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While I was running driver_drake(), this error message came out. It seems that it was a bug in module_energy_LA125.hydrogen, right? Really appreciate any help. I have been stuck here for a while.
Hello GCAM team, I am new to gcam learning.
While I was running driver_drake(), this error message came out. It seems that it was a bug in module_energy_LA125.hydrogen, right? Really appreciate any help. I have been stuck here for a while.
BTW, I ran the gcam 7.0 on github desktop with https://github.com/JGCRI/gcamdata.git.
Thank you!!
Error: target module_energy_LA125.hydrogen failed.
diagnose(module_energy_LA125.hydrogen)$error$message:
'arg' should be one of “down”, “up”
diagnose(module_energy_LA125.hydrogen)$error$calls:
gcamdata:::module_energy_LA125.hydrogen("MAKE", c(energy.H2A_IO_coef_data,
energy.H2A_NE_cost_data, energy.H2A_electrolyzer_NEcost_CF,
L223.GlobalTechCapital_elec, L223.GlobalTechEff_elec))
coal_chem_costs_scaled %>% complete(nesting(sector.name, subsector.name,
technology, minicam.non.energy.input), year = sort(unique(c(year,
MODEL_BASE_YEARS, MODEL_FUTURE_YEARS)))) %>% arrange(sector.name,
subsector.name, technology, minicam.non.energy.input, year) %>%
group_by(sector.name, subsector.name, technology, minicam.non.energy.input) %>%
mutate(improvement_rate = (1 - improvement_to_2040[year ==
2015])^(1/(2040 - 2015)) - 1, min_cost = value[year ==
2015] * (1 - max_improvement[year == 2015]), cost = if_else(year <=
2015, val
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