Determining optimal size reduction and densification for biomass feedstock using the BioFeed optimization model

Yogendra N. Shastri, Zewei Miao, Luis F. Rodríguez, Tony E. Grift, Alan C. Hansen, K. C. Ting

Research output: Contribution to journalArticle

Abstract

The benefits of particle size reduction and mechanical densification of biomass feedstock for storage, transportation, and handling must be assessed in relation to the systemic costs and energy consumption incurred due to these operations. The goal of this work was to determine the optimal levels of size reduction and densification through a combination of modeling and experimental studies. Size reduction and densification data for Miscanthus and switchgrass were generated using a two-stage grinding process and the energy requirement and bulk densities for the particle sizes between 1mm and 25.4 mm were determined. Increase in bulk density through compression by a pressure of 1.2 MPa was also measured. These data were used within BioFeed, a system-level optimization model, to simulate scenarios capturing the possibilities of performing size reduction and densification at various stages of the supply chain. Simulation results assuming size reduction at farms showed that the optimal particle size range for both Miscanthus and switchgrass was 4-6 mm, with the optimal costs of $54.65 Mg-1 and $60.77 Mg-1 for Miscanthus and switchgrass, respectively. Higher hammer mill throughput and lower storage costs strongly impacted the total costs for different particle sizes. Size reduction and densification of biomass at the county-specific centralized storage and pre-processing facilities could reduce the costs by as much as $6.34 Mg-1 for Miscanthus and $20.13Mg-1 for switchgrass over the base case. These differences provided the upper bound on the investments that could be made to set-up and operate such systems.

Original languageEnglish (US)
Pages (from-to)423-437
Number of pages15
JournalBiofuels, Bioproducts and Biorefining
Volume8
Issue number3
DOIs
StatePublished - Jan 1 2014

Fingerprint

Densification
Feedstocks
Biomass
Particle size
Costs
Hammers
Farms
Supply chains
Energy utilization
Throughput
Processing

Keywords

  • BioFeed
  • Biomass feedstock
  • Densification
  • Hammer milling
  • Miscanthus
  • Size reduction
  • Switchgrass

ASJC Scopus subject areas

  • Bioengineering
  • Renewable Energy, Sustainability and the Environment

Cite this

Determining optimal size reduction and densification for biomass feedstock using the BioFeed optimization model. / Shastri, Yogendra N.; Miao, Zewei; Rodríguez, Luis F.; Grift, Tony E.; Hansen, Alan C.; Ting, K. C.

In: Biofuels, Bioproducts and Biorefining, Vol. 8, No. 3, 01.01.2014, p. 423-437.

Research output: Contribution to journalArticle

@article{acc19a3155c045858ec391ce590d9179,
title = "Determining optimal size reduction and densification for biomass feedstock using the BioFeed optimization model",
abstract = "The benefits of particle size reduction and mechanical densification of biomass feedstock for storage, transportation, and handling must be assessed in relation to the systemic costs and energy consumption incurred due to these operations. The goal of this work was to determine the optimal levels of size reduction and densification through a combination of modeling and experimental studies. Size reduction and densification data for Miscanthus and switchgrass were generated using a two-stage grinding process and the energy requirement and bulk densities for the particle sizes between 1mm and 25.4 mm were determined. Increase in bulk density through compression by a pressure of 1.2 MPa was also measured. These data were used within BioFeed, a system-level optimization model, to simulate scenarios capturing the possibilities of performing size reduction and densification at various stages of the supply chain. Simulation results assuming size reduction at farms showed that the optimal particle size range for both Miscanthus and switchgrass was 4-6 mm, with the optimal costs of $54.65 Mg-1 and $60.77 Mg-1 for Miscanthus and switchgrass, respectively. Higher hammer mill throughput and lower storage costs strongly impacted the total costs for different particle sizes. Size reduction and densification of biomass at the county-specific centralized storage and pre-processing facilities could reduce the costs by as much as $6.34 Mg-1 for Miscanthus and $20.13Mg-1 for switchgrass over the base case. These differences provided the upper bound on the investments that could be made to set-up and operate such systems.",
keywords = "BioFeed, Biomass feedstock, Densification, Hammer milling, Miscanthus, Size reduction, Switchgrass",
author = "Shastri, {Yogendra N.} and Zewei Miao and Rodr{\'i}guez, {Luis F.} and Grift, {Tony E.} and Hansen, {Alan C.} and Ting, {K. C.}",
year = "2014",
month = "1",
day = "1",
doi = "10.1002/bbb.1476",
language = "English (US)",
volume = "8",
pages = "423--437",
journal = "Biofuels, Bioproducts and Biorefining",
issn = "1932-104X",
publisher = "John Wiley and Sons Ltd",
number = "3",

