DATA-DRIVEN ASSET MANAGEMENT WITH REHAB-IT FOR NOVAFOS

Since 2019, EnviDan has been working on the implementation of Rehab-IT so that it can be used to produce an informed decision-base for investments in both water and wastewater at Novafos. In the wastewater sector, the focus has primarily been on supporting the work of identifying risk pipelines for TV inspection and/or remediation, so that the municipal authorities responsible for the 9 owner municipalities have a TV and renovation plan for the next 20-30 years, based on risk-based planning.

EnviDan has assisted with the project maturation of the informed-decision basis from Rehab-IT on investment in TV inspections and renovations. On this foundation, the decision-making basis has been evaluated and the municipal authorities have obtained concrete plans for TV inspection and renovation.

In parallel, and with a particular focus in 2021, work is underway to implement data-driven asset management. The objective is that, by the end of 2021, Novafos has an AM strategy that is translated into long-term (+10 years) AM plan(s) for investments in the operation and maintenance of the supply drainage system. These AM plan(s) can be executed and monitored in the following years.

Rehab-IT is used to prioritise activities in relation to the objectives, and to continuously monitor the impact of the actions on the objectives. An example of a preliminary description of service targets with associated KPIs and measurement methodology from Novafos' AM work in the area of wastewater is shown in the table at the bottom of the page.

A total of 9 Rehab-IT models have been built, one for each owner municipality. All models are established with both main and branch lines.

 

The models incorporate information on wastewater treatment plant and catchment areas, customer enquiries from EnviDrift (split between enquiries on physical condition, hydraulic condition, emergency events and planned operations), results from Mike Urban, planned projects, key financial figures, data on outflows and overflows, and information on unwanted water.

An essential part of the work has been to develop automation of the hitherto manual workflows involved in interpreting TV inspections and deciding on renovation projects. Thus, automatic interpretation of TV inspections into a Novafos index has been developed, which represents the probability of dysfunction of a line for physical reasons. Using machine learning and advanced statistics on historical TV inspections, a methodology has been developed to produce individual ageing curves. This provides the best possible estimate of the likelihood of individual line dysfunction - today and in years to come. In combination with an individual determination of the consequence of dysfunction, a risk-based prioritisation at management level is achieved, based on the situation today, but also on what the risk picture will be in 5, 10 and 30 years, etc.

Using Rehab-IT, the impact on service targets, operational finances, etc., is incorporated into the planning of investments in renewal, renovation and operation in a long-term plan (+10 years). In this way, the data-driven asset management of Novafos is achieved.Ved hjælp af Rehab-IT inddrages konsekvenserne for servicemål, driftsøkonomi osv. i planlægning af investeringerne i fornyelse, sanering og drift i en langsigtet plan (+10 år). På den måde opnås den datadrevne asset management i Novafos.

WATCH A VIDEO ABOUT ENVIDAN'S WORK WITH REHAB-IT

(in danish)

Mads  Uggerby

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Mads Uggerby

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