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Design of Feedback Control Strategies in a Plant-Wide Wastewater Treatment Plant for Simultaneous Evaluation of Economics, Energy Usage, and Removal of Nutrients

Author

Listed:
  • Abdul Gaffar Sheik

    (Department of Chemical Engineering, National Institute of Technology, Warangal 506 004, Telangana, India)

  • Eagalapati Tejaswini

    (Department of Chemical Engineering, National Institute of Technology, Warangal 506 004, Telangana, India)

  • Murali Mohan Seepana

    (Department of Chemical Engineering, National Institute of Technology, Warangal 506 004, Telangana, India)

  • Seshagiri Rao Ambati

    (Department of Chemical Engineering, National Institute of Technology, Warangal 506 004, Telangana, India)

  • Montse Meneses

    (Department of Telecommunication and System Engineering, Universitat Autonoma de Barcelona, 08193 Barcelona, Spain)

  • Ramon Vilanova

    (Department of Telecommunication and System Engineering, Universitat Autonoma de Barcelona, 08193 Barcelona, Spain)

Abstract

Simultaneous removal of nitrogen and phosphorous is a recommended practice while treating wastewater. In the present study, control strategies based on proportional-integral (PI), model predictive control (MPC), and fuzzy logic are developed and implemented on a plant-wide wastewater treatment plant. Four combinations of control frameworks are developed in order to reduce the operational cost and improve the effluent quality. As a working platform, a Benchmark simulation model (BSM2-P) is used. A default control framework with PI controllers is used to control nitrate and dissolved oxygen (DO) by manipulating the internal recycle and oxygen mass transfer coefficient (K L a). Hierarchical control topology is proposed in which a lower-level control framework with PI controllers is implemented to DO in the sixth reactor by regulating the K L a of the fifth, sixth, and seventh reactors, and fuzzy and MPC are used at the supervisory level. This supervisory level considers the ammonia in the last aerobic reactor as a feedback signal to alter the DO set-points. PI-fuzzy showed improved effluent quality by 21.1%, total phosphorus removal rate by 33.3% with an increase of operational cost, and a slight increase in the production rates of greenhouse gases. In all the control design frameworks, a trade-off is observed between operational cost and effluent quality.

Suggested Citation

  • Abdul Gaffar Sheik & Eagalapati Tejaswini & Murali Mohan Seepana & Seshagiri Rao Ambati & Montse Meneses & Ramon Vilanova, 2021. "Design of Feedback Control Strategies in a Plant-Wide Wastewater Treatment Plant for Simultaneous Evaluation of Economics, Energy Usage, and Removal of Nutrients," Energies, MDPI, vol. 14(19), pages 1-19, October.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:19:p:6386-:d:650745
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    References listed on IDEAS

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    1. S. Revollar & R. Vilanova & P. Vega & M. Francisco & M. Meneses, 2020. "Wastewater Treatment Plant Operation: Simple Control Schemes with a Holistic Perspective," Sustainability, MDPI, vol. 12(3), pages 1-28, January.
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    Cited by:

    1. Maciej Ławryńczuk & Piotr M. Marusak & Patryk Chaber & Dawid Seredyński, 2022. "Initialisation of Optimisation Solvers for Nonlinear Model Predictive Control: Classical vs. Hybrid Methods," Energies, MDPI, vol. 15(7), pages 1-21, March.

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