Imagine a smarter 'translator' for solar panels that turns sunlight into electricity more efficiently and with less waste. It uses advanced materials to keep the equipment small and cool while acting like a shock absorber for the power grid to prevent crashes. It also creates a digital twin, which is like a virtual mirror of the hardware, to predict when it needs repairs before it actually breaks.
Conventional full-bridge inverters lack the efficiency and flexibility needed for massive solar integration, often causing grid instability and high energy waste.
A smart multilevel inverter using SiC and GaN devices combined with Digital Twin software for predictive monitoring.
If you are a solar farm operator dealing with energy loss and grid instability — this project developed a smart multilevel inverter that improves energy yield and provides synthetic inertia to stabilize the grid.
If you are a manufacturer dealing with bulky, inefficient inverter designs — this project developed a topology using SiC and GaN devices that increases power density and efficiency.
If you are a software provider dealing with unpredictable PV data — this project developed Digital Twins and real-time data models for predictive monitoring and optimal dispatch.
Based on available project data, specific pricing or cost figures are not provided.
Yes, the project specifically extends technology from single-phase to three-phase medium-voltage systems for broader industrial application.
Based on available project data, the specific licensing model is not mentioned, though it involves a consortium of 16 partners.
The project includes robust ride-through, anti-islanding functionalities, and EMI mitigation to meet grid standards.
The project period runs from 2026-06-01 to 2029-11-30, suggesting availability toward the end of 2029.
The project is heavily industry-driven, with 11 out of 16 partners coming from the commercial sector (69% industry ratio). This strong industrial presence, including 4 SMEs across 9 countries, suggests a high focus on commercial viability and practical application rather than purely academic research.
Contact the Technical University of Delft (TU Delft) in the Netherlands.
Contact us to connect with the PiVot consortium for early adoption opportunities.
