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Statistical Optimization of Process Parameters of the Synthesis of Bio-char from Doum Palm Shell (DPS) for used as Activated Carbon
Subject area: Science,Engineering and Technology · Area of research: Renewable Energy
Abstract
Biochar production plays an important role in sustainable energy development and environmental management due to its potential to sequester carbon for diverse applications and improve soil fertility. In this work biochar was synthesis from Doum palm shell via slow pyrolysis for used as activated carbon. The process parameter for the pyrolysis were optimized for maximum yield of the char. Regression equation was also developed and validated for the prediction of the yield given different process parameters. The doum palm shell char was successfully synthesis and optimized. The optimal yield was found to be 36.33% at the optimal conditions of temperature and Nitrogen flow rate of 800 oC and 40 ml/s respectively. The R-value and the R-square valued obtained, shows a high level correlation exist between the variables. The statistical validation of the modeled equation gives a low MBE, RSM, and MPE. this revealed clearly the potentials of the modeled equation to predict the yield of the DPS-char. The value of p < 0.0001, obtained, which is less than 0.01, is an indication that 99.99% confidence that the mean of the data is statistically not equal and that the regression model statistically significantly predicts the yield of the DPS-char.
Keywords
Statistical Pyrolysis Optimization Process-Parameters Bio-char Validation
References
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How to cite this paper
@article{1705199,
author = {Abubakar Usman Babuje, I. S. Diso, A. A. Adamu},
title = {Statistical Optimization of Process Parameters of the Synthesis of Bio-char from Doum Palm Shell (DPS) for used as Activated Carbon},
journal = {Iconic Research And Engineering Journals},
year = {2023},
volume = {7},
number = {5},
pages = {106-113},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1705199.pdf},
abstract = {Biochar production plays an important role in sustainable energy development and environmental management due to its potential to sequester carbon for diverse applications and improve soil fertility. In this work biochar was synthesis from Doum palm shell via slow pyrolysis for used as activated carbon. The process parameter for the pyrolysis were optimized for maximum yield of the char. Regression equation was also developed and validated for the prediction of the yield given different process parameters. The doum palm shell char was successfully synthesis and optimized. The optimal yield was found to be 36.33% at the optimal conditions of temperature and Nitrogen flow rate of 800 oC and 40 ml/s respectively. The R-value and the R-square valued obtained, shows a high level correlation exist between the variables. The statistical validation of the modeled equation gives a low MBE, RSM, and MPE. this revealed clearly the potentials of the modeled equation to predict the yield of the DPS-char. The value of p < 0.0001, obtained, which is less than 0.01, is an indication that 99.99% confidence that the mean of the data is statistically not equal and that the regression model statistically significantly predicts the yield of the DPS-char.},
keywords = {Statistical Pyrolysis Optimization Process-Parameters Bio-char Validation},
month = {November},
}