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

Abdul Gaffar Sheik, Eagalapati Tejaswini, Murali Mohan Seepana, Seshagiri Rao Ambati, Montse Meneses and Ramon Vilanova
Additional contact information
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

Energies, 2021, vol. 14, issue 19, 1-19

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.

Keywords: supervisory layer; BSM2 model; model predictive control; fuzzy controller; operational cost (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.mdpi.com/1996-1073/14/19/6386/pdf (application/pdf)
https://www.mdpi.com/1996-1073/14/19/6386/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:14:y:2021:i:19:p:6386-:d:650745

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().