Capacity Expansion Model for H2 and Power Investment Decisions
P2H_CapacityExpansion is a julia implementation of an input-data scaling capacity expansion modeling framework.
The primary purpose of this model is to serve as a baseline model for a surrogate model. Specifically, the following workflow is defined:
The model can be seen as a simplified version of the energy system model GENeSYS-MOD. To better make use of Julia's capabilities, the general structure and modeling are inspired by the power sector model CapacityExpansion.jl.
The dispatch module, which will be approximated by a data-driven approach, can be described as follows:
The technology data is based on the EU-funded Man0EUvRE project. The corresonding data and data sources are available on git. The annual hydrogen demand for each country was obtained from the European Hydrogen Backbone report [1]. The inflow profiles and hydropower storage capacities were taken from the latest TYNDP report. The weekly inflow profiles are based on the weather year 2016. The hourly capacity factors for solar PV, offshore and onshore wind are obtained from renewables.ninja [2,3,4], a widely recognized open-access platform that derives its estimates from NASA’s MERRA-2 reanalysis data. Furthermore, we use hourly electricity demand data using the ENTSO-E API [4]. These time-series are based on the weather year 2020.
[1] European Hydrogen Backbone. (2022). A European hydrogen infrastructure vision covering 28 countries. https://ehb.eu/files/downloads/ehb-report-220428-17h00-interactive-1.pdf
[2] I. Staffell, S. Pfenninger, Using bias-corrected reanalysis to simulate current and future wind power output, Energy 114 (2016) 1224–1239. doi:https://doi.org/10.1016/j.energy.2016.08.068.
[3] Renewables.ninja, https://renewables.ninja, accessed: Jul. 11, 2024.
[3] S. Pfenninger, I. Staffell, Long-term patterns of european pv output using 30 years of validated hourly reanalysis and satellite data, Energy 114 (2016) 1251–1265. doi:10.1016/j.energy.2016.08.060.
[4] EnergieID, entsoe-py, https://github.com/EnergieID/entsoe-py, accessed: 2025-01-09 (2025).