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Simultaneous application of predictive model and least cost formulation can substantially benefit biorefineries outside Corn Belt in United States: A case study in Florida

Journal Article · · Bioresource Technology
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  1. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Advanced Biofuels Process Demonstration Unit (AB-PDU) and Biological Systems and Engineering Division
  2. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Biological Systems and Engineering Division
  3. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Advanced Biofuels Process Demonstration Unit (AB-PDU); Idaho National Lab. (INL), Idaho Falls, ID (United States). Energy and Environment Science and Technology
  4. Idaho National Lab. (INL), Idaho Falls, ID (United States). Energy and Environment Science and Technology
  5. Sandia National Lab. (SNL-CA), Livermore, CA (United States). Biofuels and Biomaterials Science and Technology
+ Show Author Affiliations
Previously, a predictive model was developed to identify optimal blends of expensive high-quality and cheaper low-quality feedstocks for a given geographical location that can deliver high sugar yields. Here, the optimal process conditions were tested for application at commercially-relevant higher biomass loadings. We observed lower sugar yields but 100% conversion to ethanol from a blend that contained only 20% high-quality feedstock. The impact of applying this predictive model simultaneously with least cost formulation model for a biorefinery location outside of the US Corn Belt in Lee County, Florida was investigated. A blend ratio of 0.30 EC, 0.45 SG, and 0.25 CS in Lee County was necessary to produce sugars at high yields and ethanol at a capacity of 50 MMGY. This work demonstrates utility in applying predictive model and LCF to reduce feedstock costs and supply chain risks while optimizing for product yields.
Research Organization:
Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
Sponsoring Organization:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Transportation Office. Bioenergy Technologies Office; USDOE Office of Science (SC)
Grant/Contract Number:
AC02-05CH11231
OSTI ID:
1650040
Journal Information:
Bioresource Technology, Journal Name: Bioresource Technology Vol. 271; ISSN 0960-8524
Publisher:
ElsevierCopyright Statement
Country of Publication:
United States
Language:
English

References (19)

Scale-Up of Ionic Liquid-Based Fractionation of Single and Mixed Feedstocks journal February 2015
Sources of Biomass Feedstock Variability and the Potential Impact on Biofuels Production journal November 2015
Coordinated development of leading biomass pretreatment technologies journal December 2005
Combined sugar yields for dilute sulfuric acid pretreatment of corn stover followed by enzymatic hydrolysis of the remaining solids journal December 2005
Comparative sugar recovery data from laboratory scale application of leading pretreatment technologies to corn stover journal December 2005
Comparison of dilute acid and ionic liquid pretreatment of switchgrass: Biomass recalcitrance, delignification and enzymatic saccharification journal July 2010
Influence of physico-chemical changes on enzymatic digestibility of ionic liquid and AFEX pretreated corn stover journal July 2011
Blending municipal solid waste with corn stover for sugar production using ionic liquid process journal June 2015
Techno-economic comparison of centralized versus decentralized biorefineries for two alkaline pretreatment processes journal February 2017
Predictive modeling to de-risk bio-based manufacturing by adapting to variability in lignocellulosic biomass supply journal November 2017
Combine Molecular Modeling with Optimization to Stretch Refinery Operation journal January 2002
Transforming biomass conversion with ionic liquids: process intensification and the development of a high-gravity, one-pot process for the production of cellulosic ethanol journal January 2016
Demonstrating a separation-free process coupling ionic liquid pretreatment, saccharification, and fermentation with Rhodosporidium toruloides to produce advanced biofuels journal January 2018
Scale-up and evaluation of high solid ionic liquid pretreatment and enzymatic hydrolysis of switchgrass journal January 2013
A comparative study of ethanol production using dilute acid, ionic liquid and AFEX™ pretreated corn stover journal January 2014
Understanding cost drivers and economic potential of two variants of ionic liquid pretreatment for cellulosic biofuel production journal January 2014
Process Design and Economics for Biochemical Conversion of Lignocellulosic Biomass to Ethanol: Dilute-Acid Pretreatment and Enzymatic Hydrolysis of Corn Stover report March 2011
NREL 2012 Achievement of Ethanol Cost Targets: Biochemical Ethanol Fermentation via Dilute-Acid Pretreatment and Enzymatic Hydrolysis of Corn Stover report April 2014
Impact of mixed feedstocks and feedstock densification on ionic liquid pretreatment efficiency journal January 2013

Cited By (1)

Editorial: Advancements in Biomass Feedstock Preprocessing: Conversion Ready Feedstocks journal December 2019

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Related Subjects

09 BIOMASS FUELS
biomass blends
fermentation
impact analysis
least cost formulation (LCF)
predictive model