Projects
Projects: Projects for Investigator |
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| Reference Number | NIA_WWU_068 | |
| Title | Flexible Generation Forecasting | |
| Status | Completed | |
| Energy Categories | Other Cross-Cutting Technologies or Research(Energy Models) 50%; Fossil Fuels: Oil Gas and Coal(Oil and Gas, Refining, transport and storage of oil and gas) 50%; |
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| Research Types | Applied Research and Development 100% | |
| Science and Technology Fields | ENGINEERING AND TECHNOLOGY (Mechanical, Aeronautical and Manufacturing Engineering) 100% | |
| UKERC Cross Cutting Characterisation | Systems Analysis related to energy R&D (Energy modelling) 100% | |
| Principal Investigator |
Project Contact No email address given Wales and West Utilities |
|
| Award Type | Network Innovation Allowance | |
| Funding Source | Ofgem | |
| Start Date | 01 September 2020 | |
| End Date | 01 April 2021 | |
| Duration | ENA months | |
| Total Grant Value | £226,666 | |
| Industrial Sectors | Energy | |
| Region | Wales | |
| Programme | Network Innovation Allowance | |
| Investigators | Principal Investigator | Project Contact , Wales and West Utilities (99.997%) |
| Other Investigator | Project Contact , National Grid plc (0.001%) Project Contact , SP Energy Networks (0.001%) Project Contact , Wales and West Utilities (99.997%) Project Contact , Northern Gas Networks (0.001%) |
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| Industrial Collaborator | Project Contact , Wales and West Utilities (0.000%) |
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| Web Site | https://smarter.energynetworks.org/projects/NIA_WWU_068 |
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| Objectives | This project is looking to establish what relevant data is held across gas and electricity networks and develop a model for flexible generation. The numbers of these smaller power generation sites connecting to the network over the coming years is forecast to continue to increase, so its important that we put new processes and systems in place to help us manage them.Currently, no model or modelling capability exists that can accurately and robustly forecast the operation of flexible gas generation on GD networks. Developing such a model is required now as the operation of flexible gas generators is becoming less predictable (other flexible assets and the dynamic nature of different flexibility value streams is increasing the complexity of managing the impact of flexible gas generation on the gas networks) in order to enable networks to operate our network more efficiently.The project will be a four stage project:WP1: review of the current modelling capabilities for flexible generationWP2: scoping the key drivers and identifying data needs & availabilityWP3: model scoping and developmentWP4: demonstrating the value of data sharing The approach for the project is made up of four work packages as follows:WP1: review of the current modelling capabilities for flexible generation Fully understand the current modelling capability on flexible generation of the financing network parties and the challenge the face. Review of modelling capabilities of other relevant external companies (via interviews and desk-based research). WP2: scoping the key drivers and identifying data needs & availability Define the key drivers of flexible gas generation operation. Identify data required, sources, and availability / accessibility WP3: model scoping and development Initial model scoping Developing model architecture / analysis approach Developing model Using, testing & validating model Documentation WP4: demonstrating the value of data sharing Working with the financing parties to scope out the final tasks required to make a compelling case to other stakeholders in the energy system for greater data sharing Recommendations for what data should be shared between network control centres (GDNs, DNOs, ESO, NGGT). The core objectives of the project are to: Develop a robust model that can accurately forecast flexible generation plant operation 48 hours ahead. Identify the key drivers and relevant datasets that will enable GDNs to more accurately forecast flexible generation operation on their networks. Demonstrate a clear business case for improved data sharing between the UK network operators. Take a collaborative approach – involving other GDNs, NGGT, DNOs and ESO Identify and summarise current best practise approaches / modelling capability in the UK with respect to forecasting flexible generation operation Share key learnings and best practise with other UK GDNs & DNOs – to improve whole system forecasting and network planning / operation in close to real time. | |
| Abstract | A project to identify the key drivers and relevant datasets that will enable GDNs to more accurately forecast flexible generation operation on their networks | |
| Publications | (none) |
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| Final Report | (none) |
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| Added to Database | 02/11/22 | |
