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 hi...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.展开更多
文摘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.
