Multi-parametric optimization of the catalytic pyrolysis of pig hair into bio-oil
| Autor: | Henry Oghenero Orugba, Henry Chukwuemeka Olisakwe, Innocent Eteli Digitemie, Jeremiah Lekwuwa Chukwuneke |
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| Rok vydání: | 2021 |
| Předmět: | |
| Zdroj: | Clean Energy. 5:527-535 |
| ISSN: | 2515-396X 2515-4230 |
| DOI: | 10.1093/ce/zkab038 |
| Popis: | The low yield and poor fuel properties of bio-oil have made the pyrolysis production process uneconomic and also limited bio-oil usage. Proper manipulation of key pyrolysis variables is paramount in order to produce high-quality bio-oil that requires less upgrading. In this research, the pyrolysis of pig hair was carried out in a fixed-bed reactor using a calcium oxide catalyst derived from calcination of turtle shells. In the pyrolysis process, the influence of three variables—temperature, heating rate and catalyst weight—on two responses—bio-oil yield and its higher heating value (HHV)—were investigated using Response Surface Methodology. A second-order regression-model equation was obtained for each response. The optimum yield of the bio-oil and its HHV were obtained as 51.03% and 21.87 mJ/kg, respectively, at 545oC, 45.17oC/min and 2.504 g of pyrolysis temperature, heating rate and catalyst weight, respectively. The high R2 values of 0.9859 and 0.9527, respectively, obtained for the bio-oil yield and its HHV models using analysis of variance revealed that the models can adequately predict the bio-oil yield and its HHV from the pyrolysis process. |
| Databáze: | OpenAIRE |
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