Dr James Barry
Field of research
- Energy meteorology
- Atmospheric radiative transfer
- Solar photovoltaics
- Energy storage
James Barry studied physics and mathematics at Rhodes University in Grahamstown, South Africa, where he completed his MSc  in theoretical particle physics in 2009. After a three month research visit to the Max Planck Institut für Kernphysik  (MPIK) in Heidelberg in 2009 he returned to complete his PhD at the University of Heidelberg, working in the MANITOP  group at the MPIK. In his PhD thesis  he investigated the phenomenological consequences of sterile neutrinos of different mass scales in extensions to the Standard Model.
From 2014 to 2017 he worked as a research scientist at the Batterietechnikum  (formerly Project Competence E) at KIT, where he primarily developed intelligent control algorithms for battery storage systems for renewable energy applications. It was while working with data from the 1 MW solar field  at KIT Campus Nord that he developed an interest in the cloud-induced fluctuations of solar irradiance as well as methods of forecasting solar power generation, which led him to pursue further research in energy meteorology.
During a three year postdoc at the Institute for Environmental Physics (IUP) in Heidelberg he worked on employing remote sensing techniques to use solar power systems as sensors for the atmosphere, as part of the MetPVNet  project. The algorithms developed in this project form the basis for his current project at the H-BRS, “PV power forecasts for battery storage control - a pilot project with rooftop systems”, funded by the government of NRW through the progres.NRW programme.
- Barry, J., Böttcher, D., Pfeilsticker, K., Herman-Czezuch, A., Kimiaie, N., Meilinger, S., Schirrmeister, C., Deneke, H., Witthuhn, J., and Gödde, F.: Dynamic model of photovoltaic module temperature as a function of atmospheric conditions, Adv. Sci. Res., 17, 165–173, doi:10.5194/asr-17-165-2020 , 2020.
- Munzke, N., Barry, J., Schwarz, B., & Büchle, F. (2017). Evaluation of the effect of PV plant size on the efficiency of household Li-ion battery storage systems. In 33rd European Photovoltaic Solar Energy Conference and Exhibition (pp. 2047–2051). Amsterdam. https://doi.org/10.4229/EUPVSEC20172017-6CO.16.3 
- Barry, J., Munzke, N., & Thomas, J. (2016). Short-term power fluctuations in densely clustered PV-battery systems. In 32nd European Photovoltaic Solar Energy Conference and Exhibition (pp. 2398–2403). Munich. https://doi.org/10.4229/EUPVSEC20162016-6CO.12.2