Showing papers by "Andrea Walther published in 2015"
TL;DR: In this article, a superstructure-based approach for PSA optimization is presented, which allows simultaneous selection of PSA cycle steps and optimization of operating parameters (feed flow rate, recycle fractions, bed pressures, etc.).
Abstract: Advanced process optimization technologies play a critical role in improving economics of carbon capture technologies. Pressure swing adsorption (PSA) has received recent attention as a potential process for economically removing CO 2 from flue and/or shifted syngas for carbon capture and storage. In this work, we present state-of-the-art methods for PSA optimization using a superstructure-based approach; this allows simultaneous selection of PSA cycle steps and optimization of operating parameters (feed flow rate, recycle fractions, bed pressures, etc.). The partial differential equation bed models are discretized with finite volumes in space and two flux limiters are compared. Sparse linear solvers are implemented to accelerate the integration of bed models and direct sensitivity equations, which are interfaced to MATLAB. The PSA optimization approach is demonstrated on a CO 2 /H 2 separation case study for an integrated gasification combine cycle power plant, and solved by sequential quadratic programming solvers.
7 citations
TL;DR: Grose zylindrische Stahlpruflinge werden mittels der Methode der finiten Differenzen im Zeitbereich (engl. finite differences in time domain, FDTD) simulativ untersucht as discussed by the authors.
Abstract: Grose zylindrische Stahlpruflinge werden mittels der Methode der finiten Differenzen im Zeitbereich (engl. finite differences in time domain, FDTD) simulativ untersucht. Dabei werden Pitch-Catch-Messanordnungen verwendet. Es werden zwei Bildgebungsansatze vorgestellt: ersterer basiert auf dem Imaging Principle nach Claerbout, letzterer basiert auf gradientenbasierter Optimierung eines Zielfunktionals.