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

Alexander Zadorojniy (), Adam Shwartz (), Segev Wasserkrug () and Sergey Zeltyn ()
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Alexander Zadorojniy: IBM Research - Haifa
Adam Shwartz: Jacobs Technion-Cornell Institute
Segev Wasserkrug: IBM Research - Haifa
Sergey Zeltyn: IBM Research - Haifa

Annals of Operations Research, 2022, vol. 317, issue 1, No 16, 313-330

Abstract: 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.

Keywords: MDP; Constraints; WWTP (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/s10479-016-2146-z

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