Optimization and simulation of Tucuma and Ungurahui biodiesel process parameters and their effects on fuel properties

The conversion parameters in biodiesel production have a substantial impact on the yield of methyl esters, consequently affecting the physicochemical properties of the fuel. Tucuma and Ungurahui bio-oils were used in this study to optimize the process parameters. A total of 27 transesterification ex...

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Main Authors: Arun Teja Doppalapudi, Abul Kalam Azad, M.M.K. Khan, Amanullah Maung Than Oo
Format: Article
Language:English
Published: Elsevier 2024-10-01
Series:Energy Conversion and Management: X
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Online Access:http://www.sciencedirect.com/science/article/pii/S2590174524001995
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author Arun Teja Doppalapudi
Abul Kalam Azad
M.M.K. Khan
Amanullah Maung Than Oo
author_facet Arun Teja Doppalapudi
Abul Kalam Azad
M.M.K. Khan
Amanullah Maung Than Oo
author_sort Arun Teja Doppalapudi
collection DOAJ
description The conversion parameters in biodiesel production have a substantial impact on the yield of methyl esters, consequently affecting the physicochemical properties of the fuel. Tucuma and Ungurahui bio-oils were used in this study to optimize the process parameters. A total of 27 transesterification experiments were conducted for each bio-oil, and the results were statistically investigated using the RSM approach. In addition, advanced kinetic modelling was performed using Aspen Plus software tools on the Tucuma biodiesel transesterification process to investigate the key effect of process parameters on the fuel properties. The study found a greater yield of 99.4 % and 99.5 % for Tucuma and Ungurahui, respectively, under optimized parametric conditions. ANOVA tests revealed lower p-values for catalyst and temperature, indicating their significant influence on the conversion process. For both fuels, GC–MS tests recorded 100 % methyl esters, and fuel properties agree with the ASTM biodiesel standards. Notably, the viscosity of both biodiesels is 4.0 mm2/s, which closely matches that of diesel fuel. Furthermore, the process parameters such as methanol-to-oil ratio, catalyst, and temperatures influenced the methyl esters such as oleate, linoleate, and palmitate, impacting properties density and calorific value. Besides, viscosity was affected by the time parameter, which in turn influenced methyl stearate. The study concludes that while the process parameters influenced the fuel properties, their overall impact on the change was marginal.
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spelling doaj-art-0fb2fa9fc76d4da296a254e1d8eefb422025-08-20T02:49:44ZengElsevierEnergy Conversion and Management: X2590-17452024-10-012410072110.1016/j.ecmx.2024.100721Optimization and simulation of Tucuma and Ungurahui biodiesel process parameters and their effects on fuel propertiesArun Teja Doppalapudi0Abul Kalam Azad1M.M.K. Khan2Amanullah Maung Than Oo3School of Engineering and Technology, Central Queensland University, 120 Spencer Street, Melbourne, VIC 3000, Australia; Corresponding authors.School of Engineering and Technology, Central Queensland University, 120 Spencer Street, Melbourne, VIC 3000, Australia; Corresponding authors.School of Engineering, Computer & Mathematical Sciences, Auckland University of Technology, Auckland, New ZealandSchool of Engineering, Macquarie University, Sydney, New South Wales, AustraliaThe conversion parameters in biodiesel production have a substantial impact on the yield of methyl esters, consequently affecting the physicochemical properties of the fuel. Tucuma and Ungurahui bio-oils were used in this study to optimize the process parameters. A total of 27 transesterification experiments were conducted for each bio-oil, and the results were statistically investigated using the RSM approach. In addition, advanced kinetic modelling was performed using Aspen Plus software tools on the Tucuma biodiesel transesterification process to investigate the key effect of process parameters on the fuel properties. The study found a greater yield of 99.4 % and 99.5 % for Tucuma and Ungurahui, respectively, under optimized parametric conditions. ANOVA tests revealed lower p-values for catalyst and temperature, indicating their significant influence on the conversion process. For both fuels, GC–MS tests recorded 100 % methyl esters, and fuel properties agree with the ASTM biodiesel standards. Notably, the viscosity of both biodiesels is 4.0 mm2/s, which closely matches that of diesel fuel. Furthermore, the process parameters such as methanol-to-oil ratio, catalyst, and temperatures influenced the methyl esters such as oleate, linoleate, and palmitate, impacting properties density and calorific value. Besides, viscosity was affected by the time parameter, which in turn influenced methyl stearate. The study concludes that while the process parameters influenced the fuel properties, their overall impact on the change was marginal.http://www.sciencedirect.com/science/article/pii/S2590174524001995BiodieselTransesterificationResponse surface methodologyFuel propertiesProcess optimizationAspen plus
spellingShingle Arun Teja Doppalapudi
Abul Kalam Azad
M.M.K. Khan
Amanullah Maung Than Oo
Optimization and simulation of Tucuma and Ungurahui biodiesel process parameters and their effects on fuel properties
Energy Conversion and Management: X
Biodiesel
Transesterification
Response surface methodology
Fuel properties
Process optimization
Aspen plus
title Optimization and simulation of Tucuma and Ungurahui biodiesel process parameters and their effects on fuel properties
title_full Optimization and simulation of Tucuma and Ungurahui biodiesel process parameters and their effects on fuel properties
title_fullStr Optimization and simulation of Tucuma and Ungurahui biodiesel process parameters and their effects on fuel properties
title_full_unstemmed Optimization and simulation of Tucuma and Ungurahui biodiesel process parameters and their effects on fuel properties
title_short Optimization and simulation of Tucuma and Ungurahui biodiesel process parameters and their effects on fuel properties
title_sort optimization and simulation of tucuma and ungurahui biodiesel process parameters and their effects on fuel properties
topic Biodiesel
Transesterification
Response surface methodology
Fuel properties
Process optimization
Aspen plus
url http://www.sciencedirect.com/science/article/pii/S2590174524001995
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AT mmkkhan optimizationandsimulationoftucumaandungurahuibiodieselprocessparametersandtheireffectsonfuelproperties
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