Net energy ratio for the production of steam pretreated biomass-based pellets
Abstract
In this study, a process model was developed to determine the net energy ratio (NER) for both regular and steam-pretreated pellet production from ligno-cellulosic biomass. NER is a ratio of the net energy output to the total net energy input from non-renewable energy source into the system. Scenarios were developed to measure the effect of temperature and level of steam pretreatment on the NER of both production processes. The NER for the base case at 6 kg h–1 is 1.29 and 5.0 for steam-pretreated and regular pellet production respectively. However, at the large scale NER would improve. The major factor for NER is energy for steam and drying unit. The sensitivity analysis for the model shows that the optimum temperature for steam pretreatment is 200 °C with 50% pretreatment (Steam pretreating 50% feed stock, while the rest is undergoing regular pelletization). Uncertainty result for steam pretreated and regular pellet is 1.35 ± 0.09 and 4.52 ± 0.34 respectively.
- Authors:
-
- Univ. of Alberta, Edmonton, AB (Canada)
- Univ. of British Columbia, Vancouver, BC (Canada)
- Univ. of British Columbia, Vancouver, BC (Canada); Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
- Publication Date:
- Research Org.:
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1334452
- Grant/Contract Number:
- AC05-00OR22725
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Biomass and Bioenergy
- Additional Journal Information:
- Journal Volume: 80; Journal Issue: C; Journal ID: ISSN 0961-9534
- Publisher:
- Elsevier
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 09 BIOMASS FUELS; biomass; pellets; process model; energy balance; steam pretreatment; NER
Citation Formats
Shahrukh, Hassan, Oyedun, Adetoyese Olajire, Kumar, Amit, Ghiasi, Bahman, Kumar, Linoj, and Sokhansanj, Shahab. Net energy ratio for the production of steam pretreated biomass-based pellets. United States: N. p., 2015.
Web. doi:10.1016/j.biombioe.2015.06.006.
Shahrukh, Hassan, Oyedun, Adetoyese Olajire, Kumar, Amit, Ghiasi, Bahman, Kumar, Linoj, & Sokhansanj, Shahab. Net energy ratio for the production of steam pretreated biomass-based pellets. United States. https://doi.org/10.1016/j.biombioe.2015.06.006
Shahrukh, Hassan, Oyedun, Adetoyese Olajire, Kumar, Amit, Ghiasi, Bahman, Kumar, Linoj, and Sokhansanj, Shahab. Sun .
"Net energy ratio for the production of steam pretreated biomass-based pellets". United States. https://doi.org/10.1016/j.biombioe.2015.06.006. https://www.osti.gov/servlets/purl/1334452.
@article{osti_1334452,
title = {Net energy ratio for the production of steam pretreated biomass-based pellets},
author = {Shahrukh, Hassan and Oyedun, Adetoyese Olajire and Kumar, Amit and Ghiasi, Bahman and Kumar, Linoj and Sokhansanj, Shahab},
abstractNote = {In this study, a process model was developed to determine the net energy ratio (NER) for both regular and steam-pretreated pellet production from ligno-cellulosic biomass. NER is a ratio of the net energy output to the total net energy input from non-renewable energy source into the system. Scenarios were developed to measure the effect of temperature and level of steam pretreatment on the NER of both production processes. The NER for the base case at 6 kg h–1 is 1.29 and 5.0 for steam-pretreated and regular pellet production respectively. However, at the large scale NER would improve. The major factor for NER is energy for steam and drying unit. The sensitivity analysis for the model shows that the optimum temperature for steam pretreatment is 200 °C with 50% pretreatment (Steam pretreating 50% feed stock, while the rest is undergoing regular pelletization). Uncertainty result for steam pretreated and regular pellet is 1.35 ± 0.09 and 4.52 ± 0.34 respectively.},
doi = {10.1016/j.biombioe.2015.06.006},
journal = {Biomass and Bioenergy},
number = C,
volume = 80,
place = {United States},
year = {Sun Jun 21 00:00:00 EDT 2015},
month = {Sun Jun 21 00:00:00 EDT 2015}
}
Web of Science
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