Decision support for the deployment of hydrogen technologies at the scale of a territory - Raw dataset

<p>This dataset was created to run a capacity expansion model developed in the context of my thesis, 'Decision support for the deployment of hydrogen technologies at the scale of a territory'. Here are the raw data from which every parameter of the model is derived. The code of the model can be found in open source here:&nbsp;<a href="https://github.com/Anaelle-Mines/SPHYDERS">SPHYDERS</a>.</p> <p>The set includes:</p> <p>-The hourly electricity consumption in France for year 2019.</p> <p>-The hourly natural gas prices in France for year 2019.</p> <p>-The hourly grid electricity prices in France for year 2019.</p> <p>-The average hourly availability factors of different electricity production technologies in France for year 2019 (nuclear plants, onshore wind turbines, offshore wind turbines, solar PV, gas turbines, H2 turbines, hydraulic turbines, coal plants etc...).</p> <p>-The local availability factors of different electricity and hydrogen production technologies in PACA region for year 2019 (onshore wind turbines, offshore wind turbines, solar PV, methane reforming reactors, electrolysers).</p> <p>-The off-peak time calendar for various contracts with the grid operator.</p> <p>-The techno-economic data for all the technologies of the model (CAPEX, OPEX, life time)</p> <p>&nbsp;</p>