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Online Workshop: Modelling individual components and a whole energy system, which integrates a large share of variable renewables
April 8 – 13h00 – 17h00
Registration link: https://forms.gle/DMvCoMUJDretii268
Workshop day 1: PV system modelling
Monday, April 8, 2024, from 1PM to 5PM in La Reunion (UTC+4h) – corresponding to 11:00 a.m. to 3:00 p.m. CET
Connection link will be sent to registered participants
Speaker: Sergiu Spataru, Associate Professor, Department of Electrical and Photonics Engineering, Photovoltaic Materials and Systems, DTU
Sergiu received a Ph.D. degree in “Characterization and diagnostic methods for PV modules and arrays”, at the Department of Energy Technology at Aalborg University. During this period, he was a guest researcher for six months at the National Renewable Energy Laboratory in US, within reliability testing and modelling of solar photovoltaic modules. He continued research as a PostDoc and thereafter as Assistant Professor at Aalborg University, within performance modelling of photovoltaic systems, electroluminescence imaging, modelling and machine learning methods applied to diagnostic and condition monitoring of photovoltaic systems. In 2020, he started a new position as Associate Professor in the Department of Photonics Engineering at the Technical University of Denmark (DTU). There he is currently teaching and developing solar PV energy engineering courses and conducting research within performance modeling of standalone PV products, diagnostic imaging and drone inspection of PV systems.
About the workshop
In this first part of the workshop DTU experts will give complete course on PV system modelling with lectures and exercises. Trainees will learn how to assess the solar irradiance received on the plan of the PV modules. Then they will model and evaluate the performance of the different components of a PV system: the modules and the inverters. The exercises will be done online with collaborative Jupyter Notebooks and the library pvlib, which requires basic knowledge on programming with Python and are accessible to beginners.