Optimization of biomass torrefaction conditions by the Gain and Loss method and regression model analysis

Bibliographic Details
Main Authors: Lee, S.M., Lee, J.-W.
Format: Journal Article
Language:Inglés
Published: Elsevier 2014
Subjects:
Online Access:https://hdl.handle.net/10568/95115
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author Lee, S.M.
Lee, J.-W.
author_browse Lee, J.-W.
Lee, S.M.
author_facet Lee, S.M.
Lee, J.-W.
author_sort Lee, S.M.
collection Repository of Agricultural Research Outputs (CGSpace)
format Journal Article
id CGSpace95115
institution CGIAR Consortium
language Inglés
publishDate 2014
publishDateRange 2014
publishDateSort 2014
publisher Elsevier
publisherStr Elsevier
record_format dspace
spelling CGSpace951152025-06-17T08:23:41Z Optimization of biomass torrefaction conditions by the Gain and Loss method and regression model analysis Lee, S.M. Lee, J.-W. biomass regression analysis 2014-11 2018-07-03T11:02:25Z 2018-07-03T11:02:25Z Journal Article https://hdl.handle.net/10568/95115 en Limited Access Elsevier Lee, S.M., Lee, J.-W. . 2014. Optimization of biomass torrefaction conditions by the Gain and Loss method and regression model analysis Bioresource Technology, 172 : 438-443. https://doi.org/10.1016/j.biortech.2014.09.016
spellingShingle biomass
regression analysis
Lee, S.M.
Lee, J.-W.
Optimization of biomass torrefaction conditions by the Gain and Loss method and regression model analysis
title Optimization of biomass torrefaction conditions by the Gain and Loss method and regression model analysis
title_full Optimization of biomass torrefaction conditions by the Gain and Loss method and regression model analysis
title_fullStr Optimization of biomass torrefaction conditions by the Gain and Loss method and regression model analysis
title_full_unstemmed Optimization of biomass torrefaction conditions by the Gain and Loss method and regression model analysis
title_short Optimization of biomass torrefaction conditions by the Gain and Loss method and regression model analysis
title_sort optimization of biomass torrefaction conditions by the gain and loss method and regression model analysis
topic biomass
regression analysis
url https://hdl.handle.net/10568/95115
work_keys_str_mv AT leesm optimizationofbiomasstorrefactionconditionsbythegainandlossmethodandregressionmodelanalysis
AT leejw optimizationofbiomasstorrefactionconditionsbythegainandlossmethodandregressionmodelanalysis