We design a KANEW 3S model for you.

Inventory, failure and condition data can be imported or updated via various interfaces.

KANEW 3S examines the data consistency on the basis of predefined and/or self-defined rules. Various correction options are available to supplement missing or incorrect data.

Based on the comprehensive database of a KANEW 3S model, data sets for more detailed analyses and simulations can be built.

Individual asset classes can be considered separately or combined with each other.

Based on damage, failure and/or condition data, an analysis of the aging behavior can be conducted.

In addition to the customer’s own data, industry standard values and 3S’s own experience over many years are used.

Especially in the wastewater sector, Markov condition models based on inspected and classified sewer pipes can be constructed.

As a result, the future development of failure rates or condition as well as the required future rehabilitation needs can be determined.

Based on the aging behavior, service life expectancies can be derived.

Calculation of long-term effects of maintenance and rehabilitation activities

An asset strategy is typically generated and simulated for a time period of up to 30 years (or even longer). Basic scenarios can be “do nothing”, “status quo” or “as needed”. Individual scenarios can be designed budget-oriented, resource-oriented and target-level-controlled (for example, specification of a maximum failure rate).

Annual renewal volumes can be specified for individual asset groups. Furthermore, the type of rehabilitation (e.g., which type of maintenance or which new material) can be specified. On the one hand, this has an impact on the expected service life and, on the other hand, on capital expenditure and operating costs.

New construction or dismantling measures can also be taken into account.

Different scenarios can be compared to come up with the best one.

As a result of an asset simulation a wide range of KPIs are calculated for the whole network, asset groups and/or sub-areas.
KPIs can be (selection):

• Annual replacement length
• Age
• Remaining service life
• Asset values
• Downtimes
• CAPEX
• OPEX
• Book values
• Depreciation

Assessment of assets by condition, importance, reliability and overall risk

Each asset is evaluated based on selected condition and importance criteria, such as frequency of disturbance, age, remaining useful life, importance or supply reliability. The criteria can be freely defined and weighted among each other.

Prioritization is based on an RCM diagram (RCM – Reliability Centered Maintenance), in which the status and importance of the assets are displayed.

Combination of single assets into replacement projects

Action lists can be created by manual selection or automated grouping.

Already known works – e.g. road reconstructions can be taken into account in advance.

Actions can be linked to a strategy. According to overall goals rehabilitation years can be assigned to specific actions then.

Today’s aging networks, which have grown up over many years, have to meet future challenges caused, for example, by changes in consumption behavior, changes in feed-in conditions, demographic changes or climate change.

Maintenance costs tend to increase due to the increased age of the network, while at the same time there is a need to save costs and customers continue to have high expectations with regard to supply reliability.

Within the framework of brown-field planning, existing network structures (lines and facilities) can be optimized in terms of hydraulics and reliability. Starting from the actual network, the nominal diameters are optimized for the network or selected network sections, taking into account operational – hydraulics, energy – and financial – (energy) cost – aspects. At the same time, the network structure is analyzed from a hydraulic and operational point of view and adapted if necessary. An important criterion in this planning task is the evaluation of the importance of network sections and the security of supply for customers.

Since a target network cannot be implemented immediately and all at once, the possible transition is simulated step by step in order to determine the best option from an operational and economic point of view.