Modeling and Multiresponse Optimization for Anaerobic Codigestion of Oil Refinery Wastewater and Chicken Manure by Using Artificial Neural Network and the Taguchi Method
Joint Authors
Talha, Zahir
Ding, Weimin
Mehryar, Esmaeil
Hassan, Muhammad
Hemmat, Abbas
Kafashan, Jalal
Huang, Hongying
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-12-26
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract 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.
American Psychological Association (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
Modern Language Association (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
American Medical Association (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
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1134464