Optimization of a Water Distribution System

Operational Challenges

Water Shortages

Frequent extreme raw water shortages demand maximum delivery efficiency and physical loss reduction.

Costly Treatment

Specific treatment procedures are expensive, making lost non-revenue water a heavy financial burden.

Pumping Energy

Water transport requires huge amounts of electricity, exposing utilities to volatile energy prices.

Smart Modeling &
Loss Identification

An EPANET model displaying the connected pipes and nodes of a water distribution network.

To optimize a water distribution system (WDS), exact parameter knowledge is essential. Physical attributes are directly imported from GIS into EPANET model.

  1. Database:

    Uses historical pressure & flow measurements from District Metered Area (DMA) zone inlets.

  2. Water Balance:

    Correlates DMA inflows with billed demand to identify physical leakage coefficients.

  3. Advanced Analysis:

    Solves complex grey-box mathematical models while honoring strict pressure limits.

Core Optimization Outcomes

Leakage Loss Reduction

Minimizes physical water loss by optimizing valve and pump operations throughout the distribution network

Energy Optimization

Lowers pump electricity costs during peak tariff hours, shifting load intelligently.

Guaranteed Service Pressure

Ensures required delivery pressure at every consumer node, maintaining strict compliance standards.

Comparative Performance Summary

Comparative Performance Summary
Case Study NetworkNetwork ComplexityClassical Daily CostOptimized Daily CostTotal Cost Savings
Illustrative Test System15 delivery points, 2 pumps, 1 tank€ 338.38€ 239.15- 29.33%
Badajoz, Spain (population: 165,000)25,266 nodes, 19 tanks, 20 pumps€ 12,284.00€ 8,549.00- 30.41%
Croatian city (population: 30,000)1,398 nodes, 12 tanks, 26 pumps€ 2,983.00€ 1,482.00- 50.32%

Badajoz, Spain (population: 165,000)

30.4%

Total Daily Savings

WDS with 16,624 delivery points and 30,000 m³ daily consumption. Solved 3,379 decision variables in 10 minutes.

Pumping Cost (Daily)
Pumping Cost (Daily)Classical OperationOptimized Operation
Pumping Cost (Daily)€ 3,408€ 1,693
Water Loss Cost (Daily)€ 8,876€ 6,856

Croatian city (population: 30,000)

50.3%

Total Daily Savings

Cut daily operating expenses in half with 4,044 variables optimized in 2 min.

Pumping Cost (Daily)
Pumping Cost (Daily)Classical OperationOptimized Operation
Pumping Cost (Daily)€ 1,844€ 454
Water Loss Cost (Daily)€ 1,139€ 1,028

Advanced Reliability & Safety

Moving Horizon Control (MPC)

Shifts from a rigid 24h plan to a continuous sliding window, reacting dynamically to pipe bursts or sudden demand spikes.

Fallback Safety Layer

Standard protective hysteresis rules stay active in background to prevent unsafe operations during hardware downtime.

Soft-Sensing Technology

Estimates missing telemetry (e.g. broken tank level sensors) automatically using neighboring network sensor nodes.

Contact

Email
info@optimaquae.com
Address
Ilica 71, 10000 Zagreb