Projects
Projects: Projects for Investigator |
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| Reference Number | EP/P032737/1 | |
| Title | Corrosion Prediction in Residual CO2 Streams: Shifting the Paradigm | |
| Status | Completed | |
| Energy Categories | Fossil Fuels: Oil Gas and Coal(CO2 Capture and Storage, CO2 transport) 100%; | |
| Research Types | Basic and strategic applied research 100% | |
| Science and Technology Fields | PHYSICAL SCIENCES AND MATHEMATICS (Metallurgy and Materials) 25%; ENGINEERING AND TECHNOLOGY (Mechanical, Aeronautical and Manufacturing Engineering) 75%; |
|
| UKERC Cross Cutting Characterisation | Not Cross-cutting 100% | |
| Principal Investigator |
Professor A Neville No email address given Mechanical Engineering University of Leeds |
|
| Award Type | Standard | |
| Funding Source | EPSRC | |
| Start Date | 01 April 2017 | |
| End Date | 31 March 2018 | |
| Duration | 12 months | |
| Total Grant Value | £60,478 | |
| Industrial Sectors | Energy | |
| Region | Yorkshire & Humberside | |
| Programme | Energy : Energy | |
| Investigators | Principal Investigator | Professor A Neville , Mechanical Engineering, University of Leeds (100.000%) |
| Web Site | ||
| Objectives | ||
| Abstract | Cost-effective Carbon Capture and Storage (CCS) offers one option for meeting the goals of the Paris Agreement, reached at COP 21 in December 2015. Whilst there have been major efforts to develop technologies for capture and storage, transportation between the two points has received less attention to date. However, there is now an increasing awareness that this is an important focus area. The behaviour of dense phase and supercritical CO2 mixtures containing largeamounts of possible impurities is not well understood. Accurate predictions of the physical properties and corrosion potential of these mixtures will be needed for the cost-effective design and operation of both capture and disposal systems. The overall goal of this project is to improve the predictive tools for both physical properties and corrosion rates and to demonstrate their accuracy against laboratory and field data in order to increase the confidence and gain industry acceptance of the predictions being made. An experimental framework will provide the necessary inputs for the corrosion related aspects of the model, whilst the phase equilibria model will enable exact conditions to be described | |
| Publications | (none) |
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| Final Report | (none) |
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| Added to Database | 25/08/17 | |
