BibTeX
@INCOLLECTION{
         Garmatter2021PtC,
       author = "Garmatter, Dominik and Maggi, Andrea and Wenzel, Marcus and Monem, Shaimaa and Hahn,
         Mirko and Stoll, Martin and Sager, Sebastian and Benner, Peter and Sundmacher, Kai",
       editor = "G{\"o}ttlich, Simone and Herty, Michael and Milde, Anja",
       title = "Power-to-Chemicals: A Superstructure Problem for Sustainable Syngas Production",
       booktitle = "Mathematical Modeling, Simulation and Optimization for Power Engineering and
         Management",
       year = "2021",
       publisher = "Springer International Publishing",
       address = "Cham",
       pages = "145--168",
       abstract = "A novel benchmark superstructure is defined for the production of syngas from
         renewable energy, {\$}{\$}{\backslash}mathrm
         {\{}H{\_}2{\}}{\$}{\$}H2, {\$}{\$}{\backslash}mathrm
         {\{}CO{\_}2{\}}{\$}{\$}CO2and biogas. Fixed bed reactors (FBR) for the dry
         reforming (DR) or the reverse water gas shift (RWGS) are used to convert the reactants into raw
         syngas, which is then purified in a sequence of pressure and/or temperature swing adsorption
         (PSA/TSA) steps. We discuss the simulation of the resulting model equations. The complexity of the
         dynamic process model is tackled by model order reduction and parallel-in-time integration using
         parareal in order to allow a faster model evaluation in particular for the multi-query context
         arising in a design optimization process. Future challenges regarding mixed-integer optimization and
         more complex model dynamics are discussed.",
       isbn = "978-3-030-62732-4",
       doi = "10.1007/978-3-030-62732-4_7",
       url = "https://doi.org/10.1007/978-3-030-62732-4_7",
       ad_area = "Chemistry",
       ad_tools = "ADiMat"
}