**Renewable Energy Harvest** unlocks the untapped power of Britain's countryside by turning farm, food, and forestry residues into clean, flexible green gas. By combining biomethane and syngas production with advanced mapping and forecasting tools, the project will identify where rural resources can best connect into the gas network. This innovation supports a fair, low-carbon transition - cutting emissions, reducing costs, and keeping energy value in local communities. Backed by Northern Gas Networks and partners, Renewable Energy Harvest paves the way for smarter, more resilient infrastructure that helps Britain make better use of low-carbon gases for a decarbonised future energy system.

GNES (Gas Network Evolution Simulator) uses Agent Based Modelling to simulate how people, policies, and infrastructure interact as the UK transitions away from natural gas. By reflecting real-world behaviours and decisions, it helps energy networks, policymakers, and communities explore fair, cost-effective pathways to decarbonisation. GNES reveals how transition choices impact different households and regions, ensuring no one is left behind. Developed by the Centre for Energy Equality with industry and public partners, GNES supports a whole-system approach to planning a just and resilient energy future that works for everyone, not just those able to move first.

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.

Cross-Vector Energy Hubs can leverage the flexibility of both Electrical and Gas technologies to support the electricity system and release grid capacity via coordination of these parallel energy vectors. The project builds and demonstrates a planning and simulation toolset that evaluates the Cross-Vector Energy Hub, allowing both DNOs and prospective Energy Hub developers/owners to simulate the coordination of electrical and gas technology components. The toolset models the control of device portfolios as configured by user, quantifying the value of constraint-limitation and feasible device coordination (_technical_), which can then feed into assessment of the commercial value for such coordination (_economic_).

The HyScale Liquid Organic Hydrogen Carrier (LOHC) project aims to demonstrate how an LOHC system can be used for capturing, storing and releasing hydrogen into a gas network, to manage long-duration storage requirements. The use of LOHCs connected to an electrolyser and a hydrogen gas network, will enable it to run flexibly and take advantage of low electricity prices. This will reduce the cost of producing hydrogen for consumers, accelerating the uptake of hydrogen for industrial offtakers, power generation and domestic heating. LOHC systems may play an important role in providing storage flexibility where geological storage is not available.

The project will explore how fuel cell micro-Combined Heat and Power (CHP) systems can provide UPS functionality for individual homes as well as support to other nearby homes which depend on direct electrification to provide heat, power and mobility. Fuel cell technology can generate at efficiencies equivalent to the highest efficiency central generation plant even at micro-generation level. Its location within the LV network further ensures that system losses are minimised, by-product heat can be utilised, and local balancing is more easily achieved. This results in increased resilience and lower operating costs for consumers and the energy system.

Under the UK's ambitious decarbonisation trajectory, the role of the UK's gas network infrastructure is changing significantly. Between 2014 and 2020, an estimated £7.6 billion is to be invested in the UK's gas networks to modernise and adapt these systems in response to their evolving function in the UK's energy infrastructure system. At present, Gas Distribution Network Operators (GDNOs) do not yet have an integrated forecasting system to show how the complex interactions of new heating technology adoption (such as heat pumps, combined heat and power, district heating, etc.), new distributed gas sources (e.g. from biomethane, low carbon hydrogen and unconventional gas injection into the gas grid) and climate change will impact on the demand and supply levels across different areas of their networks in future. In this project, we will test the feasibility of a new type of forecasting tool that can be used by GDNOs to better understand how these complex factors will impact on gas distribution network infrastructure requirements to minimise costs, optimise the matching of supply and demand, improve energy security and reduce the carbon intensity of the gas network, with the potential to save GDNOs and UK gas consumers as much as £130 million per annum.