Analyzing U.S. Navy F/A-18 Fuel Consumption for Purposes of Energy Conservation

Abstract

Energy usage and conservation are perennial challenges facing the Naval Aviation Enterprise (NAE) and the U.S. Navy (USN) writ large. In order to promote USN energy conservation, the Naval Air Systems Command (NAVAIR) established the Air Energy Conservation (Air ENCON) program to further analytics-driven energy consumption assessment, and assist the USN to meet broader conservation goals. This study used a flight sortie data set built by Deloitte Consulting, constructed from three separate data sources, to assess F/A-18 fuel consumption, aiding Air ENCON analysis goals. The data set, which was derived from aircraft memory unit (MU) recordings, Naval Aviation Flight Records (NAVFLIR), and the Sierra-Hotel Aviation Readiness Program (SHARP) records, consisted of more than 466,000 USN F/A-18 sorties spanning a four-year time frame. This research evaluated the veracity of sortie data fuel output metrics and identified broad fuel consumption trends despite a significant proportion of missing or unused information. Furthermore, this thesis documents the effectiveness of the data to predict fuel consumption by use of original and generated predictors in combination with various imputation methods. Results suggest that while statistical inference is difficult due to the amount of missing data, broad trends related to sortie location are identifiable, and models using imputation coupled with original and generated predictors exhibit the best results for predictive effectiveness.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2021
Accession Number
AD1150419

Entities

People

  • David Barnhill

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Air Platforms

DTIC Thesaurus Topics

  • Aerial Warfare
  • Aircraft Carriers
  • California
  • Combatant Commanders
  • Databases
  • Deployment
  • Energy Conservation
  • Fighter Aircraft
  • Fuel Consumption
  • Information Processing
  • Information Science
  • Maintenance
  • Military Science
  • Predictive Modeling
  • Reliability
  • Tanker Aircraft
  • Warfare

Fields of Study

  • Environmental science

Readers

  • Energy Conservation and Renewable Energy Engineering.
  • Maritime and Naval Warfare Studies
  • Regression Analysis.

Technology Areas

  • AI & ML