Bernd Doll
Bernd Doll
PhD Student, FAU Erlangen Nürnberg
Verified email at
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A benchmark for visual identification of defective solar cells in electroluminescence imagery
C Buerhop-Lutz, S Deitsch, A Maier, F Gallwitz, S Berger, B Doll, J Hauch, ...
35th European PV Solar Energy Conference and Exhibition 12871289, 1287-1289, 2018
Photoluminescence for defect detection on full-sized photovoltaic modules
B Doll, J Hepp, M Hoffmann, R Schüler, C Buerhop-Lutz, IM Peters, ...
IEEE Journal of Photovoltaics 11 (6), 1419-1429, 2021
Non-stationary outdoor EL-measurements with a fast and highly sensitive InGaAs camera
J Adams, B Doll, C Buerhop, T Pickel, J Teubner, C Camus, CJ Brabec
Munich, 1837-1841, 2016
Deep‐learning‐based pipeline for module power prediction from electroluminescense measurements
M Hoffmann, C Buerhop‐Lutz, L Reeb, T Pickel, T Winkler, B Doll, T Würfl, ...
Progress in Photovoltaics: Research and Applications 29 (8), 920-935, 2021
High-throughput, outdoor characterization of photovoltaic modules by moving electroluminescence measurements
B Doll, T Pickel, O Schreer, C Zetzmann, J Hepp, J Teubner, C Buerhop, ...
Optical Engineering 58 (8), 083105-083105, 2019
Defects and performance of Si PV modules in the field–an analysis
J Denz, J Hepp, C Buerhop, B Doll, J Hauch, CJ Brabec, IM Peters
Energy & Environmental Science 15 (6), 2180-2199, 2022
Luminescence analysis of PV-module soiling in Germany
B Doll, K Forberich, J Hepp, S Langner, C Buerhop-Lutz, JA Hauch, ...
IEEE Journal of Photovoltaics 12 (1), 81-87, 2021
Fast and robust detection of solar modules in electroluminescence images
M Hoffmann, B Doll, F Talkenberg, CJ Brabec, AK Maier, V Christlein
Computer Analysis of Images and Patterns: 18th International Conference …, 2019
Quantitative assessment of the influence of camera and parameter choice for outdoor electroluminescence investigations of silicon photovoltaic panels
B Doll, EC del Rivero, J Hepp, T Pickel, C Buerhop, R Knecht, C Camus, ...
Zeitschrift für Naturforschung A 74 (8), 645-653, 2019
Analysis of digitized PV-module/system data for failure diagnosis
C Buerhop-Lutz, T Pickel, B Doll, C Brabec, J Hauch, J Denz
36th. EU-PVSEC, 2019
High through-put outdoor characterization of silicon photovoltaic modules by moving electroluminescence measurements
B Doll, T Pickel, O Schreer, C Zetzmann, J Teubner, C Buerhop, J Hauch, ...
Infrared Sensors, Devices, and Applications VIII 10766, 109-119, 2018
Contactless outdoor photoluminescence of silicon photovoltaic modules with large area excitation source
B Doll, M Hoffmann, O Stroyuk, A Vetter
Proc. 37th Eur. Photovolt. Sol. Energy Conf. Exhib., 1370-1373, 2020
Towards true contactless outdoor luminescence of silicon photovoltaic modules with inhomogeneous small area excitation source
B Doll, J Kornhas, J Hepp, C Buerhop, J Hauch, C Camus, CJ Brabec
2018 IEEE 7th World Conference on Photovoltaic Energy Conversion (WCPEC)(A …, 2018
Module-power prediction from PL measurements using deep learning
M Hoffmann, J Hepp, B Doll, C Buerhop-Lutz, IM Peters, C Brabec, ...
2021 IEEE 48th Photovoltaic Specialists Conference (PVSC), 0827-0830, 2021
Quantitative assessment of the power loss of silicon PV modules by IR thermography and its practical application in the field
J Denz, C Buerhop, C Camus, I Kruse, T Pickel, B Doll, J Hauch, C Brabec
37th european photovoltaic solar energy conference and exhibition, 1542-1547, 2020
1st International round robin on EL imaging: automated camera calibration and image normalisation
KG Bedrich, J Chai, Y Wang, AG Aderle, M Bliss, M Bokalic, B Doll, ...
Loughborough University, 2018
Deep learning-based pipeline for module power prediction from el measurements
M Hoffmann, C Buerhop-Lutz, L Reeb, T Pickel, T Winkler, B Doll, T Würfl, ...
arXiv preprint arXiv:2009.14712, 2020
Comparative analysis of outdoor energy harvest of organic and silicon solar modules for applications in BIPV systems
S Feroze, A Distler, K Forberich, IA Channa, B Doll, CJ Brabec, ...
Solar Energy 263, 111894, 2023
Using deep learning to predict PV module IV curves from electroluminescence images
S Rodrigues Abreu, J Hauch, IM Peters, T Winkler, C Buerhop-Lutz, ...
36th PV Symposium, 97-110, 2021
Predicting Module IV Curves From Electroluminescence Images With Deep Learning
S Rodrigues, C Buerhop-Lutz, B Doll, J Hauch, CJ Brabec, IM Peters
37th European Photovoltaic Solar Energy Conference and Exhibition, 1364-1369, 2020
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