Production of biodiesel from waste cooking oil via deoxygenation using ni-mo/ac catalyst
Waste cooking oil (WCO) from palm oil is one of the most prospective biodiesel feedstock when compared to other oil seeds. Thus, WCO has great potential as a green source of diesel fuel for engines in motor vehicles and machinery. This project aimed to study the potential of three randomly selected...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English English |
| Published: |
Multidisciplinary Digital Publishing Institute
2021
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| Subjects: | |
| Online Access: | https://eprints.ums.edu.my/id/eprint/32587/1/Production%20of%20biodiesel%20from%20waste%20cooking%20oil%20via%20deoxygenation.pdf https://eprints.ums.edu.my/id/eprint/32587/3/Production%20of%20biodiesel%20from%20waste%20cooking%20oil%20via%20deoxygenation%20%20_ABSTRACT.pdf https://eprints.ums.edu.my/id/eprint/32587/ https://www.mdpi.com/2227-9717/9/5/750/htm https://doi.org/10.3390/pr9050750 |
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| Institution: | Universiti Malaysia Sabah |
| Language: | English English |
| Summary: | Waste cooking oil (WCO) from palm oil is one of the most prospective biodiesel feedstock when compared to other oil seeds. Thus, WCO has great potential as a green source of diesel fuel for engines in motor vehicles and machinery. This project aimed to study the potential of three randomly selected types of WCO, namely; sample A (used 1× once to fry an egg), sample B (used 3 – 5× to fry salted fish), and sample C (used repeatedly to fry banana fritter) for the production of green diesel fuel over Ni-Mo/AC (nickel and molybdenum oxides incorporated with activated carbon) catalyst through the deoxygenation (DO) process. The prepared catalyst was characterized through X-ray diffraction (XRD), thermogravimetric analysis (TGA), and field emission scanning electron microscopy (FESEM). The DO process was performed at 350 ◦C to remove oxygen from the WCO samples. The liquid products were analysed by gas chromatography-mass spectrometer (GC-MS) and gas chromatography-flame ionization detector (GC-FID), to measure the yields of straight-chain hydrocarbons and fractions in the range C8 - C20. Results showed that the highest n-(C8 - C20) hydrocarbon fractions were produced in the order of sample B (89.93%) > C (88.84%) > A (82.81%). |
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