NEMS
Nexeya Energy Management System controls microgrids with hybrid Li-ion batteries and a hydrogen chain (fuel cell + electrolyzer). Deployed on Linux with Docker-hosted web services; frontend in JS/Kibana, backend in C++/Python/MySQL.
Code maintenance and plugin development and deployment.
Time-series predictions using Random Forest and Kibana for the graph representation (Skforecast, timeLion, ...).
Development of an Optimal Control algorithm with a Model Predictive Controller.
ODD Sizing Tool
Desktop tool for sizing energy storage systems in microgrids. Runs full-year simulations on user-defined architectures and surfaces KPIs and costs.
Downloads real meteorological data in order to estimate the renewable energy production (PV and Wind Turbines).
Calculates the main KPIs to give a global vision of the system's performance and system's costs.
Automatically finds the best size thanks to a PSO algorithm that minimizes the CAPEx and OPEx costs.
Developed in PyQt5 as a desktop software, has a friendly and responsive Graphical User Interface (GUI).