Moreno-Benito, M;
Agnolucci, P;
Papageorgiou, LG;
(2017)
Towards a sustainable hydrogen economy: Optimisation-based framework for hydrogen infrastructure development.
Computers & Chemical Engineering
, 102
pp. 110-127.
10.1016/j.compchemeng.2016.08.005.
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Abstract
This work studies the development of a sustainable hydrogen infrastructure that supports the transition towards a low-carbon transport system in the United Kingdom (UK). The future hydrogen demand is forecasted over time using a logistic diffusion model, which reaches 50% of the market share by 2070. The problem is solved using an extension of SHIPMod, an optimisation-based framework that consists of a multi-period spatially-explicit mixed-integer linear programming (MILP) formulation. The optimisation model combines the infrastructure elements required throughout the different phases of the transition, namely economies of scale, road and pipeline transportation modes and carbon capture and storage (CCS) technologies, in order to minimise the present value of the total infrastructure cost using a discounted cash-flow analysis. The results show that the combination of all these elements in the mathematical formulation renders optimal solutions with the gradual infrastructure investments over time required for the transition towards a sustainable hydrogen economy.
| Type: | Article |
|---|---|
| Title: | Towards a sustainable hydrogen economy: Optimisation-based framework for hydrogen infrastructure development |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1016/j.compchemeng.2016.08.005 |
| Publisher version: | https://doi.org/10.1016/j.compchemeng.2016.08.005 |
| Language: | English |
| Additional information: | Copyright © 2016 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license(http://creativecommons.org/licenses/by/4.0/). |
| Keywords: | Hydrogen economy; Infrastructure development; Multi-period spatially-explicit MILP model; Economies of scale; Hydrogen transmission and distribution; CCS |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Chemical Engineering UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment > Bartlett School Env, Energy and Resources |
| URI: | https://discovery.ucl.ac.uk/id/eprint/1573462 |
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