Assessing pretreatment reactor scaling through empirical analysis
Abstract
Pretreatment is a critical step in the biochemical conversion of lignocellulosic biomass to fuels and chemicals. Due to the complexity of the physicochemical transformations involved, predictively scaling up technology from bench- to pilot-scale is difficult. This study examines how pretreatment effectiveness under nominally similar reaction conditions is influenced by pretreatment reactor design and scale using four different pretreatment reaction systems ranging from a 3 g batch reactor to a 10 dry-ton/d continuous reactor. The reactor systems examined were an Automated Solvent Extractor (ASE), Steam Explosion Reactor (SER), ZipperClave(R) reactor (ZCR), and Large Continuous Horizontal-Screw Reactor (LHR). To our knowledge, this is the first such study performed on pretreatment reactors across a range of reaction conditions (time and temperature) and at different reactor scales. The comparative pretreatment performance results obtained for each reactor system were used to develop response surface models for total xylose yield after pretreatment and total sugar yield after pretreatment followed by enzymatic hydrolysis. Near- and very-near-optimal regions were defined as the set of conditions that the model identified as producing yields within one and two standard deviations of the optimum yield. Optimal conditions identified in the smallest-scale system (the ASE) were within the near-optimal region of themore »
- Authors:
- Publication Date:
- Research Org.:
- National Renewable Energy Laboratory (NREL), Golden, CO (United States)
- Sponsoring Org.:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE)
- OSTI Identifier:
- 1618648
- Alternate Identifier(s):
- OSTI ID: 1329365
- Report Number(s):
- NREL/JA-5100-66693
Journal ID: ISSN 1754-6834; 213; PII: 620
- Grant/Contract Number:
- AC36-08GO28308
- Resource Type:
- Published Article
- Journal Name:
- Biotechnology for Biofuels
- Additional Journal Information:
- Journal Name: Biotechnology for Biofuels Journal Volume: 9 Journal Issue: 1; Journal ID: ISSN 1754-6834
- Publisher:
- Springer Science + Business Media
- Country of Publication:
- Netherlands
- Language:
- English
- Subject:
- 09 BIOMASS FUELS; biomass; biofuels; pretreatment; enzymatic digestibility
Citation Formats
Lischeske, James J., Crawford, Nathan C., Kuhn, Erik, Nagle, Nicholas J., Schell, Daniel J., Tucker, Melvin P., McMillan, James D., and Wolfrum, Edward J. Assessing pretreatment reactor scaling through empirical analysis. Netherlands: N. p., 2016.
Web. doi:10.1186/s13068-016-0620-0.
Lischeske, James J., Crawford, Nathan C., Kuhn, Erik, Nagle, Nicholas J., Schell, Daniel J., Tucker, Melvin P., McMillan, James D., & Wolfrum, Edward J. Assessing pretreatment reactor scaling through empirical analysis. Netherlands. https://doi.org/10.1186/s13068-016-0620-0
Lischeske, James J., Crawford, Nathan C., Kuhn, Erik, Nagle, Nicholas J., Schell, Daniel J., Tucker, Melvin P., McMillan, James D., and Wolfrum, Edward J. Mon .
"Assessing pretreatment reactor scaling through empirical analysis". Netherlands. https://doi.org/10.1186/s13068-016-0620-0.
