Stochastic Modeling of the Biodiesel Production Process
S. Abbasi, U. Diwekar
University of Illinois at Chicago, US
Keywords: uncertainties, biodiesel, feedstock, stochastic modeling
Abstract:There are inherent uncertainties in the biodiesel production process arising out of feedstock compositions, operating parameters and mechanical equipment design and can have significant impact on the product quality and process economics. The uncertainties are quantified in the form of probabilistic distribution function. Stochastic modeling capability is implemented in the ASPEN process simulator to take into consideration these uncertainties and the output is evaluated to determine impact on plant efficiency.