As a responsible energy provider, we are committed to supporting the UK’s net zero goals. This requires a deep understanding of future energy requirements of the UK and the ability to adapt our infrastructure to meet evolving customer needs.
However, traditional energy modelling often relies on generalised assumptions and lacks the granularity to assess the viability of different pathways at a local level
To address this challenge, we developed the Future Energy Explorer (FEE), a powerful, consumer-focused forecasting model. FEE utilises granular data, including property types, energy efficiency ratings, consumer affluence, and local infrastructure, to create detailed, localised scenarios for every consumer within our network.
Unlike previous models that focused on broad regional trends, FEE analyses viability at the individual property level, considering the unique characteristics of each household and its surrounding environment. This allows for a more nuanced understanding of the costs and benefits of transitioning to different fuel types, such as hydrogen or electricity.
By integrating data from various sources, including Google Cloud and Looker, FEE harnesses the power of big data to generate credible and unbiased outputs. This enables us to build compelling, consumer-centric narratives around net zero transitions.
FEE represents a significant advancement in energy scenario modelling and we will use this to provide data to RESPs to support their regional planning and the NESO to inform national holistic transition plans.
Source: Cadent Business Plan, page 49
