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Inline Spectroscopy‐Based Optimization of Chemical Reactions Considering Dynamic Process Conditions
Author(s) -
Trunina Diana,
Liauw Marcel A.
Publication year - 2020
Publication title -
chemie ingenieur technik
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.365
H-Index - 36
eISSN - 1522-2640
pISSN - 0009-286X
DOI - 10.1002/cite.201900145
Subject(s) - process engineering , process (computing) , work (physics) , renewable energy , biomass (ecology) , wind power , biochemical engineering , power (physics) , computer science , energy (signal processing) , environmental science , process optimization , chemical industry , engineering , mechanical engineering , environmental engineering , electrical engineering , physics , quantum mechanics , operating system , oceanography , statistics , mathematics , geology
The demand for sustainable energy sources, like biomass, solar energy, hydro and wind power, is connected to challenges like energy storage and fluctuating energy supply. Regarding the second challenge, industry has to evolve their existing processes from steady state processes to dynamic ones. This work is concerned with the conception of an inline spectroscopy‐based optimization routine for chemical reactions under dynamic process conditions, which implements the search for a well applicable optimization algorithm. The studied reaction to reach this goal is a nitroaldol condensation.