Extrapolating performance indicators for annual overflow volume reduction of system-wide real time control strategies

Luca Vezzaro*

*Corresponding author for this work

    Research output: Contribution to journalJournal articleResearchpeer-review

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    Abstract

    Model-based evaluation of real time control and model predictive control strategies is often performed by estimating the yearly reduction in combined sewer overflow (CSO) volumes. This requires sufficiently long data series, but the necessary input data are often lacking in the case of complex control strategies. This article compares a new method to extrapolate yearly CSO volume reduction by simulating a limited number of CSO events. The method showed a good accuracy (2–3% deviation) when applied to a synthetic example. When applied to a real case study in Copenhagen (Denmark), the method showed a tendency to overestimate the performance of the control. The results underline how performance of real time control strategies is strongly affected by yearly variation, non-linearity and interactions among the elements of the system. It is thus suggested to use a mix of different performance indicators when evaluating control performance in conditions of data scarcity.
    Original languageEnglish
    JournalUrban Water Journal
    Volume19
    Issue number1
    Pages (from-to)15-21
    Number of pages7
    ISSN1573-062X
    DOIs
    Publication statusPublished - 2022

    Keywords

    • Model Predictive Control
    • Key Performance Indicators
    • Uncertainty
    • Combined Sewer Overflows

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