I have to run a montecarlo where, for some products, certain exchanges are relate to each other in the sense that my process can take as input any of the products in different (bounded) proportions but with fixed sum.
Example:
my product a takes as inputs a total of 10 kg of x,y, and z alltogheter and x has a uniform distribution that goes from 0 to 4 kg, y from 1 to 6 and z from 3 to 8 with their sum that must be equal to 10. So, every iteration I would need to get a random number for my three exchanges within their bounds making sure that their sum is always 10.
I have seen that in stats_array it is possible to set the bounds of the distributions and thus create values in a specified interval but this would not ensure that the sum of my random vector equals the fixed sum of 10.
Wondering if there is already a (relatively) straightforward way to implemented this in bw2
Otherwise the only way I see this feasible is to create all the uncertainity parameters with ParameterVectorLCA, tweak the value in the array for those products that must meet the aforementioned requirements (e.g with something like this or this) and then use this array with modified parameters to re-run my MC .
