oNet PRV Advanced Pressure Management


Like utilities around the world, SADA faces a multitude of challenges in providing a consistent and uninterrupted water supply to more than 2 million people in Kedah, Malaysia. Water scarcity and extreme weather events are two contributing factors that have hit many water companies in South Asia in 2019, including Kedah. With just enough supply of water, a key strategy in the next 2 years is to manage and reduce the high NRW percentage. To achieve this, SADA has chosen i2O’s market-leading optimisation equipment and software to transform its infrastructure into a smart network.

Project overview

SADA aims to reduce non-revenue water by 20% within 2 years, and to increase the operational efficiency and productivity of the organisation through the adoption of smart water technologies.

To enable this, SADA wanted to:

• Gain visibility of the entire network, including measurements on the pipe network, at the PRV, and at the reservoirs
• Remotely set pressure control preferences to stabilise pressure across the network
• Eliminate excessive pressure, and background leakage
• Increase collaboration between departments and area managers by sharing information

Each installation took around 3 hours to complete, including the installation of a remote pressure sensor at the critical point within the DMA. The pressure at the PRV is controlled automatically and dynamically to deliver consistent service levels. In addition, settings for the field devices are held in a central server and downloaded onto individual devices automatically upon their first connection over the GSM network, meaning no more site visits are required. Information that was previously only accessible to the office based team is now remotely available to SADA’s team both in offices, and in the field. This has increased operational efficiency when responding to incidents on the network.

WhatsApp Image 2019-11-19 at 11.18.57


Total Daily Flow reduced by an average of 21.8% (over 5,000m3/day) across 5 locations
ROI achieved in just 2.2 months

Download this case study

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