EU PVSEC Programme Online
EU PVSEC 2020, 7 - 11 September 2020
Session: 5CV.3 Operation, Performance and Maintenance of PV Systems
Type: Visual
Date: Wednesday, 9th September 2020
15:15 - 16:45
Event: Conference Conference
Type(s) of Access:  Conference Registration
Topic: 5. PV Systems and Storage – Modelling, Design, Operation and Performance
5CV.3.1 Outdoor Performance Modeling of a Vertically Arranged Bifacial PV Module in Ben Guerir, Morocco
A. Benazzouz, IRESEN, Rabat, Morocco
5CV.3.2 25-kW Grid-Tie Solar Photovoltaic (PV) System for the Engineering S-Building at Vaal University of Technology in Vanderbijlpark, South Africa
J. Bekker, Vaal University of Technology, Vanderbijlpark, South Africa
5CV.3.3 Concept of Graphene Enhanced Solar Cell and Performance Prediction
C.-W. Wu, CAS, Beijing, China
5CV.3.4 Experimental Study of the Behaviour of the Global MPP of Partially Shaded PV Strings
K. Lappalainen, Tampere University, Tampere, Finland
5CV.3.5 Fitting Procedure for PV Panel Measured Current-Voltage Curves
H. Kalliojärvi-Viljakainen, Tampere University, Tampere, Finland
5CV.3.6 Soiling, New Portable Measurement Tool and Characterization Method, to Get Easy and Quick Field Diagnostic
M. Amhal, CEA, Le Bourget-du-Lac, France
5CV.3.7 Novel Model to Estimate Transmittance Soiling Losses Using DUSST, an Innovative Soiling Sensor
A. Fernández Solas, University of Jaén, Jaén, Spain
5CV.3.9 PV-Module’s Backsheet Compositions Affecting PV-System’s Yield and Degradation
C. Buerhop-Lutz, HI ERN, Erlangen, Germany
5CV.3.11 Real Time Availability Calculation for a PV Plant Portfolio
N. Lebert, HESPUL, Lyon, France
5CV.3.12 PV Infrastructure 1993+ and New Test Facilities for Education and Research
U. Muntwyler, BUAS, Burgdorf, Switzerland
5CV.3.13 PV-AIDED: Photovoltaic Artificial Intelligence Defect Identification (PEARL TF-PV Project)
E. Sovetkin, Forschungszentrum Jülich, Jülich, Germany
5CV.3.14 The Adoption of IT Technologies, with a Focus on AI and Digital Twins, for PV Performance Optimization
G. Mütter, ALTESO, Vienna, Austria
5CV.3.15 PV String Fault Detection by Using the Clustering of Module Operating Points for Large-Scale PV Power Plant
K. Tanina, Tokyo University of Science, Tokyo, Japan
5CV.3.16 Can Robotics in PV Plant Maintenance Develop Quickly Enough for the Set Roadmap?
