Photovoltaic System Reliability
99 researchers across 11 institutions
Research in photovoltaic system reliability focuses on understanding and improving the long-term performance and durability of solar energy technologies. This area investigates factors that cause degradation in solar panels and associated components, including environmental stresses like heat, humidity, and UV radiation, as well as operational challenges. Researchers employ advanced diagnostic techniques, materials characterization, and computational modeling to identify failure mechanisms, predict system lifespan, and develop mitigation strategies. Key sub-fields include the study of semiconductor material stability, encapsulation techniques, inverter performance, and the impact of soiling and shading on energy output.
This work holds particular relevance for Arkansas as the state seeks to expand its renewable energy portfolio and enhance grid resilience. Improving the reliability of photovoltaic systems supports the growth of the solar industry, creating economic opportunities and potentially lowering energy costs for consumers and businesses across the state. Furthermore, understanding the long-term performance of solar installations in diverse Arkansas environments, from agricultural lands to urban settings, contributes to sustainable energy development and resource management.
The study of photovoltaic system reliability draws upon expertise in semiconductor materials, materials science, and mechanical engineering. It also intersects with advancements in machine learning and neural networks for predictive maintenance and with renewable energy integration for grid-scale deployment. This research is pursued collaboratively across multiple Arkansas institutions, involving faculty, graduate students, and postdoctoral researchers.
Top Researchers
| Name | Institution | h-index | Citations | Career Stage | Badges |
|---|---|---|---|---|---|
| Yong Wang | University of Arkansas | 91 | 37,725 | Grant PI High Impact | |
| Min Xiao | University of Arkansas | 84 | 32,081 | High Impact Grants | |
| Zijun Zhang | UAMS | 56 | 11,934 | High Impact | |
| H. Alan Mantooth | University of Arkansas | 45 | 8,963 | ARA Grant PI High Impact | |
| George Alan Blackburn | UA Div. of Agriculture | 43 | 7,437 | ||
| Z. Ryan Tian | University of Arkansas | 37 | 8,203 | Grant PI High Impact | |
| Mourad Benamara | University of Arkansas | 35 | 5,614 | High Impact | |
| Wen Zhang | University of Arkansas | 34 | 3,666 | High Impact | |
| Hameed A. Naseem | University of Arkansas | 29 | 3,340 | High Impact | |
| Vincent Chevrier | University of Arkansas | 28 | 11,229 | High Impact | |
| Yuqi Cui | UAMS | 28 | 2,687 | High Impact | |
| Jian Liu | UAMS | 27 | 2,687 | ||
| Yuriy I. Mazur | University of Arkansas | 25 | 2,461 | High Impact | |
| Morgan E. Ware | University of Arkansas | 23 | 2,827 | Grant PI High Impact | |
| Scott C. Smith | University of Arkansas | 23 | 1,861 | ||
| Aboozar Mosleh | University of Arkansas | 22 | 2,182 | High Impact | |
| Robert A. Fleming | Arkansas State University | 19 | 1,025 | Grant PI | |
| Yang Tian | UA Div. of Agriculture | 16 | 863 | ||
| Lingyuan Gao | University of Arkansas | 14 | 634 | ||
| Roy McCann | University of Arkansas | 14 | 899 | Grant PI |
Related Research Areas
Connected Research Areas
Topics that share active collaborators with Photovoltaic System Reliability in Arkansas. Pairs are ranked by collaboration density relative to expected co-authorship under a random null. This describes existing connections, not investment recommendations.
Cross-Institution Connections
Researchers at different institutions with overlapping expertise in Photovoltaic System Reliability.