East Neuk A Techno Economic Study into the Energy System

Completed

Hydrogen and Fuel Cells(Hydrogen, Other infrastructure and systems R&D)

Applied Research and Development

ENGINEERING AND TECHNOLOGY (Mechanical, Aeronautical and Manufacturing Engineering)

Not Cross-cutting

Project Contact
SGN

Network Innovation Allowance

Ofgem

01 February 2019

01 August 2019

ENA months

£205,000

Energy

South East

Network Innovation Allowance

Project Contact, SGN

Project Contact, SP Energy Networks

The project will assess how an integrated hydrogen energy system in Fife will work and how to it could function at a much larger scale for Scotland. Electricity from a variety of renewable sources are couples via the electricity network and an electrolyser to the gas network in the form of hydrogen. This in turn can be utilized directly in a vehicle refueling station or at different offtake points from the gas network to supply domestic and commercial properties.The electrical network in this part of Fife is constrained and any increase to the amount of installed renewable generation capacity without upgrading the network would likely result in increased curtailment of output. Maximising utilisation of assets, revenue opportunities from multiple energy streams, and potentially other local economic benefits points to the consideration of combining gas, electricity and transport infrastructure in an optimal way. The project will comprise a review of the energy system optimisation to explore how the gas and electricity networks, both present and future, could maximise local energy generation, distribution and efficiency in the East Neuk of Fife region.The scope will be carried out through the following tasks: A literature review to identify previous work in the area. A detailed investigation into the level of constraints and generation curtailment on the network in the East Fife area. This shall include quantification of the energy that could potentially be released for Hydrogen generation. Assessment of how the constrained energy could be used to generate and use or store Hydrogen at the demonstration site in Levenmouth. This will identify how the constrained energy can be converted into Hydrogen either for blending or 100% delivery. The assessment will consider use in domestic and commercial properties including EV opportunities. It will identify how to maximise electric, Hydrogen or low emission vehicles in region. A review of how access to gas networks is best facilitated for renewable generators and how can SGN and other gas networks support the DSO role in future. An assessment of commercial arrangements for the use of constrained energy for the production of hydrogen with a particular focus on how site at Levenmouth may support work in the FUSION project. Reports on results and dissemination of findings. The primary objectives of the project are to quantify constrained energy in the East Neuk of Fife and demonstrate how its conversion to Hydrogen can be maximised for either the gas network or for EV purposes. This will highlight opportunities and the extent that Hydrogen may be able to participate in the decarbonisation of the region.

This project will assess how an integrated hydrogen energy system in Fife will work and how to it could function at a much larger scale for Scotland. Electricity from a variety of renewable sources are couples via the electricity network and an electrolyser to the gas network in the form of hydrogen. This in turn can be utilized directly in a vehicle refuelling station or at different offtake points from the gas network to supply domestic and commercial properties.The electrical network in this part of Fife is constrained and any increase to the amount of installed renewable generation capacity without upgrading the network would likely result in increased curtailment of output. Maximising utilisation of assets, revenue opportunities from multiple energy streams, and potentially other local economic benefits points to the consideration of combining gas, electricity and transport infrastructure in an optimal way.

14/12/22