Future Energy Networks

Gas networks supply embedded power stations that support the electricity network. These embedded generators can fire up without any warning to GDNs and is causing significant challenges to gas networks.

GDNs are required to submit hourly gas demand nominations to National Gas for each offtake point within specified time deadlines.

Embedded generators are small. They are not included in the UNC’s requirements to notify their GDN of intended offtake activity due to their size being below the threshold for NExAs (network exit agreements). Despite this, GDNs must include the demand from these embedded generators in their nominations to ensure there is sufficient gas within their network. This causes numerous challenges for SGN and other GDNs.

GDNs’ current forecasting process does not specifically forecast embedded gas generation, and current models do not take inputs from the electricity market. Embedded generators act in a variety of electricity markets, yet GDNs don’t have visibility of this demand.

It is anticipated that additional embedded generators will connect in the coming months/years as the demand for electricity increases.The challenge of not having knowledge of embedded generator’s demand and its potential to contribute to a storage shortage has been acknowledged by both EGRIT (Electricity and Gas Resilience Task Group) and NESO (National Energy System Operator). The benefits of creating a notification platform supported by a ML engine are various. Namely to develop an ML-enabled forecasting tool to predict gas demand from embedded generators with increased accuracy as delivery time approaches. In addition to create a notification platform to improve real-time visibility of embedded generator activities within the electricity and gas networks.

This NIA project aims to progress the FEmGE forecasting tool from TRL 1 to TRL 7, delivering a fully functional MVP. NGN will be funding this project to the value of £92,333 and SGN to £184,666 of the total of £276,999.

The project will develop an integrated hierarchical network modelling framework for simulating the operation of future GB energy system scenarios with highly interconnected gas and power networks. The realistic modelling of power-to-gas and storage operators’ behaviour will be emphasised. The integrated models will be demonstrated on a simulation platform as real-time digital twins for future system scenarios.

Considerable novelty will lie in the combination of modelling scale and granularity; representation of many autonomous decentralised agents making sub-optimal decisions; and the optimal resolution of dilemmas arising from the finite energy budgets constraining primarily weather-driven low to zero carbon scenarios.

To reach our national net zero targets by 2050, we need to decarbonise approximately 25 million homes in England. Domestic heating accounts for approximately 14% of the UKs entire emissions and significant investment is required to improve the energy efficiency of our housing stock. In addition, there are major challenges associated with domestic decarbonisation:

• England has the most diverse housing stock in the UK. with 35% built before the end of WWII.
• Sixty-four percent are owner-occupied, and these homeowners need to have a good, cost effective and efficient experience of home and heating upgrade as we move towards zero carbon homes.
• Implementing heating upgrades to this ageing housing stock requires a ‘whole house’ approach therefore, consideration must be given to the building fabric and heating system.

Retrofitting existing homes with electric heating systems or deployment of green hydrogen boilers offer potential solutions however, the intricacies of deployment and installation are complex, further research and development is required to learn more about installation, performance of various heating options. Doing so will inform future domestic decarbonisation strategies.

The Gas Network Evolution Simulator (GNES) is an innovative project aimed at optimising the transition away from natural gas by using advanced Agent Based Modelling (ABM). GNES simulates the complex interactions between stakeholders such as Gas Distribution Networks (GDNs), Electricity Networks, consumers, and policymakers. It analyses economic, social, and environmental impacts of gas network decommissioning and explores new infrastructure opportunities. By identifying challenges and benefits, GNES supports the development of cost-effective, equitable solutions that support vulnerable populations, ensuring a smooth transition to low-carbon energy sources while minimising consumer disruption and maximising network efficiency.

As the energy system transitions away from unabated natural gas and parts of the gas network are either decommissioned or repurposed to support the UK’s net zero goals, there is an increased risk of unintentional third-party damage to the network. Any supply interruptions to the transmission network would directly impact security of supply across the country and have a significant cost to customers including power generators, industry and domestic users. This project will investigate the benefits of moving from expensive, low frequency, manual network inspections to innovative AI assisted surveillance technologies in combination with satellite imagery and drones.

This project will focus on barholing operations conducted after an emergency gas escape within the H100 Fife Distribution Network Operations. The scope will consider H100 scenarios, specifically the establishment of a new distribution network to deliver Hydrogen to selected properties in the conversion area. The minimum pressure for the H100 Fife Distribution network is 27 mbar, and the maximum pressure is 75 mbar. The aim of this project is to provide further evidence to support SGN operations on the H100 distribution network during emergencies and any future trials or broader rollouts of Hydrogen.

Steer Energy has been identified as a suitable contractor for executing this project due to their extensive expertise in this field and their previous work on the Barhole Trials and ITL Haldane Drill Isolator project. Steer has a proven partnership with SGN and the wider gas industry, offering a variety of services, including experimental lab testing, training, and testing facilities.

This project will explore the feasibility of integrating hydrogen train refuelling infrastructure to support the development of a hydrogen rail network. This has particular relevance to our network as some of the UK’s hardest to electrify rail routes are situated in Wales and South West England. The project will focus on these hard to electrify routes, exploring H2’s potential role in enabling their decarbonisation. If successful, this project can help the WWU network to become a proving ground for real-world delivery of impactful H2 rail technology. It is expected to provide information which can be used in planning strategic hydrogen pipeline routes and network repurposing plans, and support regional energy planning.

National Gas Transmission (NGT) own and operate the UK’s National Transmission System (NTS), transporting natural gas from terminals to end users. NGT have ambitions to repurpose the existing to transport hydrogen and hydrogen blends. Understanding the impact of hydrogen on our existing assets is a key enabler for this.

This project will conduct design of flare for hydrogen and its blends and vent system for hydrogen, its blends and carbon dioxide and offline physical testing to provide evidence that hydrogen / hydrogen blends could be flared and vented safely and environmentally in for NTS.

This project assembles a multi-laboratory team to address high-priority research topics identified by industry related to the blending of hydrogen into the U.S. natural gas pipeline network. PRCI has been contracted by DOE to provide contract and invoicing support which allows additional members to join after project start.

There were four main activities being performed in Phase 1 of the CRADA project that fell under two categories: materials research and analysis. Sandia National Laboratories (SNL) led the materials research on metals, which is primarily used for natural gas transmission, while Pacific Northwest National Laboratory (PNNL) headed the research on polymeric materials, which comprise the natural gas distribution network. Argonne National Laboratory (ANL) was responsible for life-cycle analysis while the National Renewable Energy Laboratory (NREL) performed techno-economic analysis on hydrogen blending scenarios, the work on these subjects will be extended in Phase 2.

This project aims to assess and enhance the hydrogen readiness of ball valves within the (NTS) by conducting maintenance strategy evaluation with material performance analysis. It involves reviewing current valve operations, diagnostics, and OEM maintenance guidance, alongside a literature review of commonly used valve materials to understand their behaviour under hydrogen exposure. The project valve performance testing and finite element analysis of existing valve designs to evaluate structural integrity. Findings from these activities will provide actionable recommendations for updating NGT’s valves maintenance strategies, diagnostic tools, and design standards to support safe and efficient hydrogen service deployment