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Title: Optimal blending management of biomass resources used for biochemical conversion

Abstract

This research develops an optimization model to describe the tradeoff among blend components in the least-cost biomass blend, based on resource availability, quality requirements, and logistics cost for a biochemical conversion. A mixed-integer linear programming model is developed to determine the least-cost blend from a set of candidate feedstocks. A case study – based on a biorefinery located in western Kansas that uses three-pass corn stover, two-pass corn stover, switchgrass, miscanthus, and municipal solid waste fractions to meet biochemical conversion specifications and feedstock demand – shows that the delivered cost of an optimal blend that meets carbohydrate and ash specifications is 12.12% higher than the delivered cost of optimal blend that meets a carbohydrate specification only. The results indicate that a least-cost blend that meets both carbohydrate and ash specifications consists of miscanthus (48.2%) and switchgrass (29.4%) whereas the least-cost blend meeting carbohydrate specification only comprises three-pass corn stover (55.4%) and two-pass corn stover (20.4%). Here an optimal blend uses a low-cost municipal solid waste fraction in all cases, implying that blending could be a potential strategy to reduce delivered feedstock cost.

Authors:
ORCiD logo [1]; ORCiD logo [1]; ORCiD logo [1]; ORCiD logo [1]; ORCiD logo [1]
  1. Idaho National Lab. (INL), Idaho Falls, ID (United States)
Publication Date:
Research Org.:
Idaho National Lab. (INL), Idaho Falls, ID (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Bioenergy Technologies Office (EE-3B)
OSTI Identifier:
1476911
Alternate Identifier(s):
OSTI ID: 1432135
Report Number(s):
INL/JOU-17-42765-Rev000
Journal ID: ISSN 1932-104X
Grant/Contract Number:  
AC07-05ID14517
Resource Type:
Journal Article: Accepted Manuscript
Journal Name:
Biofuels, Bioproducts & Biorefining
Additional Journal Information:
Journal Volume: 12; Journal Issue: 4; Journal ID: ISSN 1932-104X
Publisher:
Wiley
Country of Publication:
United States
Language:
English
Subject:
09 BIOMASS FUELS; blending; feedstock; optimization; biochemical conversion; biomass; mixed-integer linear programming

Citation Formats

Roni, Mohammad S., Thompson, David N., Hartley, Damon S., Searcy, Erin M., and Nguyen, Quang A. Optimal blending management of biomass resources used for biochemical conversion. United States: N. p., 2018. Web. doi:10.1002/bbb.1877.
Roni, Mohammad S., Thompson, David N., Hartley, Damon S., Searcy, Erin M., & Nguyen, Quang A. Optimal blending management of biomass resources used for biochemical conversion. United States. doi:10.1002/bbb.1877.
Roni, Mohammad S., Thompson, David N., Hartley, Damon S., Searcy, Erin M., and Nguyen, Quang A. Fri . "Optimal blending management of biomass resources used for biochemical conversion". United States. doi:10.1002/bbb.1877.
@article{osti_1476911,
title = {Optimal blending management of biomass resources used for biochemical conversion},
author = {Roni, Mohammad S. and Thompson, David N. and Hartley, Damon S. and Searcy, Erin M. and Nguyen, Quang A.},
abstractNote = {This research develops an optimization model to describe the tradeoff among blend components in the least-cost biomass blend, based on resource availability, quality requirements, and logistics cost for a biochemical conversion. A mixed-integer linear programming model is developed to determine the least-cost blend from a set of candidate feedstocks. A case study – based on a biorefinery located in western Kansas that uses three-pass corn stover, two-pass corn stover, switchgrass, miscanthus, and municipal solid waste fractions to meet biochemical conversion specifications and feedstock demand – shows that the delivered cost of an optimal blend that meets carbohydrate and ash specifications is 12.12% higher than the delivered cost of optimal blend that meets a carbohydrate specification only. The results indicate that a least-cost blend that meets both carbohydrate and ash specifications consists of miscanthus (48.2%) and switchgrass (29.4%) whereas the least-cost blend meeting carbohydrate specification only comprises three-pass corn stover (55.4%) and two-pass corn stover (20.4%). Here an optimal blend uses a low-cost municipal solid waste fraction in all cases, implying that blending could be a potential strategy to reduce delivered feedstock cost.},
doi = {10.1002/bbb.1877},
journal = {Biofuels, Bioproducts & Biorefining},
number = 4,
volume = 12,
place = {United States},
year = {Fri Apr 06 00:00:00 EDT 2018},
month = {Fri Apr 06 00:00:00 EDT 2018}
}

Journal Article:
Free Publicly Available Full Text
This content will become publicly available on April 6, 2019
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