Optimizing Hydrogen-Powered Aircraft Fleet Operations: A Mixed Integer Optimization Approach with Carbon Emission Consideration

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Location selection of hydrogenation stations are critical for the operation of hydrogen-powered aircraft due to the high investment costs and aircraft operating cost. The objective of this study is developing a mixed integer optimization model to solve the integrated fleet assignment and hydrogenation station location problem. In this model, hydrogen-powered aircraft are restricted to refuel at hydrogen-powered airports with hydrogen consumption cost associated with aircraft types. Unlike traditional fleet assignment problems, we are considering pure-hydrogen fleets with the goal of minimizing costs. Due to computational challenges in large problem instances, We introduce complex networking and illustrate how it can deliver high-quality solutions for large cases in a shorter computational time. The model was tested in both regional and non-regional case studies, involving Delta Airlines in the United States, which has 200 flights and 55 airports. The compact model formulation enables fast computation. This work represents an initial step towards the integration of hydrogen energy fleets into the existing aviation market.

Original languageEnglish
Title of host publication2023 Asia-Pacific International Symposium on Aerospace Technology, APISAT 2023, Proceedings - Volume I
EditorsSong Fu
PublisherSpringer Science and Business Media Deutschland GmbH
Pages174-188
Number of pages15
ISBN (Print)9789819739974
DOIs
StatePublished - 2024
EventAsia-Pacific International Symposium on Aerospace Technology, APISAT 2023 - Lingshui, China
Duration: 16 Oct 202318 Oct 2023

Publication series

NameLecture Notes in Electrical Engineering
Volume1050 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

ConferenceAsia-Pacific International Symposium on Aerospace Technology, APISAT 2023
Country/TerritoryChina
CityLingshui
Period16/10/2318/10/23

Keywords

  • Carbon emissions
  • Fleet assignment
  • Hydrogen-powered aircraft
  • Power generation

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