{"id":{"repo_id":"royalroads","oai_identifier":"oai:null:10613/27569"},"canonical_url":"https://search.dev.ndltd.org/etd/royalroads/oai:null:10613/27569","repository":{"repo_id":"royalroads","name":"Royal Roads University","base_url":"https://www.viurrspace.ca/server/oai/request"},"display":{"title":"Optimization of a Hydrogen Alternative Aviation Fuel Supply Chain Under Demand and Emissions Constraints - A Case Study of Canada","abstract":"The potential of using hydrogen-based alternative aviation fuels, to meet national greenhouse gas (GHG) emissions reduction commitments was investigated using a mixed-integer-linear-program (MILP) optimization model that minimized the total energy consumed “energy intensity” for a hydrogen-based alternative aviation fuel supply chain. The model provided (i) optimal jet fuel blend ratios and, (ii) the number and types of hydrogen production plants that would meet forecasted demand and GHG reduction target constraints. The model was optimized for time horizons of 2035, 2050, 2065, and 2080 in Canada, assessing distribution and resilience scenarios. By 2065, two resilient hydrogen infrastructure pathways emerged: one with 556 polymer-exchange-membrane-electrolysis (PEM), 4 Nuclear-Solid Oxide Electrolysis (SOE), and 2 Steam Methane Reforming Carbon Capture and Storage (SMR-CCS) plants, and another with 24 Alkaline Electrolysis (AE), 7 Nuclear-SOE, and 6 SMR-CCS plants. The 2080 net-zero solution was not found using this model due to GHG emissions in hydrogen production.","abstract_html":"The potential of using hydrogen-based alternative aviation fuels, to meet national greenhouse gas (GHG) emissions reduction commitments was investigated using a mixed-integer-linear-program (MILP) optimization model that minimized the total energy consumed “energy intensity” for a hydrogen-based alternative aviation fuel supply chain. The model provided (i) optimal jet fuel blend ratios and, (ii) the number and types of hydrogen production plants that would meet forecasted demand and GHG reduction target constraints. The model was optimized for time horizons of 2035, 2050, 2065, and 2080 in Canada, assessing distribution and resilience scenarios. By 2065, two resilient hydrogen infrastructure pathways emerged: one with 556 polymer-exchange-membrane-electrolysis (PEM), 4 Nuclear-Solid Oxide Electrolysis (SOE), and 2 Steam Methane Reforming Carbon Capture and Storage (SMR-CCS) plants, and another with 24 Alkaline Electrolysis (AE), 7 Nuclear-SOE, and 6 SMR-CCS plants. The 2080 net-zero solution was not found using this model due to GHG emissions in hydrogen production.","abstract_has_math":false,"creators":["Poirier, Eric"],"institution":null,"degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":[],"advisors":["Grundy, Stephen"],"committee_chairs":[],"committee_members":[],"year":2023,"date_issued":"2023","date_published":"2023","updated_at":"2026-07-27T20:48:26Z","subjects":["School of environment and sustainability"],"languages":["en_US"],"rights":[],"rights_urls":[],"identifier_entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["https://doi.org/10.25316/IR-19243"],"render_values":[{"text":"https://doi.org/10.25316/IR-19243","href":"https://doi.org/10.25316/IR-19243","code":true}]}]},"links":{"outbound_url":"https://hdl.handle.net/10613/27569","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Grundy, Stephen"]},{"key":"dc:creator","label":"Author","values":["Poirier, Eric"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2023-12-18T16:51:56Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2023-12-18T16:51:56Z"]},{"key":"dc:date.issued","label":"Date","values":["2023"]},{"key":"dc:type","label":"Dc Type","values":["Thesis"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["School of environment and sustainability"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language.iso","label":"Language (ISO)","values":["en_US"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["https://hdl.handle.net/10613/27569","https://doi.org/10.25316/IR-19243"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["2023"]},{"key":"dc:description.abstract","label":"Abstract","values":["The potential of using hydrogen-based alternative aviation fuels, to meet national greenhouse gas (GHG) emissions reduction commitments was investigated using a mixed-integer-linear-program (MILP) optimization model that minimized the total energy consumed “energy intensity” for a hydrogen-based alternative aviation fuel supply chain. The model provided (i) optimal jet fuel blend ratios and, (ii) the number and types of hydrogen production plants that would meet forecasted demand and GHG reduction target constraints. The model was optimized for time horizons of 2035, 2050, 2065, and 2080 in Canada, assessing distribution and resilience scenarios. By 2065, two resilient hydrogen infrastructure pathways emerged: one with 556 polymer-exchange-membrane-electrolysis (PEM), 4 Nuclear-Solid Oxide Electrolysis (SOE), and 2 Steam Methane Reforming Carbon Capture and Storage (SMR-CCS) plants, and another with 24 Alkaline Electrolysis (AE), 7 Nuclear-SOE, and 6 SMR-CCS plants. The 2080 net-zero solution was not found using this model due to GHG emissions in hydrogen production."]},{"key":"dc:title","label":"Title","values":["Optimization of a Hydrogen Alternative Aviation Fuel Supply Chain Under Demand and Emissions Constraints - A Case Study of Canada"]}]}],"canonical_facts":{"dc:contributor.advisor":["Grundy, Stephen"],"dc:creator":["Poirier, Eric"],"dc:date.accessioned":["2023-12-18T16:51:56Z"],"dc:date.available":["2023-12-18T16:51:56Z"],"dc:date.issued":["2023"],"dc:description":["2023"],"dc:description.abstract":["The potential of using hydrogen-based alternative aviation fuels, to meet national greenhouse gas (GHG) emissions reduction commitments was investigated using a mixed-integer-linear-program (MILP) optimization model that minimized the total energy consumed “energy intensity” for a hydrogen-based alternative aviation fuel supply chain. The model provided (i) optimal jet fuel blend ratios and, (ii) the number and types of hydrogen production plants that would meet forecasted demand and GHG reduction target constraints. The model was optimized for time horizons of 2035, 2050, 2065, and 2080 in Canada, assessing distribution and resilience scenarios. By 2065, two resilient hydrogen infrastructure pathways emerged: one with 556 polymer-exchange-membrane-electrolysis (PEM), 4 Nuclear-Solid Oxide Electrolysis (SOE), and 2 Steam Methane Reforming Carbon Capture and Storage (SMR-CCS) plants, and another with 24 Alkaline Electrolysis (AE), 7 Nuclear-SOE, and 6 SMR-CCS plants. The 2080 net-zero solution was not found using this model due to GHG emissions in hydrogen production."],"dc:identifier.uri":["https://hdl.handle.net/10613/27569","https://doi.org/10.25316/IR-19243"],"dc:language.iso":["en_US"],"dc:subject":["School of environment and sustainability"],"dc:title":["Optimization of a Hydrogen Alternative Aviation Fuel Supply Chain Under Demand and Emissions Constraints - A Case Study of Canada"],"dc:type":["Thesis"]},"updated_at":"2026-07-27T20:48:26Z"}