The Experts below are selected from a list of 360 Experts worldwide ranked by ideXlab platform

Jozsef Fazakas - One of the best experts on this subject based on the ideXlab platform.

  • Dissolved Oxygen control of the activated sludge wastewater treatment process using model predictive control
    Computers & Chemical Engineering, 2008
    Co-Authors: B Holenda, Endre Domokos, Akos Redey, Jozsef Fazakas
    Abstract:

    Abstract Activated sludge wastewater treatment processes are difficult to be controlled because of their complex and nonlinear behavior, however, the control of the Dissolved Oxygen level in the reactors plays an important role in the operation of the facility. For this reason a new approach is studied in this paper using simulated case-study approach: model predictive control (MPC) has been applied to control the Dissolved Oxygen concentration in an aerobic reactor of a wastewater treatment plant. The control strategy is investigated and evaluated on two examples using systematic evaluation criteria: in a simulation benchmark – developed for the evaluation of different control strategies – the Oxygen concentration has to be maintained at a given level in an aerobic basin; and a changing Oxygen concentration in an alternating activated sludge process is controlled using MPC technique. The effect of some MPC tuning parameters (prediction horizon, input weight, sampling time) are also investigated. The results show that MPC can be effectively used for Dissolved Oxygen control in wastewater treatment plants.

B Holenda - One of the best experts on this subject based on the ideXlab platform.

  • Dissolved Oxygen control of the activated sludge wastewater treatment process using model predictive control
    Computers & Chemical Engineering, 2008
    Co-Authors: B Holenda, Endre Domokos, Akos Redey, Jozsef Fazakas
    Abstract:

    Abstract Activated sludge wastewater treatment processes are difficult to be controlled because of their complex and nonlinear behavior, however, the control of the Dissolved Oxygen level in the reactors plays an important role in the operation of the facility. For this reason a new approach is studied in this paper using simulated case-study approach: model predictive control (MPC) has been applied to control the Dissolved Oxygen concentration in an aerobic reactor of a wastewater treatment plant. The control strategy is investigated and evaluated on two examples using systematic evaluation criteria: in a simulation benchmark – developed for the evaluation of different control strategies – the Oxygen concentration has to be maintained at a given level in an aerobic basin; and a changing Oxygen concentration in an alternating activated sludge process is controlled using MPC technique. The effect of some MPC tuning parameters (prediction horizon, input weight, sampling time) are also investigated. The results show that MPC can be effectively used for Dissolved Oxygen control in wastewater treatment plants.

Akos Redey - One of the best experts on this subject based on the ideXlab platform.

  • Dissolved Oxygen control of the activated sludge wastewater treatment process using model predictive control
    Computers & Chemical Engineering, 2008
    Co-Authors: B Holenda, Endre Domokos, Akos Redey, Jozsef Fazakas
    Abstract:

    Abstract Activated sludge wastewater treatment processes are difficult to be controlled because of their complex and nonlinear behavior, however, the control of the Dissolved Oxygen level in the reactors plays an important role in the operation of the facility. For this reason a new approach is studied in this paper using simulated case-study approach: model predictive control (MPC) has been applied to control the Dissolved Oxygen concentration in an aerobic reactor of a wastewater treatment plant. The control strategy is investigated and evaluated on two examples using systematic evaluation criteria: in a simulation benchmark – developed for the evaluation of different control strategies – the Oxygen concentration has to be maintained at a given level in an aerobic basin; and a changing Oxygen concentration in an alternating activated sludge process is controlled using MPC technique. The effect of some MPC tuning parameters (prediction horizon, input weight, sampling time) are also investigated. The results show that MPC can be effectively used for Dissolved Oxygen control in wastewater treatment plants.

Endre Domokos - One of the best experts on this subject based on the ideXlab platform.

  • Dissolved Oxygen control of the activated sludge wastewater treatment process using model predictive control
    Computers & Chemical Engineering, 2008
    Co-Authors: B Holenda, Endre Domokos, Akos Redey, Jozsef Fazakas
    Abstract:

    Abstract Activated sludge wastewater treatment processes are difficult to be controlled because of their complex and nonlinear behavior, however, the control of the Dissolved Oxygen level in the reactors plays an important role in the operation of the facility. For this reason a new approach is studied in this paper using simulated case-study approach: model predictive control (MPC) has been applied to control the Dissolved Oxygen concentration in an aerobic reactor of a wastewater treatment plant. The control strategy is investigated and evaluated on two examples using systematic evaluation criteria: in a simulation benchmark – developed for the evaluation of different control strategies – the Oxygen concentration has to be maintained at a given level in an aerobic basin; and a changing Oxygen concentration in an alternating activated sludge process is controlled using MPC technique. The effect of some MPC tuning parameters (prediction horizon, input weight, sampling time) are also investigated. The results show that MPC can be effectively used for Dissolved Oxygen control in wastewater treatment plants.

Yusuf Chisti - One of the best experts on this subject based on the ideXlab platform.

  • axial inhomogeneities in steady state Dissolved Oxygen in airlift bioreactors predictive models
    Chemical Engineering Journal, 2001
    Co-Authors: Fernando Camacho Rubio, Jose Luis Garcia, E Molina, Yusuf Chisti
    Abstract:

    Models were developed for prediction and interpretation of the observed steady-state axial Dissolved Oxygen concentration profiles in tall airlift bioreactors. The observed concentration profiles were non-linear because of a combination of hydrodynamic and mass transport factors. The profiles were influenced mainly by the liquid-phase axial dispersion coefficient, the volumetric overall gas–liquid mass transfer coefficient, the gas velocity, the induced liquid circulation velocity. The model-predicted concentration profiles agreed within ±2% with the measured data in a tall (working aspect ratio ∼ 15) airlift vessel operated under aeration regimens that are typically used during wastewater treatment. Axial inhomogeneities in Dissolved Oxygen increased with increasing aeration rate. This phenomenon may influence activated sludge processes in airlift and deep-shaft reactors. The maximum attainable concentration of Dissolved Oxygen at the bottom of a typically aerated airlift reactor, ≥ 3.5 m deep, always remained at 10% axially up the reactor. © 2001 Elsevier Science B.V. All rights reserved.