Dr. Fady Alnajjar - Associate Professor in the Department of Computer Science and Software Engineering, said, “The project is inspired by the intelligence of nature in choosing the most appropriate genes to deal with various environmental factors, and to adapt to any changes. In this project, we designed a smart system to distribute solar panels and locate its direction in large areas such as the desert. The project depends on increasing the efficiency of solar energy by using gene selection algorithms to distribute solar panels, which can effectively increase energy production from the solar facility, under different environmental conditions.”

 

He added, “The use of genetic algorithms to address the problem of the direction of solar panels will pave the way for determining the ideal angle for the solar panels, which increases the maximum possible sunlight. It also affects the overall panels design and direction. This also reduces effectively heat concentration and dust accumulation on panels by controlling wind flow that enhance overall system efficiency and longevity. This integration of bio-inspired optimization, practical and innovative features represents a major advance in solar technology.

 

The student, Maryam Khaled Mohammad Al Kuwaiti indicated that the solar PV panel project innovative design is an integrated automatic control, which achieves efficiency and usability that positively affect society and environment. The team consists of: Shamma Al Neyadi, Nasser Al Saadi and Ahmed Al Shamsi.