Efthymiadou, ME;
Charitopoulos, VM;
Papageorgiou, LG;
(2024)
Hydrogen strategic planning for heat decarbonisation under uncertainty.
In:
Computer Aided Chemical Engineering.
(pp. 2257-2262).
Elsevier
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Abstract
Heat decarbonisation is indispensable to meet Net-Zero emission target by 2050. The UK, as a world leader in reducing greenhouse gas emissions, needs to explore alternative pathways and energy carriers for the heat sector such as hydrogen. In this concept, a multi-period spatially-explicit two-stage stochastic mixed-integer linear programming (MILP) optimisation framework for hydrogen infrastructure is proposed to meet hydrogen heating demand in Great Britain. The mathematical framework aims to minimise the total cost accounting for investment and operational decisions considering 10-year steps 2030-2050 and typical days with hourly resolution. 10 scenarios are taken into account, which are selected using backward selection in GAMS-SCENRED. The results show that the stochastic approach provides a cost-efficient risk neutral infrastructure strategy to decarbonise the heat sector in the UK.
| Type: | Book chapter |
|---|---|
| Title: | Hydrogen strategic planning for heat decarbonisation under uncertainty |
| ISBN-13: | 9780443288241 |
| DOI: | 10.1016/B978-0-443-28824-1.50377-X |
| Publisher version: | https://doi.org/10.1016/B978-0-443-28824-1.50377-X |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Net-Zero; MILP Model; Two-stage Stochastic; Uncertainty; Hydrogen Infrastructure Planning; |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Chemical Engineering |
| URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10194708 |
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