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Multi-response optimization of process parameters in biogas production from food waste using Taguchi-Grey relational analysis

机译:使用Taguchi-Grey关联分析法优化餐厨垃圾沼气生产过程参数的多响应优化

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In the present study, the influence of process parameters and pretreatment on biogas production, volatile solid degradation and COD degradation during anaerobic digestion of food waste were experimentally investigated. Using Taguchi based Grey relational analysis, the optimum condition for anaerobic digestion was found. Taguchi technique was coupled with grey relational analysis to obtain a grey relational grade for evaluating multiple outputs. A L-16 orthogonal array was selected and designed for five parameters varied through four levels by applying Taguchi's design of experiments. The optimum level values of parameters obtained for anaerobic digestion of food waste is solid concentration of 7.5% TS, pH of 7, temperature of 50 degrees C, C/N ratio of 20.19 and ultrasonication pretreatment. Percentage contribution of input parameters on output was determined using ANOVA. The results showed that pretreatment is the prominent parameter that contributes towards output responses followed by pH, solid concentration, temperature and C/N ratio. (C) 2016 Elsevier Ltd. All rights reserved.
机译:在本研究中,实验研究了工艺参数和预处理对餐厨垃圾厌氧消化过程中沼气产生,挥发性固体降解和COD降解的影响。使用基于田口的灰色关联分析,找到了厌氧消化的最佳条件。 Taguchi技术与灰色关联分析相结合,以获得用于评估多个输出的灰色关联等级。通过应用Taguchi的实验设计,选择了L-16正交阵列并将其设计为通过四个级别变化的五个参数。用于食物残渣厌氧消化的参数的最佳水平值为固体浓度为7.5%TS,pH为7,温度为50摄氏度,C / N比为20.19和超声预处理。使用方差分析确定输入参数对输出的百分比贡献。结果表明,预处理是影响输出响应的主要参数,其次是pH,固体浓度,温度和C / N比。 (C)2016 Elsevier Ltd.保留所有权利。

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