Model-based run-to-run optimization under uncertainty of biodiesel production
Martin F. Luna and Ernesto C. Martinez, INGAR (CONICET-UTN), Avellaneda 3657, S3002 GJC Santa Fe, Argentina
Abstract
A significant source of uncertainty in biodiesel production is the variability of feed composition since the percentage and type of triglycerides varies considerably across different raw materials. Also, due to the complexity of both transesterification and saponification kinetics, first-principles models of biodiesel production typically have built-in errors (structural and parametric uncertainty) which give rise to the need for obtaining relevant data through experimental design in modeling for optimization. A run-to-run optimization strategy which ...
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