@article{osti_1618648,
title = {Assessing pretreatment reactor scaling through empirical analysis},
author = {Lischeske, James J. and Crawford, Nathan C. and Kuhn, Erik and Nagle, Nicholas J. and Schell, Daniel J. and Tucker, Melvin P. and McMillan, James D. and Wolfrum, Edward J.},
abstractNote = {Pretreatment is a critical step in the biochemical conversion of lignocellulosic biomass to fuels and chemicals. Due to the complexity of the physicochemical transformations involved, predictively scaling up technology from bench- to pilot-scale is difficult. This study examines how pretreatment effectiveness under nominally similar reaction conditions is influenced by pretreatment reactor design and scale using four different pretreatment reaction systems ranging from a 3 g batch reactor to a 10 dry-ton/d continuous reactor. The reactor systems examined were an Automated Solvent Extractor (ASE), Steam Explosion Reactor (SER), ZipperClave(R) reactor (ZCR), and Large Continuous Horizontal-Screw Reactor (LHR). To our knowledge, this is the first such study performed on pretreatment reactors across a range of reaction conditions (time and temperature) and at different reactor scales. The comparative pretreatment performance results obtained for each reactor system were used to develop response surface models for total xylose yield after pretreatment and total sugar yield after pretreatment followed by enzymatic hydrolysis. Near- and very-near-optimal regions were defined as the set of conditions that the model identified as producing yields within one and two standard deviations of the optimum yield. Optimal conditions identified in the smallest-scale system (the ASE) were within the near-optimal region of the largest scale reactor system evaluated. A reaction severity factor modeling approach was shown to inadequately describe the optimal conditions in the ASE, incorrectly identifying a large set of sub-optimal conditions (as defined by the RSM) as optimal. The maximum total sugar yields for the ASE and LHR were 95%, while 89% was the optimum observed in the ZipperClave. The optimum condition identified using the automated and less costly to operate ASE system was within the very-near-optimal space for the total xylose yield of both the ZCR and the LHR, and was within the near-optimal space for total sugar yield for the LHR. This indicates that the ASE is a good tool for cost effectively finding near-optimal conditions for operating pilot-scale systems, which may be used as starting points for further optimization. Additionally, using a severity-factor approach to optimization was found to be inadequate compared to a multivariate optimization method. As a result, the ASE and the LHR were able to enable significantly higher total sugar yields after enzymatic hydrolysis relative to the ZCR, despite having similar optimal conditions and total xylose yields. This underscores the importance of incorporating mechanical disruption into pretreatment reactor designs to achieve high enzymatic digestibilities.},
doi = {10.1186/s13068-016-0620-0},
journal = {Biotechnology for Biofuels},
number = 1,
volume = 9,
place = {Netherlands},
year = {Mon Oct 10 00:00:00 EDT 2016},
month = {Mon Oct 10 00:00:00 EDT 2016}
}
https://doi.org/10.1186/s13068-016-0620-0
Web of Science
Figures / Tables:
Works referenced in this record:
A laboratory-scale pretreatment and hydrolysis assay for determination of reactivity in cellulosic biomass feedstocks
journal, January 2013
- Wolfrum, Edward J.; Ness, Ryan M.; Nagle, Nicholas J.
- Biotechnology for Biofuels, Vol. 6, Issue 1
Impact of delignification on the morphology and the reactivity of steam exploded wheat straw
journal, January 2016
- Huron, Maïté; Hudebine, Damien; Ferreira, Nicolas Lopes
- Industrial Crops and Products, Vol. 79
Importance of chemical pretreatment for bioconversion of lignocellulosic biomass
journal, August 2014
- Behera, Shuvashish; Arora, Richa; Nandhagopal, N.
- Renewable and Sustainable Energy Reviews, Vol. 36
Process and technoeconomic analysis of leading pretreatment technologies for lignocellulosic ethanol production using switchgrass
journal, December 2011
- Tao, Ling; Aden, Andy; Elander, Richard T.
- Bioresource Technology, Vol. 102, Issue 24, p. 11105-11114
Lignin extraction distinctively enhances biomass enzymatic saccharification in hemicelluloses-rich Miscanthus species under various alkali and acid pretreatments
journal, May 2015
- Si, Shengli; Chen, Yan; Fan, Chunfen
- Bioresource Technology, Vol. 183
Effect of mechanical disruption on the effectiveness of three reactors used for dilute acid pretreatment of corn stover Part 2: morphological and structural substrate analysis
journal, January 2014
- Ciesielski, Peter N.; Wang, Wei; Chen, Xiaowen
- Biotechnology for Biofuels, Vol. 7, Issue 1
Dilute-Sulfuric Acid Pretreatment of Corn Stover in Pilot-Scale Reactor: Investigation of Yields, Kinetics, and Enzymatic Digestibilities of Solids
journal, January 2003
- Schell, Daniel J.; Farmer, Jody; Newman, Millie
- Applied Biochemistry and Biotechnology, Vol. 105, Issue 1-3, p. 69-86
Production of Ethanol from Cellulosic Biomass Hydrolysates Using Genetically Engineered <I>Saccharomyces</I> Yeast Capable of Cofermenting Glucose and Xylose
journal, January 2004
- Sedlak, Miroslav; Ho, Nancy W. Y.
- Applied Biochemistry and Biotechnology, Vol. 114, Issue 1-3
Deposition of Lignin Droplets Produced During Dilute Acid Pretreatment of Maize Stems Retards Enzymatic Hydrolysis of Cellulose
journal, December 2007
- Selig, M. J.; Viamajala, S.; Decker, S. R.
