Water Distribution

Oral

396218 - A Multi-Step Simulation-Optimization Approach to Design District Metering Areas for Water Distribution Networks

Wednesday, June 6
2:00 PM - 3:30 PM
Location: Lakeshore C

Many water distribution systems in the US are designed as single large monolithic systems or divided into a few pressure zones making it difficult to manage pressure, leakage and water quality. Dividing a water distribution system into smaller sub networks can improve the efficiency and ease of achieving management goals. Sub networks, or District Metering Areas (DMAs), are isolated control zones with a defined number of entrances and exits. This research presents an automatic approach based on graph theory, engineering optimization, and heuristic methodologies to design DMAs for existing water distribution systems by minimizing the coefficient of variation of demand similarity (CVDS) among DMAs. Constraints are specified to limit the number of entrances per DMA, meet maximum and minimum pressure at non-zero demand nodes, and maintain water levels of the tanks over two extended periods of simulation, which represent dry and wet periods. Results demonstrate that once an optimal DMA configuration is reached, maximum and minimum pressures, water age and level of tanks can be controlled from the DMA entrance nodes to improve management of the hydraulic performance of the network.

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Kumar Mahinthakumar

Professor
North Carolina University

Dr. Mahinthakumar is a professor in the Department of Civil, Construction, and Environmental Engineering at North Carolina State University. He obtained his PhD in Civil Engineering from University of Illinois at Urbana Champaign in 1995 with a focus on hydrosystems. His research interests are in large scale modeling of subsurface flow and transport, parallel and distributed computing, optimization and inverse problems, water distribution system analysis

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396218 - A Multi-Step Simulation-Optimization Approach to Design District Metering Areas for Water Distribution Networks



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