Industrial scale biofuel pellet production from blends of unbarked softwood and hardwood stems-the effects of raw material composition and moisture content on pellet quality

Torbjörn Lestander; Michael Finell; Robert Samuelsson; Mehrdad Arshadi; Mikael Thyrel

doi:10.1016/j.fuproc.2011.11.024

Industrial scale biofuel pellet production from blends of unbarked softwood and hardwood stems-the effects of raw material composition and moisture content on pellet quality

Publikation: Bidrag till tidskrift › Artikel i vetenskaplig tidskrift › Peer review

Sammanfattning

Overall, the results obtained demonstrate that it is possible to produce high quality pellets by using fresh stem logs in specified blends with specific moisture contents. NIR spectroscopy was found to be useful for the direct and indirect control of critical pellet quality variables. (C) 2011 Elsevier B.V. All rights reserved.

Originalspråk	Engelska
Sidor (från-till)	73-77
Antal sidor	5
Tidskrift	Fuel Processing Technology
Volym	95
DOI	https://doi.org/10.1016/j.fuproc.2011.11.024
Status	Publicerad - 2012

Nyckelord

Bioenergy
MLR
PLS regression
Multivariate calibration

Åtkomst av dokument

10.1016/j.fuproc.2011.11.024

Andra filer och länkar

Citera det här

@article{823a7b94ebb4465296358b3ca350a75e,

title = "Industrial scale biofuel pellet production from blends of unbarked softwood and hardwood stems-the effects of raw material composition and moisture content on pellet quality",

abstract = "Overall, the results obtained demonstrate that it is possible to produce high quality pellets by using fresh stem logs in specified blends with specific moisture contents. NIR spectroscopy was found to be useful for the direct and indirect control of critical pellet quality variables. (C) 2011 Elsevier B.V. All rights reserved.",

keywords = "Bioenergy, MLR, PLS regression, Multivariate calibration, Bioenergy, MLR, PLS regression, Multivariate calibration",

author = "Torbj{\"o}rn Lestander and Michael Finell and Robert Samuelsson and Mehrdad Arshadi and Mikael Thyrel",

year = "2012",

doi = "10.1016/j.fuproc.2011.11.024",

language = "English",

volume = "95",

pages = "73--77",

journal = "Fuel Processing Technology",

issn = "0378-3820",

publisher = "Elsevier B.V.",

}

Industrial scale biofuel pellet production from blends of unbarked softwood and hardwood stems-the effects of raw material composition and moisture content on pellet quality. / Lestander, Torbjörn ; Finell, Michael; Samuelsson, Robert et al.
I: Fuel Processing Technology, Vol. 95, 2012, s. 73-77.

Publikation: Bidrag till tidskrift › Artikel i vetenskaplig tidskrift › Peer review

TY - JOUR

T1 - Industrial scale biofuel pellet production from blends of unbarked softwood and hardwood stems-the effects of raw material composition and moisture content on pellet quality

AU - Lestander, Torbjörn

AU - Finell, Michael

AU - Samuelsson, Robert

AU - Arshadi, Mehrdad

AU - Thyrel, Mikael

PY - 2012

Y1 - 2012

N2 - Overall, the results obtained demonstrate that it is possible to produce high quality pellets by using fresh stem logs in specified blends with specific moisture contents. NIR spectroscopy was found to be useful for the direct and indirect control of critical pellet quality variables. (C) 2011 Elsevier B.V. All rights reserved.

AB - Overall, the results obtained demonstrate that it is possible to produce high quality pellets by using fresh stem logs in specified blends with specific moisture contents. NIR spectroscopy was found to be useful for the direct and indirect control of critical pellet quality variables. (C) 2011 Elsevier B.V. All rights reserved.

KW - Bioenergy

KW - MLR

KW - PLS regression

KW - Multivariate calibration

KW - Bioenergy

KW - MLR

KW - PLS regression

KW - Multivariate calibration

UR - https://res.slu.se/id/publ/56585

UR - http://www.sciencedirect.com/science/article/pii/S0378382011004115

U2 - 10.1016/j.fuproc.2011.11.024

DO - 10.1016/j.fuproc.2011.11.024

M3 - Journal article

SN - 0378-3820

VL - 95

SP - 73

EP - 77

JO - Fuel Processing Technology

JF - Fuel Processing Technology

ER -