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Novel Unified Viewer for NGT Network Performance Twin

  • Status: Live
  • Reference: NIA_NGT0284
  • Start Date: 01 September 2025
  • End Date: 01 March 2026
  • Budget: £435,638
  • Funding Mechanism: Network Innovation Allowance
  • Strategy Theme: Data and digitalisation
  • Collaborating Networks: National Gas Transmission PLC
  • Project Partners: DNV are the independent expert in assurance and risk management. Driven by their purpose, to safeguard life, property and the environment, they empower their customers and their stakeholders with facts and reliable insights so that critical decisions can be made with confidence. They are also a world-leading provider of digital solutions for managing risk and improving safety and asset performance for ships, pipelines, processing plants, offshore structures, electric grids, smart cities and more. Their open industry assurance platform Veracity, cyber security and software solutions support business-critical activities across many industries, including maritime, energy and healthcare. The Centre for Modelling and Simulation, Bristol. CFMS is an independent digital engineering research organisation, providing design & analysis services, consultancy and IT infrastructure to help organisations create better solutions to pioneer new product development. With a full portfolio of digital capabilities, CFMS brings greater insight into how a system will perform throughout its lifecycle, resulting in more efficient development and more effective solutions. CFMS collaborates across industry, academia and research organisations, including research projects funded through Aerospace Technology Institute (ATI), Advanced Propulsion Centre (APC), i3P, FlyZero and more. Both suppliers have supported with previous phased of CVDT, CFMS host the CVDT viewer in their estate and DNV own the Veracity database which also sits in their estate, this was used to populate Futuregrid data in CVDT Phase 1. Sensat is an infrastructure software that visualises project files in the context of the real world. It helps teams to spot constraints and find the preferred option from their desktop. Sensat’s visualisation software plays a crucial part in facilitating change by simplifying complex information making it easier for teams to spot constraints early. Today Sensat is supporting over $200 bn of the largest civil infrastructure projects in Europe working with teams from Severn Trent, National Grid and Network Rail. As part of the option analysis in this project this commercial viewer platform will be trialled and a comparative analysis will be conducted.

Abstract

As part of the National Gas Network Performance Twin program, this project is designed to demonstrate a scalable digital twin platform focused on improving infrastructure resilience, supporting hydrogen integration, and addressing climate adaptation across the National Transmission System (NTS). This initiative integrates three strategic components: Collaborative Visual Data Twin (CVDT) – a 3D BIM-based digital twin platform that visualises and monitors asset performance in real time. HyNTS Dataset Automation – a structured, automated geodatabase that supports hydrogen readiness assessments and asset integrity modelling. Flood Twin – a predictive flood simulation model that enables scenario-based risk analysis and resilience planning for Above Ground Installations (AGIs).

The new learning that is foreseen to be developed from this project but not limited to is:

  • The optimum platform for enabling our NTS data to be more easily viewed and understood
  • The potential for further developments of our BIM and 3D modelling activities
  • The method for data quality and security when managing NTS historic and live data in parallel
  • Development of opportunities in predictive maintenance and predicative asset management for scenario and business planning
  • The method for using digital technologies to improve our understanding of hydrogens impact on our assets
  • The design of a combined virtual and data system that enables advanced analytics and improved understanding of the NTS current state and potential state
  • Proposed methodologies for implementation of digital twins across the NTS assets
  • Dissemination of learning
file format pdf download NIA_NGT0284_Novel_unified_viewer_for_NGT_network_performance_twin.pdf
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2025-09-01
2025-10-30
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