This repository contains the source of ERMESS, a Python optimization tool derived from evolutionnary algorithms, with the goal of finding the optimal design of microgrid energy systems.
Main contributor: Josselin Le Gal La Salle
Complete documentation available here :
No need to install anything !
- Go to "Releases"
- Download ERMESS_Pro.exe
- Open the file and click on the ERMESS.exe file
- Follow the instructions
ERMESS_Pro.py : runs the PRO optimization mode (Basic Usage/Examples/Experiments).
ERMESS_Research.py : runs the RESEARCH optimization mode (Large-scale Experiments).
cost : Cost model and objective functions
energy_management_model : dispatching simulation package
energy_production_model : package for computation of REN production systems
evolutionnary_core : optimization model based on genetic algorithm
load_model : package for computation of loads
reporting : functions used for output, reporting and display
Excel file named "inputs_ERMESS_Pro.xlsx".
Data needed in this file :
Constraint, Constraint level, Optimisation criterion, installable production units characteristics (Capital unit cost, operational unit cost, Lifetime, Capacity, eqCO2 emissions, EROI), installable storage technologies
Timeseries : Current production (if applicable), Critic load, Daily movable load, Yearly movable load, production unit
If applicable : Main grid emissions, Main grid fossil fuel ratio, Main grid ratio primary over final energy, available trading contracts with detailed prices
Please follow the example file given in this folder
Excel file named "output_ERMESS_end.xlsx".
DOI : https://doi.org/10.51257/a-v1-in199
