W
Wolfgang Marquardt
Researcher at RWTH Aachen University
Publications - 548
Citations - 14436
Wolfgang Marquardt is an academic researcher from RWTH Aachen University. The author has contributed to research in topics: Optimization problem & Nonlinear system. The author has an hindex of 62, co-authored 548 publications receiving 13406 citations. Previous affiliations of Wolfgang Marquardt include École Polytechnique Fédérale de Lausanne & University of Wisconsin-Madison.
Papers
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Journal ArticleDOI
Selective and flexible transformation of biomass-derived platform chemicals by a multifunctional catalytic system
Frank M. A. Geilen,Barthel Engendahl,Andreas Harwardt,Wolfgang Marquardt,Jürgen Klankermayer,Walter Leitner +5 more
TL;DR: Analysis of reaction pathways for a variety of chemical structures formed from levulinic acid and itaconic acid as platform chemicals in a cellulose-based supply chain, which exemplifies how a diverse range of highly attractive products and building blocks could be derived from Levulinicacid (LA), which is accessible from wood-based feedstocks, and itaconsic acid, which can be obtained from green biomass.
Journal ArticleDOI
Separation of butanol from acetone–butanol–ethanol fermentation by a hybrid extraction–distillation process
TL;DR: It is shown that the total annualized costs of the novel process are considerably lower compared to the costs of alternative hybrid or pure distillation processes.
Book ChapterDOI
Introduction to Model Based Optimization of Chemical Processes on Moving Horizons
T. Binder,Luise Blank,H. Georg Bock,Roland Bulirsch,Wolfgang Dahmen,Moritz Diehl,Thomas Kronseder,Wolfgang Marquardt,Johannes P. Schlöder,Oskar von Stryk +9 more
TL;DR: This contribution provides a concise introduction into problem formulation and standard numerical techniques commonly found in the context of moving horizon optimization using nonlinear differential algebraic process models.
Journal ArticleDOI
Dynamic optimization using adaptive control vector parameterization
TL;DR: This paper presents a method for the optimization of dynamic systems using problem-adapted discretizations, based on the direct sequential or single-shooting approach, where the optimization problem is converted into a nonlinear programming problem by parameterization of the control profiles.
Journal ArticleDOI
Perspectives for process systems engineering—Personal views from academia and industry
TL;DR: This essay redefines PSE as an active and future-proof research field which can play an active role in providing enabling technologies for product and process innovations in the chemical industries and beyond.