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I am using the current master branch or the latest release. Please indicate.
I am running on an up-to-date pypsa-eur environment. Update via conda env update -f envs/environment.yaml.
Describe the Bug
We currently assume in the configMWh_H2_per_tNH3_electrolysis: 6.5 to get the hydrogen demand based on paper. But it seems like they calculated with the efficiency of electrolysis of 66% which we shouldn't do since we add the hydrogen and not the electricity demand to the model.
I would suggest switching to the values from the technology-data of
Haber-Bosch hydrogen-input 1.1484 MWh_H2/MWh_NH3 DECHEMA 2017: DECHEMA: Low carbon energy and feedstock for the European chemical industry (https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry.pdf), pg. 57. 178 kg_H2 per t_NH3, LHV for both assumed.
which would result in 1.1484 MWh_H2/MWh_NH3 = ~5.95 MWh_H2/t_NH3 with 1 MWh_NH3 = 0.193 t
Checklist
master
branch or the latest release. Please indicate.pypsa-eur
environment. Update viaconda env update -f envs/environment.yaml
.Describe the Bug
We currently assume in the config
MWh_H2_per_tNH3_electrolysis: 6.5
to get the hydrogen demand based on paper. But it seems like they calculated with the efficiency of electrolysis of 66% which we shouldn't do since we add the hydrogen and not the electricity demand to the model.I would suggest switching to the values from the technology-data of
which would result in 1.1484 MWh_H2/MWh_NH3 = ~5.95 MWh_H2/t_NH3 with 1 MWh_NH3 = 0.193 t
@fneum Or am I missing something here?
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