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A Methodology to Estimate Biomass Combustion Time from A Limited Set of Readily Measurable Parameters

Mohammed Asheruddin, N and Shivapuji, AM and Srinivasaiah, D (2022) A Methodology to Estimate Biomass Combustion Time from A Limited Set of Readily Measurable Parameters. In: 30th European Biomass Conference and Exhibition, EUBCE 2022, 9 - 12 May 2022, Virtual, Online, pp. 667-669.

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Official URL: https://programme.eubce.com/abstract.php?idabs=192...


The article reports an extensive experimental investigation of the biomass combustion process and the factors affecting it. The study is initiated in a backdrop of the limited information available in literature towards characterizing a biomass combustion process with readily observable and measurable properties. The scope of the current work addresses the lacuna in the literature by studying the influence of particle size (10 mm – 20 mm), particle shapes, particle density (160 kg/m3 – 350 kg/m3), temperature (673 K – 1073 K) and oxidizer velocity (0.1 m/s – 10 m/s) on the biomass conversion process. The absolute biomass combustion time is split into pyrolysis (flaming time) and char oxidation time (glowing time), considering that the parameters have distinct influences on either process. It is observed that the particle size has a near-quadratic effect on both pyrolysis and char oxidation. The influence of sphericity and density on the combustion time is linear. Temperature influences the combustion time exponentially, and the combustion time is observed to decrease logarithmically with particle Reynolds number. The influence of various parameters on the combustion process is quantified by regression analysis. A correlation associating the combustion time with individual parameters is obtained. Further, the series of correlations are compounded to obtain the generic equations to estimate combustion time for a given set of parameters. The combustion time estimate from the equation is compared with experimental data from literature and found to be 10% deviation.

Item Type: Conference Paper
Publication: European Biomass Conference and Exhibition Proceedings
Publisher: ETA-Florence Renewable Energies
Additional Information: The copyright for this article belongs to ETA-Florence Renewable Energies.
Keywords: Alternative fuels; Bioconversion; Biomass; Combustion; Particle size analysis; Pyrolysis; Regression analysis; Reynolds number, Alternative energy; Biomass combustion; Char; Char oxidation; Combustion pro-cess; Combustion time; Experimental investigations; Limited information; Measurable parameters; Particles sizes, Particle size
Department/Centre: Division of Mechanical Sciences > Centre for Sustainable Technologies (formerly ASTRA)
Date Deposited: 03 Jan 2023 12:21
Last Modified: 03 Jan 2023 12:21
URI: https://eprints.iisc.ac.in/id/eprint/78679

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