F. Popescu, Fraunhofer FOKUS, Berlin, Germany
5CV.3.18 Statistical Evaluation Approaches of PV Plants for O&M
V. Dimitrievska, SAL Silicon Austria Labs, Villach, Austria
5CV.3.19 Quantitative Assessment of the Power Loss of Silicon PV Modules by IR Thermography and Its Practical Application in the Field
J. Denz, HI ERN, Erlangen, Germany
5CV.3.21 Integrated Concept for PV Plant Monitoring and Model Based Analytics
C. Gradwohl, University of Leoben, Leoben, Austria
5CV.3.22 Accuracy Analysis of Photovoltaic Simulation Softwares with Real Data
M.Y. Kinali, Mevlana Development Agency, Konya, Turkey
5CV.3.23 Outdoor Fault Diagnosis of Field-Aged Solar Modules
O.K. Segbefia, University of Agder, Grimstad, Norway
5CV.3.24 CIGS Photovoltaic Power Plants: Performance Analysis
S. Sarikh, Cadi Ayyad University, Marrakech, Morocco
5CV.3.25 Outdoor IV Diagnosis of Photovoltaic Power Plants: Field Feedback
M. Amhal, CEA, Le Bourget-du-Lac, France
5CV.3.26 The Need for an Accuracy Check of Irradiation Sensors for Photovoltaic Power Plants
W. Mühleisen, SAL Silicon Austria Labs, Villach, Austria
5CV.3.27 Performance Boost of Bifacial Silicon Heterojunction Modules: Verification Based on Field Data and Radiative Simulation
A. Tuomiranta, CSEM, Neuchâtel, Switzerland
5CV.3.28 Assessment of Photovoltaic Power Plants Using Fixed, Single Axis and Two Axis Tracking Systems
P.H. Veríssimo, UFSC, Florianópolis, Brazil
5CV.3.29 I-V Curve Measurement and Failure Analysis for Silicone Photovoltaic Power Plants
S. Sarikh, Cadi Ayyad University, Marrakech, Morocco
5CV.3.30 Incidence Angle and Diffuse Radiation Adaptation of Soiling Measurements
F. Wolfertstetter, German Aerospace Center, Tabernas, Spain
5CV.3.33 Identifying Snow Events in PV System Data
M.B. Øgaard, Institute for Energy Technology, Kjeller, Norway
5CV.3.34 Machine Learning Based PV Online Fault Detection for Soiling and Shading
H.-F. Huang, Thingnario, Taipei, Taiwan
5CV.3.35 A Machine Learning-Based Anomaly Detection System for Solar Inverters
P. Mercade Ruiz, Greenpowermonitor, Barcelona, Spain
5CV.3.36 PV-System Degradation Rates in the Nordics
E.B. Sveen, Institute for Energy Technology, Kjeller, Norway
5CV.3.37 Climate Related Dependence of Performance Losses of over 3,500 PV Systems
S. Lindig, Eurac Research, Bolzano, Italy
5CV.3.38 Cleaning the PV Panels, the First Laboratory Test Equipment for Assessing the Best Solutions
J. Aime, CEA, Le Bourget-du-Lac, France
5CV.3.40 Soiling Rate Prediction from Meteorological Parameters Using an ANN Developed Model
H. El Gallassi, Green Energy Park, Benguerir, Morocco
5CV.3.44 Computer Vision Method for Extracting an Induced Electroluminescence Signal from Photovoltaic Modules in Daylight Conditions Using Drone-Captured Images
T.K. Hass, Technical University of Denmark, Roskilde, Denmark
5CV.3.46 Analysis of Brazilian Power Plants Common Faults
A.K. Vidal de Oliveira, UFSC, Florianópolis, Brazil
5CV.3.47 Development of Predictive Maintenance Algorithms for Photovoltaic Systems Using Synthetic Database
E.A. Sarquis Filho, Technical University of Lisbon, Lisbon, Portugal
5CV.3.48 Impact of Amazonian Climate and Forest Fires on Photovoltaic Generation
L. Lima, CEEAC, Rio Branco, Brazil
5CV.3.49 A Review of Failure Modes in PV Systems and Their Respective Failure Rates Reported in the Literature
E.A. Sarquis Filho, Technical University of Lisbon, Lisbon, Portugal
5CV.3.50 Thermal Infrared Imaging of mc-Si PV Modules under Changing Soiling Conditions
M. Vumbugwa, NMU, Port Elizabeth, South Africa
5CV.3.51 PV Soiling Loss Comparative Study at Two Different Climates of the Mediterranean Area
N. Martín Chivelet, CIEMAT, Madrid, Spain
5CV.3.52 Fault Detection in PV Systems by Lazy Nowcasting of Expected Energy Production through Half-Sibling Regression and Fast Time Series Analysis
D.-E. Archer, Checkwatt, Danderyd, Sweden
5CV.3.53 Determination of a PV Module Malfunction from Their Maximum Power Point or from Their Operation Voltage, Two Different Strategies
J.C. Jimeno, UPV/EHU, Bilbao, Spain
5CV.3.54 Analysis of the Performance of the I-V Curve Correction Methodsin the Presence of Defects
B. Li, CNRS/GeePs, Gif-sur-Yvette, France