The importance of economies of scale, transport costs and demand patterns in optimising hydrogen fuelling infrastructure: An exploration with SHIPMod (Spatial hydrogen infrastructure planning model)

被引:61
作者
Agnolucci, Paolo [1 ]
Akgul, Ozlem [2 ]
McDowall, William [1 ]
Papageorgiou, Lazaros G. [2 ]
机构
[1] UCL, UCL Inst Sustainable Resources, London WC1H 0NN, England
[2] UCL, Ctr Proc Syst Engn, London WC1E 7JE, England
基金
英国工程与自然科学研究理事会;
关键词
Hydrogen supply chains; Mixed-integer linear programming; Infrastructure; optimisation modelling; OPTIMIZATION; TRANSITION; DESIGN;
D O I
10.1016/j.ijhydene.2013.06.071
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
Hydrogen is widely recognised as an important option for future road transportation, but a widespread infrastructure must be developed if the potential for hydrogen is to be achieved. This paper and related appendices which can be downloaded as Supplementary material present a mixed-integer linear programming model (called SHIPMod) that optimises a hydrogen supply chains for scenarios of hydrogen fuel demand in the UK, including the spatial arrangement of carbon capture and storage infrastructure. In addition to presenting a number of improvements on past practice in the literature, the paper focuses attention on the importance of assumptions regarding hydrogen demand. The paper draws on socio-economic data to develop a spatially detailed scenario of possible hydrogen demand. The paper then shows that assumptions about the level and spatial dispersion of hydrogen demand have a significant impact on costs and on the choice of hydrogen production technologies and distribution mechanisms. Copyright (C) 2013, The Authors. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:11189 / 11201
页数:13
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