Some Parameters and Properties of Biomass Fuels

Inhalation exposure to size-segregated fine particles and particulate PAHs for the population burning biomass fuels in the Eastern Tibetan Plateau area

Ecotoxicology and Environmental Safety ◽

10.1016/j.ecoenv.2021.111959 ◽

2021 ◽

Vol 211 ◽

pp. 111959

Author(s):

Ye Huang ◽

Jinze Wang ◽

Nan Fu ◽

Shanshan Zhang ◽

Wei Du ◽

...

Keyword(s):

Tibetan Plateau ◽

Fine Particles ◽

Inhalation Exposure ◽

Eastern Tibetan Plateau ◽

Biomass Fuels ◽

Plateau Area

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Upgrading Biomass Fuels via Combination of CO2-Leaching and Torrefaction

Energy & Fuels ◽

10.1021/acs.energyfuels.1c00095 ◽

2021 ◽

Author(s):

Yinhai Su ◽

Shuping Zhang ◽

Lingqin Liu ◽

Penggang Qi ◽

Dan Xu ◽

...

Keyword(s):

Biomass Fuels

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Mutagenic and Cancer Risk Estimation of Particulate Bound Polycyclic Aromatic Hydrocarbons from the Emission of Different Biomass Fuels

Chemical Research in Toxicology ◽

10.1021/acs.chemrestox.0c00378 ◽

2021 ◽

Author(s):

Puneet Kumar Verma ◽

Dinesh Sah ◽

Jitendra Dubey ◽

K. Maharaj Kumari ◽

Anita Lakhani

Keyword(s):

Polycyclic Aromatic Hydrocarbons ◽

Cancer Risk ◽

Aromatic Hydrocarbons ◽

Risk Estimation ◽

Biomass Fuels ◽

Polycyclic Aromatic

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An overview of slagging and fouling indicators and their applicability to biomass fuels

Fuel Processing Technology ◽

10.1016/j.fuproc.2021.106804 ◽

2021 ◽

Vol 217 ◽

pp. 106804

Author(s):

Jakub Lachman ◽

Marek Baláš ◽

Martin Lisý ◽

Hana Lisá ◽

Pavel Milčák ◽

...

Keyword(s):

Biomass Fuels

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Online dynamic prediction of potassium concentration in biomass fuels through flame spectroscopic analysis and recurrent neural network modelling

Fuel ◽

10.1016/j.fuel.2021.121376 ◽

2021 ◽

Vol 304 ◽

pp. 121376

Author(s):

Xinli Li ◽

Changxing Han ◽

Gang Lu ◽

Yong Yan

Keyword(s):

Neural Network ◽

Recurrent Neural Network ◽

Spectroscopic Analysis ◽

Potassium Concentration ◽

Biomass Fuels ◽

Network Modelling ◽

Dynamic Prediction ◽

Neural Network Modelling

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Fast characterization of biomass fuels by thermogravimetric analysis (TGA)

Fuel ◽

10.1016/j.fuel.2014.10.024 ◽

2015 ◽

Vol 140 ◽

pp. 744-751 ◽

Cited By ~ 101

Author(s):

Juan F. Saldarriaga ◽

Roberto Aguado ◽

Aitor Pablos ◽

Maider Amutio ◽

Martin Olazar ◽

...

Keyword(s):

Thermogravimetric Analysis ◽

Biomass Fuels

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Engine Fuels From Biomass

Journal of Energy Resources Technology ◽

10.1115/1.3230864 ◽

1981 ◽

Vol 103 (4) ◽

pp. 344-351 ◽

Cited By ~ 5

Author(s):

H. W. Parker

Keyword(s):

Oil Shale ◽

Liquid Fuels ◽

Biomass Fuels ◽

Coal Conversion ◽

Direct Liquefaction

Sources of biomass fuels for engines are compared to other synfuels. Biomass can be converted to gaseous and liquid engine fuels by the same processes utilized for coal conversion such as gasification, direct liquefaction, and indirect liquefaction. Alternatively, biomass can be converted into liquid fuels by fermentation to methane or ethanol. The quantities of biomass-derived engine fuels potentially available in the next decade are relatively small, and the anticipated costs are significantly greater than for liquid engine fuels made from coal or oil shale.

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