Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Introductory paper for JOSS journal #62

Draft
wants to merge 2 commits into
base: main
Choose a base branch
from
Draft
Show file tree
Hide file tree
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
Empty file.
42 changes: 42 additions & 0 deletions publication/joss-introduction.md
Original file line number Diff line number Diff line change
@@ -0,0 +1,42 @@
---
title: 'OSMoGrid: Generating Electrical Power Distribution System Models from Open Data'
tags:
- Open Data
authors:
- name: Johannes Hiry
orcid: 0000-0002-1447-0607
affiliation: 1
- name: Chris Kittl
orcid: 0000-0002-1187-0568
affiliation: 1
- name: Thomas Oberließen
orcid: 0000-0001-5805-5408
affiliation: 1
affiliations:
- name: ie<sup>3</sup> - Institute of Energy Systems, Energy Efficiency and Energy Economics, TU Dortmund University, Germany
date: 27 October 2021
bibliography: joss-introduction.bib
---

# Summary
The Open Street Map Grid model Generator -- shortly _OSMoGrid_ -- is a Java-based tool to derive life-like models of electric power distribution systems.
It's focus is on the low voltage grid level, serving single housholds and other smaller electricity customers, like shops etc.
The software simulates a practical, conventional planning process that a distribution system operator would go through, if there wouldn't be any infrastructure available in the targeted area of interest (_green field planning_ principle).
For this purpose, it combines information from the Open Stree Map project and thorough assumptions based on expert knowledge on actual distribution grid planning processes.
Moreover, partially available information on existing infrastructure can be incoroporated as well (_brown field planning_ principle).

Obviously, _OSMoGrid_ aids contemporary power system research activities in providing life-like distribution system models with a geo-referenced grid structure within a user chosen area of interest -- this is a novelty by itself.
Moreover, by its modular nature, it also allows for research on a meta level.
Possible applications in this regard are, but not limited to:
- Improved planning processes for a voltage level-integrated distribution grid planning
- Sensitivity assessments of different assumptions on the overall grid performance
- Research on distance based clustering algorithms to determine resonable and efficient supply areas for secondary substations
- ...

# Statement of need

# Acknowledgements

Thanks to whom it may concern.

# References