AKTGF ÇAMUR PROSESG HAVALANDIRMA HAVUZU ASKIDA KATI MADDE (AKM) KONSANTRASYONUNUN MEKANGSTGK, YAPAY SG

Dünyamin GÜÇLÜ, Şükrü DURSUN

Abstract


Dynamic simulation is an important tool for the improvement of wastewater treatment
plant operation. In this study, dynamic simulation model of the Ankara central wastewater treatment
plant (ACWT) were evaluated. First, a mechanistic model of the municipal wastewater treatment
process is developed based on Activated Sludge Model No. 1 by using a GPS-X computer program.
Artificial neural network model is also developed with the help of MLP neuronal networks based on
back-propagation algorithm. Then, the mechanistic model is combined with artificial neural network
in parallel configuration. The appropriate architecture of the neural network models was determined
through several steps of trainings and testing of the models. Both three models are performed with
the same data obtained from the plant operation and laboratory analysis to predict dynamic
behaviour of the process. Using these three models, by the purpose of evaluation of treatment
performance, aeration tank MLSS concentrations have been predicted and the results have been
compared. It is observed that the hybrid model approach gives more successful results and describes
the operation conditions of the plant better than ASM1and ANN.


Keywords


Modelling; Activated Sludge Model No.1 (ASM1), Artificial neural network (ANN), Hybrid Modelling; Municipal Wastewater Treatment plant

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