NPg has hundreds of thousands of energy assets – switchgear, transformers, cables, poles, conductors, fittings and others. To extend the life of the asset, maintain the overall fault rate and eliminate unsafe assets, they employ a condition and risk-based intervention strategy. This includes a well-established programme of work, based on a set budget, to replace or refurbish assets, which prevents them from failing and maintains performance. However, the assets deteriorate at different rates, over time, resulting in different failure modes. So, in order to assist the end-to-end planning process NPg has, over the last decade, developed a suite of condition-based risk models. For example, by examining individual asset and component level, NPg’s existing approach was to use a ‘health’ threshold above which the assets (or their sub components) are selected for intervention.
In reality, as these suite of decision support tools evolved over a number of years, the decision modelling was often applied inconsistently across asset categories and was performed on complex, slow-running Excel files, which were difficult to maintain and manipulate.