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Conferencia del Dr. Ian Marius Peters: “Satellite-Based Energy Yield Predictions for standard and emerging Photovoltaic technol

Aula de Seminarios del Instituto de Energía Solar
Fecha y Hora:
Fecha de Inicio: 12 diciembre 2018
Hora de Inicio: 11:30
Hora de Finalización: 13:30


Conferencia del Dr. Ian Marius Peters:  “Satellite-Based Energy Yield Predictions for standard and emerging Photovoltaic technologies”

El miércoles 12 de diciembre, a las 11,30 horas, del Dr. Ian Marius Peters, investigador senior del Massachusetts Institute of Technology, dictará una conferencia titulada “Satellite-Based Energy Yield Predictions for standard and emerging Photovoltaic technologies”, en el Aula de Seminarios del Instituto de Energía Solar, 11h30.

Ian Marius Peters is a research scientist in the PV lab and head of the team “systems on silicon”. He received a degree in physics from the Albert Ludwigs University of Freiburg in 2006. His thesis was on the development of a third electrode in a dye sensitized solar cell. He continued as a Ph.D. student and worked in collaboration with the Fraunhofer Institute for Solar Energy Systems (ISE) on the development of Photonic Concepts for Solar Cells. He graduated in 2009. From 2009 to 2011 Marius worked as a Project Manager at the Projects in Solar Energy (PSE) AG in Freiburg and Fraunhofer ISE on the development of integrated opto-electronic modelling and multi-scale optics. In 2011 he joined the Solar Energy Research Institute of Singapore (SERIS) where he established and headed the PV Modelling and Simulation group. He joined the MIT PV lab in 2014. He has published more than 150 manuscripts in peer-reviewed journals, in conference proceedings and as patents.

Sobre la conferencia

"Energy yield" is a key metric for solar cells and describes generated electricity (kWh) in a realistic operating environment, that goes beyond that of the conventional conversion efficiency. A simple translation between those metrics, however, is missing. The conference will present fundamental energy yield limits calculated from 2015 global satellite data for various solar cells, including established technologies such as Si and CdTe and emerging materials such as perovskites. A detailed balance model with experimental validation allows a straightforward approximation of energy yield from lab-measured efficiencies for any solar cell material. The relation also enables a fair comparison between solar cells with different band-gaps.



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