Closed akalikadien closed 1 year ago
Use data of 2016 and 2017 as a starting point for this (since rainfall in 2017 has shown to be highest, which is similar to the conditions in 2019)
Initial approach was pushed in https://github.com/akalikadien/shell-ai-hackaton-2023/commit/fbf3cdf4181b75b382f002258efa326e1a27243a, but the solver returns that the problem is infeasible at the moment. Needs fix in constraints and cost functions I think...
Create framework for placement of depots & biorefineries that takes data for 2 years as input, solves the optimization problem of our cost functions and returns the locations and the pellet/biomass flow