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Appl. Sci. 2017, 7(8), 813; doi:10.3390/app7080813

Optimal Control of Wastewater Treatment Plants Using Economic-Oriented Model Predictive Dynamic Strategies

1
Department of Computing and automation, University of Salamanca, 37008 Salamanca, Spain
2
Department of Telecommunications and Systems Engineering School of Engineering, Universitat Autònoma de Barcelona, 08193 Catalonia, Spain
*
Author to whom correspondence should be addressed.
Received: 1 July 2017 / Revised: 25 July 2017 / Accepted: 1 August 2017 / Published: 9 August 2017
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Abstract

This paper addresses the implementation of economic-oriented model predictive controllers for the dynamic real-time optimization of the operation of wastewater treatment plants (WWTP). Both the economic-optimizing controller (pure-EMPC) and the economic-oriented tracking controller (Hybrid-EMPC, or HEMPC) formulations are validated in the benchmark simulation model (BSM1) platform that represents the behavior of a characteristic activated sludge process. The objective of the controllers is to ensure the appropriate operation of the plant, while minimizing the energy consumption and the fines for violations of the limits of the ammonia concentration in the effluent along the full operating period. A non-linear reduced model of the activated sludge process is used for predictions to obtain a reasonable computing effort, and techniques to deal with model-plant mismatch are incorporated in the controller algorithm. Different designs and structures are compared in terms of process performance and energy costs, which show that the implementation of the proposed control technique can produce significant economic and environmental benefits, depending on the desired performance criteria. View Full-Text
Keywords: wastewater treatment plant; activated sludge process; dynamic optimization; economic model predictive control wastewater treatment plant; activated sludge process; dynamic optimization; economic model predictive control
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Revollar, S.; Vega, P.; Vilanova, R.; Francisco, M. Optimal Control of Wastewater Treatment Plants Using Economic-Oriented Model Predictive Dynamic Strategies. Appl. Sci. 2017, 7, 813.

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