Torrefaction of Bambara Groundnut Shell: experimental optimization and prediction of the energy conversion efficiency using statistical and machine learning approaches

Oladosu, Kamoru O.; Babalola, Simeon A.; Ajao, Rasaq K.; Erinosho, Mutiu F.

doi:10.1080/01430750.2023.2277309

Cited by 1 publication

(1 citation statement)

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“…Furthermore, another effective way to mitigate issues with ash melting and sintering is to add additives either before or during biomass combustion (Oladosu et al, 2024). The most used additives in combustion systems to reduce slagging and sintering problems include calcium-based additives, sulfur-based additives such as ammonium sulfate and lignosulfonate, and aluminium-based additives like bauxite, alumina (Al2O3) (Zhu et al, 2019), kaolin (Al2Si2O5(OH)4), kaolinite, and halloysite (Míguez et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Investigating impacts of ammonium phosphate on ash yield from co-combustion of sugarcane bagasse and banana leaves

Oladosu,

Olawore,

Ponle

et al. 2024

LAUJET

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This study aimed to investigate the influence of mono ammonium phosphate (MAP) on ash yield from the co-combustion of sugarcane bagasse and banana leaves in a muffle furnace. An I-Optimal design of the Combined Methodology, embedded in Design Expert (version 13.0.5), was employed to optimize ash yield, considering various particle sizes, additive concentrations, and temperatures. The mixed samples were ashed in a muffle furnace to a constant weight, and the ash yield was analyzed using statistical tools to assess the model's quality. The MAP additive was most effective at concentrations between 4% and 7%, beyond which ash yields increased significantly. The optimal composition was determined to be 75% sugarcane bagasse, 20% banana leaves, and 5% ammonium phosphate at 950°C, resulting in the lowest ash yield of 6.46%. The presence of MAP in the biomass mixture significantly reduced ash yield. The model's R² and adjusted R² values were 0.9825 and 0.9099, respectively, indicating accurate determination of the model coefficients. This study demonstrates that ammonium phosphate additive has great potential in mitigating ash-related problems in biomass combustion.

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Section: Introductionmentioning

confidence: 99%