Supply Chain Sustainability Analysis of Indirect Liquefaction of Blended Biomass to Produce High Octane Gasoline (Citation Only)

Eric Tan, Michael Talmadge, Hao Cai, Christina Canter, Jennifer Dunn, Damon Hartley, Lesley Snowden-Swan, Mary Biddy

Research output: NRELTechnical Report

Abstract

This report describes the supply chain sustainability analysis of the production of renewable high octane gasoline (HOG) via indirect liquefaction (IDL) of lignocellulosic biomass. This SCSA was developed for the 2017 design case for feedstock logistics (INL, 2014) and for the 2022 target case for HOG production via IDL (Tan et al., 2015). The design includes advancements that are likely and targeted to be achieved by 2017 for the feedstock logistics and 2022 for the IDL conversion process. The 2017 design case for feedstock logistics demonstrated a delivered feedstock cost of $80 per dry U.S. short ton by the year 2017 (INL, 2014). The 2022 design case for the conversion process, as modeled in Tan et al. (2015), uses the feedstock 2017 design case blend of biomass feedstocks consisting of pulpwood, wood residue, switchgrass, and construction and demolition waste (C&D) with performance properties consistent with a sole woody feedstock type (e.g., pine or poplar). The HOG SCSA case considers the 2017 feedstock design case (the blend) as well as individual feedstock cases separately as alternative scenarios when the feedstock blend ratio varies as a result of a change in feedstock availability. These scenarios could be viewed as bounding SCSA results because of distinctive requirements for energy and chemical inputs for the production and logistics of different components of the blend feedstocks.
Original languageAmerican English
Number of pages23
StatePublished - 2015

Bibliographical note

Published by Argonne National Laboratory: https://greet.es.anl.gov/publication-scsa-idl-hog

NREL Publication Number

  • NREL/TP-5100-64993

Keywords

  • high octane gasoline
  • indirect liquefaction
  • lignocellulosic biomass
  • supply chain sustainability analysis

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