multiobjective stochastic storage design of rainwater harvesting
Alireza Shefaei
A multi-objective stochastic optimization approach for sizing the storage of a rainwater harvesting system is presented, considering climate and demand uncertainty. The aim is to maximize system efficiency and minimize cost while satisfying all flow equations, besides incorporating a risk measure to hedge against dry years and high demand. Julia's JuMP and MultiObjectiveAlgorithms packages are used for modeling and solving the problem. The model is verified by data from a garden in Amsterdam.
Earth and climate science in Julia: Power to the user
While Loop (4.2)