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)

作     者：Agnolucci, Paolo Akgul, Ozlem McDowall, William Papageorgiou, Lazaros G. 

作者机构：UCL UCL Inst Sustainable Resources London WC1H 0NN England UCL Ctr Proc Syst Engn London WC1E 7JE England 

出 版 物：《INTERNATIONAL JOURNAL OF HYDROGEN ENERGY》 (Int J Hydrogen Energy)

年 卷 期：2013年第38卷第26期

页      面：11189-11201页

核心收录：

学科分类：0820[工学-石油与天然气工程] 08[工学] 0807[工学-动力工程及工程热物理] 0703[理学-化学] 

基　　金：EPSRC [EP/E040071/1] EPSRC [EP/J016454/1, EP/E040071/1] Funding Source: UKRI 

主　　题：Hydrogen supply chains Mixed-integer linear programming Infrastructure optimisation modelling 

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.