Optimal blending management of biomass resources used for biochemical conversion
Abstract
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%). 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. Published 2018. This article is a U.S. Government work and is in the public domain in the USA.more »
- Authors:
-
- Idaho National Lab. (INL), Idaho Falls, ID (United States)
- Publication Date:
- Research Org.:
- Idaho National Laboratory (INL), Idaho Falls, ID (United States)
- Sponsoring Org.:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE), Sustainable Transportation Office. Bioenergy Technologies Office (BETO)
- 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; DE‐AC07‐05ID14517
- Resource Type:
- 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. https://doi.org/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. https://doi.org/10.1002/bbb.1877. https://www.osti.gov/servlets/purl/1476911.
@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 = {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%). 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. Published 2018. This article is a U.S. Government work and is in the public domain in the USA. Biofuels, Bioproducts and Biorefining published by Society of Industrial Chemistry and John Wiley & Sons Ltd.},
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}
}
Web of Science
Figures / Tables:
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Works referencing / citing this record:
Predictive Modelling of Sugar Release from Blended Garden Wastes in a Microwave-Assisted Hot Water Process
journal, January 2020
- Bai, Ruxue; Wang, Wen; Yu, Qiang
- Waste and Biomass Valorization
Figures / Tables found in this record: