The green transition will require significant investment in utility infrastructure. Many countries have restrictive income caps or fixed tariffs that do not allow for investment to support the electrification of transport, heating and agricultural processes. Incentive-based revenue caps are the answer, and will likely be adopted in many countries over the next decade.
Utiligize has published an open-source R package, now available on Github, and soon on CRAN, that allows regulators, data scientists and researchers to quickly implement revenue models based on future needs.
We are also pleased to reveal the website www.CNAIM.io, which will support and document this package.
This open source package complements Utiligize’s commercial asset management package, Asset Life. Here is an overview of the functionality in CNAIM for R and Asset Life:
|CNAIM for R||Asset Life|
|Probability of failure calculations||✔️||✔️|
|Consequences of failure calculations||✔️||✔️|
|Monetary risk calculations||✔️||✔️|
|Fault statistics parameter estimation||✔️||✔️|
|Monte Carlo simulations of reliability||❌||✔️|
|Integration with GIS databases||❌||✔️|
|Optimal investment and maintenance plans||❌||✔️|
|Optimization with respect to existing revenue caps||❌||✔️|
|Duty and load factor from intelligent future scenarios||❌||✔️|