A call for an open source culture in energy system modeling
Robbie Morrison
Hello all
The Renewables Grid Initiative (RGI) recently issued an appeal for NGOs in the energy and climate space to embrace open energy system modeling. See the direct references and cited references below for details.
As mentioned earlier, RGI act as an interface between the
electricity industry and the aforementioned NGOs within Europe.
The open source PyPSA model was used to assess "Paris Agreement Compatible Scenarios for Energy Infrastructure" (Zeyen et al 2020) too. Although I am not entirely sure where the PAC workshops fit into this landscape — perhaps someone else (Tom?) on this list knows?
with best wishes, Robbie
Direct references
RGI (25 February 2021). Open
source and open data in energy system modelling: why NGOs
should engage with the topic. Berlin, Germany:
Renewables Grid Initiative (RGI). PDF.
RGI (23 February 2021). A
call for an open source culture in energy system modelling.
Landing page.
Cited references
Cattaneo, Bruno (28 March 2019). Commission makes it even easier for citizens to reuse all information it publishes online. EU Science Hub — European Commission. Last update: 5 April 2019.
Hainsch, Karlo, Hanna Brauers, Thorsten Burandt, Leonard Göke, Christian von Hirschhausen, Claudia Kemfert, Mario Kendziorski, Konstantin Löffler, Pao-Yu Oei, Fabian Präger, and Ben Wealer (June 2020). Make the European Green Deal real: combining climate neutrality and economic recovery — Politikberatung kompakt 153. Berlin, Germany: DIW Berlin (Deutsches Institut für Wirtschaftsforschung). ISBN 978‑3‑946417‑44‑6.
Hirth, Lion, Ingmar Schlecht, and Jonathan Mühlenpfordt (6 November 2018). Open data for electricity modeling: an assessment of input data for modeling the European electricity system regarding legal and technical usability — White paper. Berlin, Germany: Neon Neue Energieökonomik. A report for the Federal Ministry for Economic Affairs and Energy, Germany.
Zeyen, Elisabeth, Marta Victoria, and Tom Brown (15 October 2020). PAC scenarios with PyPSA‑Eur‑Sec — Presentation. Presentation to 4th PAC scenario workshop.
-- Robbie Morrison Address: Schillerstrasse 85, 10627 Berlin, Germany Phone: +49.30.612-87617
Tom Brown
That's great news for broadening access and use of energy modelling tools.
The correct link to the appeal is:
https://www.pac-scenarios.eu/fileadmin/user_upload/20210225_Open_Source_appeal.pdf
(unless anyone has access to Robbie's hard-drive).
The PAC project fits well into this landscape, since they released their
scenario data as open data:
https://www.pac-scenarios.eu/fileadmin/user_upload/201014_PAC_scenario_data_web.xlsx
Best wishes,
Tom
On 26/02/2021 08:50, Robbie Morrison wrote:
> Hello all
>
> The Renewables Grid Initiative (RGI) recently issued an appeal for NGOs
> in the energy and climate space to embrace open energy system modeling.
> See the direct references and cited references below for details.
>
> As mentioned earlier, RGI act as an interface between the electricity
> industry and the aforementioned NGOs within Europe.
>
> The open source PyPSA
> else (Tom?) on this list knows?
>
> with best wishes, Robbie
>
>
> Direct references
>
> modelling: why NGOs should engage with the topic/
> <file:~/Documents/20210225_Open_Source_appeal.pdf>. Berlin, Germany:
>
> RGI (23 February 2021). A call for an open source culture in energy
> system modelling
>
>
> Cited references
>
> Cattaneo, Bruno (28 March 2019). Commission makes it even easier for
> citizens to reuse all information it publishes online
> /EU Science Hub — European Commission/. Last update: 5 April 2019.
> Hainsch, Karlo, Hanna Brauers, Thorsten Burandt, Leonard Göke, Christian
> von Hirschhausen, Claudia Kemfert, Mario Kendziorski, Konstantin
> <https://www.diw.de/documents/publikationen/73/diw_01.c.791736.de/diwkompakt_2020-153.pdf>.
> Wirtschaftsforschung). ISBN 978‑3‑946417‑44‑6.
>
> Hirth, Lion, Ingmar Schlecht, and Jonathan Mühlenpfordt (6 November
> <https://www.bmwi.de/Redaktion/EN/Publikationen/Studien/open-Data-for-electricity-modeling.pdf?__blob=publicationFile&v=6>.
> Ministry for Economic Affairs and Energy, Germany.
>
> scenarios with PyPSA‑Eur‑Sec — Presentation/
> <https://www.pac-scenarios.eu/fileadmin/user_upload/KIT_Aarhus_University_PAC_scenarios_with_PyPSA-Eur-Sec_15oct20.pdf>.
>
> --
> Robbie Morrison
> Address: Schillerstrasse 85, 10627 Berlin, Germany
> Phone: +49.30.612-87617
>
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--
Karlsruhe Institute of Technology (KIT)
Institute for Automation and Applied Informatics (IAI)
Tom Brown (he/him)
Research Group Leader, Energy System Modelling
Phone: +49 721 608 25737
Fax: +49 721 608 22602
Group website: https://www.iai.kit.edu/english/ESM.php
Personal website: https://nworbmot.org/
Visitor Address:
Office 309
Campus North Building 445
Hermann-von-Helmholtz-Platz 1
76344 Eggenstein-Leopoldshafen
Tom Brown
In case any of you are shy of opening PDFs and don't get to page 4, let
me reproduce the 5-point punch of their argument. It's very useful to
see this from a perspective outside research:
# Advantages of open source data and code at a glance
- *Transparency*: A fundamental quality of open source software and open
source data is transparency. Transparent structures enable results to be
traced, thus increasing trust in the necessity of measures and therefore
*acceptability*. This is a central issue, for example when dealing with
infrastructural measures such as grid development for the energy transition.
- *Promotion of decision-making processes*: If the reasoning behind
measures is recognised and accepted by various actors, then results can
be discussed more easily, and compromises found more quickly.
- *Increase in quality*: Open source enables developers from different
institutions and elsewhere to work simultaneously on the expansion of a
model system and the joint use of the software modules developed by the
various teams. This way, errors can be identified more quickly, and
simulations improved. This increases the speed of further developments
and helps make simulations more robust.
- *Cost savings*: At present, similar modelling questions are repeatedly
investigated using public funds. With open source software, parts of
programmes can be used repeatedly, further developed and adapted. This
leads to reduced development costs.
- *Avoidance of consultant lock-in*: If studies are commissioned based
on open data and open code, the data can be reused by the commissioning
entity or a different consultant in the future.
Best wishes,
Tom