Techno-economic analysis of decentralized biomass processing depots
Abstract
Decentralized biomass processing facilities, known as biomass depots, may be necessary to achieve feedstock cost, quantity, and quality required to grow the future U.S. bioeconomy. In this paper, we assess three distinct depot configurations for technical difference and economic performance. The depot designs were chosen to compare and contrast a suite of capabilities that a depot could perform ranging from conventional pelleting to sophisticated pretreatment technologies. Our economic analyses indicate that depot processing costs are likely to range from ~US$30 to US$63 per dry metric tonne (Mg), depending upon the specific technology implemented and the energy consumption for processing equipment such as grinders and dryers. We conclude that the benefits of integrating depots into the overall biomass feedstock supply chain will outweigh depot processing costs and that incorporation of this technology should be aggressively pursued.
- Authors:
- Publication Date:
- Research Org.:
- Idaho National Laboratory (INL), Idaho Falls, ID (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1206803
- Alternate Identifier(s):
- OSTI ID: 1207284
- Grant/Contract Number:
- AC07–05ID14517
- Resource Type:
- Published Article
- Journal Name:
- Bioresource Technology
- Additional Journal Information:
- Journal Name: Bioresource Technology Journal Volume: 194 Journal Issue: C; Journal ID: ISSN 0960-8524
- Publisher:
- Elsevier
- Country of Publication:
- United Kingdom
- Language:
- English
- Subject:
- 09 BIOMASS FUELS; biomass depot; feedstock logistics; advanced biomass supply system; biorefinery; bioeconomy
Citation Formats
Lamers, Patrick, Roni, Mohammad S., Tumuluru, Jaya S., Jacobson, Jacob J., Cafferty, Kara G., Hansen, Jason K., Kenney, Kevin, Teymouri, Farzaneh, and Bals, Bryan. Techno-economic analysis of decentralized biomass processing depots. United Kingdom: N. p., 2015.
Web. doi:10.1016/j.biortech.2015.07.009.
Lamers, Patrick, Roni, Mohammad S., Tumuluru, Jaya S., Jacobson, Jacob J., Cafferty, Kara G., Hansen, Jason K., Kenney, Kevin, Teymouri, Farzaneh, & Bals, Bryan. Techno-economic analysis of decentralized biomass processing depots. United Kingdom. https://doi.org/10.1016/j.biortech.2015.07.009
Lamers, Patrick, Roni, Mohammad S., Tumuluru, Jaya S., Jacobson, Jacob J., Cafferty, Kara G., Hansen, Jason K., Kenney, Kevin, Teymouri, Farzaneh, and Bals, Bryan. Thu .
"Techno-economic analysis of decentralized biomass processing depots". United Kingdom. https://doi.org/10.1016/j.biortech.2015.07.009.
@article{osti_1206803,
title = {Techno-economic analysis of decentralized biomass processing depots},
author = {Lamers, Patrick and Roni, Mohammad S. and Tumuluru, Jaya S. and Jacobson, Jacob J. and Cafferty, Kara G. and Hansen, Jason K. and Kenney, Kevin and Teymouri, Farzaneh and Bals, Bryan},
abstractNote = {Decentralized biomass processing facilities, known as biomass depots, may be necessary to achieve feedstock cost, quantity, and quality required to grow the future U.S. bioeconomy. In this paper, we assess three distinct depot configurations for technical difference and economic performance. The depot designs were chosen to compare and contrast a suite of capabilities that a depot could perform ranging from conventional pelleting to sophisticated pretreatment technologies. Our economic analyses indicate that depot processing costs are likely to range from ~US$30 to US$63 per dry metric tonne (Mg), depending upon the specific technology implemented and the energy consumption for processing equipment such as grinders and dryers. We conclude that the benefits of integrating depots into the overall biomass feedstock supply chain will outweigh depot processing costs and that incorporation of this technology should be aggressively pursued.},
doi = {10.1016/j.biortech.2015.07.009},
journal = {Bioresource Technology},
number = C,
volume = 194,
place = {United Kingdom},
year = {Thu Oct 01 00:00:00 EDT 2015},
month = {Thu Oct 01 00:00:00 EDT 2015}
}
https://doi.org/10.1016/j.biortech.2015.07.009
Web of Science