Dataset on the performance characteristics of briquettes from selected agricultural wastes using a piston-type briquetting machine.

M A Waheed, O A Akogun, C C Enweremadu

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Article in Data in brief, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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3 authors.

M A WaheedDepartment of Mechanical Engineering, College of Engineering, Federal University of Agriculture, Abeokuta, P. M. B. 2240 Abeokuta, Nigeria.

O A AkogunAgricultural Mechanization and Sustainable Environment Programme, Centre of Excellence in Agricultural Development and Sustainable Environment, Federal University of Agriculture, P. M. B. 2240 Abeokuta, Nigeria.

C C EnweremaduDepartment of Mechanical Engineering, College of Science, Engineering, and Technology, University of South Africa, Science Campus, FL 1709, South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Densification of agricultural wastes for briquette production has considerable potential to meet the growing energy demand and contribute towards a safe environment worldwide. The datasets contained in this paper are the performance characteristics of raw and torrefied briquettes produced from sawdust (SD), cassava peels (CP), cornhusk (CH), and their blends using a developed piston-type briquetting machine. The physicomechanical, chemical, structural, and combustion indices including the kinetic parameters, were determined using standard methods. The result obtained show that each briquettes sample has the infrared transmittance of C-H, OH, C-O, and C=C with the SD sample having the highest and CP, the lowest. The feedstock mixture and increase in torrefaction temperature enhance the physicomechanical properties of the briquettes through water preconditioning. The combustion characteristics show that the torrefied briquettes and their blends could be co-fired with coal, and are well suited for heating applications and reduce environmental pollution. The activation energy, pre-exponential factor, and R

Indexed as

BiofuelCombustion indicesFourier Transform infrared spectrumPhysicomechanical propertiesTorrefaction

Identifiers

PMID37600593

DOI10.1016/j.dib.2023.109476

PMCPMC10432947

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