Heat Flow in Complex Minewater Geothermal Systems (Studentship 2) – Digital Twin for Integration of Minewater Resources into Engineering Systems (“Studentship”)

Burnside, Neil (Principal Investigator)
Shipton, Zoe (Co-investigator)

Energy
Civil And Environmental Engineering

Project: Research - Studentship

Status	Active
Effective start/end date	1/10/21 → 31/03/25

Funding

Cowi UK Limited
DATALAB (SFC Innovation Centre, administered by the University of Edinburgh): £23,637.76

UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):

1 Paper

Initial observations from machine learning approaches using UK temperature data for mine water thermal (MWT)
Jack, S. F., Burnside, N. M., Hirst, C. M., Mehrabi, S. & Shipton, Z. K., 15 Sept 2023. 10 p.
Research output: Contribution to conference › Paper › peer-review

Open Access
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Heat Flow in Complex Minewater Geothermal Systems (Studentship 2) – Digital Twin for Integration of Minewater Resources into Engineering Systems (“Studentship”)

Project Details

Funding

UN Sustainable Development Goals

Fingerprint

Initial observations from machine learning approaches using UK temperature data for mine water thermal (MWT)

Heat Flow in Complex Minewater Geothermal Systems (Studentship 2) – Digital Twin for Integration of Minewater Resources into Engineering Systems (“Studentship”)

Project Details

Funding

UN Sustainable Development Goals

Fingerprint

Research output

Initial observations from machine learning approaches using UK temperature data for mine water thermal (MWT)