SI-Cluster, taking the local unknown factor in to account

Brabant Water is a Dutch drinking water utility company providing drinking water to 2.5 million inhabitants and 50,000 companies. The company has more than 18,000 kilometer of mains in order to transport 180 million m3 of water per year. In order to meet performance requirements of the network, the company has the ambition to prevent a rise of the current number of failures in the aging network. Brabant Water has asked Spatial Insight to help identify water mains with the highest likelihood of failure based on asset and failure data.

Client: Brabant Water
Country: the Netherlands
Period: 2020

Approach and solution
In Spatial Insight’s experience, mains with similar characteristics that were installed in a single project, will show comparable performance when aging. This knowledge is used to group mains and predict their chance of failure. The grouping of these main-sections is called clustering and is performed in a cluster analysis.

Spatial Insight previously developed the cluster analysis method and now, in close cooperation with Brabant water, further improved and refined it. Cluster analysis relates pipes in each other’s immediate proximity and with comparable characteristics such as pipe material and installation year. These clusters allow analyzing historic failure behavior of larger sections and thus selecting water mains that have the highest chance of failure. The effect of leakages was not taken into consideration in this study. Although certainly possible, this was not requested.

Screenshot of BestNet. The shown results are based upon dummy data.

The method comprised of three iterations:
After the third step, the clusters that are most effective to replace with the least effort have been identified. By replacing approximately 250 km of mains (1,4% of the total length of Brabant Water’s main network), 20% of the leakages of 2019 can be prevented. Two extra cluster sets with lower priority were generated.

Contribution to the organisation’s strategy

Brabant Water’s top priority is to ensure that its customers can count on fresh and reliable drinking water every day. The network plays a vital role, it distributes water to the customer. This function is threatened by the aging of the network. Aging results in higher non-revenue-water, burst rates, customer-minutes-lost, and customer contacts. These threats can be mitigated by addressing them from an asset management point of view: replace the right mains at the right time, with maximum effect, against minimal costs.

Customer review

Roel Diemel, senior advisor assetmanagement at Brabant water: “The cluster analysis’ predictive value of Spatial Insight, contributes to the selection method of Brabant Water for the annual renewal program of pipes”.

CONTACT

Marc Felten
Data engineer - Portfolio manager

+31 6 4677 3653

"SI-Cluster is a powerful part of our risk model software SI-Rehab. Let me show you the value on your own data"

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