Dataset for "Conjugated Numerical Approach for Modelling DBHE in High Geothermal Gradient Environments"

dc.contributor.authorVerdin, Patrick
dc.contributor.authorRenaud, Théo
dc.contributor.authorFalcone, Gioia
dc.date.accessioned2024-05-27T06:25:00Z
dc.date.available2024-05-27T06:25:00Z
dc.date.issued2020-12-07 09:10
dc.description.abstractNumerical data corresponding to the journal paper entitled: "Conjugated Numerical Approach for Modelling DBHE in High Geothermal Gradient Environments"
dc.description.sponsorshipUK Engineering and Physical Sciences Research Council (EPSRC) [EP/N509450/1, 1878602.
dc.identifier.citationVerdin, Patrick; Renaud, Théo; Falcone, Gioia (2020). Dataset for "Conjugated Numerical Approach for Modelling DBHE in High Geothermal Gradient Environments". Cranfield Online Research Data (CORD). Dataset. https://doi.org/10.17862/cranfield.rd.13333892
dc.identifier.doi10.17862/cranfield.rd.13333892
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/21695
dc.publisherCranfield University
dc.relation.referenceshttps://doi.org/10.3390/en13226107'
dc.rightsCC BY 4.0
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subject'CFD modeling approach'
dc.subject'Renewable Energy Technologies'
dc.subject'Deep wellbore heat exchanger modelling'
dc.subject'Geothermal Energy'
dc.subject'Computational Fluid Dynamics'
dc.subject'Computer Engineering'
dc.subject'Renewable Power and Energy Systems Engineering (excl. Solar Cells)'
dc.subject'Energy Generation
dc.subjectConversion and Storage Engineering'
dc.titleDataset for "Conjugated Numerical Approach for Modelling DBHE in High Geothermal Gradient Environments"
dc.typeDataset

Files

Original bundle
Now showing 1 - 5 of 5
No Thumbnail Available
Name:
data_description-13333892.txt
Size:
316 B
Format:
Plain Text
No Thumbnail Available
Name:
data1-13333892.csv
Size:
15.23 KB
Format:
Unknown data format
No Thumbnail Available
Name:
data2-13333892.csv
Size:
219.46 KB
Format:
Unknown data format
No Thumbnail Available
Name:
data3-13333892.csv
Size:
24.92 KB
Format:
Unknown data format
No Thumbnail Available
Name:
data4-13333892.csv
Size:
22.29 KB
Format:
Unknown data format