{"id":{"repo_id":"carleton","oai_identifier":"oai:carleton.scholaris.ca:20.500.14718/44763"},"canonical_url":"https://search.dev.ndltd.org/etd/carleton/oai:carleton.scholaris.ca:20.500.14718/44763","repository":{"repo_id":"carleton","name":"Carleton University","base_url":"https://carleton.scholaris.ca/server/oai/request"},"display":{"title":"Modelling and Optimization of Scalable Hydrogen Fuel Cell Systems for Aviation","abstract":"Fuel cell systems provide one possible technological pathway for sustainable aviation propulsion; however, aviation presents unique challenges for these systems. To address these challenges, this thesis presents a modelling, simulation, and optimization tool for the sizing and performance estimation of a fuel cell system operating in an aviation environment. The tool includes the drag from the thermal management system, optimal design of the compressor system considering the altitude, and a hydrogen storage system sizing procedure. The tool sizes components based on their on-design performance requirements, and completes an off-design performance analysis, ensuring that all components remain within their operational limits. An optimization algorithm is implemented that determines the component parameters that minimize the system mass and volume. The tool represents the first model to date that optimizes aircraft fuel cell systems considering the increased power demand from the thermal management system drag, with a high-fidelity hydrogen storage system sizing methodology.","abstract_html":"Fuel cell systems provide one possible technological pathway for sustainable aviation propulsion; however, aviation presents unique challenges for these systems. To address these challenges, this thesis presents a modelling, simulation, and optimization tool for the sizing and performance estimation of a fuel cell system operating in an aviation environment. The tool includes the drag from the thermal management system, optimal design of the compressor system considering the altitude, and a hydrogen storage system sizing procedure. The tool sizes components based on their on-design performance requirements, and completes an off-design performance analysis, ensuring that all components remain within their operational limits. An optimization algorithm is implemented that determines the component parameters that minimize the system mass and volume. 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