2014
DOI: 10.1039/c3gc41314d
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Mild catalytic pyrolysis of biomass for production of transportation fuels: a techno-economic analysis

Abstract: A techno-economic analysis of mild catalytic pyrolysis (CP) of woody biomass followed by upgrading of the partially deoxygenated pyrolysis liquid is performed to assess this pathway's economic feasibility for the production of hydrocarbon-based biofuels. The process achieves a fuel yield of 17.7 wt% and an energy conversion of 39%. Deoxygenation of the pyrolysis liquid requires 2.7 wt% hydrogen while saturation of aromatic rings in the pyrolysis liquid increases total hydrogen consumption to 6.4 wt%. Total pro… Show more

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Cited by 87 publications
(66 citation statements)
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References 30 publications
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“…This methodology fails to account for the magnitude, frequency, and compound nature of factor variation that is likely to be encountered by a commercial-scale thermochemical cellulosic biorefinery. Some recent TEAs have included uncertainty analyses of the pathways considered in the form of Monte Carlo simulations or Latin Hypercube Sampling as a means of quantifying the impact of simultaneous factor changes on the TEA result (Thilakaratne et al, 2014;Zhang et al, 2013;Zhu et al, 2014). While superior to a sensitivity analysis, most of these uncertainty analyses employ factor probability distributions that are chosen arbitrarily.…”
Section: Pathway Modeling Assumptions and Uncertaintymentioning
confidence: 99%
“…This methodology fails to account for the magnitude, frequency, and compound nature of factor variation that is likely to be encountered by a commercial-scale thermochemical cellulosic biorefinery. Some recent TEAs have included uncertainty analyses of the pathways considered in the form of Monte Carlo simulations or Latin Hypercube Sampling as a means of quantifying the impact of simultaneous factor changes on the TEA result (Thilakaratne et al, 2014;Zhang et al, 2013;Zhu et al, 2014). While superior to a sensitivity analysis, most of these uncertainty analyses employ factor probability distributions that are chosen arbitrarily.…”
Section: Pathway Modeling Assumptions and Uncertaintymentioning
confidence: 99%
“…This analysis utilizes the same methodology as that used by Ref. [42] to estimate the product distribution of hydroprocessing. The model assumes that 85% of the oxygen in the bio-crude is removed as water, and the rest is removed as carbon dioxide.…”
Section: Upgradingmentioning
confidence: 99%
“…This process employs a two-stage hydroprocessing unit where the first stage operates at mild conditions (200 C, 11.7 MPa) to stabilize the bio-crude, and the second stage operates at more severe conditions (400 C, 11.7 MPa) [42].…”
Section: Upgradingmentioning
confidence: 99%
“…TEA of catalytic fast pyrolysis has received growing interest in recent years in particular. Previous studies show that the minimum fuel-selling price (MFSP) of biofuel produced by pyrolysis can vary within a fairly large range ($0.5-$2.1 per liter) (Anex et al, 2010;Brown et al, 2013;Thilakaratne, 2014;Wright et al, 2010), which may be attributed to several reasons: (1) differences in system configurations, (2) variability in assumptions for parameter values, and (3) inconsistencies in approaches to address technical and market uncertainty (Brown and Wright, 2014).…”
Section: Introductionmentioning
confidence: 98%
“…Monte Carlo simulations generate parameter samples randomly to quantitatively analyze the output uncertainty level. Although there are numerous comparison studies that evaluate biomass to transportation fuel pathways, few have incorporated the use of stochastic simulations (Anex et al, 2010;Bridgwater et al, 2002;Brown and Wright, 2014;Swanson et al, 2010;Thilakaratne, 2014;Wright et al, 2010;Zhang et al, 2013).…”
Section: Introductionmentioning
confidence: 99%