The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
High-Octane Gasoline from Biomass: Experimental, Economic, and Environmental Assessment
Open accessOverview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Some reviewed LCA studies used agricultural models such as GLOBIOM, DNDC and STAMINA to consider the impacts of land use on overall environmental sustainability.
“Some LCA studies also used agricultural models for considering the impacts of land use on overall environmental sustainability, such as GLOBIOM, DNDC and STAMINA (Di Fulvio et al. 2019;Dupuis et al. 2019;Nilsson et al. 2020).”
From Conversion of biomass to biofuels and life cycle assessment: a review (2021) · cites this paper as Dupuis et al. 2019
MSW, agro-forestry residues and lignocellulosic energy crops are economically promising feedstocks for FT and ATJ due to their relatively low delivered costs.
“Given the relatively low delivered costs of MSW, agro-forestry residues and lignocellulosic energy crops, they are economically promising feedstocks for the yet commercially feasible FT and ATJ (Dupuis et al. 2019).”
From Bio-aviation Fuel: A Comprehensive Review and Analysis of the Supply Chain Components (2020) · cites this paper as Dupuis et al. 2019
Waste biomass has the least cradle-to-gate GHG emissions, with forest residues as most environmentally benign in both feedstock and fuel production phases.
“Moreover, LCA of feedstocks for high-octane gasoline production by Dupuis et al. (2019) showed waste biomass to have the least cradle-to-gate GHG emissions with forest residues as most environmentally benign in both feedstock and fuel production phases.”
From Bio-aviation Fuel: A Comprehensive Review and Analysis of the Supply Chain Components (2020) · cites this paper as Dupuis et al. 2019
Citations
Cites
CO2 capture by solid adsorbents and their applications: current status and new trends
Wang, Q., Luo, J., Zhong, Z., & Borgna, A. (2011) · Energy Environ. Sci. · doi:10.1039/c0ee00064g · Cited by 1,611
Flagged first, then by citations
Research works printed but not linked: 16
- Wood, 2012, Gas-to-liquids (GTL): a review of an industry offering several routes for monetizing natural gas, J Nat Gas Sci Eng, 9, 196, 10.1016/j.jngse.2012.07.001 · DOI
- Rauch, 2014, Biomass gasification for synthesis gas production and applications of the syngas, Wiley Interdisc Rev: Energy Environ, 3, 343
- Ahn, 2009, Selective homologation routes to 2,2,3-trimethylbutane on solid acids, Angew Chem Int Ed Engl., 48, 3814, 10.1002/anie.200900541 · DOI
- Schaidle, 2015, Conversion of dimethyl ether to 2,2,3-trimethylbutane over a Cu/BEA catalyst: role of Cu sites in hydrogen incorporation, ACS Catal, 5, 1794, 10.1021/cs501876w · DOI
- Nhuchhen, 2012, Estimation of higher heating value of biomass from proximate analysis: a new approach, Fuel, 99, 55, 10.1016/j.fuel.2012.04.015 · DOI
- Moghadam, 2014, Syngas production from palm kernel shell and polyethylene waste blend in fluidized bed catalytic steam co-gasification process, Energy, 75, 40, 10.1016/j.energy.2014.04.062 · DOI
- Ahmed, 2011, Characteristics of syngas from co-gasification of polyethylene and woodchips, Appl Energy, 88, 165, 10.1016/j.apenergy.2010.07.007 · DOI
- Skoulou, 2013, Co-gasification of crude glycerol with lignocellulosic biomass for enhanced syngas production, J Anal Appl Pyrol, 99, 110, 10.1016/j.jaap.2012.10.015 · DOI
- Lamers, 2015, Strategic supply system design – a holistic evaluation of operational and production cost for a biorefinery supply chain, Biofuels Bioprod Biorefin, 9, 648, 10.1002/bbb.1575 · DOI
- Williams, 2015, Sources of biomass feedstock variability and the potential impact on biofuels production, Bioenergy Res, 9, 1, 10.1007/s12155-015-9694-y · DOI
- Cambero, 2015, Strategic optimization of forest residues to bioenergy and biofuel supply chain, Int J Energy Res, 39, 439, 10.1002/er.3233 · DOI
- Tan, 2016, Conceptual process design and economics for the production of high-octane gasoline blendstock via indirect liquefaction of biomass through methanol/dimethyl ether intermediates, Biofuels Bioprod Biorefin, 10, 17, 10.1002/bbb.1611 · DOI
- Solomon SD, Qin M, Manning M, Chen Z, Marquis M, Averyt KB, et al. Contribution of working group I to the fourth assessment report of the intergovernmental panel on climate change: physical science basis, report 0961-9534. Cambridge (UK) and New York (NY, USA); 2007.
