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| Main Authors: | , , , , , , , , |
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| Format: | Recurso digital |
| Language: | English |
| Published: |
Zenodo
2025
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| Subjects: | |
| Online Access: | https://doi.org/10.5281/zenodo.15294954 |
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Table of Contents:
- <p>As the world increasingly turns to renewable energy sources (RES) like solar power to combat climate change, safeguarding optimal performance, efficiency and reliability of photovoltaic (PV) systems become paramount. However, a significant challenge that has emerged is the loss of shading, which can significantly diminish the performance of these systems. Shading from near- or far-field horizon obstructions, interrupts the flow of sunlight to solar modules, reducing their ability to generate electricity. Addressing this issue has become a focal point for researchers and engineers striving to maximize the effectiveness of solar energy capture and utilization.</p> <p>This technical white paper aims to provide information about the field tests performed to verify the operational functionality and performance of module-level optimizers, Smart Module Controller by Huawei, to mitigate shading losses and improve the overall performance of PV systems. It specifically, illustrates how Huawei’s Smart Module Controller technology can assist to harvest more energy from shaded modules. The purpose of the tests was to provide evidence and verify that the:</p> <p><strong>Application of optimizers at module level improves the energy yield and performance of PV systems under typical simulated rooftop residential solar partial shading coverage scenarios in comparison to systems without optimizers.</strong></p> <p>Finally, the field test results verified that the optimizers at module level enhance the energy yield and improve performance under simulated shadow coverage scenarios since the string with module-level optimizers recovered up to 34% of energy lost due to shading in comparison to the string without optimizers, under identical emulated shading conditions.</p>