Reference Number
NIA_CAD0099
Title
Customer Demand Profiling for Hydrogen Networks
Energy Categories
Other Cross-Cutting Technologies or Research(Energy Models)
Other Cross-Cutting Technologies or Research(Energy system analysis)
Fossil Fuels: Oil Gas and Coal(Oil and Gas, Refining, transport and storage of oil and gas)
Research Types
Applied Research and Development
Science and Technology Fields
SOCIAL SCIENCES (Economics and Econometrics)
UKERC Cross Cutting Characterisation
Not Cross-cutting
Principal Investigator
Project Contact
Cadent Gas
Award Type
Network Innovation Allowance
Start Date
01 January 2024
Total Grant Value
£75,000
Industrial Sectors
Energy
Programme
Network Innovation Allowance
Investigators
Principal Investigator
Objectives
The project should be split into 3 parts.Part 1. Investigate the different methodologies used in customer demand profiling (e.g. algorithmic, Nominations etc)Part 2. Assess the levels of accuracy in each method, balanced with the need for reactivity and currency (e.g. risks of not having enough versus commercial loss).Part 3. Report on the various tools and recommended methods and associated ROM costs. Inaccurate forecasting of demand may lead to system imbalances. This carries a number of risks, some of which are highlighted below.Risk 1. A safely balanced network, operating within defined parameters (e.g. pressure, temperature) will undergo less stress/fatigue than a network that is cycled over wider parameters. This will lead to less faults/failures and potential outages which, in turn, reduces the costs of operating the pipeline as maintenance should be reduced. Reduced cycling will also extend the life of the assets.Increased cycling through imbalance will increase the stress/fatigue and in turn increase the associated costs of safely maintaining the pipeline.Risk 2. An imbalanced pipeline may result in customer demand having to be curtailed/isolated, or additional supply sought, potentially at short notice. These short notice changes may carry financial penalties. However, the primary risk is reputational as Cadent aim to ensure security of supply to all its customers.Risk 3. Cadent is expected to be operating under a Code similar to the UNC (Uniform Network Code). This will include a balancing period for energy tracking. Imbalance in the Network will cause complexities in allocation and closing out that balancing period. Again, this may result in financial penalties but will result in reputational damage. · Identify different methods of forecasting customer demand.· Assess accuracy, speed, reactivity, and currency.· Report on findings and recommendations.
Abstract
By analysing global methods of demand forecasting in various industries (e.g, Utilities, NHS, Finance, fuel), this project aims to explore the optimum way to obtain and manage consumer demands and the optimum time period to gather those demands over (e.g. daily demand, 4hr demand etc)The project will look at customer demand profiling for both on the day and ahead of the day change management.It will also explore long term forecasting of up to 10 years.
Added to Database
02/10/24