Oil, gas, and coal, known as fossil fuel, are rapidly depleting forces meaning practitioners are looking for new energy sources. Additionally, fossil fuels emit harmful gasses into the environment which also intensifies global warming by increasing the atmosphere's carbon dioxide level.

Renewable energy sources such as wave, hydropower, solar, wind, and geothermal can meet the growing energy demand and have low environmental damage rather than conventional fossil fuel sources. As energy consumption is growing, new technologies and policies are needed to maximize sustainable energy sources' productivity and utilization. These new initiatives will offer decent solutions for exploration, generation, distribution, and sustainable energy consumption. Countries worldwide are increasingly considering sustainable development through renewable energy to manage environmental concerns and keep their economic development. Mathematical modeling is a powerful tool to study and analyze various dimensions of renewable energy systems. System design, optimization, system control, dynamic systems analysis, cost minimization, supply chain design, policy design, and socio-economic planning are applications of mathematical models in sustainable energy. It is worth mentioning that due to the nonlinear characteristics of the renewable energy systems, modeling and controlling of these systems imposes challenges to the researchers.

This Special Issue aims to collect original research and review articles focusing on novel mathematical models engaging in problems, solutions, policies, and technologies for renewable energy sources.

Potential topics include but are not limited to the following:

• Production and integration of renewable energy resources such as wind, solar, bioresources, geothermal, and hydrogen
• Emerging technologies in renewable energy such as liquid fuel technology, clean fuel production, and plasma processes
• Energy storage systems for intermittent renewable energy resources
• Sustainable supply chain planning
• Life Cycle Assessment (LCA)
• Social impacts of sustainable policies and technologies
• Computational fluid dynamic modeling of wind turbines, blades, hydrogen and ammonia turbines for clean energy production
• CO2 in value-added products