Over the past decade, photovoltaic (PV) energy systems have grown rapidly worldwide, driven by falling costs, incentive policies, and increasing demand for clean energy. This expansion of the PV market has led to a significant rise in the number and size of PV installations, as well as associated investments and risk-return dynamics. With the growing integration of PV systems into the power grid, attention to their reliability and lifespan has intensified.

Inverters are frequently identified as a failure point in PV systems and represent a critical factor in installation malfunctions. Inverter failure costs account for more than half of the total expenses of a photovoltaic system. It is therefore essential to predict the lifespan of PV inverters to reduce operating costs and develop effective maintenance strategies.

The performance of a photovoltaic inverter depends on numerous factors such as operating conditions, application, and maintenance activities, making reliability assessment complex.

This internship will focus on a data-driven approach to build inverter reliability models and develop maintenance strategies for TotalEnergies’ photovoltaic sites. The intern will collect information on inverters and create a database including failure and replacement dates. In a second phase, the goal will be to fit a lifetime model based on the available data, using, for example, a non-parametric model such as the Kaplan-Meier estimator or a simple parametric model like the Weibull distribution. Finally, the maintenance strategy will be optimized based on preventive replacement costs, unexpected failure costs, and the current age of the equipment.

Cette offre concerne un stage conventionné à temps plein, les stages alternés ne sont possibles.
 Pour postuler, merci de joindre un CV + lettre de motivation (vos dates de stage doivent être indiquées).