A MATLAB-based optimisation framework for designing and operating energy hubs that combine renewable energy sources with Power-to-X (PtX) technologies for synthetic fuel production.
The core of the project is the energyHub_LUT.m function. Before running the function, you need to prepare the input data:
- profiles: A structure containing hourly capacity factors for renewable energy sources. This typically includes 8760 data points for a full year.
- profiles.wind: Wind power capacity factors [8760x1]
- profiles.pvo: PV fixed-tilt capacity factors [8760x1]
- profiles.pva: PV single-axis tracking capacity factors [8760x1]
- profiles.wave: Wave power capacity factors [8760x1]
- assumptionsTable: A MATLAB table containing technology cost data, efficiencies, and technical parameters as in the "Financial and Technical Assumptions.xlsx" file
- nh3_demand: Annual ammonia demand [MWh/year]
- ch4_demand: Annual synthetic methane demand [MWh/year]
- meoh_demand: Annual methanol demand [MWh/year]
- ft_demand: Annual Fischer-Tropsch liquid demand [MWh/year]
- wavePotential: Maximum available wave energy capacity [MW]
- landArea: Available land area for onshore renewables [km²]
Example usage is shown in setup_energyHub_LUT.m file.
If you use energyHub-LUT for your research, we’d appreciate it if you could cite this paper:
Satymov, R., Bogdanov, D., Lavidas, G., Pennock, S., Kluge, S., Lehner, B., Breyer, C., 2026. Wave power for e-fuels and e-chemicals production: technical feasibility, economic viability, and regional opportunities. Energy 356, 141252. https://doi.org/10.1016/j.energy.2026.141252