Towards a domain-based framework for use of rainfall forecasts in control of integrated urban wastewater systems

Luca Vezzaro, Jonas Wied Pedersen, Vianney Augustin Thomas Courdent, Roland Löwe, Peter Steen Mikkelsen

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    176 Downloads (Orbit)

    Abstract

    An increasing number of Model Predictive Control (MPC) tools have recently been developed. These MPC methods utilize as input a wide range of rainfall forecasts, which differ in their characteristics and prediction skills. Operators need to identify the most appropriate MPC and rainfall forecast for their needs. A domain-based framework is proposed to distinguish between four operational domains, which consider the magnitude of the forecasted rain and the expected status of the system. The framework is presented by using selected Danish case studies as examples, and it will provide a support to operators in the implementation of MPC strategies.
    Original languageEnglish
    Title of host publicationProceedings of 12th IWA Specialized Conference on Instrumentation, Control and Automation
    Place of Publication Québec, Canada
    PublisherIWA Publishing
    Publication date2017
    Pages149-157
    Publication statusPublished - 2017
    Event12th IWA Specialized Conference on Instrumentation, Control and Automation - Quebec City, Canada
    Duration: 11 Jun 201714 Jun 2017
    Conference number: 12

    Conference

    Conference12th IWA Specialized Conference on Instrumentation, Control and Automation
    Number12
    Country/TerritoryCanada
    CityQuebec City
    Period11/06/201714/06/2017

    Keywords

    • Model predictive control
    • Uncertainty
    • Multi objective optimization
    • Water smart cities

    Fingerprint

    Dive into the research topics of 'Towards a domain-based framework for use of rainfall forecasts in control of integrated urban wastewater systems'. Together they form a unique fingerprint.

    Cite this