oemof-moea

Coupling of the oemof framework to a Multi-Objective Evolutionary Algorithm

Requirements

• Oemof==0.2.3
• Gurobi or other solvers (cbc, glpk..)

How to run the example of the Italian energy system (with 8 processes in parallel):

• open the Anaconda command prompt
• T:
• cd path_of_your_directory
• python Simulation_function.py

Input of the model:

• scenario2015.xlsx, the baseline of the Italian energy system 2015 in the Oemof input file (of the excel_reader example)
• Dati_Costi.xlsx
• DatiFuel.xlsx

Output of the model:

• SCENARIOS.xlsx where each row is a different evaluated scenario and the last two columns are the chosen objectives of the optimization