| _version_ | 1866901982755684352 |
|---|---|
| author | Seda sahin |
| author_facet | Seda sahin |
| contents | <p><span>This study aimed to optimize parameters for biodiesel production from binary oil blends, specifically focusing on kinematic viscosity as an important parameter. It aimed to determine the optimal conditions for the production of biodiesel from mixtures of canola oil and waste frying oils by varying various production parameters, including reaction temperature, methanol concentration, and NaOH catalyst. Using Response Surface Methodology (RSM), this study evaluated the relationship between input parameters and viscosity using ANOVA to identify significant factors. The performance of the model was evaluated using R-squared, RMSE and MAPE, which demonstrated high accuracy in predicting viscosity. The results showed that NaOH and methanol concentrations significantly affected the viscosity. The study underlines the importance of parameter tuning to achieve desired viscosity levels and thus optimize biodiesel production. These findings contribute to improving the efficiency and quality of biodiesel production processes</span><span>.</span></p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_10950540 |
| institution | Zenodo |
| language | |
| publishDate | 2024 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Modeling Reaction Parameters for Biodiesel Production from Binary Oil Mixtures: A Kinematic Viscosity-based Approach Seda sahin <p><span>This study aimed to optimize parameters for biodiesel production from binary oil blends, specifically focusing on kinematic viscosity as an important parameter. It aimed to determine the optimal conditions for the production of biodiesel from mixtures of canola oil and waste frying oils by varying various production parameters, including reaction temperature, methanol concentration, and NaOH catalyst. Using Response Surface Methodology (RSM), this study evaluated the relationship between input parameters and viscosity using ANOVA to identify significant factors. The performance of the model was evaluated using R-squared, RMSE and MAPE, which demonstrated high accuracy in predicting viscosity. The results showed that NaOH and methanol concentrations significantly affected the viscosity. The study underlines the importance of parameter tuning to achieve desired viscosity levels and thus optimize biodiesel production. These findings contribute to improving the efficiency and quality of biodiesel production processes</span><span>.</span></p> |
| title | Modeling Reaction Parameters for Biodiesel Production from Binary Oil Mixtures: A Kinematic Viscosity-based Approach |
| url | https://doi.org/10.5281/zenodo.10950540 |