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How a digital twin has enhanced daily operations in Global Omnium's drinking water network

Water transport and distribution systems in many cities have become complex to manage as a result of population growth, resource shortages, aging infrastructure and the need to optimize daily network operations. Consequently, digital twins of water networks are becoming increasingly common to support operational and management decision-making. 

These tools must be capable of faithfully reproducing reality and any system operation context, whether in the present (real time), the past, or the near future (next 24 hours), for both real and fictional scenarios. 

Global Omnium’s digital twin is a benchmark in the water industry. The Spanish utility has been using it to enhance daily operations management in the main water distribution network for the city of Valencia and its metropolitan area since 2009. 

This digital twin, which uses Xylem Vue’s Real-Time What-if Scenarios application, digitally replicates a system serving a population of 1.7 million residents which includes two treatment plants, 28 storage tanks, 47 pumps, 219 operating valves, and over 20,000 readings taken every day. 

Learn how Global Omnium optimizes its daily operations, assesses operating scenarios in real time, plans future supply development and predicts future network behavior thanks to this technology. 

Read the case study to gain insights into:

  • How this digital twin provides a complete, real-time overview of the network and supports decision-making for daily operations and planning tasks. 
  • How an extremely reliable hydraulic model, with error rates below 2% for pressure and 4% for flow, helps simulate the system’s response to any set of operating conditions.  
  • The amount of data integrated, stored and screened, and the informative and actionable dashboards available 24/7. 
  • The benefits and results achieved by the utility, which include a reduction of over 30% in non-revenue water, a 20% decrease in maintenance OPEX, and 15% energy savings in water treatment processes.