Multiple-objective optimization in green fuel production via catalytic deoxygenation reaction with NiO-dolomite catalyst
This study investigates the multi-objective optimization of reaction parameters with response surface methodology (RSM) with central composite design (CCD) for the deoxygenation of waste cooking oil (WCO) over low cost-modified local carbonate mineral catalyst (NiO-Malaysian dolomite) into green fue...
| Main Authors: | , , , , , , |
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| Format: | Article |
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Elsevier
2022
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| Online Access: | http://psasir.upm.edu.my/id/eprint/102262/ |
| _version_ | 1848863756920029184 |
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| author | R. S., R. M. Hafriz Arifin, N. A. A., Salmiaton Yunus, R. Yap, Taufiq Y. H. Saifuddin, Nomanbhay Shamsuddin, A. H. |
| author_facet | R. S., R. M. Hafriz Arifin, N. A. A., Salmiaton Yunus, R. Yap, Taufiq Y. H. Saifuddin, Nomanbhay Shamsuddin, A. H. |
| author_sort | R. S., R. M. Hafriz |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | This study investigates the multi-objective optimization of reaction parameters with response surface methodology (RSM) with central composite design (CCD) for the deoxygenation of waste cooking oil (WCO) over low cost-modified local carbonate mineral catalyst (NiO-Malaysian dolomite) into green fuel in the range of gasoline, kerosene and diesel. RSM was performed to study the effect of four operating parameters: temperature (390–430 °C), time (30–120 min), catalyst loading (1–10 wt%) and nitrogen flow rate (50–300 cm3/min). The results indicate that for maximum WCO conversion, deoxygenated oil and product yield, the optimum parameters of the deoxygenation reaction were at 410 °C, 60 min, 5.50 wt% of catalyst loading, and 175 cm3/min of N2. The green fuel properties testing (density, kinematic viscosity, flash point, cloud point, pour point, sulfur, carbon residue, cetane index, oxidation stability, acid value, iodine value and calorific value) and GC–MS analysis show that the product oil meets almost all the requirements of green diesel fuel and hydrocarbon biofuel standards for fuel application while the quadratic model proposed agreed with the experimental data (95% confidence) which indicates that the RSM can adequately predict the reaction products. |
| first_indexed | 2025-11-15T13:37:59Z |
| format | Article |
| id | upm-102262 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-15T13:37:59Z |
| publishDate | 2022 |
| publisher | Elsevier |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-1022622023-07-12T00:54:44Z http://psasir.upm.edu.my/id/eprint/102262/ Multiple-objective optimization in green fuel production via catalytic deoxygenation reaction with NiO-dolomite catalyst R. S., R. M. Hafriz Arifin, N. A. A., Salmiaton Yunus, R. Yap, Taufiq Y. H. Saifuddin, Nomanbhay Shamsuddin, A. H. This study investigates the multi-objective optimization of reaction parameters with response surface methodology (RSM) with central composite design (CCD) for the deoxygenation of waste cooking oil (WCO) over low cost-modified local carbonate mineral catalyst (NiO-Malaysian dolomite) into green fuel in the range of gasoline, kerosene and diesel. RSM was performed to study the effect of four operating parameters: temperature (390–430 °C), time (30–120 min), catalyst loading (1–10 wt%) and nitrogen flow rate (50–300 cm3/min). The results indicate that for maximum WCO conversion, deoxygenated oil and product yield, the optimum parameters of the deoxygenation reaction were at 410 °C, 60 min, 5.50 wt% of catalyst loading, and 175 cm3/min of N2. The green fuel properties testing (density, kinematic viscosity, flash point, cloud point, pour point, sulfur, carbon residue, cetane index, oxidation stability, acid value, iodine value and calorific value) and GC–MS analysis show that the product oil meets almost all the requirements of green diesel fuel and hydrocarbon biofuel standards for fuel application while the quadratic model proposed agreed with the experimental data (95% confidence) which indicates that the RSM can adequately predict the reaction products. Elsevier 2022 Article PeerReviewed R. S., R. M. Hafriz and Arifin, N. A. and A., Salmiaton and Yunus, R. and Yap, Taufiq Y. H. and Saifuddin, Nomanbhay and Shamsuddin, A. H. (2022) Multiple-objective optimization in green fuel production via catalytic deoxygenation reaction with NiO-dolomite catalyst. Fuel, 308 (1). art. no. 122041. pp. 1-19. ISSN 0016-2361; ESSN: 1873-7153 https://www.sciencedirect.com/science/article/pii/S0016236121019177 10.1016/j.fuel.2021.122041 |
| spellingShingle | R. S., R. M. Hafriz Arifin, N. A. A., Salmiaton Yunus, R. Yap, Taufiq Y. H. Saifuddin, Nomanbhay Shamsuddin, A. H. Multiple-objective optimization in green fuel production via catalytic deoxygenation reaction with NiO-dolomite catalyst |
| title | Multiple-objective optimization in green fuel production via catalytic deoxygenation reaction with NiO-dolomite catalyst |
| title_full | Multiple-objective optimization in green fuel production via catalytic deoxygenation reaction with NiO-dolomite catalyst |
| title_fullStr | Multiple-objective optimization in green fuel production via catalytic deoxygenation reaction with NiO-dolomite catalyst |
| title_full_unstemmed | Multiple-objective optimization in green fuel production via catalytic deoxygenation reaction with NiO-dolomite catalyst |
| title_short | Multiple-objective optimization in green fuel production via catalytic deoxygenation reaction with NiO-dolomite catalyst |
| title_sort | multiple-objective optimization in green fuel production via catalytic deoxygenation reaction with nio-dolomite catalyst |
| url | http://psasir.upm.edu.my/id/eprint/102262/ http://psasir.upm.edu.my/id/eprint/102262/ http://psasir.upm.edu.my/id/eprint/102262/ |