}

TY - JOUR

T1 - Determining optimal size reduction and densification for biomass feedstock using the BioFeed optimization model

AU - Shastri, Yogendra N.

AU - Miao, Zewei

AU - Rodríguez, Luis F.

AU - Grift, Tony E.

AU - Hansen, Alan C.

AU - Ting, K. C.

PY - 2014/1/1

Y1 - 2014/1/1

N2 - The benefits of particle size reduction and mechanical densification of biomass feedstock for storage, transportation, and handling must be assessed in relation to the systemic costs and energy consumption incurred due to these operations. The goal of this work was to determine the optimal levels of size reduction and densification through a combination of modeling and experimental studies. Size reduction and densification data for Miscanthus and switchgrass were generated using a two-stage grinding process and the energy requirement and bulk densities for the particle sizes between 1mm and 25.4 mm were determined. Increase in bulk density through compression by a pressure of 1.2 MPa was also measured. These data were used within BioFeed, a system-level optimization model, to simulate scenarios capturing the possibilities of performing size reduction and densification at various stages of the supply chain. Simulation results assuming size reduction at farms showed that the optimal particle size range for both Miscanthus and switchgrass was 4-6 mm, with the optimal costs of $54.65 Mg-1 and $60.77 Mg-1 for Miscanthus and switchgrass, respectively. Higher hammer mill throughput and lower storage costs strongly impacted the total costs for different particle sizes. Size reduction and densification of biomass at the county-specific centralized storage and pre-processing facilities could reduce the costs by as much as $6.34 Mg-1 for Miscanthus and $20.13Mg-1 for switchgrass over the base case. These differences provided the upper bound on the investments that could be made to set-up and operate such systems.

AB - The benefits of particle size reduction and mechanical densification of biomass feedstock for storage, transportation, and handling must be assessed in relation to the systemic costs and energy consumption incurred due to these operations. The goal of this work was to determine the optimal levels of size reduction and densification through a combination of modeling and experimental studies. Size reduction and densification data for Miscanthus and switchgrass were generated using a two-stage grinding process and the energy requirement and bulk densities for the particle sizes between 1mm and 25.4 mm were determined. Increase in bulk density through compression by a pressure of 1.2 MPa was also measured. These data were used within BioFeed, a system-level optimization model, to simulate scenarios capturing the possibilities of performing size reduction and densification at various stages of the supply chain. Simulation results assuming size reduction at farms showed that the optimal particle size range for both Miscanthus and switchgrass was 4-6 mm, with the optimal costs of $54.65 Mg-1 and $60.77 Mg-1 for Miscanthus and switchgrass, respectively. Higher hammer mill throughput and lower storage costs strongly impacted the total costs for different particle sizes. Size reduction and densification of biomass at the county-specific centralized storage and pre-processing facilities could reduce the costs by as much as $6.34 Mg-1 for Miscanthus and $20.13Mg-1 for switchgrass over the base case. These differences provided the upper bound on the investments that could be made to set-up and operate such systems.

KW - BioFeed

KW - Biomass feedstock

KW - Densification

KW - Hammer milling

KW - Miscanthus

KW - Size reduction

KW - Switchgrass

UR - http://www.scopus.com/inward/record.url?scp=84899971102&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84899971102&partnerID=8YFLogxK

U2 - 10.1002/bbb.1476

DO - 10.1002/bbb.1476

M3 - Article

AN - SCOPUS:84899971102

VL - 8

SP - 423

EP - 437

JO - Biofuels, Bioproducts and Biorefining

JF - Biofuels, Bioproducts and Biorefining

SN - 1932-104X

IS - 3

ER -