Currently, the model calculates capital cost in the same way for all methods of production. However, the input term capital_usd_coefficient (m.prod_cost_capital_coeff in the model) has units of $/ton, which is not a typical parameter for describing electrolysis/other electric methods of hydrogen production.
As it stands, the current way of calculating the capital cost of a producer is
.
The value prod_cost_capital_coeff is known for thermal production, but it has to be calculated for electric production. The units are dollar/Ton, but for electric production, we would like dollar/kW We will calculate electric production prod_cost_capital_coeff with the following:
.
Where
prod_cost_capital_coeff[$-day/ton H2]: daily cost of the amortized overnight capital costs for building the production facility
CapEx Factor[$/kW]: overnight capital cost of building the facility on a per production unit basis
kWh_coefficient[kWh/ton H2]: amount of electricity required to produce one ton of hydrogen
time_slices[days/yr]: number of days in a year used to take the annualized factors to a daily basis
utilization[%]: utilization of the production facility meant to represent what fraction of the year the facility is actually operating
The primary issue with the old method of calculating capital costs was that, if utilization of an electrolyzer is changed (say, in Monte Carlo simulation), the capital cost coefficient would not change accordingly. Now, for electric production, the coefficient will be a function of both the new capEx_factor_$_per_kW and utilization.
Implementation requires a few steps:
Split production.csv into thermal_production.csv and electric_production.csv
Change capital_usd_coefficient row to capEx_factor_$_per_kW
Adjust HydrogenInputs class so that it can read the two new files
Calculate the new prod_cost_capital_coeff for electric production (based on the above equation) in create_graph.py
Side task: change create_plot.py so that the only colors for hubs on the map are for 1) thermal production 2) electric production 3) no production. Remove the distinguishment between SMR and SMR existing.
Currently, the model calculates capital cost in the same way for all methods of production. However, the input term
capital_usd_coefficient(m.prod_cost_capital_coeffin the model) has units of $/ton, which is not a typical parameter for describing electrolysis/other electric methods of hydrogen production.As it stands, the current way of calculating the capital cost of a producer is
The value
prod_cost_capital_coeffis known for thermal production, but it has to be calculated for electric production. The units are dollar/Ton, but for electric production, we would like dollar/kW We will calculate electric productionprod_cost_capital_coeffwith the following:Where
prod_cost_capital_coeff[$-day/ton H2]: daily cost of the amortized overnight capital costs for building the production facilityCapEx Factor[$/kW]: overnight capital cost of building the facility on a per production unit basiskWh_coefficient[kWh/ton H2]: amount of electricity required to produce one ton of hydrogentime_slices[days/yr]: number of days in a year used to take the annualized factors to a daily basisutilization[%]: utilization of the production facility meant to represent what fraction of the year the facility is actually operatingThe primary issue with the old method of calculating capital costs was that, if utilization of an electrolyzer is changed (say, in Monte Carlo simulation), the capital cost coefficient would not change accordingly. Now, for electric production, the coefficient will be a function of both the new
capEx_factor_$_per_kWand utilization.Implementation requires a few steps:
production.csvintothermal_production.csvandelectric_production.csvcapital_usd_coefficientrow tocapEx_factor_$_per_kWHydrogenInputsclass so that it can read the two new filesprod_cost_capital_coefffor electric production (based on the above equation) increate_graph.pycreate_plot.pyso that the only colors for hubs on the map are for 1) thermal production 2) electric production 3) no production. Remove the distinguishment between SMR and SMR existing.