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  4. TwinOptPRO - Digital Platform for Online Pump Scheduling Optimization
 
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2024
Journal Article
Title

TwinOptPRO - Digital Platform for Online Pump Scheduling Optimization

Abstract
Climate change is leading to a general shortage of raw water availability combined with more pronounced seasonality and dry phases. The goal of the collaborative research project TwinOptPRO is to contribute to EU-wide climate neutrality in 2050 by the minimization of energy supply for water treatment and pumps in drinking water distribution systems. For that purpose, a digital platform that combines different forecasting models with simulation and optimization modules was developed. The aim is to ensure secure and compliant supply to customers in the future while maximizing the use of renewable energy and minimizing costs.
Author(s)
Bernard, Thomas  
Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB  
Deuerlein, Jochen W.
Dresen, Martin
Fischer, Michael
Guth, Nicolai
Höche, Rüdiger
Kühnert, Christian  
Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB  
Mastaller, Christa
Rappold, Gerhard
Schlolaut, Gordon
Wunsch, Andreas  orcid-logo
Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB  
Ziebarth, Mathias  
Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB  
Journal
Engineering proceedings  
Conference
International Joint Conference on Water Distribution Systems Analysis & Computing and Control for the Water Industry 2024  
Open Access
File(s)
Download (444.97 KB)
Rights
CC BY 4.0: Creative Commons Attribution
DOI
10.3390/engproc2024069094
10.24406/h-477902
Language
English
Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB  
Keyword(s)
  • pump scheduling

  • bi-level optimization

  • hydrology

  • demand forecast

  • neural networks

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