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Details of Grant 

EPSRC Reference: EP/T022930/1
Title: Hydrogen Infrastructure Uncertainty Management for Heat Decarbonisation
Principal Investigator: Papageorgiou, Professor L
Other Investigators:
Reiner, Professor D Charitopoulos, Dr V
Researcher Co-Investigators:
Project Partners:
Baringa Partners LLP Committee on Climate Change Johnson Matthey
Keylogic National Grid
Department: Chemical Engineering
Organisation: UCL
Scheme: Standard Research
Starts: 01 April 2021 Ends: 31 March 2025 Value (£): 1,583,260
EPSRC Research Topic Classifications:
Sustainable Energy Networks Sustainable Energy Vectors
EPSRC Industrial Sector Classifications:
Energy
Related Grants:
Panel History:
Panel DatePanel NameOutcome
13 Feb 2020 Decarbonising Heat Announced
Summary on Grant Application Form
The goal of the HUMAN project is to provide the first systematic analysis on the cost of uncertainties related to the hydrogen-led decarbonisation of heat. Sustainable decarbonisation pathways require uncertainty-resilient policies. These policies can be informed by acknowledging proactively the uncertainties inflicted by technology performance, volatility in heat demand and socio-economic fluctuations. With the power sector becoming increasingly reliant on intermittent renewable sources and the Government's commitment to "Net-Zero" by 2050, the role of hydrogen towards heat decarbonisation and the related uncertainties need to be urgently explored. The project considers strategic and operational decisions related to the deployment of a hydrogen-led system and its interaction with the power grid across multiple spatial and temporal scales. Employing the tools developed within the project the optimal mix of electrification and hydrogen-based decarbonisation of heat will be explored at a UK-wide level. Using novel uncertainty modelling methods, the impact of uncertainties related to the heat sector and the hydrogen production technologies will be analysed to derive uncertainty-informed transition pathways. Finally, HUMAN proposes to disseminate an open-source platform with user-friendly interface to enhance interpretability among energy policy practitioners and enable the investigation of alternative uncertainty-informed scenarios for heat decarbonisation.
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