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Using Complex Network Analysis for Optimization of Water Distribution Networks
Robert Sitzenfrei1, Qi Wang2, Zoran Kapelan3,4
1Unit of Environmental Engineering University of Innsbruck Innsbruck Austria.
Water Resources Research
|October 1, 2020
Summary
Complex network analysis (CNA) offers a new approach to optimize water distribution systems (WDSs). This method efficiently designs resilient and cost-effective water networks, outperforming traditional methods for large-scale systems.
Area of Science:
- Hydraulic Engineering
- Network Science
- Operations Research
Background:
- Optimizing water networks balances cost, resilience, and leakage.
- Water distribution system (WDS) design is a significant challenge.
- Complex network analysis (CNA) has been applied to WDSs, but not specifically to optimal designs.
Purpose of the Study:
- To apply CNA to Pareto-optimal solutions for WDS design.
- To identify key graph characteristics of optimal water networks.
- To develop a novel CNA-based design approach for WDSs.
Main Methods:
- Systematic Complex Network Analysis (CNA) of Pareto-optimal WDS solutions.
- Identification and analysis of graph characteristics in optimal networks.
- Development and application of a new CNA design methodology for WDSs.
Main Results:
- Identified critical graph characteristics for optimal water network design.
- Developed a novel CNA approach for WDS design.
- Achieved comparable network designs to evolutionary optimization.
- Demonstrated significant computational efficiency for large networks (up to 150,000 pipes), reducing runtime by up to 5 orders of magnitude.
Conclusions:
- CNA provides an efficient and effective method for optimal WDS design.
- The proposed CNA approach is scalable to very large water networks.
- This method offers substantial computational advantages over existing optimization techniques.
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