Hydrogen Fuel Enabling Unmanned Capabilities

Abstract

This project conducted an operational analysis of the utility of hydrogen fuel to support unmanned systems in an Expeditionary Advanced Base Operations (EABO) context. The project developed a systems architecture to identify the relevant subsystems and design considerations for the construction of a hydrogen generation system. A discrete-event simulation model was created, using the ExtendSim software, to examine alternative system configurations and assess the sensitivity of candidate designs to alternative unmanned system operational concepts. Particular focus was given to the electrolysis power source, the study considered solar generation, low performance (rated for one kW) wind generation, high performance (rated for three kW) wind generation, and tidal/wave generation. Additionally, the project systematically varied both unmanned system and environmental characteristics as part of a designed experiment. Results indicate that the power generation type has a larger impact on operational performance than any environment factors as well as the design or employment of the associated unmanned systems. Specifically, solar generation is the preferred alternative for hydrogen generation.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 2022
Accession Number
AD1184548

Entities

People

  • Anthony Pollman
  • Bradley Petersen
  • Jonathan Schweichler
  • Paul Beery
  • Rachel Meyen-faria
  • Vanny Prak

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Autonomy
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Alternative Fuels
  • Electric Power Production
  • Electrolysis
  • Employment
  • Energy Transfer
  • Engineering
  • Environment
  • Experimental Design
  • Generators
  • Logistics
  • Marine Corps
  • Military Research
  • Regression Analysis
  • Solar Energy
  • Systems Engineering
  • Unmanned Aerial Vehicles
  • Unmanned Surface Vehicles
  • Unmanned Systems
  • Unmanned Underwater Vehicles
  • Unmanned Vehicles
  • Vehicles
  • Wind Turbines

Readers

  • Aerial Unmanned Vehicle Swarm Micro Periodontal Dentistry.
  • Computational Modeling and Simulation
  • Electrical Engineering

Technology Areas

  • Autonomy