Relationship between Calorific Value and Elementary Composition of Torrefied Lignocellulosic Biomass

Uemura, Yoshimitsu; Omar, Wissam N.; Tsutsui, Takeki; Subbarao, Duvvuri; Yusup, Suzana

doi:10.3923/jas.2010.3250.3256

Cited by 16 publications

(7 citation statements)

References 16 publications

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“…This may be attributed to a smaller contribution from hydrogen to the calorific value. In fact the authors reported that the plot of HHV vs. C gives a good linear relationship for torrefaction of lignocellulosic biomass elsewhere [42].…”

Section: Elementary Analysis and Ash Contentmentioning

confidence: 99%

A study on torrefaction of Laminaria japonica

Uemura

Matsumoto

Saadon

et al. 2015

Fuel Processing Technology

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Section: Elementary Analysis and Ash Contentmentioning

confidence: 99%

A study on torrefaction of Laminaria japonica

Uemura

Matsumoto

Saadon

et al. 2015

Fuel Processing Technology

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“…3 Assuming 21.2 MJ in a liter ethanol, the energy released from 25 MMGal ethanol is equivalent to only 2006 MM MJ, much lower than that being generated from lignin-rich residue from corn stover. [13][14][15][16][17][18] In this study, to establish the sample preparation of untreated and treated biomass that lead to statistically validated reproducibility, we adapt pelletization, a preparation process derived from methods developed on coal and other solid fuels. 5,6 Process-associated energy consumption in biofuels production has been widely studied.…”

Section: Introductionmentioning

confidence: 99%

“…Biomass EDs have previously been measured and correlated to elemental and approximate composition, but in these previous studies, oxygen bomb calorimetry was used to measure the ED of loose untreated biomass. [13][14][15][16][17][18] In this study, to establish the sample preparation of untreated and treated biomass that lead to statistically validated reproducibility, we adapt pelletization, a preparation process derived from methods developed on coal and other solid fuels. To our knowledge, this report is the rst to describe the use of this technique and the inuence of compression force during pelletization on the precision of ED measurements from biomass samples.…”

Section: Introductionmentioning

confidence: 99%

Calorimetric evaluation indicates that lignin conversion to advanced biofuels is vital to improving energy yields

Gardner

et al. 2015

RSC Adv.

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Energy density measurements using bomb calorimetry were applied along with mass yields to calculate energy yields from combinations of individual processes and lignocellulosic feedstocks. Sample preparation and the calorimetric method were fine-tuned for the biofuel process pathway prior to measuring the energy density of liquid fuels and catalysts and solid biomass types (untreated, pelletized, pretreated, and enzymatically hydrolyzed). To statistically establish the method, correlations between biomass composition and energy densities were tested. Strong correlations with lignin, hemicellulose, and ash concentrations were observed and statistically validated (Pearson's coefficient, r ¼ 0.92 and À0.81, respectively). Finally, energy densities were applied along with mass yields on a process pathway including ionic liquid pretreatment (6 L) and saccharification (2 L) of three feedstocks. From switchgrass, eucalyptus, and mixed feedstocks, mass yields of 54.4, 62.0, and 61.7% led to energy yields that were observed to be 59.2, 55.9, and 61.0%, respectively. The disparity in change in mass and energy yields between switchgrass and eucalyptus was identified to have originated from the varied lignin removal during pretreatment. The overall energies recovered from 600 g of switchgrass, eucalyptus, and mixed feedstocks, were 9.8, 10.3, and 10.1 MJ, respectively. Calorimetry can promptly evaluate an integrated multi-process pathway to convert a discrete or mixed feedstock to sugars and other metabolites and eventually to advanced biofuels that can either be hydrocarbons or a mixture thereof. In this particular study, calorimetry and mass yields indicated that lignin removal led to lower energy yield to liquid fuels.

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“…The HHV for solids was measured; once the model was implemented in Aspen One, calculations of this parameter were made based on the elemental composition of streams, using correlations reported by Uemura et al (2010) and Channiwala and Parikh (2002).…”

Section: Energymentioning

confidence: 99%