A characteristic-based decision tree approach for sustainable energy applications of biomass residues from two major classes
IR@CIMFR: CSIR-Central Institute of Mining and Fuel Research, Dhanbad
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| Title |
A characteristic-based decision tree approach for sustainable energy applications of biomass residues from two major classes
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| Creator |
RAM, Lal Chand
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| Subject |
Envieronmental Management Group
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| Description |
The characteristic potential of biomass residues from two major classes for sustainable energy applications has
been critically evaluated. These include sheesham wood dust (SWD), sheesham bark (SB), eucalyptus chips
(ECLP), gamhar wood chips (GWC) from wood and woody biomass (WWB) class; and coconut shell (CS), coconut
husk (CH), rice straw (RS), rice husk (RH), wheat husk (WH), bagasse (BGS), tea waste (TW), corn cob (CC), pista
shell (PS), akhrot shell (AS) and mustard stalk (MS) from herbaceous and agricultural biomass (HAB) class.
Overall, biomass residues cover a wide range of acceptable moisture levels for various thermal conversion
processes. Fixed carbon (FC), C, and H content of all the samples showed linearity with calorific value (CV), but
H/C and O/C atomic ratios, besides linearity with cellulose and hemicellulose, have non-linearity with CV and
lignin. Specifically, agricultural wastes (RS, RH, and WH) have relatively less moisture, volatile matter, FC, C,
and CV; and higher ash, H/C, and O/C atomic ratios, N, and S content. WWBs have higher CV than other residues
(particularly agricultural residues), owing to higher lignin content (with higher heat value) than hemicellulose
and cellulose.
Among various ash components, assigning a clear trend is difficult. BGS, PS, and AS indicate extremely-high
slagging and high fouling tendencies, and the remaining 12 samples have low to medium concerns. Amongst
hemicellulose (H), cellulose (C), lignin (L), and extractives (Ext), four structural types (CLHExt > CHLExt >
HCLExt > LExtHC) exist. CLHExt follows in 3WWB and 2HAB; CHLExt in 8 HAB; HCLExt in 1 HAB; LExtHC in 1
WWB sample. Thermal analysis results show that HABs are mostly more reactive and have less activation energy
than WWBs. The observed experimental findings and characteristic associations form a basis for placing these
feedstocks for indicator purposes linked with further advance and sustainable feedstock processing needed for
gasification, combustion, and steelmaking. A novel decision tree approach has been developed for propositions
about characteristic parameters, which provides a systematic means of selecting the feedstocks for sustainable
energy applications.
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| Publisher |
Elsevier
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| Date |
2023-01-08
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| Type |
Article
PeerReviewed |
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| Identifier |
RAM, Lal Chand (2023) A characteristic-based decision tree approach for sustainable energy applications of biomass residues from two major classes. Fuel, 339. ISSN 0016-2361
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| Relation |
http://cimfr.csircentral.net/2560/
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