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Modeling and Multiresponse Optimization for Anaerobic Codigestion of Oil Refinery Wastewater and Chicken Manure by Using Artificial Neural Network and the Taguchi Method
المؤلفون المشاركون
Talha, Zahir
Ding, Weimin
Mehryar, Esmaeil
Hassan, Muhammad
Hemmat, Abbas
Kafashan, Jalal
Huang, Hongying
المصدر
العدد
المجلد 2017، العدد 2017 (31 ديسمبر/كانون الأول 2017)، ص ص. 1-15، 15ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2017-12-26
دولة النشر
مصر
عدد الصفحات
15
التخصصات الرئيسية
الملخص EN
To study the optimum process conditions for pretreatments and anaerobic codigestion of oil refinery wastewater (ORWW) with chicken manure, L9 (34) 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°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.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Mehryar, Esmaeil& Ding, Weimin& Hemmat, Abbas& Hassan, Muhammad& Talha, Zahir& Kafashan, Jalal…[et al.]. 2017. Modeling and Multiresponse Optimization for Anaerobic Codigestion of Oil Refinery Wastewater and Chicken Manure by Using Artificial Neural Network and the Taguchi Method. BioMed Research International،Vol. 2017, no. 2017, pp.1-15.
https://search.emarefa.net/detail/BIM-1134464
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Mehryar, Esmaeil…[et al.]. Modeling and Multiresponse Optimization for Anaerobic Codigestion of Oil Refinery Wastewater and Chicken Manure by Using Artificial Neural Network and the Taguchi Method. BioMed Research International No. 2017 (2017), pp.1-15.
https://search.emarefa.net/detail/BIM-1134464
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Mehryar, Esmaeil& Ding, Weimin& Hemmat, Abbas& Hassan, Muhammad& Talha, Zahir& Kafashan, Jalal…[et al.]. Modeling and Multiresponse Optimization for Anaerobic Codigestion of Oil Refinery Wastewater and Chicken Manure by Using Artificial Neural Network and the Taguchi Method. BioMed Research International. 2017. Vol. 2017, no. 2017, pp.1-15.
https://search.emarefa.net/detail/BIM-1134464
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1134464
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر
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