University of Edinburgh
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Technical report (2009) commissioned by Christian Aid and written by researchers from the University of Edinburgh and the University of Surrey. It aims to explore the prospects for carbon capture and storage (CCS) to play a significant role within global action to mitigate the risk of climate change, with a focus on India. Available for download at http://hdl.handle.net/1842/15679.
This dataset relates to the scientific journal article "A pilot-scale study of dynamic response scenarios for the flexible operation of post-combustion CO2 capture" (Tait et al. 2016), a study which was funded as part of the call 2 project "Towards more flexible generation with CCS". Pilot plant data from five dynamic scenarios for post-combustion capture on a state-of the-art NGCC plant (circa 2015) are included. The output from a novel solvent sensor, which can provide continuous online measurement of solvent CO2 loading is also included for several scenarios. The article can be found at: http://dx.doi.org/10.1016/j.ijggc.2015.12.009. More information on the project is available at https://ukccsrc.ac.uk/resources/ccs-projects-directory/towards-more-flexible-power-generation-ccs-pilot-plant-test
A selection of abstracts and posters presented at international conferences as part of EPSRC Grant #EP/K036033/1.
This Microsoft Excel document contains 8 worksheets providing data produced by research as part of EPSRC Grant #EP/K036033/1. These data are presented and discussed in the manuscript "The Inherent Tracer Fingerprint of Captured CO2." by Flude, S. Györe, D., Stuart, F.M., Zurakowska, M., Boyce, A.J., Haszeldine, S., Chalaturnyk, R., and Gilfillan, S. M. V. (Currently under review at IJGGC). Data include samples collected, gas concentrations, stable isotope data and noble gas data. This data relates to publication https://doi.org/10.1016/j.ijggc.2017.08.010.
Contains 6 SCCS technical briefings, technical letters and technical journal responses - Working Paper 2010-04: Popular response to Economides, CO2 storage is feasible; Working Paper 2010-05: Formal response to Economides, CO2 storage is feasible; Working Paper 2010-07: Comment on Little and Jackson: Potential Impacts of Leakage from Deep CO2 Geosequestration on Overlying Freshwater Aquifers; Working Paper 2012-01: Comment by Stuart Haszeldine on Zoback and Gorelick; Working Paper 2014-01: Sleipner CO2 securely stored deep beneath seabed, in spite of unexpected Hugin fracture discovery; Working Paper 2015-02: Carbon Dioxide Transport Plans for Carbon Capture and Storage in the North Sea Region - A summary of existing studies and proposals applicable to the development of Projects of Common Interest.
This collection comprises two time-series of 3D in-situ synchrotron x-ray microtomography (μCT) volumes showing two Ailsa Craig micro-granite samples (ACfresh02 and ACHT01) undergoing triaxial deformation. These data were collected in-situ at the PSICHE beamline at the SOLEIL synchrotron, Gif-sur-Yvette, France in December 2016 (standard proposal 20160434) and are fully explained in Cartwright-Taylor A., Main, I.G., Butler, I.B., Fusseis, F., Flynn M. and King, A. (in press), Catastrophic failure: how and when? Insights from 4D in-situ x-ray micro-tomography, J. Geophys. Res. Solid Earth. Together, these two time-series show the influence of heterogeneity on the micro-crack network evolution. Ailsa Craig micro-granite is known for being virtually crack-free. One sample (ACfresh02) remained as-received from the quarry until it was deformed, while the second (ACHT01) was slowly heated to 600 degC and then slowly cooled prior to deformation in order to introduce material disorder in the form of a network of nano-scale thermal cracks. Thus these two samples represent two extreme end-members: (i) ACfresh02 with the lowest possible (to our knowledge) natural pre-existing crack density, and so is a relatively homogeneous sample and (ii) ACHT01 with a thermally-induced nano-crack network imprinted over the nominally crack-free microstructure, and therefore has increased heterogeneity relative to ACfresh02. Each 3D μCT volume shows the sub-region of each sample in which the majority of damage was located and has three parts. Part one is reconstructed 16-bit greyscale data. Part two is 8-bit binary data showing individual voids (pores and micro-cracks) in the dataset after segmentation. Part three is 32-bit data showing the local thickness of each void, as in Cartwright-Taylor et al. (in press) Figures 4 and 5. Each part is a zip file containing a sequence of 2D image files (.tif), sequentially numbered according to the depth (in pixels, parallel to the loading axis) at which it lies within the sample volume. File dimensions are in pixels (2D), with an edge length of 2.7 microns. Each zip file is labelled with the sample name, the relevant letter for each 3D volume as given in Cartwright-Taylor et al. (in press) Tables 3 and 4, part 1, 2 or 3 (depending whether the data are greyscale, binary or local thickness respectively), the differential stress (MPa) on the sample, and the associated ram pressure (bar) to link with individual file names. The following convention is used: sample_letter_part_differentialstress_rampressure_datatype. Also included are (i) two spreadsheets (.xlsx), one for each sample, containing processing parameters and the mechanical stress and strain at which each volume was scanned, and (ii) zip files containing .csv files containing measurement data for the labelled voids in each volume. N.B. void label numbers are not consistent between volumes so they can only be used to obtain global statistics, not to track individual voids.
