Multiobjective Optimization for Robust Inline Analytics in Biorefinery Processes
For the development of lignocellulosic biomass and the resulting sugars as a renewable resource for the chemical industry multiphase reaction systems can be applied . They allow the acid-catalyzed conversion of sugars in the aqueous phase, while protecting the intermediate and final products against unwanted side reactions by in situ extraction into the organic phase. For fast, direct, and non-invasive characterization of these complex chemical systems, inline spectroscopy, such as infrared, Raman, or UV / Vis spectroscopy has proven to be very beneficial [2,3]. Indirect Hard Modeling (IHM) can be used for a robust and quantitative evaluation of the acquired measurement signals [3,4]. With this method, spectral signals are modeled by weighted sums of mathematical functions and optimized in a regression step.
In this simulative work, IHM is to be expanded by establishing new optimization criteria (multiobjective optimization), thereby making it significantly more robust for the respective applications. Working platforms are MATLAB and PEAXACT.
The simulative work is co-supervised by Alexander Echtermeyer and Artur Schweidtmann and can be written in German or English. In case of interest, you are welcome to contact us with a short resume and your current sheet of records to make an appointment.
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