利用响应面方法优化微波辅助热解小球藻生物油的生产

Mahfud Mahfud , Lailatul Qadariyah , Haqqyana Haqqyana , Viqhi Aswie
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摘要

优化可以通过评估参数和参数之间的相互作用来简化实验,并以此为基础优化下游工艺。本研究旨在利用响应面法(RSM)优化微波辅助热解工艺,从微藻中生产生物油,并对反应机理进行研究。采用面心中心复合设计对一些关键参数(微波功率、吸收剂与微藻比例和热解时间)进行了微调。结果表明,微波技术在缓慢热解过程中从微藻中生产生物油的时间是传统加热方式的 12 倍,在特定条件下,通过 RSM 优化预测实验值的二次方模型精度很高(R2 = 0.9832,R2adj = 0.9616),生物油产量峰值为 19.11%:热解时间为 20 分钟,微波吸收器与微藻的比例为 0.19(重量比),功率为 583 瓦。作为一种复杂的生物质,小球藻在该技术中的反应机理包括脱羧、脱碳、脱水、裂解、脱氧和酯化,GCMS 分析证实了这些机理,并揭示了其中存在的关键官能团,如脂肪族、芳香族、醇类、含氮化合物、脂肪酸甲酯(FAME)和多环芳烃(PAHs)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Optimization bio-oil production from Chlorella sp. through microwave-assisted pyrolysis using response surface methodology

Optimization can streamline experimental trials by evaluating the parameters and parameter interactions used as the basis for a more optimal downstream process. This study aims to optimize the microwave-assisted pyrolysis process in producing bio-oil from microalgae using response surface methodology (RSM) complemented by an investigation of the reaction mechanisms. A number of key parameters (microwave power, absorbent-to-microalgae ratio, and pyrolysis time) were fine-tuned using a face-centered central composite design. The result showed that microwave technology in slow pyrolysis could produce the bio-oil from microalgae 12 times shorter than conventional heating and quadratic model with a high precision (R2 = 0.9832, R2adj = 0.9616) from RSM optimization in predicting experimental values yielded a peak bio-oil yield of 19.11% under specific conditions: 20 min of pyrolysis time, a 0.19 (w/w) microwave absorber to microalgae ratio, and 583 W power. As the complex biomass, the reaction mechanism in chlorella sp. towards this technology including decarboxylation, decarbonylation, dehydration, cracking, deoxygenation, and esterification was proved in GCMS analysis, revealing the presence of key functional groups such as aliphatic, aromatics, alcohols, nitrogenous compounds, fatty acid methyl esters (FAME) and Polycyclic Aromatics Hydrocarbons (PAHs).

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