| Presentations: |
| 5CV.2.1 Using On-Site Measurement Data and Laboratory Test Data of PV Modules for Evaluating the Performance Degradation
M.-W. Chen, TERTEC, Taoyuan, Taiwan |
| 5CV.2.3 Temperature Coefficients of Photovoltaic Modules under Partial Shading Conditions
O.K. Segbefia, University of Agder, Grimstad, Norway |
| 5CV.2.6 Performance Analysis of PV Modules Installed in the Alpine Region
F. Carigiet, ZHAW, Winterthur, Switzerland |
| 5CV.2.7 PV Plant Monitoring Needs Both – Data Analysis and On-Site Inspection
W. Mühleisen, SAL Silicon Austria Labs, Villach, Austria |
| 5CV.2.8 Market Analysis and Economic Assessment of Photovoltaic Soiling Monitors
J.G. Bessa, University of Jaén, Jaén, Spain |
| 5CV.2.9 Impact of Dust on PV Performance in Nigeria
Y. N. Chanchangi, University of Exeter, Penryn, United Kingdom |
| 5CV.2.10 Clouds Characterization and Simulation to Evaluate the Effect in the Stability of Photovoltaic Irrigation Systems
F.J. Guillén-Arenas, UPM, Madrid, Spain |
| 5CV.2.11 Deep Learning Based Image Feature Extraction for Predicting Climate Related Degradation of PV Modules
L. Neumaier, SAL Silicon Austria Labs, Villach, Austria |
| 5CV.2.13 A Self-Referencing Method for Detecting Underperforming Strings in MWp-PV-Generators
C. Buerhop-Lutz, HI ERN, Erlangen, Germany |
| 5CV.2.14 Performance Evaluation of a High-Power PV Irrigation System for a Two-Year Operation Period
J.I. Herraiz, UPM, Madrid, Spain |
| 5CV.2.15 A Machine Learning-Aided Underperformance Assessment of Solar Plants
G. Guerra, DNV GL, Bristol, United Kingdom |
| 5CV.2.16 A Decision Support System for Cost-Effective Operation and Maintenance of PV Plants
S. Gallmetzer, Eurac Research, Bolzano, Italy |
| 5CV.2.17 Artificial Intelligence Based Solutions for PV Plant Condition Monitoring and Diagnosis Using Unmanned Aerial Vehicle Images and on-Site Measurements
M. Piazzi, I-EM, Livorno, Italy |
| 5CV.2.18 Solar Photovoltaic Power Plant Inventory and Solar Modules Counting by Convolutional Neural Network from Aerial Imagery
Y.-R. Lin, ITRI, Tainan, Taiwan |
| 5CV.2.19 Comparison of Soiling Loss Between Framed and Frameless Photovoltaic Modules
H. Karakan, Kalyon PV, Ankara, Turkey |
| 5CV.2.20 Modeling a Pothovoltaic Fault Detection Approach Considering Machine Learning for the EU PVSEC 2021
H. te Heesen, Trier University of Applied Sciences, Hoppstädten-Weiersbach, Germany |
| 5CV.2.21 Development of a Web Application for Yield Analysis of Photovoltaic Systems
H. te Heesen, Trier University of Applied Sciences, Hoppstädten-Weiersbach, Germany |
| 5CV.2.23 Si-Heterojunction Modules: Outdoor Performance in Fixed and Tracking Conditions
K. Emtsev, R&D Center TFTE, St.-Petersburg, Russian Federation |
| 5CV.2.24 Effects of the Biggest Snowfall of a Century in Madrid, on the Electricity Generation of Portrait Versus Landscape Layout Solar Panels
M.A. Muñoz-García, UPM, Madrid, Spain |
| 5CV.2.25 Challenges of Predictive Maintenance
P. Mercade Ruiz, GreenPowerMonitor, Barcelona, Spain |
| 5CV.2.26 Soiling and Snow Impact on a PV Plant at a Farm in Norway
H.N. Riise, IFE, Kjeller, Norway |
| 5CV.2.27 Bifacial Gain for 1P and 2P Trackers
