Identification

Title

UKCCSRC Call 2 Project: S-CAPE - Shelter and Escape in the Event of a Release of CO2 from CCS Infrastructure

Abstract

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.

Resource type

nonGeographicDataset

Resource locator

https://www.bgs.ac.uk/ukccs/accessions/projects.html

function: information

Unique resource identifier

code

http://data.bgs.ac.uk/id/dataHolding/13606680

codeSpace

Dataset language

eng

Spatial reference system

code identifying the spatial reference system

Classification of spatial data and services

Topic category

geoscientificInformation

Keywords

Keyword set

keyword value

originating controlled vocabulary

title

reference date

date type

publication

effective date

2008-06-01

Keyword set

keyword value

NGDC Deposited Data

UKCCS

Carbon capture and storage

originating controlled vocabulary

title

reference date

date type

revision

effective date

2022

Keyword set

keyword value

Keyword set

keyword value

NERC_DDC

Geographic location

West bounding longitude

East bounding longitude

North bounding latitude

South bounding latitude

Temporal reference

Temporal extent

Begin position

2014-09

End position

2016-05

Dataset reference date

date type

creation

effective date

2014-09

Frequency of update

notApplicable

Quality and validity

Lineage

UKCCSRC Call 2 project, grant number: UKCCSRC-C2-179, Lead institution: University of Strathclyde

Conformity

Conformity report

specification

title

reference date

date type

publication

effective date

2011

degree

false

explanation

See the referenced specification

Conformity report

specification

title

reference date

date type

publication

effective date

2010-12-08

degree

false

explanation

See http://eur-lex.europa.eu/LexUriServ/LexUriServ.do?uri=OJ:L:2010:323:0011:0102:EN:PDF

Data format

name of format

version of format

Constraints related to access and use

Constraint set

Limitations on public access

Constraint set

Limitations on public access

The copyright of materials derived from the British Geological Survey's work is vested in the Natural Environment Research Council [NERC]. No part of this work may be reproduced or transmitted in any form or by any means, or stored in a retrieval system of any nature, without the prior permission of the copyright holder, via the BGS Intellectual Property Rights Manager. Use by customers of information provided by the BGS, is at the customer's own risk. In view of the disparate sources of information at BGS's disposal, including such material donated to BGS, that BGS accepts in good faith as being accurate, the Natural Environment Research Council (NERC) gives no warranty, expressed or implied, as to the quality or accuracy of the information supplied, or to the information's suitability for any use. NERC/BGS accepts no liability whatever in respect of loss, damage, injury or other occurence however caused.

Responsible organisations

Responsible party

organisation name

University of Strathclyde

email address

not available

responsible party role

pointOfContact

Responsible party

organisation name

University of Strathclyde

email address

not available

responsible party role

principalInvestigator

Metadata on metadata

Metadata point of contact

organisation name

British Geological Survey

full postal address

The Lyell Centre, Research Avenue South

EDINBURGH

EH14 4AP

United Kingdom

telephone number

+44 131 667 1000

email address

enquiries@bgs.ac.uk

responsible party role

pointOfContact

Metadata date

2025-03-26

Metadata language