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Real-Time Control Optimization of Water Distribution System with Storage

Research output: Book/ReportDoctoral thesisMonograph

Details

Original languageEnglish
Place of PublicationTallinn, Estonia
PublisherTTÜ Press
Number of pages190
ISBN (Electronic)9789949831661
ISBN (Print)9789949831654
Publication statusPublished - 24 Nov 2017
Externally publishedYes
Publication typeG4 Doctoral dissertation (monograph)

Abstract

A novel general framework for performing whole-cost optimization of water production and distribution in real-time was developed in this dissertation. Optimization enables significant savings in energy and chemical costs.

Optimization resulted in near optimal settings for all pump, valve and source stations, and optimal frequencies for all pumps in the water supply system as a function of time for the next 24 hours in near real-time.

This dissertation developed a novel way to formulate the design variables of the optimization problem in order to minimize the size of the search space, a novel way to preoptimize operation of pump batteries, a novel way to model pressure or flow controlled variable-speed driven pumping and a novel method to model complex control strategies in the hydraulic simulator.

The optimization algorithm used is a modified version of greedy, meta-heuristic, single-solution Hybrid Discrete Dynamically Dimensioned Search (HD-DDS), that has not been applied in operational optimization of water supply systems before.

According to the author's review of previous studies, this research is the first where real-time operative optimization of a large-scale water supply system (WSS) is performed using a non-simplified and non-surrogate model covering all pipes in the system, and where the raw water production, conveyance and treatment are also included in the model and optimization.

In the case study (Tampere Water) the proposed optimization framework resulted in 20 % savings in the production and distribution costs, while ensuring better quality of service than before. Real-time aspect is ensured by the optimization run taking about two hours of computation time.

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