Biodiesel production from waste cooking oil via supercritical methanol: Optimisation and reactor simulation
Journal article
Saha, B, Aboelazayem, O and Gadalla, M (2017). Biodiesel production from waste cooking oil via supercritical methanol: Optimisation and reactor simulation. Renewable Energy. 124, pp. 144-154. https://doi.org/10.1016/j.renene.2017.06.076
Authors | Saha, B, Aboelazayem, O and Gadalla, M |
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Abstract | Biodiesel production using supercritical methanol in the absence of catalyst has been analysed by studying the main factors affecting biodiesel yield. A quadratic polynomial model has been developed using Response Surface Methodology (RSM). Box-Behnken Design (BBD) has been used to evaluate the influence of four independent variables i.e. methanol to oil (M:O) molar ratio, temperature, pressure and time on biodiesel yield. The optimum biodiesel yield is 91% at M:O molar ratio, temperature, pressure and reaction time of 37:1, 253.5oC, 198.5 bar and 14.8 minutes, respectively. Overall reaction kinetics has been studied at optimum conditions concluding a pseudo first order reaction with reaction rate constant of 0.0006 s-1. Moreover, thermodynamics of the reaction has been analysed in the temperature range between 240 and 280oC concluding frequency factor and activation energy of 4.05 s-1 and 50.5 kJ/mol, respectively. A kinetic reactor has been simulated on HYSYS using the obtained kinetic data resulting in 91.7% conversion of triglycerides (TG) with 0.2% relative error from the experimental results. |
Keywords | Biodiesel; Supercritical Transesterification; Optimisation; Response Surface Methodology; Kinetic Reactor; HYSYS Simulation; 0906 Electrical And Electronic Engineering; 0913 Mechanical Engineering; Energy |
Year | 2017 |
Journal | Renewable Energy |
Journal citation | 124, pp. 144-154 |
Publisher | Elsevier |
ISSN | 0960-1481 |
Digital Object Identifier (DOI) | https://doi.org/10.1016/j.renene.2017.06.076 |
Publication dates | |
23 Jun 2017 | |
Publication process dates | |
Deposited | 01 Aug 2017 |
Accepted | 20 Jun 2017 |
Accepted author manuscript | License File Access Level Open |
https://openresearch.lsbu.ac.uk/item/86yyy
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