Modeling and Multiresponse Optimization for Anaerobic Codigestion of Oil Refinery Wastewater and Chicken Manure by Using Artificial Neural Network and the Taguchi Method
文献类型： 外文期刊
作者： Mehryar, Esmaeil 1 ; Ding, Weimin 1 ; Hemmat, Abbas 2 ; Hassan, Muhammad 3 ; Talha, Zahir 1 ; Kafashan, Jalal 4 ; Huan 1 ;
作者机构： 1.Nanjing Agr Univ, Coll Engn, Nanjing 210031, Jiangsu, Peoples R China
2.Isfahan Univ Technol, Coll Agr, Dept Biosyst Engn, Esfahan 8415683111, Iran
3.Natl Univ Sci & Technol, US Pakistan Ctr Adv Studies Energy, Islamabad 44000, Pakistan
4.Katholieke Univ Leuven, Div Mech Biostat & Sensors MeBioS, Kasteelpk Arenberg 30, B-3001 Heverlee, Belgium
5.Agr Res Educ & Extens Org, Agr Engn Res Inst, Dept Mech Engn Agromachinery & Mechanisat, POB 31585-845, Karaj, Iran
6.Jiangsu Acad Agr Sci, Inst Agr Resources & Environm, Nanjing 210014, Jiangsu, Peoples R China
期刊名称：BIOMED RESEARCH INTERNATIONAL （ 影响因子：3.411； 五年影响因子：3.62 ）
ISSN： 2314-6133
年卷期： 2017 年
页码：
收录情况： SCI
摘要： To study the optimum process conditions for pretreatments and anaerobic codigestion of oil refinery wastewater (ORWW) with chicken manure, L-9 (3(4)) Taguchi's orthogonal array was applied. The biogas production (BGP), biomethane content (BMP), and chemical oxygen demand solubilization (CODS) in stabilization rate were evaluated as the process outputs. The optimum conditions were obtained by using Design Expert software (Version 7.0.0). The results indicated that the optimum conditions could be achieved with 44% ORWW, 36 degrees C temperature, 30 min sonication, and 6% TS in the digester. The optimum BGP, BMP, and CODS removal rates by using the optimum conditions were 294.76 mL/gVS, 151.95 mL/gVS, and 70.22%, respectively, as concluded by the experimental results. In addition, the artificial neural network (ANN) technique was implemented to develop an ANN model for predicting BGP yield and BMP content. The Levenberg-Marquardt algorithm was utilized to train ANN, and the architecture of 9-19-2 for the ANN model was obtained.
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