Funding schemes for waste management and decommissioning are national specific

Uncertainty analysis based on Monte Carlo To achieve the highest level of public acceptance in decommissioning of nuclear plants one key element must be properly defined: the funding scheme.

However, a way how the decommissioning funds are collected and used depends on national experience and customs, the funds should be collected before the decommissioning project starts.

There are ongoing discussions on how the funding schemes should be configured. According to [1] there are three main areas to discuss:

  • basic principles of funding schemes and identifying sources of risk and risk mitigation approaches;
  • cost estimation, including for waste emerging from the spent fuel and for decommissioning of nuclear facilities
  • and (3) dealing with risks and uncertainties in the spent fuel and radioactive waste management.
Uncertainty analysis based on Monte Carlo
Uncertainty analysis based on Monte Carlo

Every decommissioning cost estimation is a aggregation of costs for lowest level activities in the cost estimation structure. The cost estimation structure is a tree based structure built-up from activities in the decommissioning project. When estimating costs it also necessary to create a project plan where starting dates of each activity is configured. The reason is simple - the later the activity starts, the lower dose uptake and waste radioactivity have to be treated, which can have significant impact on cost estimation.

Project schedule gantt chart to configure starting dates of all decommissioning activities
Project schedule gantt chart to configure starting dates of all decommissioning activities

Using AquilaCosting you could achieve very accurate cost estimations because AquilaCosting allows you to configure very detailed inventory database, simulate real waste management and treatment flow and setup project schedule for each cost activity.



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AquilaCosting features

  • Tree-view based inventory database
  • ISDC compatible calculation structure
  • Configurable waste management scenarios
  • Legacy waste database
  • Easy benchmarking and sensitivity analysis
  • Intuitive multi-user interface
  • Secure client/server architecture
  • Ready for large cost estimates (e.g. for NPPs)
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