Design of a decision support tool to optimize solar-wind energy systems

In many geographical locations of interest, both solar and wind resources are relatively abundant. The purpose of this project is to design a decision support tool to optimize hybrid solar/wind energy systems. The project shall focus on assessing various combinations of wind and solar capacities with the aim of optimizing the system based on cost and environmental considerations.

More specifically, the project shall include:

• Create accurate energy generation models for both solar and wind systems based on local environmental conditions, system specifications, and geographical coordinates.
• Perform a cost analysis, including equipment costs, installation expenses, maintenance costs, and potential savings over time for different system configurations.
• Develop a robust optimization algorithm that takes into account user preferences, budget constraints, and environmental considerations to recommend the most suitable hybrid system configuration.

Estimate the environmental impact of each hybrid system configuration, including reductions in carbon emissions and fossil fuel usage.

Project Details

• Student(s): Jad Hamdar, Elsa El Hage, Gaelle Abdel Nour, Alex Jalkh
• Advisor(s): Dr. Amne El Cheikh
• Year: 2023-2024