RTN modelling- Bio Methane
Abstract
The UK gas networks are undergoing a major transition to support the integration of green gases, including biomethane and hydrogen. A significant challenge is the inability of the current design modelling. Cadent’s current modelling relies on outdated assumptions and lacks the granular, real-time demand insight needed for modern, decarbonising gas networks. Existing tools cannot capture intra-day demand variability, below-7-bar network complexity, or the growing impact of biomethane injections—creating risks in planning, operational decisions, and reinforcement strategy.
RTN addresses these challenges by delivering accurate, weather-adjusted, consumer-level demand modelling and integrated analysis across pressure tiers. This enhances forecasting, improves biomethane integration, and strengthens model validation and operational control. In the future state, RTN provides Cadent with a modern, data-rich, and automated modelling capability that reduces unnecessary reinforcement, improves customer outcomes, supports the energy transition, and lays the foundation for potential future use in peak-demand modelling and regulatory engagement.
This programme is leveraging the data and learning from historic projects to develop a range of novel network modelling tools that will enable bio gas designs to be informed, consumer focused and optimised for localised conditions and demands.
