Modelling co-combustion of bituminous coal and pine sawdust: Thermal behaviour

This study focused on the effects of introducing pine sawdust and bituminous coal in a down fired combustion reactor. Co-combustion of coal and biomass waste provides an alternative to biomass waste management as well as efficiency improvement with regards to boiler optimisation if correctly applied...

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Autores principales:	Garikai T. Marangwanda, Daniel M. Madyira, Hermes C. Chihobo, Taiwo O. Babarinde
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Coal, biomass Co-combustion Modelling Computational fluid dynamics Fuel TP315-360
Acceso en línea:	https://doaj.org/article/be9ba40402ab40d7bee16a8db5b88af4
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spelling	oai:doaj.org-article:be9ba40402ab40d7bee16a8db5b88af42021-11-16T04:11:25ZModelling co-combustion of bituminous coal and pine sawdust: Thermal behaviour2666-052010.1016/j.jfueco.2021.100035https://doaj.org/article/be9ba40402ab40d7bee16a8db5b88af42021-12-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2666052021000285https://doaj.org/toc/2666-0520This study focused on the effects of introducing pine sawdust and bituminous coal in a down fired combustion reactor. Co-combustion of coal and biomass waste provides an alternative to biomass waste management as well as efficiency improvement with regards to boiler optimisation if correctly applied. A Computational Fluid Dynamics model, using ANSYS Fluent, was employed alongside experimental data to study the behaviour of this co-combustion process. The co-combustion model employed was based on the discrete phase submodel which tracks discrete solid fuel particles in a fluid continuum comprising of the gaseous oxidant, intermediate species, and products. The other important submodels used in this study comprised of the single kinetic devolatilisation submodel and the multiple surface heterogenous char reaction submodel. Two homogenous volatile combustion mechanisms were tested which were the refined Westbrook and Dryer 2-step reaction mechanism as well as the refined Jones and Lindstedt 4-step reaction mechanism. The effect of particle size was monitored in detail by employing a shape factor of 0.87 for biomass particles towards the drag law and the radiative heat transfer tested the effect of using the Discrete Ordinate and P1 radiation submodels. The results showed an increase in burnout for 0.2 s residence time from 37% to 72% when sawdust was introduced in the combustion chamber whilst the temperature profiles showed a general decrease in maximum temperatures attainable as the sawdust proportion increased.Garikai T. MarangwandaDaniel M. MadyiraHermes C. ChihoboTaiwo O. BabarindeElsevierarticleCoal, biomassCo-combustionModellingComputational fluid dynamicsFuelTP315-360ENFuel Communications, Vol 9, Iss , Pp 100035- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Coal, biomass Co-combustion Modelling Computational fluid dynamics Fuel TP315-360
spellingShingle	Coal, biomass Co-combustion Modelling Computational fluid dynamics Fuel TP315-360 Garikai T. Marangwanda Daniel M. Madyira Hermes C. Chihobo Taiwo O. Babarinde Modelling co-combustion of bituminous coal and pine sawdust: Thermal behaviour
description	This study focused on the effects of introducing pine sawdust and bituminous coal in a down fired combustion reactor. Co-combustion of coal and biomass waste provides an alternative to biomass waste management as well as efficiency improvement with regards to boiler optimisation if correctly applied. A Computational Fluid Dynamics model, using ANSYS Fluent, was employed alongside experimental data to study the behaviour of this co-combustion process. The co-combustion model employed was based on the discrete phase submodel which tracks discrete solid fuel particles in a fluid continuum comprising of the gaseous oxidant, intermediate species, and products. The other important submodels used in this study comprised of the single kinetic devolatilisation submodel and the multiple surface heterogenous char reaction submodel. Two homogenous volatile combustion mechanisms were tested which were the refined Westbrook and Dryer 2-step reaction mechanism as well as the refined Jones and Lindstedt 4-step reaction mechanism. The effect of particle size was monitored in detail by employing a shape factor of 0.87 for biomass particles towards the drag law and the radiative heat transfer tested the effect of using the Discrete Ordinate and P1 radiation submodels. The results showed an increase in burnout for 0.2 s residence time from 37% to 72% when sawdust was introduced in the combustion chamber whilst the temperature profiles showed a general decrease in maximum temperatures attainable as the sawdust proportion increased.
format	article
author	Garikai T. Marangwanda Daniel M. Madyira Hermes C. Chihobo Taiwo O. Babarinde
author_facet	Garikai T. Marangwanda Daniel M. Madyira Hermes C. Chihobo Taiwo O. Babarinde
author_sort	Garikai T. Marangwanda
title	Modelling co-combustion of bituminous coal and pine sawdust: Thermal behaviour
title_short	Modelling co-combustion of bituminous coal and pine sawdust: Thermal behaviour
title_full	Modelling co-combustion of bituminous coal and pine sawdust: Thermal behaviour
title_fullStr	Modelling co-combustion of bituminous coal and pine sawdust: Thermal behaviour
title_full_unstemmed	Modelling co-combustion of bituminous coal and pine sawdust: Thermal behaviour
title_sort	modelling co-combustion of bituminous coal and pine sawdust: thermal behaviour
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/be9ba40402ab40d7bee16a8db5b88af4
work_keys_str_mv	AT garikaitmarangwanda modellingcocombustionofbituminouscoalandpinesawdustthermalbehaviour AT danielmmadyira modellingcocombustionofbituminouscoalandpinesawdustthermalbehaviour AT hermescchihobo modellingcocombustionofbituminouscoalandpinesawdustthermalbehaviour AT taiwoobabarinde modellingcocombustionofbituminouscoalandpinesawdustthermalbehaviour
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Modelling co-combustion of bituminous coal and pine sawdust: Thermal behaviour

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