2020
DOI: 10.1016/j.clet.2020.100029
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Dynamic modelling of the biomass gasification process in a fixed bed reactor by using the artificial neural network

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Cited by 23 publications
(7 citation statements)
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“…Biomass gasification is a thermochemical process of converting solid biomass into a gaseous fuel known as synthesis gas or producer gas under a reduced oxygen atmosphere to avoid complete combustion [59,60]. Gasification aims to maximize the conversion of biomass feed into useable gases.…”
Section: Gasificationmentioning
confidence: 99%
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“…Biomass gasification is a thermochemical process of converting solid biomass into a gaseous fuel known as synthesis gas or producer gas under a reduced oxygen atmosphere to avoid complete combustion [59,60]. Gasification aims to maximize the conversion of biomass feed into useable gases.…”
Section: Gasificationmentioning
confidence: 99%
“…Currently, such syngas is used as fuel to generate heat and electricity or as a feedstock for many products in the petrochemical and refinery industries, like methanol, ammonia, synthetic gasoline, etc. The overall gasification process is endothermic, requiring energy input for the reactions to proceed, most of which operate between 600°C and 1500°C [59,63]. The energy needed for this endothermic reaction is obtained by oxidation of part of the biomass through a direct heating (autothermal) or an indirect heating (allothermal) phase.…”
Section: Biomass O Co G H G Co G Ch G Tar L H O L Char S Tracespeciesmentioning
confidence: 99%
“…In the condition in which production of biogas fuel is required, the gasification process under a reduced oxygen atmosphere applies to convert solid biomass to a gaseous fuel known as synthesis gas [56]. The biomass gasification process is conducted in four main stages including drying of the biomass particles followed by pyrolysis of the dried biomass particles(de-volatilization), in the next step partial oxidation of the pyrolysis gases and/or char occurred and finally char gasification happened (reduction).…”
Section: Gasificationmentioning
confidence: 99%
“…The application of machine learning is relatively new in biomass gasification with commencement in the last decades (arising from the introduction of neural networks and back-propagation algorithms) for process design and optimization. However, it has rapidly gained momentum in recent time and has been used in several studies [59,61] as a tool for designing new experiments [59], optimizing existing experimental designs [62], online prediction and process control [61].…”
Section: Optimisationmentioning
confidence: 99%