Dates: 2022
Principal Investigator: Dr. Muhammad Khalid
Funded by: SDAIA-KFUPM Joint Research Center for Artificial Intelligence

Description: This proposal focuses on supporting Saudi Vision 2030 and global sustainability goals by addressing challenges in integrating large-scale renewable energy—particularly solar PV—into the power grid. While renewable energy is vital, its variability threatens grid reliability, especially under Saudi Arabia’s harsh climate, which accelerates battery degradation. The project aims to evaluate electrochemical storage technologies and develop machine learning–based, non-invasive methods for monitoring and managing battery performance, health, and maintenance. It will also design smart energy storage management strategies using hybrid battery–supercapacitor systems with intelligent optimization and control algorithms. The ultimate goal is a cost-effective, reliable, and stable renewable energy grid, enabling large-scale solar integration despite challenging conditions.