Projects
Projects: Custom Search |
||
| Reference Number | NIA_CAD0099 | |
| Title | Customer Demand Profiling for Hydrogen Networks | |
| Status | Completed | |
| Energy Categories | Other Cross-Cutting Technologies or Research (Energy Models) 30%; Other Cross-Cutting Technologies or Research (Energy system analysis) 60%; Fossil Fuels: Oil Gas and Coal (Oil and Gas, Refining, transport and storage of oil and gas) 10%; |
|
| Research Types | Applied Research and Development 100% | |
| Science and Technology Fields | SOCIAL SCIENCES (Economics and Econometrics) 100% | |
| UKERC Cross Cutting Characterisation | Not Cross-cutting 100% | |
| Principal Investigator |
Project Contact No email address given Cadent Gas |
|
| Award Type | Network Innovation Allowance | |
| Funding Source | Ofgem | |
| Start Date | 01 January 2024 | |
| End Date | 30 April 2024 | |
| Duration | ENA months | |
| Total Grant Value | £75,000 | |
| Industrial Sectors | Energy | |
| Region | London | |
| Programme | Network Innovation Allowance | |
| Investigators | Principal Investigator | Project Contact , Cadent Gas (99.996%) |
| Other Investigator | Project Contact , Cadent Eastern (0.001%) Project Contact , Cadent North London (0.001%) Project Contact , Cadent North West (0.001%) Project Contact , Cadent West Midlands (0.001%) |
|
| Industrial Collaborator | Project Contact , Cadent Gas (0.000%) |
|
| Web Site | https://smarter.energynetworks.org/projects/NIA_CAD0099 |
|
| 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. | |
| Data | No related datasets |
|
| Projects | No related projects |
|
| Publications | No related publications |
|
| Added to Database | 02/10/24 | |
