Stored_Power_Electrolysis_Plugin

Classes:

Stored_Power_Electrolysis_Plugin(dcf, print_info)

Simulation of hydrogen production using electrolysis.

class pyH2A.Plugins.Stored_Power_Electrolysis_Plugin.Stored_Power_Electrolysis_Plugin(dcf, print_info)[source]

Simulation of hydrogen production using electrolysis.

Parameters:
Electrolysis Using Stored Power > Fraction of stored power used for electrolysis > Valuefloat

Fraction of stored power used for electrolysis.

Electrolyzer > Nominal power > Valuefloat

Nominal power of electrolyzer.

Electrolyzer > Power requirement increase per year > Valuefloat

Electrolyzer power requirement increase per year due to stack degradation. Dimensionless value > 0. Increase calculated as: (1 + increase per year) ^ year.

Electrolyzer > Minimum capacity > Valuefloat

Minimum capacity required for electrolyzer operation. Dimensionless value between 0 and 1.

Electrolyzer > Hydrogen yield per unit energy > Valuefloat

Electrical conversion efficiency of electrolyzer in (mass H2)/energy.

Electrolyzer > Replacement time > Valuefloat

Operating time in hours before stack replacement of electrolyzer is required.

Electrolyzer > Yearly operation data > Year_Valuend.array

Yearly operation data of electrolyzer : year.

Electrolyzer > Yearly operation data > Production_Valuend.array

Yearly operation data of electrolyzer : H2 produced during the year.

Electrolyzer > Yearly operation data > Duration_Valuend.array

Yearly operation data of electrolyzer : duration of operation during the year.

Electrolyzer > H2 production (yearly) > Valuend.array

Yearly hydrogen production.

Power Generation > Stored energy (daily) > Valuedict

Energy stored in battery daily (dictionary of years).

Returns:
Technical Operating Parameters and Specifications > Design output by year > Valuend.array

Design output of H2 calculated from installed electrolysis power capacity and hourly power generation data.

Electrolyzer > Actual stack replacement time > Valuefloat

Actual stack replacement time, calculated from replacement time and operation data.

Power Consumption > Stored energy electrolysis (yearly) > Valuend.array

Electricity demand of electrolysis using stored energy per year.

Power Consumption > Stored energy electrolysis (yearly) > Typestr

Type of power consumer, type is ‘on_demand’ (only uses stored power).

Methods:

calculate_H2_production(dcf)[source]