P. Merodio, UPM, Madrid, Spain |
| 5CV.2.28 Ageing of Two 5kW PV Arrays at the IES-UPM after 8 Years of Operation
F. Martinez-Moreno, UPM, Madrid, Spain |
| 5CV.2.29 Assessment of the Sensitivity of the Factors Affecting Performances of Large Scale PV Power Plant
M.C. Diouf, UADB, Bambey, Senegal |
| 5CV.2.30 The Potential of the Rejected Brine as a Coolant for PV Temperature Reduction Purposes
H. Ebadi, Polytechnic University of Turin, Turin, Italy |
| 5CV.2.32 Advantage of High-Density Photovoltaic Module Application under Marine Photovoltaic Installation Condition
H.K. Ahn, Konkuk University, Seoul, Korea, Republic of |
| 5CV.2.33 Deep Learning Based Object Detection Algorithm for PV Module Defects
M. Ziyao, Nankai University, Tianjin, China |
| 5CV.2.34 Electroluminescence Inspection: Revisiting the Hidden Side of a PV Module
S. Suarez, Enertis Solar, Madrid, Spain |
| 5CV.2.35 Development of an Automated Real-Time Diagnostic System for O&M of Large Scale Photovoltaic Arrays Operating under Outdoor Conditions
P.D.N. Ncube, University of Fort Hare, Alice, South Africa |
| 5CV.2.36 Impact of Mismatch on String Performance
P. Raux, Ener-Pacte, Lyon, France |
| 5CV.2.37 Physical and Chemical Properties of Dust in the Pre-Aral Region of Uzbekistan and its Influence on Solar Modules
S.Zh. Karazhanov, Institute for Energy Technology, Kjeller, Norway |
| 5CV.2.38 Influence of Shading on Photovoltaic Generation from Winter to Summer in Vanderbijlpark, South Africa
J. Bekker, Vaal University of Technology, Vanderbijlpark, South Africa |
| 5CV.2.39 Experimental Study of the Operation of PV Strings at the MPP Closest to the Nominal MPP Voltage Instead of the Global MPP
K. Lappalainen, Tampere University, Tampere, Finland |
| 5CV.2.40 Analysis of Temperature Inertia of PV Modules Using Different Temperature Estimation Models
A.K. Vidal de Oliveira, UFSC, Florianópolis, Brazil |
| 5CV.2.41 Effect of the Number of Strings Per MPPT on the Inter-String Mismatch Loss in PV Systems
A. Karakish, KiloWattsol, Lyon, France |
| 5CV.2.42 Field Characterization of Silicon Solar Module Backsheets by Near-Infrared Absorption (NIRA) Spectroscopy
O. Stroyuk, HI ERN, Erlangen, Germany |
| 5CV.2.43 Overview of the Initial Energy Production at the 1300 MWp Kalyon Solar Power Plant in Karapınar, Turkey
M. Günöven, Kalyon PV, Ankara, Turkey |
| 5CV.2.45 Reduction in Solar Power Generation Due to Soiling Losses
S.H. Abbas Rizvi, IIT Delhi, New Delhi, India |
| 5CV.2.46 New Findings on the PV Fire Prevention - Firefighter Strategy for in-Roof PV Installations
U. Muntwyler, BUAS, Bern, Switzerland |
| 5CV.2.47 State of the Art and Performance of the Photovoltaic (PV) System Fleet in Brussels: an Analysis of 8000 PV Installations
B. Sarr, LuciSun, Sart-Dames-Avelines, Belgium |
| 5CV.2.48 Lifetime Degradation Studies of CdTe Solar Modules: Temperature, Irradiance, and Soiling Effects
K. BENABDERAZAK, Mohammed VI Polytechnic University, Benguerir, Morocco |
| 5CV.2.49 PV Fault Detection Threshold at the Module, String, and Inverter Levels
M. Matam, Florida Solar Energy Center, Cocoa, USA |
Conference Programme
