Parametric optimization of microwave-assisted green fuel production from Caryota urens seed oil using response surface methodology and artificial neural networks
Artykuł w czasopiśmie
MNiSW
20
Lista 2024
| Status: | |
| Autorzy: | Anbalaga Suresh Kumar , Kasianantham Nanthagopal, Gęca Michał Jan, Jambulingam Ranjitha |
| Dyscypliny: | |
| Aby zobaczyć szczegóły należy się zalogować. | |
| Rok wydania: | 2025 |
| Wersja dokumentu: | Drukowana | Elektroniczna |
| Język: | angielski |
| Wolumen/Tom: | 27 |
| Numer artykułu: | 106975 |
| Strony: | 1 - 12 |
| Impact Factor: | 7,9 |
| Web of Science® Times Cited: | 1 |
| Scopus® Cytowania: | 1 |
| Bazy: | Web of Science | Scopus |
| Efekt badań statutowych | NIE |
| Materiał konferencyjny: | NIE |
| Publikacja OA: | TAK |
| Licencja: | |
| Sposób udostępnienia: | Witryna wydawcy |
| Wersja tekstu: | Ostateczna wersja opublikowana |
| Czas opublikowania: | W momencie opublikowania |
| Data opublikowania w OA: | 1 września 2025 |
| Abstrakty: | angielski |
| Bio-oil, produced by non-edible seeds, is an emerging sustainable feedstock for biodiesel production in industrial applications. In this study, bio-oil obtained from Caryota urens seeds was used for biodiesel production using a heterogeneous catalyst (CuBDC MOFs). The reaction parameters were optimized using integrated RSM and ANN modeling approaches. RSM (Response Surface Methodology) using a Central Composite Design (CCD) identified reaction parameters: catalyst concentration, Reaction temperature, Reaction time, and Molar ratio of oil to alcohol, enhanced biodiesel yield and achieved high predictive accuracy with an R² of 0.9340. Similarly, the Artificial Neural Network (ANN), with a configuration of hidden neurons, outperforms RSM, yielding a correlation coefficient (R²) of 0.91663 and 0.94325 for training and validation, along with a lower Mean Absolute Error (MAE) and Root Mean Squared Error (RMSE). This integrated approach demonstrates the advantages of combining statistical (RSM) and Computational (ANN) tools for optimizing biodiesel production. The produced biodiesel was tested for its fuel properties and compared with ASTM standards to ensure it to met the required diesel properties. Based on the optimization study results, biodiesel produced from Caryota urens seeds oil can be tested in a diesel engine. The study highlights Caryota urens as a promising biomass resource for industrial-scale of sustainable biodiesel production.. |
