Photovoltaic System Reliability
98 researchers across 9 institutions
Research in photovoltaic system reliability investigates the long-term performance and durability of solar energy technologies. This work examines factors influencing the degradation of solar cells, modules, and balance-of-system components under various environmental conditions. Investigations include material science approaches to understand failure mechanisms, electrical characterization to assess performance changes, and advanced modeling techniques to predict lifespan and identify potential weaknesses. Specific areas of focus include the impact of weather, soiling, and operational stress on photovoltaic output and the development of diagnostic tools and mitigation strategies to enhance system resilience.
This research holds particular relevance for Arkansas as the state seeks to expand its renewable energy infrastructure. Reliable photovoltaic systems are crucial for reducing energy costs for businesses and residents, supporting the agricultural sector through on-farm solar installations, and contributing to the state's energy independence. Understanding and improving the longevity of solar technology can also foster job growth in the installation, maintenance, and manufacturing sectors within Arkansas, aligning with economic development goals.
This field draws upon expertise in semiconductor materials, device physics, materials science, and mechanical properties of thin films. Connections are also made to machine learning and neural network applications for performance monitoring and predictive maintenance, as well as the integration of renewable energy sources into the broader power grid. This research is pursued across multiple Arkansas institutions, reflecting a broad base of engagement.
Top Researchers
| Name | Institution | h-index | Citations | Career Stage | Badges |
|---|---|---|---|---|---|
| Zijun Zhang | UAMS | 56 | 11,934 | High Impact | |
| Baohua Li | University of Arkansas | 55 | 12,229 | High Impact | |
| Qun Luo | University of Arkansas | 43 | 6,850 | ||
| Yue Zhao | University of Arkansas | 39 | 6,306 | Faculty | High Impact |
| M. O. Manasreh | University of Arkansas | 31 | 3,667 | Faculty | High Impact |
| Ping Liu | Arkansas Tech University | 31 | 5,333 | Faculty | |
| Seung Hyun Kim | UA Little Rock | 29 | 3,312 | Faculty | High Impact |
| Hameed A. Naseem | University of Arkansas | 29 | 3,432 | High Impact | |
| Yuqi Cui | UAMS | 28 | 2,890 | High Impact | |
| Han Hu | University of Arkansas | 26 | 2,195 | Faculty | Grant PI High Impact |
| Ehsan Naderi | Arkansas State University | 24 | 2,163 | Faculty | High Impact |
| Charles Paillard | University of Arkansas | 24 | 2,562 | Faculty | High Impact |
| Zeng Li | Arkansas State University | 24 | 1,814 | ||
| Aboozar Mosleh | University of Arkansas | 23 | 2,273 | High Impact | |
| Xinze Li | University of Arkansas | 21 | 1,613 | ||
| Balaji Narayanasamy | University of Arkansas | 16 | 889 | Research Staff | |
| Roy McCann | University of Arkansas | 15 | 973 | Faculty | Grant PI |
| Yarui Peng | University of Arkansas | 15 | 806 | Faculty | Grant PI |
| Sujan Kumar Ghosh | UA Little Rock | 14 | 672 | Faculty | Grant PI |
| Shengyi Wang | UA Little Rock | 13 | 1,113 |
Related Research Areas
Cross-Institution Connections
Researchers at different institutions with overlapping expertise in Photovoltaic System Reliability.