(778f) Modelling the Gradual Expansion of Integrated Wind-Hydrogen-Electricity Networks That Decarbonise the Domestic Transport in Great Britain By 2050

The evolution of integrated wind-hydrogen-electricity networks that satisfy the demands of the domestic transport sector is optimised using a detailed, spatially-distributed mixed integer linear programming model that accounts for hourly operational issues, such as intermittency and dynamics of energy storage, simultaneously with long-term strategic decisions.

In our previous recent work [1], the design and operation of the network were determined using representative wind speed and hydrogen demand data for a whole year, to meet the full demand for hydrogen without considering the gradual transition from the current state with no hydrogen demand. However, in reality the full network will be established over many years as the penetration of fuel cell vehicles increases. Therefore, the model presented in Samsatli et al. (2016) [1] was extended to consider staged capacity investments and retirements, such that the demands for hydrogen, based on an assumed trajectory for the penetration of fuel cell vehicles from now to 2050, are met at all times and that the net present cost of doing so is minimised, subject to the available land area for wind turbines.

The potential technologies and infrastructures that may become part of the network include wind turbines; electrolysers, fuel cells, compressors and expanders; pressurised vessels and underground storage for hydrogen storage; hydrogen pipelines and electricity overhead/underground transmission lines; and fuelling stations and distribution pipelines.

The model determines the optimal spatial structure and the gradual expansion of the integrated networks across Great Britain, i.e. the optimal combinations of conversion and storage technologies invested in at every 5-year period, where to locate them, what their capacities should be and how to connect them by means of the transmission infrastructure networks. Simultaneously with this, the model also determines the hourly operation of each technology that forms the integrated network and the interactions between hydrogen and electricity networks.

In this conference, we will discuss the model and a decomposition method that enables this very large optimisation model to be solved. We will also present some case studies to illustrate the applicability of the model to scenarios in Great Britain.

References:

[1] S. Samsatli, I. Staffell, and N.J. Samsatli. Optimal design and operation of integrated wind-hydrogen-electricity networks for decarbonising the domestic transport sector in great britain. International Journal of Hydrogen Energy, 41:447 â??475, 2016.