A Review on Designing Hybrid Energy Systems for Renewable Integration

Khaled Sh. Gaber

Computer Science and Intelligent Systems Research Center, Blacksburg 24060, Virginia, USA

Emails: khsherif@jcsis.org

Abstract

This paper reviews the design and integration of hybrid energy systems (HES) as a solution to solve the challenges of renewable energy integration. It emphasizes the role of optimization algorithms in improving system performance, reducing costs and enhancing environmental sustainability by effectively managing energy supply and demand. Recent advances in energy estimating, machine learning, and accurate resource forecasting demonstrate significant system flexibility and efficiency increases. Furthermore, it identifies existing challenges, such as scalability, high initial costs and integration complexities, while proposing future research and innovation pathways. The study argues that HES can revolutionize energy systems and contribute to global sustainability goals by addressing key gaps.

Keywords: Renewable Integration; Optimization Algorithms; Sustainability Energy Storage; Artificial Intelligence and Energy Storage in energy-efficient hybrid systems.