Optimization of a Hydrogen Alternative Aviation Fuel Supply Chain Under Demand and Emissions Constraints - A Case Study of Canada

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.

Author dc:creator

• Poirier, Eric

Advisor dc:contributor.advisor

• Grundy, Stephen

• School of environment and sustainability

Language dc:language.iso

en_US

Identifier URI

https://doi.org/10.25316/IR-19243

OAI identifier oai:identifier

oai:null:10613/27569