The study presents a novel hybrid energy system combining sorption-enhanced chemical looping reforming of methanol (SECL-OSRM), a high-temperature proton-exchange membrane fuel cell (HT-PEMFC), and a recuperative–regenerative organic Rankine cycle (RR-ORC) to enhance system performance and sustainability. A comprehensive process model was developed, and multi-objective optimization (MOO) was conducted using Non-dominated Sorting Genetic Algorithm II (NSGA-II) and the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method to maximize efficiency while minimizing exergy destruction and total system cost rate. The best compromise solution achieved a system efficiency of 42.04%, exergy destruction of 148.1 kW, and a total system cost rate of 11.67 USD/h. The study emphasizes an ideal framework for efficiently optimizing hybrid energy systems, providing insights into interactions between system components and parameters for developing advanced energy systems. The integration of waste heat recovery and consideration of CO poisoning effects in fuel cells enhance the realism of system modeling, contributing to improved efficiency and sustainability in energy production.