Closed PascalLesage closed 6 years ago
The following MatrixPresample was created for a coal power plant with a technosphere exchange combustion_coal_input and an emission combustion_CO2_emissions :
combustion_coal_input
combustion_CO2_emissions
combustion_coal_sample = combustion_coal_input.random_sample(1000).reshape(1, -1) combustion_CO2_sample = combustion_coal_sample * CO2_per_kg_coal combustion_corr_matrix_presample_A = ( combustion_coal_sample, [(combustion_coal_input['input'], combustion_coal_input['output'], 'technosphere')], 'technosphere' ) combustion_corr_matrix_presample_B = ( combustion_CO2_sample, [(combustion_CO2_emissions['input'], combustion_CO2_emissions['output'], 'biosphere')], 'biosphere' ) combustion_corr_id, combustion_corr_fp = create_presamples_package( matrix_presamples=[ combustion_corr_matrix_presample_A, combustion_corr_matrix_presample_B ] ) combustion_MC_correlated = MonteCarloLCA( {combustion:1}, method=('IPCC 2013', 'climate change', 'GWP 100a'), presamples=[combustion_corr_fp] )
The matrix elements for these two exchanges, returned by next(combustion_MC_correlated were not correlated as expected.
next(combustion_MC_correlated
Fixed.
The following MatrixPresample was created for a coal power plant with a technosphere exchange
combustion_coal_input
and an emissioncombustion_CO2_emissions
:The matrix elements for these two exchanges, returned by
next(combustion_MC_correlated
were not correlated as expected.