Decision Support Systems for Water Supply Systems

Smart Water System to improve the operation of water supply systems by using applied mathematics
European Mathematical Society Publishing House
  • 1. Auflage
  • |
  • erscheint ca. im Mai 2020
  • Buch
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  • Hardcover
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  • 243 Seiten
978-3-03719-207-8 (ISBN)
The book summarizes the results of the BMBF funded joint research project EWave (reference
02WER1323F) that was initiated to develop an innovative Decision Support Systems (DSS) for water supply companies. The book is written for automation experts in water supply companies as well as mathematicians who work for infrastructure companies.
Operating water supply systems is complex. It has to be ensured that consumers are reliably supplied with a sufficient quantity and quality of water as well as a sufficient water pressure at all times. In addition to a reliable water supply, consumers demand for reasonable prices. For decision making and operational support, the EWave system uses newly developed integrated optimization modules. As a result, the user receives operating schedules on a 15 minute scale.
For this purpose, mixed-integer linear and nonlinear mathematical optimization methods are combined. First, a mixed-integer optimization model is solved in order to derive all discrete decisions (primarily pump schedules). The idea here is to approximate the physics by piecewise linear relaxations well enough to come up with the right/optimal decisions. EWave then uses nonlinear optimization and simulation methods to get the physics straight. The process is iterated if necessary. This approach enables globally optimal solutions within an a-priori given quality tolerance.
Optimization results obtained in real time yield a potential of energy savings of up to 4-6% daily for the waterworks in the pilot area.
  • Englisch
  • Zurich
  • |
  • Deutschland
  • Für Beruf und Forschung
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  • Automation experts in water supply companies, mathematicians working in infrastructure industry
  • Höhe: 24 cm
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  • Breite: 17 cm
978-3-03719-207-8 (9783037192078)

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