Year

2026

Season

Spring

Paper Type

Master's Thesis

College

College of Computing, Engineering & Construction

Degree Name

Master of Science in Mechanical Engineering (MSME)

Department

Engineering

NACO controlled Corporate Body

University of North Florida. School of Engineering

Committee Chairperson

Dr. James Fletcher

Second Advisor

Dr. Grant Bevill

Rights Statement

http://rightsstatements.org/vocab/InC/1.0/

Third Advisor

Dr. Christopher Oshman

Department Chair

Dr. Alan Harris

College Dean

Dr. William Klostermeyer

Abstract

This thesis presents the development of a genetic algorithm (GA) optimization framework for the design and component sizing of hybrid solar-hydrogen microgrids. The framework addresses a critical gap in research and existing commercial tools by unifying performance maximization and cost minimization objectives across both grid-tied and islanded configurations. Integrating solar photovoltaics, electrolyzers, hydrogen storage, fuel cells, and batteries, the GA employs adaptive weighting and dynamic boundary constraints to balance technical feasibility with economic efficiency. To ensure real-world viability, the algorithm relies on a novel Daylight Sun Factor (DSF) for localized solar assessment and was rigorously validated against multi-year, high-fidelity irradiance datasets. Furthermore, the computational sizing logic was empirically verified using the PicoGrid, a physical pilot-scale microgrid at the JEA Sustainable Solutions Lab. Physical testing confirmed the algorithm's ability to engineer systems capable of maintaining sustained grid stability during severe low-insolation weather events. Comparative benchmarking against HOMER Pro demonstrated that the GA achieves comparable or superior system autonomy with more efficient, balanced energy storage sizing, successfully preventing the capital inflation often caused by component oversizing. Ultimately, this research delivers a robust, physics-informed computational tool that advances the autonomous design of resilient renewable energy systems.

Download

Share

COinS
 

Accessibility Statement

This item was created or digitized before April 24, 2027, or is a reproduction of legacy material created before that date. It is preserved in its original, unmodified state specifically for research, reference, or historical recordkeeping. In accordance with the ADA Title II Final Rule, the Library provides accessible versions of archival materials by request. If you are experiencing difficulty accessing the information on the site due to a disability, please submit a request through the following form for assistance.