From 32520818cd75d1c824f202518f73d80ef359ec9b Mon Sep 17 00:00:00 2001
From: "Kittl, Chris" <chris.kittl@tu-dortmund.de>
Date: Wed, 27 Oct 2021 09:47:26 +0200
Subject: [PATCH 1/2] Adding first skeleton for JOSS paper

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+---
+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
+
+# Statement of need
+
+# Acknowledgements
+
+Thanks to whom it may concern.
+
+# References
\ No newline at end of file

From a12bf30affe6076a9d747337b192ba1686f1197a Mon Sep 17 00:00:00 2001
From: "Kittl, Chris" <chris.kittl@tu-dortmund.de>
Date: Thu, 4 Nov 2021 16:46:09 +0100
Subject: [PATCH 2/2] First draft of a summary

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 ---
 
 # 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