Kind of infrastructure
Singular equipments
Typology
Testing /metrology/ processes
University
Zaragoza (UNIZAR)
Hubs
Green Energies
Application / Industrial sector
Energy & environment
Description of equipment
Open-source MPPT tracker specifically designed for perovskite solar cells with high hysteresis. Innovative galvanostatic approach regulates current instead of voltage, achieving up to 200% improvement in power extraction efficiency compared to conventional methods. Reprogrammable with custom MPPT algorithms. Validated under real outdoor conditions.
Location
Institute
Instituto de Nanociencia y Materiales de Aragón (INMA)
Features
Prerequisites
Photovoltaic devices with accessible electrical contacts. Devices with Voc range from 0.8 V (single cells) to >100 V (modules). Basic knowledge of MPPT operation for algorithm customization.
Technicians
Dr. Emilio J. Juarez-Perez (Developer & Principal Investigator)
Equipment list
Perovskino MPPT unit, thermistors for thermal monitoring, connection cables, power supply, data logging interface.
Available measurements
Maximum power point tracking (galvanostatic approach), continuous power output monitoring, device temperature monitoring, current and voltage at MPP, long-term stability tracking.
Sample preparation
Devices must have accessible and stable electrical contacts. Active area should be defined and documented. Initial J-V characterization recommended before MPPT testing.
Deployment of the results
Real-time data acquisition. Raw data files for custom analysis. Compatible with standard data processing software.
Approximate time for the results
Immediate tracking from device connection. Stability studies typically run 100-1000+ hours depending on research objectives.
Price list
Upon request. Open-source hardware and software available for self-assembly (GitHub: github.com/ej-jp/perovskino).
Possibility of on-site measurements
Yes. Compact and portable design suitable for laboratory or outdoor deployment.
Other relevant information
Published in Cell Reports Physical Science, 5, 101885 (2024). DOI: 10.1016/j.xcrp.2024.101885. Full documentation and source code: github.com/ej-jp/perovskino
Contact
Person name
Emilio J. Juarez-Perez
Email
ejjuarezperez@unizar.es