Electrolyzer_Plugin¶

Classes:

Electrolyzer_Plugin(dcf, print_info)

Simulation of hydrogen production using electrolysis.

Functions:

`calculate_electrolyzer_power_demand`(...)	Calculation of yearly increase in electrolyzer power demand.
`calculate_hydrogen_production`(...)	Calculation of hydrogen production based on power consumption, conversion efficiency and power increase.
`calculate_stack_replacement`(operation_hours, ...)	Calculation of stack replacement frequency for electrolyzer.

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

Simulation of hydrogen production using electrolysis.

Parameters:

Financial Input Values > Construction time > Valueint: Construction time of hydrogen production plant in years.
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. Dimensioless 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 before stack replacement of electrolyzer is required.
Power Generation > Available energy (hourly) > Valuedict: Available energy, hourly basis, dictionary of years.

Returns:

Technical Operating Parameters and Specifications > Design output by year > Valuend.array: Design output by year calculated from installed electrolysis power capacity and hourly power generation data.
Technical Operating Parameters and Specifications > Operating capacity factor > Valuefloat: Operating capacity factor is set to 1.
Electrolyzer > Actual stack replacement time > Valuefloat: Actual stack replacement time, calculated from replacement time and operation data.
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 > Available energy (hourly) > Valuedict: Available energy (hourly) after subtracting power consumed by electrolyzer. (dictionary of years).
Power Generation > Available energy (daily) > Valuedict: Available power (daily) after subtracting power consumed by electrolyzer.

Methods:

calculate_H2_production(dcf)

Using hourly power generation data and electrolyzer parameters, H2 production is calculated.

calculate_H2_production(dcf)[source]¶: Using hourly power generation data and electrolyzer parameters, H2 production is calculated.

pyH2A.Plugins.Electrolyzer_Plugin.calculate_electrolyzer_power_demand(power_requirement_increase, nominal_power, year)[source]¶: Calculation of yearly increase in electrolyzer power demand.

pyH2A.Plugins.Electrolyzer_Plugin.calculate_hydrogen_production(energy_consumption, conversion_efficiency, power_increase_ratio)[source]¶: Calculation of hydrogen production based on power consumption, conversion efficiency and power increase.

pyH2A.Plugins.Electrolyzer_Plugin.calculate_stack_replacement(operation_hours, replacement_time)[source]¶: Calculation of stack replacement frequency for electrolyzer.