Almıla Bahar | Middle East Technical University (original) (raw)
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Papers by Almıla Bahar
7th IFAC International Symposium on Advanced Control of Chemical Processes (2009), 2009
Modeling of esterification reaction of ethanol with acetic acid in a reactive batch distillation ... more Modeling of esterification reaction of ethanol with acetic acid in a reactive batch distillation column is investigated. The dynamic model developed is verified using the data of a theoretical study available in the literature. However, the existing models are found to be inappropriate for this system when compared with the experimental data. Then the model is improved using the data obtained from the experiments performed on a lab-scale column. In the model, different rate expressions and different thermodynamic models ( φ φ − , EOS-G ex , and γ φ − methods) considering different equations of state (EOS), mixing rules and activity coefficient models are used. It is found that the γ φ − approach considering van der Waals mixing rule and NRTL activity coefficient model gives the best fit between the dynamic model and the results of the experiments for the system under study.
Engineering Applications of Artificial Intelligence, 2010
... (1991) and Yıldız et al. (2005), dealing with the design of an Extended Luenberger Observer a... more ... (1991) and Yıldız et al. (2005), dealing with the design of an Extended Luenberger Observer and Extended Kalman Filter, respectively, for multi-component batch distillation column, concluded that even though the linear observer in theory needs only (NC-1) temperature ...
World Congress, 2008
An Artificial Neural Network (ANN) estimator is designed to predict the composition values of a r... more An Artificial Neural Network (ANN) estimator is designed to predict the composition values of a reactive batch distillation system inferentially. The estimator for the reactive batch distillation system, which is recently a preferred industrial operation for specialty ...
Industrial & Engineering Chemistry Research, 2004
An inferential control methodology, that utilizes an artificial neural network (ANN) estimator fo... more An inferential control methodology, that utilizes an artificial neural network (ANN) estimator for a model predictive controller (MPC), is developed for an industrial multicomponent distillation column. In the control of product compositions by a feedback control system, because of ...
7th IFAC International Symposium on Advanced Control of Chemical Processes (2009), 2009
Modeling of esterification reaction of ethanol with acetic acid in a reactive batch distillation ... more Modeling of esterification reaction of ethanol with acetic acid in a reactive batch distillation column is investigated. The dynamic model developed is verified using the data of a theoretical study available in the literature. However, the existing models are found to be inappropriate for this system when compared with the experimental data. Then the model is improved using the data obtained from the experiments performed on a lab-scale column. In the model, different rate expressions and different thermodynamic models ( φ φ − , EOS-G ex , and γ φ − methods) considering different equations of state (EOS), mixing rules and activity coefficient models are used. It is found that the γ φ − approach considering van der Waals mixing rule and NRTL activity coefficient model gives the best fit between the dynamic model and the results of the experiments for the system under study.
Engineering Applications of Artificial Intelligence, 2010
... (1991) and Yıldız et al. (2005), dealing with the design of an Extended Luenberger Observer a... more ... (1991) and Yıldız et al. (2005), dealing with the design of an Extended Luenberger Observer and Extended Kalman Filter, respectively, for multi-component batch distillation column, concluded that even though the linear observer in theory needs only (NC-1) temperature ...
World Congress, 2008
An Artificial Neural Network (ANN) estimator is designed to predict the composition values of a r... more An Artificial Neural Network (ANN) estimator is designed to predict the composition values of a reactive batch distillation system inferentially. The estimator for the reactive batch distillation system, which is recently a preferred industrial operation for specialty ...
Industrial & Engineering Chemistry Research, 2004
An inferential control methodology, that utilizes an artificial neural network (ANN) estimator fo... more An inferential control methodology, that utilizes an artificial neural network (ANN) estimator for a model predictive controller (MPC), is developed for an industrial multicomponent distillation column. In the control of product compositions by a feedback control system, because of ...