HIM- Hydrogen Infrastructure Model for Python

HSC offers the functionality to calculate predefined hydrogen supply chain architectures with respect to spatial resolution for the analysis of explicit nationwide infrastructures.

Installation and application

First, download and install Anaconda. Then, clone a local copy of this repository to your computer with git

git clone https://github.com/FZJ-IEK3-VSA/HSCPathways.git

or download it directly. Move to the folder

cd HIM

and install the required Python environment via

conda env create -f environment.yml 

To determine the optimal pipeline design, a mathematical optimization solver is required. Gurobi is used as default solver, but other optimization solvers can be used as well.

Examples

A number of examples shows the capabilities of HIM. Either for abstract costs analyses

or for exact infrastructure design

License

MIT License

Copyright (C) 2016-2019 Markus Reuss (FZJ IEK-3), Thomas Grube (FZJ IEK-3), Martin Robinius (FZJ IEK-3), Detlef Stolten (FZJ IEK-3)

You should have received a copy of the MIT License along with this program. If not, see https://opensource.org/licenses/MIT

About Us

We are the Techno-Economic Energy Systems Analysis department at the Institute of Energy and Climate Research: Electrochemical Process Engineering (IEK-3) belonging to the Forschungszentrum Jülich. Our interdisciplinary department's research is focusing on energy-related process and systems analyses. Data searches and system simulations are used to determine energy and mass balances, as well as to evaluate performance, emissions and costs of energy systems. The results are used for performing comparative assessment studies between the various systems. Our current priorities include the development of energy strategies, in accordance with the German Federal Government’s greenhouse gas reduction targets, by designing new infrastructures for sustainable and secure energy supply chains and by conducting cost analysis studies for integrating new technologies into future energy market frameworks.

Acknowledgment

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