P2Chem: New mixed-integer optimization methods for efficient synthesis and flexible management of power-to-chemicals processes.

The joint project “P2Chem” is looking at power-to-chemicals processes that use electricity to produce high-value chemicals. A wide variety of components, such as catalytic reactors or electrolysis cells, can be used and combined to produce the target product, synthesis gas. This can ultimately be used to produce many important basic chemicals such as methanol, formic acid or phosgene. The aim of the joint project is to investigate systematically and with the aid of modern mathematics which variants of P2Chem can make meaningful contributions to the use of renewable energy for chemical production under which framework conditions. New methods for the deterministic solution of mixed-integer nonlinear optimization problems (MINLP) will be created. The industrial partners “Avacon AG”, as a large German energy supplier and “BASF SE”, that world’s largest chemical company support and lead this project by means of their driving questions.

Participations:
Otto von Guericke University Magdeburg
Prof. Dr. Sebastian Sager
Faculty of Mathematics, Institute for Mathematical Optimization
University Square 2, 39106 Magdeburg
Tel.: +49 391 6758745
sager(at)ovgu.com

associated partners:
Prof. Dr. Peter Benner
Prof. Dr. Kai Sundermacher
Chemnitz University of Technology
Prof. Dr. Martin Stoll
Faculty of Mathematics, Chair of Scientific Computing
Reichenhainer Str. 41, Room 605, 09126 Chemnitz
E-mail: martin.stoll@math.tu-chemnitz.de

More partners
AVACON
BASF

Project duration: 01.04.2018 to 31.03.2021
Funding source: Bund-Länder Commission for Educational Planning & Research Promotion
Website link: https://www.tu-chemnitz.de/mathematik/wire/projects/p2chem.php