- Meyer, 2016, Field-to-fuel performance testing of lignocellulosic feedstocks for fast pyrolysis and upgrading: techno-economic analysis and greenhouse gas life cycle analysis, Energy Fuels, 30, 9427, 10.1021/acs.energyfuels.6b01643 · DOI
- Seyitoglu, 2016, Assessment of an IGCC based trigeneration system for power, hydrogen and synthesis fuel production, Int J Hydrogen Energy, 41, 8168, 10.1016/j.ijhydene.2015.10.093 · DOI
- Howaniec, 2014, Effect of fuel blend composition on the efficiency of hydrogen-rich gas production in co-gasification of coal and biomass, Fuel, 128, 442, 10.1016/j.fuel.2014.03.036 · DOI
Cited by
Sorted by citations
Conversion of biomass to biofuels and life cycle assessment: a review
Osman, A. I., Mehta, N., Elgarahy, A. M., Al-Hinai, A., Al-Muhtaseb, A. H., & Rooney, D. W. (2021) · Environmental Chemistry Letters · doi:10.1007/s10311-021-01273-0 · Cited by 761
“Some LCA studies also used agricultural models for considering the impacts of land use on overall environmental sustainability, such as GLOBIOM, DNDC and STAMINA (Di Fulvio et al. 2019; Dupuis et al. 2019; Nilsson et al. 2020).”
MethodKargbo, H., Harris, J. S., & Phan, A. N. (2021) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2020.110168 · Cited by 333
Bio-aviation Fuel: A Comprehensive Review and Analysis of the Supply Chain Components
Doliente, S. S., Narayan, A., Tapia, J. F. D., Samsatli, N. J., Zhao, Y., & Samsatli, S. (2020) · Frontiers in Energy Research · doi:10.3389/fenrg.2020.00110 · Cited by 295
Metadata
- Authors
- Dupuis, D. P., Grim, R. G., Nelson, E., Tan, E. C. D., Ruddy, D. A., Hernandez, S., Westover, T., Hensley, J. E., & Carpenter, D.
- Affiliations
- National Laboratory of the Rockies (US)
- Idaho National Laboratory (US)
- Corresponding author
- Hensley, Jesse E.
- Carpenter, Daniel
- ORCID
- Venue
- Applied Energy
- Publisher
- Elsevier BV
- Published
- 2019-05
- Volume
- 241
- Pages
- 25-33
- ISSN
- 0306-2619 (ISSN-L)
- OpenAlex
- W2919505518
- Cited by
- 36
- References
- 1
- Citations by year
- 2026: 3 · 2025: 2 · 2024: 6 · 2023: 5 · 2022: 6 · 2021: 5 · 2020: 7 · 2019: 2
- FWCI
- 1.76
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Applied Energy (acceptedVersion)
- OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (submittedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- US Department of Energy, Office of Energy Efficiency
- Renewable Energy, Bioenergy Technologies Office in collaboration with the Chemical Catalysis for Bioenergy (ChemCatBio) Consortium, a member of the Energy Materials Network
- Topics
- Physical Sciences › Energy › Fuel Technology › Thermochemical Biomass Conversion Processes
- Physical Sciences › Chemical Engineering › Catalysis › Catalysts for Methane Reforming
- Physical Sciences › Engineering › Biomedical Engineering › Biofuel production and bioconversion
- Keywords
- high-octane gasoline, biomass gasification, syngas reforming, biomass feedstock, feedstock blending, techno-economic analysis, Miscanthus, forest residues, greenhouse gas emissions, life cycle assessment, calorific value
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review