%0 Journal Article
%T Uncertainty in techno-economic estimates of cellulosic ethanol production due to experimental measurement uncertainty
%A Kristin J Vicari
%A Sai Sandeep Tallam
%A Tatyana Shatova
%A Kang Joo Koh
%A Christopher J Scarlata
%A David Humbird
%A Edward J Wolfrum
%A Gregg T Beckham
%J Biotechnology for Biofuels
%D 2012
%I BioMed Central
%R 10.1186/1754-6834-5-23
%X We calculate the uncertainty in the Minimum Ethanol Selling Price (MESP) estimate for lignocellulosic ethanol production via a biochemical conversion process: dilute sulfuric acid pretreatment of corn stover followed by enzymatic hydrolysis and co-fermentation of the resulting sugars to ethanol. We perform a sensitivity analysis on the TE model and identify the feedstock composition and conversion yields from three unit operations (xylose from pretreatment, glucose from enzymatic hydrolysis, and ethanol from fermentation) as the most important variables. The uncertainty in the pretreatment xylose yield arises from multiple measurements, whereas the glucose and ethanol yields from enzymatic hydrolysis and fermentation, respectively, are dominated by a single measurement: the fraction of insoluble solids (fIS) in the biomass slurries.We calculate a $0.15/gal uncertainty in MESP from the TE model due to uncertainties in primary measurements. This result sets a lower bound on the error bars of the TE model predictions. This analysis highlights the primary measurements that merit further development to reduce the uncertainty associated with their use in TE models. While we develop and apply this mathematical framework to a specific biorefinery scenario here, this analysis can be readily adapted to other types of biorefining processes and provides a general framework for propagating uncertainty due to analytical measurements through a TE model.
%K Pretreatment
%K Enzymatic hydrolysis
%K Fermentation
%K Process modeling
%K Biochemical conversion
%K Techno-economic modeling
%U http://www.biotechnologyforbiofuels.com/content/5/1/23/abstract