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Hi all

I am trying to do a global sensitivity analysis/perturbation analysis in OpenLCA, where all parameters need to have their values individually changed 10% to see the impact on the final result. However, this is very tedious work, so I was wondering if it possible to do automatically in OpenLCA in some way? Possibly using Python?
in openLCA by (210 points)

1 Answer

+1 vote
by (90k points)
Hi, interesting question, this would work in Python but another, maybe simpler option could be to make a Monte Carlo simulation, if you specify the +/- 10% as boundaries of a uniform distribution, for these parameters. Only point would be that if you are using as generic database that has already uncertainty information, this could "disturb" your analysis.
by (210 points)
How would this be possible in Python? Do you perhaps have a guide somewhere? Because I fail to see how it would be possible with either Python or using Monte Carlo simulation, as it is a One-At-A-Time (OAT) Perturbation analysis, i.e. only one value should be changed at a time.
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