Solar_Concentrator_Plugin#

Classes:

Solar_Concentrator_Plugin(dcf, print_info)

Simulation of solar concentration (used in combination with PEC cells).

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

Simulation of solar concentration (used in combination with PEC cells).

Parameters
Solar Concentrator > Concentration Factor > Valuefloat

Concentration factor of solar concentration, value > 1.

Solar Concentrator > Cost ($/m2) > Valuefloat

Cost of solar concentrator in $/m2.

PEC Cells > Number > Valuefloat

Number of PEC cells required for design H2 production capacity.

Land Area Requirement > South Spacing (m) > Valuefloat

South spacing of solar concentrators in m.

Land Area Requirement > East/West Spacing (m) > Valuefloat

East/West Spacing (m) of solar concentrators in m.

Non-Depreciable Capital Costs > Solar Collection Area (m2) > Valuefloat

Total solar collection area in m2.

Returns
Non-Depreciable Capital Costs > Land required (m2) > Valuefloat

Total land requirement in m2.

Non-Depreciable Capital Costs > Land required (acres) > Valuefloat

Total land requirement in acres.

Non-Depreciable Capital Costs > Solar Collection Area (m2) > Valuefloat

Total solar collection area in m2.

Direct Capital Costs - Solar Concentrator > Solar Concentrator Cost ($) > Valuefloat

Total cost of all solar concentrators.

Methods:

calculate_cost(dcf)

Calculation of solar concentrator cost based on cost per m2 and total solar collection area.

land_area(dcf)

Calculation of solar collection area by multiplying concentration factor by supplied (unconcentrated) solar collection area.

calculate_cost(dcf)[source]#

Calculation of solar concentrator cost based on cost per m2 and total solar collection area.

land_area(dcf)[source]#

Calculation of solar collection area by multiplying concentration factor by supplied (unconcentrated) solar collection area. Calculation of total land area requirement based on number of PEC cells and spacing of solar concentrators.