Manually identifying leaks is inefficient
Initially, Novafos – one of the largest utilities in Denmark – needed a new, intelligent metering solution that could help them measure water consumption across a range of municipalities north of Copenhagen. They were reading meters and generating consumption reports manually which was very time-consuming. This made it difficult to use consumption data for optimisation purposes, putting a huge strain on resources. To overcome this, they needed to optimise their operations and customer service with meters that could be remotely read. Kamstrup won the subsequent tender and Novafos invested in 80,000+ flowIQ® 2200 smart water meters and began to roll them out across their network.
To comply with Danish regulations and avoid heavy fines, Novafos must ensure that water loss across their supply area remains below 10%, but, as their original method for leak detection was based primarily on night-time flow data for their various districts, the Danish utility still had to manually check large areas if they saw an increase in water loss or if a leak was suspected. This was an ineffective method for meeting Danish water loss regulations. They needed a solution that could help them optimise the leak detection process.