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Operational optimization of wastewater treatment plants: a CMDP based decomposition approach

Author

Listed:
  • Alexander Zadorojniy

    (IBM Research - Haifa)

  • Adam Shwartz

    (Jacobs Technion-Cornell Institute)

  • Segev Wasserkrug

    (IBM Research - Haifa)

  • Sergey Zeltyn

    (IBM Research - Haifa)

Abstract

This work considers an operational management optimization of wastewater treatment plants. We present a new, CMDP-based optimization model for this problem, as well as a decomposition algorithm for solving it. From a theoretical perspective, we show that the algorithm’s solution is near-optimal and provides an upper bound for its result. For practical considerations, we applied our approach to the plant of a medium-sized European city. We achieved a significant reduction in costs as well as an improvement in compliance with local regulations.

Suggested Citation

  • Alexander Zadorojniy & Adam Shwartz & Segev Wasserkrug & Sergey Zeltyn, 2022. "Operational optimization of wastewater treatment plants: a CMDP based decomposition approach," Annals of Operations Research, Springer, vol. 317(1), pages 313-330, October.
    • Handle: RePEc:spr:annopr:v:317:y:2022:i:1:d:10.1007_s10479-016-2146-z
    DOI: 10.1007/s10479-016-2146-z
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    Keywords

    MDP; Constraints; WWTP;
    All these keywords.

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