def upgradeGrassProducts(size, conv_IO_array):
return_array = UF.createEmptyFrame()
forestry_vals = forestry_upgr_in
forestry_out = forestry_upgr_out
in_list = upgr_in_list
out_list = upgr_out_list
match_list = [[UF.input_or_output, D.tl_output],
[UF.substance_name, 'Woody Biomass']]
grass_biomass_out_qty = UF.returnPintQty(conv_IO_array, match_list)
scaling_param = size.qty * (grass_biomass_out_qty /
(size.qty * D.forestry_woody_biomass_val.qty))
row_count = 0
for substance in in_list:
pint_qty = scaling_param * forestry_vals[substance].qty
return_array.loc[row_count] = UF.getWriteRow(substance, D.upgrading,
D.tl_input, pint_qty)
row_count += 1
for substance in out_list:
pint_qty = scaling_param * forestry_out[substance].qty
return_array.loc[row_count] = UF.getWriteRow(substance, D.upgrading,
D.tl_output, pint_qty)
row_count += 1
return return_array
def convertGrassBiomass(size, biomass_IO_array):
return_array = UF.createEmptyFrame()
forestry_vals = forestry_cited_values_dict
forestry_out = forestry_out_vals
in_list = conv_in_list
out_list = conv_out_list
match_list = [[UF.input_or_output, D.tl_output],
[UF.substance_name, 'Woody Biomass']]
grass_biomass_out_qty = UF.returnPintQty(biomass_IO_array, match_list)
scaling_param = size.qty * (grass_biomass_out_qty/
(size.qty * D.forestry_woody_biomass_val.qty))
# special write of woody biomass
return_array.loc[0] = UF.getWriteRow('Woody Biomass', D.conv,
D.tl_input, grass_biomass_out_qty)
row_count = 1
for substance in in_list:
pint_qty = scaling_param*forestry_vals[substance].qty
return_array.loc[row_count] = UF.getWriteRow(substance, D.conv,
D.tl_input, pint_qty)
row_count += 1
for substance in out_list:
pint_qty = scaling_param*forestry_out[substance].qty
return_array.loc[row_count] = UF.getWriteRow(substance, D.conv,
D.tl_output, pint_qty)
row_count += 1
return return_array
def growGrassForOneYear(size, biomass_output):
return_array = UF.createEmptyFrame()
crop_inputs = grass_inputs_dict
crop_outputs = grass_outputs_dict
# Calculate Atmospheric CO2 based on biomass output
return_array.loc[0] = UF.getWriteRow(
'Atmospheric CO2', D.biomass_production, D.tl_input,
biomass_output.qty * size.qty * D.CO2_fixing_proportion_grass.qty)
# special write of woody biomass
return_array.loc[1] = UF.getWriteRow('Woody Biomass', D.biomass_production,
D.tl_output,
biomass_output.qty * size.qty)
row_count = 2
# Scale crop inputs
for key in crop_inputs:
pint_qty = size.qty * crop_inputs[key].qty
return_array.loc[row_count] = UF.getWriteRow(key, D.biomass_production,
D.tl_input, pint_qty)
row_count += 1
# Scale crop outputs
for key in crop_outputs:
pint_qty = size.qty * crop_outputs[key].qty
return_array.loc[row_count] = UF.getWriteRow(key, D.biomass_production,
D.tl_output, pint_qty)
row_count += 1
return return_array
def main():
land_area_val = D.TEA_LCA_Qty('Land Area', 100, 'hectare')
biomass_output = D.TEA_LCA_Qty('Woody Biomass', 8960, 'kg/yr/ha')
biomass_IO_array = UF.createEmptyFrame()
biomass_IO_array.loc[0] = UF.getWriteRow('Woody Biomass', D.biomass_production,
D.tl_output, biomass_output.qty*land_area_val.qty)
return convertGrassBiomass(land_area_val, biomass_IO_array)