JUMP2Excel Training offers modular sessions in its activities. Our next modular training took place on Tuesday 12th February 2019.
More details below.
JUMP2Excel Modular Training
Modelling photovoltaic energy production: presentation of the MotherPV method developed at CEA
Modelling photovoltaic energy production is of uttermost importance when developing energy systems based on photovoltaics. The MotherPV method has been developed at CEA since 2006 in order to provide a very accurate method to predict the photovoltaic production in a given site for a given technology, for the sizing of energy systems, and for the very accurate (0.5 %) monitoring of the performance of photovoltaic systems, from small domestic systems to multimegawatts solar farms. This method shows that the knowledge of the solar resource becomes the key point for the sizing of systems including photovoltaic modules.
JUMP2Excel Modular Training is a 2-hour session followed by tea & coffee on Tuesday 12th February 2019 15:00 Room D102.
Antoine Guerin de Montgareuil
Antoine Guerin de Montgareuil graduated from Paris Mining School ENSMP in 1977 and the M.Sc. in Computer Science from Nice University in 1986. He is research engineer at CEA’s solar group since 1997.
He is an expert in the measurement and the modelling and the prediction of the solar resource, the measurement and the modelling of the performance of photovoltaics, modules and systems, and the sizing of energy storage for photovoltaics in smart grids. In 1987, he had started-up artificial intelligence research at The National Institute of Research in Computer Science and Automation (INRIA) and recently participated in a collaboration with Météo France and French Laboratoire National d’Essais (LNE), he also participated to the accurate calibration of absolute cavity radiometers and of global pyranometers.
Antoine Guerin de Montgareuil has been involved in many international and national research projects, including as an expert within the international Energy Agency. He is currently working in the domain of solar resource forecasting with the universities of the French overseas departments.