This poster on the UKCCSRC Call 2 project Flexible CCS operations combined with online solvent monitoring: A pilot-scale study was presented at the CSLF Call project poster reception, London, 27.06.16. Grant number: UKCCSRC-C2-214. This project focuses on enhancing the flexibility of amine based post-combustion capture systems 1. To evaluate the flexible operation capabilities of current post-combustion CCS plant designs via dynamic scenario testing at pilot scale. 2. To identify hardware bottlenecks to dynamic operation and suggest improvements. 3. To develop new instrumentation, operating strategies and control systems which will enhance operational flexibility. 4. To obtain real plant data to complement dynamic modelling efforts.
This presentation on the EPSRC project, Fingerprinting captured CO2 using natural tracers: Determining CO2 fate and proving ownership, was presented at the Cranfield Biannual, 21.04.15. Grant number: EP/K036033/1.
SCCS presentations, consultations, responses, briefings and communications on CCS and CO2 storage for the period 2005 - 2009
Carbon capture and storage (CCS) is a promising means of directly lowering CO2 emissions from fossil fuel combustion. However, concerns about the possibility of CO2 leakage are contributing to slow the widespread adoption of the technology. Research to date has failed to identify a cheap and effective means of measuring how CO2 injected underground is being stored. CO2 can be stored in four different ways: 1.Physically - where gaseous or liquid CO2 is trapped beneath an impermeable sealing cap rock. 2.Residually - where CO2 is trapped within individual and dead end spaces between rock grains (pores). 3.Solubility - where CO2 is dissolved into the formation water, which fills the pores between rock grains. 4.Mineralisation - where CO2 reacts with the host rock forming new carbonate minerals within the pores. Importantly, physically trapped CO2 is mobile and able to leak should a break form in the overlying sealing rocks. CO2 stored by the other three means is not mobile or buoyant, and hence will not migrate out of the CO2 storage site should the seal fail. It is therefore critical for reassurance to the public and regulators of CO2 storage that reliable ways to measure how much of the CO2 injected into the subsurface for storage is locked away in these secure means. Few research studies to date have quantified exactly how much CO2 is stored by residual and solubility trapping across an entire storage site. Estimations have been made from laboratory studies on rock core samples, but these only represent rocks from a small part of the CO2 storage site. Extending these results to infer how CO2 will be stored in the entire storage site is difficult as the rock cores do not represent the variation seen across the storage site. It is possible to use seismic waves to image the CO2 injected. This has proved to be a reliable means of imaging large amounts of CO2 but is unable to image thin layers of CO2 or % dissolved CO2 which makes it very difficult to quantify exactly how CO2 is being stored. Hence, there is a need to develop a reliable test which can be performed at a single CO2 injection well during assessment of a potential site for CO2 storage. This would allow the amount of CO2 which will be residually trapped in the storageformation to be determined. Such a test will lower the risk of mis-estimating the storage capacity of a site and provide a commercial operator with greater reassurance of the predictability of their proposed storage site. We will work with one of the world's leading research organisations focused on CCS, CO2CRC. They own and operate a dedicated research facility into CO2 storage, at Otway CO2 in Australia. This is uniquely suitable because in mid-2011 Otway undertook a successful experimental programme focused on determining residual trapping. Building on these experiments and in direct collaboration with CO2CRC we will use water geochemistry to establish the fate of CO2 injected into the Otway site by quantifying both the level of CO2 residually and solubility trapped and at what distance into the reservoir. This will be achieved using noble gas tracer injection and recovery, to determine residual trapping levels, and by independent oxygen stable isotope measurements to quantify the amount of CO2 dissolution. These tests will calibrate downhole geophysical techniques which CO2CRC will use. Grant number: UKCCSRC-C2-204.