Publication: Characterization of the optimal catalytic pyrolysis conditions for bio-oil production from brown salwood (Acacia mangium Willd) residues
| dc.contributor.author | Charusiri W. | |
| dc.contributor.author | Numcharoenpinij N. | |
| dc.date.accessioned | 2021-04-05T03:22:52Z | |
| dc.date.available | 2021-04-05T03:22:52Z | |
| dc.date.issued | 2017 | |
| dc.date.issuedBE | 2560 | |
| dc.description.abstract | Fast growing trees have recently attracted interest as a possible feedstock for bio-energy because they are environmentally friendly and provide a sustainable energy source. This work demonstrated the production of bio-oil and related chemicals by the catalytic pyrolysis of brown salwood (Acacia mangium Willd) residue in a continuous pyrolysis reactor using 1.00 wt % of dolomite catalyst. The effects of temperature (440–580 °C), biomass feed rate (0.3–0.9 kg h−1), and nitrogen gas flow rate (80–160 cm3 min−1) and their reciprocal interaction were determined; these parameters were adjusted systematically to optimize the experimental design using Box-Behnken design. Response surface methodology based on 3 levels of experimental design was used to determine the parameters that affected the production of bio-oil and the product distribution. The optimum conditions were determined to be a reaction temperature of 540 °C, a biomass feed rate of 0.45 kg h−1 and a nitrogen gas flow rate of 155.00 cm3 min−1 with a constant amount of 1.0 wt% dolomite catalyst. We obtained a maximum bio-oil yield of 44.78 ± 0.47 wt% through the use of response surface methodology. The modified quadratic regression model revealed the optimal application of temperature and feed rate in accordance with the residence time; meanwhile, the nitrogen gas flow rate was also considered. The bio-oil was characterized using GC-MS, FTIR, and physicochemical and elemental analyses. Brown salwood residues were shown to be applicable to thermal processes, and catalytic pyrolysis was shown to be a potential candidate to produce bio-oil and value-added chemicals for several applications. © 2017 Elsevier Ltd | |
| dc.format.mimetype | application/pdf | |
| dc.identifier.citation | Biomass and Bioenergy. Vol 106, (2017), p.127-136 | |
| dc.identifier.doi | 10.1016/j.biombioe.2017.08.030 | |
| dc.identifier.issn | 9619534 | |
| dc.identifier.other | 2-s2.0-85028530676 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14740/4575 | |
| dc.rights.holder | Scopus | |
| dc.subject.other | Catalysts | |
| dc.subject.other | Flow of gases | |
| dc.subject.other | Nitrogen | |
| dc.subject.other | Optimization | |
| dc.subject.other | Product design | |
| dc.subject.other | Pyrolysis | |
| dc.subject.other | Regression analysis | |
| dc.subject.other | Residence time distribution | |
| dc.subject.other | Statistics | |
| dc.subject.other | Surface properties | |
| dc.subject.other | Temperature | |
| dc.subject.other | Bio oil | |
| dc.subject.other | Box-Behnken | |
| dc.subject.other | Brown salwood | |
| dc.subject.other | Catalytic pyrolysis | |
| dc.subject.other | Response surface methodology | |
| dc.subject.other | Petroleum industry | |
| dc.subject.other | Analytical method | |
| dc.subject.other | Biomass | |
| dc.subject.other | Catalysis | |
| dc.subject.other | Catalyst | |
| dc.subject.other | Dicotyledon | |
| dc.subject.other | Dolomite | |
| dc.subject.other | Experimental design | |
| dc.subject.other | Flow velocity | |
| dc.subject.other | Nitrogen | |
| dc.subject.other | Oil production | |
| dc.subject.other | Optimization | |
| dc.subject.other | Plant residue | |
| dc.subject.other | Pyrolysis | |
| dc.subject.other | Residence time | |
| dc.subject.other | Response surface methodology | |
| dc.subject.other | Temperature effect | |
| dc.subject.other | Acacia mangium | |
| dc.title | Characterization of the optimal catalytic pyrolysis conditions for bio-oil production from brown salwood (Acacia mangium Willd) residues | |
| dc.type | Article | |
| dspace.entity.type | Publication | |
| swu.datasource.scopus | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85028530676&doi=10.1016%2fj.biombioe.2017.08.030&partnerID=40&md5=503a1a58d0a890ca93db0de7cd3f62bb |
