Production of high-quality pyrolytic bio-oils from nutrient-stressed Scenedesmus obliquus microalgae

被引:8
|
作者
Mustapha, Sherif Ishola [1 ,4 ]
Mohammed, Usman Aliyu [1 ]
Rawat, Ismail [2 ]
Bux, Faizal [2 ]
Isa, Yusuf Makarfi [3 ]
机构
[1] Durban Univ Technol, Dept Chem Engn, Fuels & Petrochem Grp, ZA-4000 Durban, South Africa
[2] DUT, Inst Water & Wastewater Technol, POB 1334, ZA-4000 Durban, South Africa
[3] Univ Witwatersrand, Sch Chem & Met Engn, Private Bag X3,POB 2050, ZA-2050 Johannesburg, South Africa
[4] Univ Ilorin, Dept Chem Engn, PMB 1515, Ilorin, Nigeria
基金
新加坡国家研究基金会;
关键词
Bio-oil; Nutrient alteration; Microalgae; Pyrolysis; Artificial neural network; CATALYTIC PYROLYSIS; LIPID-CONTENT; HYDROTHERMAL LIQUEFACTION; NANNOCHLOROPSIS-OCULATA; NITROGEN; BIOMASS; PROTEIN; GROWTH; WASTE;
D O I
10.1016/j.fuel.2022.126299
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Nutrient alteration as a tool for enhancement of yields and quality of bio-oils produced from thermal conversion of microalgae has not received sufficient attention. To better understand the effect of nutrient stressing on the process, pyrolysis experiments were conducted on unstressed S. obliquus microalgae (N3), nutrient-stressed S. obliquus microalgae (N1) and its residual algae after lipid extraction (R-N1) at different temperatures (400 degrees C to 700 degrees C) and the results compared. The biomass characterization results indicated that nutrient stressed conditions altered the microalgae biomass composition and the empirical formula for N1, R-N1, and N3 microalgae biomass were CH2.00N0.07O0.71, CH2.36N0.08O0.75, and CH2.35N0.14O0.71, respectively. The maximum yield of bio-oil for N1 (46.37 wt%) and R-N1 (34.85 wt%) was obtained at 500 degrees C, while the highest yield of bio-oil for N3 (41.94 wt%) was obtained at 600 degrees C. Also, the proportion of nitrogen compounds in N3 bio-oil (47.4 %) was significantly higher than that obtained in the nutrient-stressed microalgae biomass (N1) bio-oil (5.92 %) at a pyrolysis temperature of 500 degrees C. Thus, the nutrient-stressed approach is considered promising to produce good-quality pyrolytic bio-oil from microalgae biomass. A predictive model was developed based on an artificial neural network (ANN) and can serve as a framework for bio-oil yield prediction.
引用
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页数:11
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