Application of fuzzy neural networks for modeling of biodegradation and biogas production in a full-scale internal circulation anaerobic reactor.
This paper presents the development and evaluation of three fuzzy neural network (FNN) models for a full-scale anaerobic digestion system treating paper-mill wastewater. The aim was the investigation of feasibility of the approach-based control system for the prediction of effluent quality and biogas production from an internal circulation (IC) anaerobic reactor system. To improve FNN performance, fuzzy subtractive clustering was used to identify model's architecture and optimize fuzzy rule, and a total of 5 rules were extracted in the IF-THEN format. Findings of this study clearly indicated that, compared to NN models, FNN models had smaller RMSE and MAPE as well as bigger R for the testing datasets than NN models. The proposed FNN model produced smaller deviations and exhibited a superior predictive performance on forecasting of both effluent quality and biogas (methane) production rates with satisfactory determination coefficients greater than 0.90. From the results, it was concluded that FNN modeling could be applied in IC anaerobic reactor for predicting the biodegradation and biogas production using paper-mill wastewater.
a School of Environmental Science and Engineering, Guangdong Provincial Key Laboratory of Environmental Pollution Control and Remediation Technology , Sun Yat-Sen University , Guangzhou , China.
Jujun
J
Ruan
b Department of Water Resources and Environment, Guangdong Provincial Key Laboratory of Urbanization and Geo-simulation , Sun Yat-sen University , Guangzhou , China.
Xiaohong
X
Chen
b Department of Water Resources and Environment, Guangdong Provincial Key Laboratory of Urbanization and Geo-simulation , Sun Yat-sen University , Guangzhou , China.
Mingzhi
M
Huang
a School of Environmental Science and Engineering, Guangdong Provincial Key Laboratory of Environmental Pollution Control and Remediation Technology , Sun Yat-Sen University , Guangzhou , China.
Tao
T
Zhang
D000693:Anaerobiosis; D001673:Biodegradation, Environmental; D056804:Biofuels; D019149:Bioreactors; D016000:Cluster Analysis; D017143:Fuzzy Logic; D007220:Industrial Waste; D008697:Methane / Q000096:biosynthesis*; D008962:Models, Theoretical; D016571:Neural Networks, Computer; D010209:Paper; D014865:Waste Disposal, Fluid / Q000379:methods; D062065:Wastewater
D056804:Biofuels; D007220:Industrial Waste; D008697:Methane; D062065:Wastewater
Fuzzy neural network; internal circulation (IC) anaerobic reactor; modeling; paper-mill wastewater