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Bentley > Case Studies > Oporto Water Utility Develops Technology Platform for Integrated Management of Urban Water Cycle
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Oporto Water Utility Develops Technology Platform for Integrated Management of Urban Water Cycle

Technology Category
  • Analytics & Modeling - Data Mining
  • Sensors - Utility Meters
Applicable Industries
  • Cities & Municipalities
  • Mining
Applicable Functions
  • Maintenance
  • Quality Assurance
Use Cases
  • Intelligent Urban Water Supply Management
  • Water Utility Management
Services
  • System Integration
  • Testing & Certification
The Challenge
Águas do Porto (AdP), the water utility responsible for the integrated management of the entire urban water cycle of the city of Oporto, Portugal, faced challenges due to the density and complexity of the hydraulic infrastructure and water resources. The need for integrated management of the urban water cycle was paramount, but integrating the vast number of existing systems throughout the company was a significant challenge. The data gathered simultaneously from a wide range of systems and sources, spread over dozens of individual software systems, needed to be integrated into a single platform. The main challenge in the implementation of the system was the city water cycle scale, which required detailed resolution for many models and domains, including meteorology, water supply, sewer, and storm drainage. The city water scale also required the ability to consume large amounts of data from real-time sensors and consumers’ telemetry and billing.
About The Customer
Águas do Porto (AdP) is responsible for the sustainable and integrated management of the entire urban water cycle of the city of Oporto, Portugal, including water supply, wastewater drainage and treatment, stormwater drainage, surface waters, and coastal bathing water quality. AdP is one of the largest Portuguese companies in the sector with over 150,000 clients serving around 500,000 people. AdP delivers an average of 45,490 cubic meters of water to the population daily and collects approximately the same amount for treatment. The overarching goal of the Oporto water utility was to achieve the holistic management of the water cycle in a smart city context.
The Solution
To address these challenges, AdP developed the “Technology Platform for the Integrated Water Management of the Urban Water Cycle – H2Porto.” The goal of H2Porto was to promote a culture of innovation and Smart Water Management for the efficient usage of existing resources. H2Porto integrates territorial information via geographic information systems (GIS), video surveillance of infrastructures, numerical modeling, remote data acquisition, and public reporting. The implementation of H2Porto was acquired by AdP through an international public tender, won by the consortium of Aqualogus, Bentley Systems, and A20. Bentley was responsible for the implementation of the modeling and predictive capabilities of the project. Bentley software produced a digital twin model of the city’s water supply, wastewater, stormwater, and bathing water systems, to forecast flooding and water quality issues, thereby improving city response and resilience.
Operational Impact
  • The implementation of H2Porto has resulted in a significant improvement in the management of the urban water cycle in Oporto. The system has enabled the integration of data from a wide range of systems and sources into a single platform, thereby enhancing operational efficiency. The use of Bentley software to produce a digital twin model of the city’s water supply, wastewater, stormwater, and bathing water systems has helped to forecast flooding and water quality issues, thereby improving city response and resilience. The system has also facilitated the transition from reactive management to proactive management, thereby enhancing the overall efficiency of the water utility.
Quantitative Benefit
  • Access to tablets with all the information in real time allows operating gains of 25 percent.
  • The occurrence of water supply failures dropped by around 30 percent.
  • The increased reliability and stability of information produced based on sensor readings improved decision making and increased the stability and reliability of the data to values close to 99 percent.

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