotating disk” model. A Python library generates the compressor characteristic diagram. 92 93<p align="center"> 94 <img src="https://zbt-tools.github.io/POSST/pic/figure3.png" alt="Compressor Model - Rotating Disk Approach" width="500"> 95</p> 96 97A Python library generates the compressor characteristic diagram: 98 99<p align="center"> 100 <img src="https://zbt-tools.github.io/POSST/pic/figure5.png" alt="Compressor Characteristic Diagram" width="500"> 101</p> 102 103### 5. Modelling of the Fuel Cell 104To reduce a 2-D + 1-D spatially resolved fuel cell model to a voltage model, several simplifications are necessary. By focusing only on the voltage model and ignoring certain sub-models, the complexity of the simulation can be significantly reduced while maintaining core performance characteristics relevant to voltage output. 105 106--- 107 108## References 109[1] Dipl.-Ing. Sebastian Zahn, "Arbeitsspielaufgelöste Modellbildung und Hardware-in-the-Loop-Simulation von Pkw-Dieselmotoren mit Abgasturboaufladung," Fachbereich Elektrotechnik und Informationstechnik, Technische Universität Darmstadt, Darmstadt, 2012.<br> 110[2] L. Guzzella und C. Onder, Introduction to Modeling and Control of Internal Combustion Engine Systems, 2. Aufl. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. Zugriff am: 29. Oktober 2024. [Online]. Verfügbar unter: https://link.springer.com/book/10.1007/978-3-642-10775-7<br> 111[3] P. Virtanen et al., "SciPy 1.0: Fundamental Algorithms for Scientific Computing in Python," Nature Methods, Jg. 17, S. 261–272, 2020, doi: 10.1038/s41592-019-0686-2.<br> 112[4] S. Gößling, "2-D + 1-D ortsaufgelöste Modellierung von PEM-Brennstoffzellen," Fakultät für Ingeneuirwissenschaften, Abteilung Maschienenbau und Verfahrenstechnik, Universität Duisburg Essen, Duisburg, 2019.<br> 113 114 115 116--- 117 118### Contact 119- [Energy System Solutions (ESS), Bottrop, Germany](mailto:florian.dennewitz@unitybox.de) 120- [Hydrogen and Fuel Cell Center (ZBT), Duisburg, Germany](mailto:f.dennewitz@zbt.de) 121 122 123"""