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<p>Three indigenous lignocellulosic residues from Mizoram (areca nut fibre, wood chips, and mixed tree leaves) were characterised through multi-analytical methods (proximate, ultimate, XRD, FTIR, TG/DSC) and experimentally gasified in a 10 kWe downdraft gasifier at a common equivalence ratio of 0.33. Among the three feedstocks, areca nut fibre exhibited the most favourable combination of low ash, high volatile matter, and lower O/C ratio. In common-anchor experimental gasification at ER = 0.33, areca nut fibre produced the highest cold-gas efficiency (CGE = 49.4%), followed by wood chips (46.6%) and tree leaves (43.1%). The VM/ash ratio and O/C molar ratio emerged as the characterisation descriptors most directionally aligned with the experimental CGE ranking. Areca nut fibre also generated the highest tar burden among the three feedstocks and exhibited intermittent bridging due to its fibrous morphology, highlighting that thermochemical favourability alone does not determine practical suitability. A non-equilibrium-corrected equilibrium model, calibrated against areca nut fibre and applied to the remaining feedstocks without refitting (RMSE 1.61–2.66 vol%), reproduced broad comparative trends but systematically overpredicted H<sub>2</sub> and CO while underpredicting CO<sub>2</sub>, consistent with known limitations of single-zone thermodynamic formulations. One-at—a-time sensitivity analysis identified carbon content and equivalence ratio as co-dominant levers on predicted CGE, with carbon content marginally exceeding ER across all three feedstocks, and carbon content as the dominant parameter governing H<sub>2</sub>/CO ratio. Areca nut fibre emerges as the most thermochemically favourable candidate for further optimisation, conditional on resolving its feeding challenges.</p>

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Linking physicochemical characterisation of indigenous biomass residues to downdraft gasification performance

  • 期刊论文

  • 发表日期：

    2026年5月18日

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  • S. Lalhriatpuia,
  • Lalhmingsanga Hauchhum,
  • K. Lalrinchhana,
  • Lalsangzela Sailo

摘要

Three indigenous lignocellulosic residues from Mizoram (areca nut fibre, wood chips, and mixed tree leaves) were characterised through multi-analytical methods (proximate, ultimate, XRD, FTIR, TG/DSC) and experimentally gasified in a 10 kWe downdraft gasifier at a common equivalence ratio of 0.33. Among the three feedstocks, areca nut fibre exhibited the most favourable combination of low ash, high volatile matter, and lower O/C ratio. In common-anchor experimental gasification at ER = 0.33, areca nut fibre produced the highest cold-gas efficiency (CGE = 49.4%), followed by wood chips (46.6%) and tree leaves (43.1%). The VM/ash ratio and O/C molar ratio emerged as the characterisation descriptors most directionally aligned with the experimental CGE ranking. Areca nut fibre also generated the highest tar burden among the three feedstocks and exhibited intermittent bridging due to its fibrous morphology, highlighting that thermochemical favourability alone does not determine practical suitability. A non-equilibrium-corrected equilibrium model, calibrated against areca nut fibre and applied to the remaining feedstocks without refitting (RMSE 1.61–2.66 vol%), reproduced broad comparative trends but systematically overpredicted H2 and CO while underpredicting CO2, consistent with known limitations of single-zone thermodynamic formulations. One-at—a-time sensitivity analysis identified carbon content and equivalence ratio as co-dominant levers on predicted CGE, with carbon content marginally exceeding ER across all three feedstocks, and carbon content as the dominant parameter governing H2/CO ratio. Areca nut fibre emerges as the most thermochemically favourable candidate for further optimisation, conditional on resolving its feeding challenges.