Indirect Measurement of Variables in a Heterogeneous Reaction for Biodiesel Production

• Published in: Methods and protocols Vol. 7; no. 2; p. 27
• Main Authors: González-García, Ana Paloma, Díaz-Jiménez, Lourdes, Padmadas, Padmasree K., Carlos-Hernández, Salvador
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 01.04.2024
• Subjects: Algorithms; Analysis; Artificial intelligence; batch reactor; Biodiesel fuels; Biofuels; Catalysis; Catalysts; Chromatography; Costs; Differential equations; Esters; Glycerol; heterogeneous catalyst; Machine learning; Mathematical models; Measurement; Neural networks; nonlinear model; Sensors; soft sensor; state estimation; Triglycerides; Variables; heterogeneous catalyst; nonlinear model; soft sensor; state estimation; batch reactor

This research focuses on the development of a state observer for performing indirect measurements of the main variables involved in the soybean oil transesterification reaction with a guishe biochar-based heterogeneous catalyst; the studied reaction takes place in a batch reactor. The mathematical m...