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

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 sawdu...

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Detalles Bibliográficos
Autores principales: Waheed, M.A., Akogun, O.A., Enweremadu, C.C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10432947/
https://www.ncbi.nlm.nih.gov/pubmed/37600593
http://dx.doi.org/10.1016/j.dib.2023.109476
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author Waheed, M.A.
Akogun, O.A.
Enweremadu, C.C.
author_facet Waheed, M.A.
Akogun, O.A.
Enweremadu, C.C.
author_sort Waheed, M.A.
collection PubMed
description 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(2) values of the briquettes ranged between 39.70–60.76 kJ/mol, 5.52–9.17 min(−1), and 0.95–0.98, respectively. The data provided in this paper will therefore be useful for energy enthusiasts and coal engine design, and assist in choosing the appropriate briquette blends with increased calorific value for heating applications.
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spelling pubmed-104329472023-08-18 Dataset on the performance characteristics of briquettes from selected agricultural wastes using a piston-type briquetting machine Waheed, M.A. Akogun, O.A. Enweremadu, C.C. Data Brief Data Article 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(2) values of the briquettes ranged between 39.70–60.76 kJ/mol, 5.52–9.17 min(−1), and 0.95–0.98, respectively. The data provided in this paper will therefore be useful for energy enthusiasts and coal engine design, and assist in choosing the appropriate briquette blends with increased calorific value for heating applications. Elsevier 2023-08-05 /pmc/articles/PMC10432947/ /pubmed/37600593 http://dx.doi.org/10.1016/j.dib.2023.109476 Text en © 2023 The Authors. Published by Elsevier Inc. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Data Article
Waheed, M.A.
Akogun, O.A.
Enweremadu, C.C.
Dataset on the performance characteristics of briquettes from selected agricultural wastes using a piston-type briquetting machine
title Dataset on the performance characteristics of briquettes from selected agricultural wastes using a piston-type briquetting machine
title_full Dataset on the performance characteristics of briquettes from selected agricultural wastes using a piston-type briquetting machine
title_fullStr Dataset on the performance characteristics of briquettes from selected agricultural wastes using a piston-type briquetting machine
title_full_unstemmed Dataset on the performance characteristics of briquettes from selected agricultural wastes using a piston-type briquetting machine
title_short Dataset on the performance characteristics of briquettes from selected agricultural wastes using a piston-type briquetting machine
title_sort dataset on the performance characteristics of briquettes from selected agricultural wastes using a piston-type briquetting machine
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10432947/
https://www.ncbi.nlm.nih.gov/pubmed/37600593
http://dx.doi.org/10.1016/j.dib.2023.109476
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