Lilei Jiang
Papers
1
Total Citations
2
H-Index
1
About
Lilei Jiang is a researcher focused on advancing the automation and efficiency of photovoltaic (PV) system maintenance, with a particular emphasis on robotic cleaning technologies. Their key research areas include the development of intelligent cleaning robots for solar panels and the optimization of cleaning cycles to enhance the economic viability of distributed PV systems. Jiang’s major contribution lies in designing a highly automated, low-cost cleaning robot that replaces regular manual cleaning, thereby improving the operational efficiency and financial returns of solar energy installations. Their most-cited paper, "Development and Cleaning Cycle Optimization of Photovoltaic Module Cleaning Robot" (2021), has garnered 2 citations and presents a novel approach to integrating robotics with cycle optimization algorithms. This work addresses a critical challenge in the solar industry—dust accumulation on panels—by offering a practical, scalable solution. Jiang’s research is particularly notable for its focus on reducing maintenance costs while maximizing energy output, making it highly relevant for both academic researchers and industry practitioners seeking to improve the sustainability and profitability of solar power systems.
Research Focus
Key Achievements
Top Papers
- 1