This title appears in the Scientific Report :
2021
Please use the identifier:
http://hdl.handle.net/2128/27411 in citations.
Please use the identifier: http://dx.doi.org/10.4229/EUPVSEC20202020-5CV.3.19 in citations.
Quantitative Assessment of the Power Loss of Silicon PV Modules by IR Thermography and Its Practical Application in the Field
Quantitative Assessment of the Power Loss of Silicon PV Modules by IR Thermography and Its Practical Application in the Field
On the road to more photovoltaic (PV) energy production, high-throughput and non-disruptivemaintenance routines are needed to ensure a reliable long-term performance of PV plants. Additionally, a method thatallows a quantitative assessment of silicon PV module performance solely by measuring cell te...
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Personal Name(s): | Denz, Janine (Corresponding author) |
---|---|
Buerhop-Lutz, Claudia / Camus, Christian / Kruse, Ingmar / Pickel, Tobias / Doll, Bernd / Hauch, Jens / Brabec, Christoph | |
Contributing Institute: |
Helmholtz-Institut Erlangen-Nürnberg Erneuerbare Energien; IEK-11 |
Imprint: |
WIP
2020
|
Physical Description: |
1542-1547 |
ISBN: |
3-936338-73-6 |
DOI: |
10.4229/EUPVSEC20202020-5CV.3.19 |
Conference: | 37th European Photovoltaic Solar Energy Conference and Exhibition, München (Germany), 2020-09-07 - 2020-09-11 |
Document Type: |
Contribution to a book Contribution to a conference proceedings |
Research Program: |
Solar cells of the next generation |
Link: |
OpenAccess |
Publikationsportal JuSER |
Please use the identifier: http://dx.doi.org/10.4229/EUPVSEC20202020-5CV.3.19 in citations.
On the road to more photovoltaic (PV) energy production, high-throughput and non-disruptivemaintenance routines are needed to ensure a reliable long-term performance of PV plants. Additionally, a method thatallows a quantitative assessment of silicon PV module performance solely by measuring cell temperatures via infraredthermography (IR) is more easily applicable in a high-throughput fashion using e.g. unmanned aerial vehicles (UAVs)than measuring each module individually. We introduced a mathematical framework to determine power losses ofmodules from IR images. The method makes use of the fact that, in a steady state closed system, energy that is notconverted into electrical power has to be dissipated as heat. In this contribution, we reduce this method to practice byanalysing the electrical performance of four PV modules with temperature anomalies at two different sites, which areequipped with a power monitoring system by the company Sunsniffer for validation. We present an analyticalexpression for the power-temperature-relationship, and discuss influences of convection and how to correct for them.We find that power predictions often deviate less than 3% from the monitoring data and confirm our theoreticalconsiderations, allowing power loss to be quantified. Cases with larger deviations show that some influences are yet tobe better understood and more data is needed. |