- Biotechnology Progress, Vol. 23, Issue 6
Biomass pretreatment: Fundamentals toward application
journal, November 2011
- Agbor, Valery B.; Cicek, Nazim; Sparling, Richard
- Biotechnology Advances, Vol. 29, Issue 6
Pretreatment-Catalyst effects and the combined severity parameter
journal, March 1990
- Chum, Helena L.; Johnson, David K.; Black, Stuart K.
- Applied Biochemistry and Biotechnology, Vol. 24-25, Issue 1
Wheat Straw Autohydrolysis: Process Optimization and Products Characterization
journal, December 2008
- Carvalheiro, Florbela; Silva-Fernandes, Talita; Duarte, Luís C.
- Applied Biochemistry and Biotechnology, Vol. 153, Issue 1-3
Compositional Analysis of Lignocellulosic Feedstocks. 2. Method Uncertainties
journal, August 2010
- Templeton, David W.; Scarlata, Christopher J.; Sluiter, Justin B.
- Journal of Agricultural and Food Chemistry, Vol. 58, Issue 16
Phenomenological kinetics of complex systems: the development of a generalized severity parameter and its application to lignocellulosics fractionation
journal, April 1992
- Abatzoglou, Nicolas; Chornet, Esteban; Belkacemi, Khaled
- Chemical Engineering Science, Vol. 47, Issue 5
Efficacy of a Hot Washing Process for Pretreated Yellow Poplar to Enhance Bioethanol Production
journal, August 2002
- Nagle, N. J.; Elander, R. T.; Newman, M. M.
- Biotechnology Progress, Vol. 18, Issue 4
Features of promising technologies for pretreatment of lignocellulosic biomass
journal, April 2005
- Mosier, Nathan; Wyman, Charles; Dale, Bruce
- Bioresource Technology, Vol. 96, Issue 6, p. 673-686
Online residence time distribution measurement of thermochemical biomass pretreatment reactors
journal, February 2016
- Sievers, David A.; Kuhn, Erik M.; Stickel, Jonathan J.
- Chemical Engineering Science, Vol. 140
Compositional Analysis of Lignocellulosic Feedstocks. 1. Review and Description of Methods
journal, August 2010
- Sluiter, Justin B.; Ruiz, Raymond O.; Scarlata, Christopher J.
- Journal of Agricultural and Food Chemistry, Vol. 58, Issue 16, p. 9043-9053
Lignocellulose pretreatment severity – relating pH to biomatrix opening
journal, December 2010
- Pedersen, Mads; Meyer, Anne S.
- New Biotechnology, Vol. 27, Issue 6
Structural reorganisation of cellulose fibrils in hydrothermally deconstructed lignocellulosic biomass and relationships with enzyme digestibility
journal, January 2013
- Ibbett, Roger; Gaddipati, Sanyasi; Hill, Sandra
- Biotechnology for Biofuels, Vol. 6, Issue 1
Characterization of pilot-scale dilute acid pretreatment performance using deacetylated corn stover
journal, January 2014
- Shekiro III, Joseph; Kuhn, Erik M.; Nagle, Nicholas J.
- Biotechnology for Biofuels, Vol. 7, Issue 1
Large-scale enzymatic hydrolysis of agricultural lignocellulosic biomass. Part 1: Pretreatment procedures
journal, January 1992
- Ropars, M.; Marchal, R.; Pourquié, J.
- Bioresource Technology, Vol. 42, Issue 3
Enhanced enzymatic conversion of softwood lignocellulose by poly(ethylene glycol) addition
journal, March 2007
- Börjesson, Johan; Peterson, Ragna; Tjerneld, Folke
- Enzyme and Microbial Technology, Vol. 40, Issue 4
Works referencing / citing this record:
The Effect of Biomass Densification on Structural Sugar Release and Yield in Biofuel Feedstock and Feedstock Blends
journal, January 2017
- Wolfrum, Edward J.; Nagle, Nicholas J.; Ness, Ryan M.
- BioEnergy Research, Vol. 10, Issue 2
A two-phase substrate model for enzymatic hydrolysis of lignocellulose: application to batch and continuous reactors
journal, December 2019
- Lischeske, James J.; Stickel, Jonathan J.
- Biotechnology for Biofuels, Vol. 12, Issue 1
Figures / Tables found in this record: