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Analysis of combustion characteristics and chemical properties for biocoke fuel

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摘要 Analyses of the characteristics and properties of biocoke fuel from several biomass wastes were carried out to determine the energy potential of the fuel.Biocoke production in this research uses heating and pressure methods simultaneously under constant conditions.Experimental results using thermogravimetric analysis show that biocoke empty-fruit-bunches(EFB)have a higher energy potential of 26.57 MJ/kg.Meanwhile,mangrove biocoke recorded the lowest ash content at 1.81%compared to EFB at 5.09%.The carbon content of mangrove biocoke is 58.02%,slightly higher than that of EFB,56.70%,but EFB is higher than that of other biomass.Overall,the energy content recorded in biocoke increased significantly compared to raw biomass.
出处 《Energy Geoscience》 EI 2024年第4期133-141,共9页 能源地球科学(英文)
基金 support in the form of a research grant by Badan Pengelola Dana Perkebunan Kelapa Sawit(BPDPKS)with grant number(PRJ-374/DPKS/2022,PRJ-17/DPKS/2023 Lembaga Penelitian dan Pengabdian Masyarakat(LPPM-USK)with grand number 192/UN11.2.1/PT.01.03/PNBP/2023).
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  • 1Sheng C, Azevedo J L T. Estimating the higher heating value of biomass fuels from basic analysis data. Biomass and Bioenergy, 2005, 28(5): 499-507.
  • 2Friedl A, Padouvas E, Rotter H, Varmuza K. Prediction of heating values of biomass fuel from elemental composition. Analytica Chimica Acta, 2005, 544(1-2): 191-198.
  • 3Shen J, Zhu S, Liu X, Zhang H, Tan J. The prediction of elemental composition of biomass based on proximate analysis. Energy Conversion and Management, 2010, 51(5): 983-987.
  • 4Nhuchhen D R, Abdul Salam P. Estimation of higher heating value of biomass from proximate analysis: a new approach. Fuel, 2012, 99:55-63.
  • 5Akkaya A V. Proximate analysis based multiple regression models for higher heating value estimation of low rank coals. Fuel Processing Technology, 2009, 90(2): 165-170.
  • 6Cordero T, Marquez F, Rodriguez-Mirasol J, Rodriguez J J. Predicting heating values of lignocellulosics and carbonaceous materials from proximate analysis. Fuel, 2001, 80(11): 1567-1571.
  • 7Erol M, Haykiri-Acma H, Kucukbayrak S. Calorific value estimation of biomass from their proximate analyses data. Renew- able Energy, 2010, 35(1): 170-173.
  • 8Jenkins B M, Ebeling J M. Correlation of physical and chemical properties of terrestrial biomass with conversion. In: Proceedings of Energy from Biomass and Wastes IX, Chicago, 1985, 371-400.
  • 9Kathiravale S, Muhd Ytmus M N, Sopian K, Samsuddin A H, Rahman R A. Modeling the heating value of Municipal Solid Waste. Fuel, 2003, 82(9): 1119-1125.
  • 10Callejon-Ferre A J, Velazquez-Marti B, Lopez-Martinez J A, Manzano-Agugliaro F. Greenhouse crop residues: energy potential and models for the prediction of their higher heating value.Renewable & Sustainable Energy Reviews, 2011, 15(2): 948-955.

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