SHIPMod (Spatial Hydrogen Infrastructure Planning Model) is a spatially-detailed supply chain and infrastructure optimisation model that uses mixed-integer linear programming. Given a scenario of hydrogen uptake, the model identifies the cheapest way of meeting that demand. It includes representation of a number of centralised and decentralised hydrogen production technologies, gaseous and liquid hydrogen distribution, refuelling stations and CCS pipelines.
SHIPMod has been used to show the cost differences between meeting spatially clustered demand focused on early demand centres, versus more diffuse demand spread evenly around the country.
|Type:||Mixed-integer linear programming infrastructure optimisation model|
|Purpose:||Examine the optimal configuration of technologies to supply hydrogen for road transport|
|Spatial scale:||UK divided into 33 regions|
|Temporal scale:||Five year time steps, 2020-2050|
|Main contact:||Paolo Agnolucci|
|Other contacts:||Will McDowall, Lazaros Papageorgiou|
The model is fully described in Agnolucci et al. (submitted); see below for more details.
Agnolucci P. and McDowall W. (2013) Designing future hydrogen infrastructure: Insights from analysis at different spatial scales. International Journal of Hydrogen Energy, 38 (13), 5181-5191.
Agnolucci P., McDowall W., Akgul O. and Papageorgiou L. G. (2013) 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). International Journal of Hydrogen Energy, 38 (26), 11189-11201.