University of Strathclyde
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This data contains the output from the first Flexible CCS Network Development (FleCCSnet) workshop of stakeholders discussing the development of CO2 networks in the UK. The first was held on the 30 April 2014 at the University of Edinburgh, UK. The purpose of Workshop 1 was to identify and confirm the key questions to be considered in order to understand the most likely impacts of variability in the CO2 sources and variability in CO2 sinks on CO2 transport system design and operation. There were a total of 21 attendees including 7 representatives from PSE, Scottish Power, BP, SCCS, Parsons Brinckerhoff, Element Energy, and AMEC. The dataset consists of two reports. The first report, 'Developing CO2 networks: Key lessons learnt from the first Flexible CCS Network Development (FleCCSnet) project workshop', summarises the workshop findings, which have been used to create a series of scenarios that were investigated by transient simulation. The scenarios developed are described in the second report, 'Developing CO2 networks: Scenarios building on the first Flexible CCS Network Development (FleCCSnet) project workshop'.
This dataset contains: 1. An excel spreadsheet of field data from Tipperary pool, including CO2 bubble locations, raw and derived flux data, and field description. March 2017 field campaign. 2. Python scripts for two point correlation function, a spatial statistical method used to describe the spatial distribution of points, and applied to Tipperary pool CO2 bubbling points to determine geological control on their distribution. As reported in: Roberts, J.J., Leplastrier, A., Feitz, A., Bell, A., Karolyte, R., Shipton, Z.K. Structural controls on the location and distribution of CO2 leakage at a natural CO2 spring in Daylesford, Australia. IJGHGC.
This poster on the UKCCSRC Call 2 project Shelter and Escape in the Event of a Release of CO2 from CCS Infrastructure (S-CAPE) was presented at the CSLF Call project poster reception, London, 27.06.16. Grant number: UKCCSRC-C2-179. Pipelines are acknowledged as one of the most efficient and cost-effective methods for transporting large volumes of various fluids over long distances and therefore the majority of proposed schemes for Carbon Capture and Storage (CCS) involve high pressure pipelines transporting CO2. In order to manage the risk in the event of the failure of a carbon dioxide (CO2) pipeline, it is a core requirement that a separation distance between pipelines and habitable dwellings is defined to ensure a consistent level of risk. The aim of this project is to develop validated and computationally efficient shelter and escape models describing the consequences to the surrounding population of a CO2 release from CCS transportation infrastructure. The models will allow pipeline operators, regulators and standard setters to make informed and appropriate decisions regarding pipeline safety and emergency response. This poster presents some preliminary findings from the S-Cape project and: • Describes the development of analytical and Computational Fluid Dynamic (CFD) models to calculate the change in internal CO2 concentration within a building engulfed by a dispersing cloud of CO2. • Investigates the sensitivity of the CO2 concentration within a building to wind speed and the temperature of the CO2 in the pipeline. • Demonstrates how CFD models can be used to verify results obtained using computationally efficient analytical models.
This poster on the UKCCSRC Call 2 project Shelter and Escape in the Event of a Release of CO2 from CCS Infrastructure (S-CAPE) was presented at the UKCCSRC Manchester Biannual Meeting, 13.04.2016. Grant number: UKCCSRC-C2-179.
This is a blog (Workshop1, 30.04.14) on the UKCCSRC Call 1 project, Flexible CCS Network Development. Grant number: UKCCSRC-C1-40.
This is a blog (Update, 06.03.14) on the UKCCSRC Call 1 project, Flexible CCS Network Development. Grant number: UKCCSRC-C1-40.
This poster on the UKCCSRC Call 1 project, Flexible CCS Network Development, was presented at the Cranfield Biannual, 21.04.15. Grant number: UKCCSRC-C1-40.
This Microsoft Excel document contains 5 worksheets providing data produced by research as part of UKCCSRC Call 1 funded project (grant number UKCCSRC-C1-31) and UKCCSRC funded international exchange. These data are presented and discussed in the manuscript "Geochemical tracers for monitoring offshore CO2 stores" by J. Roberts, S. Gilfillan, L. Stalker, M. Naylor, https://doi.org/10.1016/j.ijggc.2017.07.021. Then data details the assumptions around background concentrations of chemical tracers in the atmosphere and seawater, cost per litre, and how tracer detection concentrations (and so cost and potential environmental impact were calculated).
The aim of this project is to develop validated and computationally efficient shelter and escape models describing the consequences of a carbon dioxide (CO2) release from Carbon Capture and Storage (CCS) transport infrastructure to the surrounding population. The models will allow pipeline operators, regulators and standard setters to make informed and appropriate decisions regarding pipeline safety and emergency response. The primary objectives planned to achieve this aim are: 1.To produce an indoor shelter model, based on ventilation and air change theory, which will account for both wind and buoyancy driven CO2 ventilation into a building. The model will be capable of incorporating varying cloud heights, internal building divisions, internal and external temperature differences and impurities. 2.To create an external escape model that will determine the dosage received by an individual exposed to a cloud of CO2 outdoors. The model will be capable of incorporating multi-decision making by the individual in terms of the direction and speed of running, wind direction, the time taken to find shelter and the time required to make a decision, on becoming aware of the release. 3.To build a Computational Fluid Dynamics (CFD) model describing the effects of ingress of a CO2 cloud into a multicompartment building. 4.To validate the indoor shelter model and the CFD model against experimental test data for a CO2 release into a single compartment building. 5.To validate the indoor shelter model against further CO2 ingress scenarios modelled with CFD. 6.To conduct a sensitivity study using the shelter and escape models to calculate the dosage that an individual will be expected to receive under different conditions building height, window area, wind direction, temperature gradient, wind speed, atmospheric conditions, building size, running speed, direction of travel and reaction time. 7.To illustrate how the output from the models, in terms of dosage, can be used as input to Quantitative Risk Assessment (QRA) studies to determine safe distances between CO2 pipelines and population centres. 8.To demonstrate how the output from the models, in terms of dosage, can be used as input to the development of emergency response plans regarding the protection afforded by shelter and the likely concentrations remaining in a shelter after release. 9.To disseminate the findings of the research to relevant stakeholders through publication of academic journal papers as well as presentations at conferences, UKCCSRC meetings and relevant specialist workshops. Grant number: UKCCSRC-C2-179.
This presentation on the UKCCSRC Call 1 project, Flexible CCS Network Development, was presented at the Workshop1ES, 30.04.14. Grant number: UKCCSRC-C1-40.