Projects: Projects for Investigator |
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Reference Number | NIA_NGET0144 | |
Title | Integrated electricity and gas transmission network operating model (ICASE Award) | |
Status | Completed | |
Energy Categories | Other Power and Storage Technologies(Electricity transmission and distribution) 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 (Electrical and Electronic Engineering) 50%; ENGINEERING AND TECHNOLOGY (Mechanical, Aeronautical and Manufacturing Engineering) 50%; |
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UKERC Cross Cutting Characterisation | Not Cross-cutting 50%; Systems Analysis related to energy R&D (Energy modelling) 50%; |
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Principal Investigator |
Project Contact No email address given National Grid Electricity Transmission |
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Award Type | Network Innovation Allowance | |
Funding Source | Ofgem | |
Start Date | 01 October 2012 | |
End Date | 01 October 2016 | |
Duration | 48 months | |
Total Grant Value | £200,000 | |
Industrial Sectors | Power | |
Region | London | |
Programme | Network Innovation Allowance | |
Investigators | Principal Investigator | Project Contact , National Grid Electricity Transmission (99.999%) |
Other Investigator | Project Contact , National Grid Gas Transmission (0.001%) |
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Web Site | http://www.smarternetworks.org/project/NIA_NGET0144 |
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Objectives | This project will extend classical power system models to an integrated network operation model that takes into account the tighter interaction of electricity and gas systems and the impact of such interaction in terms of flexibility, adequacy, reliability, and resilience of the overall energy system under future uncertain scenarios. The PhD includes three main deliverables: Report with literature review on gas network, electricity network, and integrated electricity and gas network models for operational assessment and optimization. Report with description of a prototype model for integrated gas and electrical network operational assessment and optimization. Report with a description of the developed integrated gas and electrical network model and case study applications with current and future scenarios. | |
Abstract | The operation and development of a future power system will be more and more linked to the evolution of other interconnected energy vector systems, and in particular of the gas network. Challenges in terms of identifying the optimal operational and planning approaches for the gas transmission and electricity transmission networks, from both techno-economic and reliability standpoints need to be addressed. In researching and understanding these challenges there is also a potential to develop cutting edge modelling and assessment tools that can be used for integrated energy networks that are operating under uncertainty. Research The project will interact with a number of existing projects, including the Autonomic Power Systems Grand Challenge, HubNet, and ResNet. A model to research the gas and electricity network will allow the study of the gas demand for electrical generation under variations in electrical demand and gas price. It is designed to be extendable to allow the future inclusion of other characteristics. For example, important questions exist on the cost and reliability of the GB gas and electrical networks under variations in wind, the model allows for the inclusion of change in generation due to meteorological variables. Assessment of how smart management of both networks could support the development of clean energy scenarios beyond the traditional electricity-only Smart Grid vision. Taking into account day-to-day operation of storage facilities, a successful and realistic modelling of the gas network’s current operation, onto which to include an analysis of the electrical network. To enable analysis of sudden changes in the gas demand for electrical generation (e.g. changes in wind or fast changes in electricity demand due to electrification), the model will include an intraday analysis based on hourly or half-hourly demand intervals. Shorter intervals are being considered in a finite difference scheme so that the dynamic aspects of linepack can be considered. Attention is being paid to properly model the gas network dynamic characteristics in its interaction with electricity.Note : Project Documents may be available via the ENA Smarter Networks Portal using the Website link above | |
Data | No related datasets |
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Projects | No related projects |
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Publications | No related publications |
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Added to Database | 10/09/18 |