[Opt-Net] Conference MOG 2024 - Mathematics of Gas Transport and Energy

[Kevin-Martin Aigner]

We are pleased to announce the fourth edition of the international 
conference

„Mathematics of Gas Transport and Energy MOG 2024"

on October, the 10th and 11th, 2024, in Regensburg, Germany.

The two-day conference aims at connecting leading experts in applied 
mathematics with leading stakeholders from the industry and the public 
sector that are concerned with the transition of the energy system. It 
aims at stimulating fruitful discussions between academic partners and 
representatives from other sectors on today´s broad challenges in the 
energy sector, taking into account the transition from natural gas to 
hydrogen networks, its coupling with electricity, and related topics.

More information and registration (until 15 July 2024) is available 
under https://www.trr154.fau.de/mog2024/.

The conference is organized by the German Collaborative Research Center 
TRR154 („Mathematical Modelling, Simulation and Optimization using the
Example of Gas Networks“) funded by the German Science foundation, see 
https://www.trr154.fau.de/trr-154-en/

Regensburg is located at the Danube’s northernmost point, in between the 
Gäuboden region and the two low mountain ranges Fränkische Jura and 
Bayerischer Wald. The international airports Nuremberg and Munich are 
only a 60 minute drive away. Due to its unique status as "the only 
authentically preserved large medieval city in Germany" the Old Town 
Regensburg with Stadtamhof" was inscribed as a UNESCO World Heritage 
Site in 2006.

For earlier editions of the conference, see
https://mog2.zib.de/index.html and
https://www.trr154.fau.de/trends-in-mathematical-modelling-simulation-and-optimisation/
(organized together with the Marie-Curie ITN MINOA and the ADA Lovelace
Center)

-- 
Dr. Kevin-Martin Aigner
Friedrich-Alexander-Universität Erlangen-Nürnberg
Department of Data Science
Cauerstraße 11, D-91058 Erlangen, Germany
Phone: +49 9131/85-67181
https://www.datascience.nat.fau.eu/research/groups/ouda/members/kevin-martin-aigner/