MODELING AND SIMULATION–BASED ASSESSMENT OF RENEWABLE FUELS FOR UNMANNED MARINE VESSELS: A FOCUS ON ENERGY DENSITY AND OPERATIONAL EFFECTIVENESS

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Authors
Goh, Jin Hong Alvin
Subjects
alternative fuel
unmanned
naval
energy density
unmanned surface vessel
USV
Advisors
Beery, Paul T.
Date of Issue
2024-09
Date
Publisher
Monterey, CA; Naval Postgraduate School
Language
Abstract
The objective of this research is to develop a capability using discrete event simulation to evaluate the operational effectiveness of a future fleet of unmanned surface vessels (USVs) powered by alternative fuels, focusing on key factors such as energy density, engine efficiency, and logistical support. Energy density, defined as the amount of energy stored per unit volume (or mass) of fuel, and engine efficiency, which refers to the ratio of useful power output to the total energy input, are identified as critical factors in USV performance. Through partition tree and regression analyses, three critical findings emerge. First, existing alternative fuels fall short of the required energy density to match diesel fuel, significantly impacting operational performance. Second, while engine efficiency plays a vital role in extending mission durations, its benefits are constrained by the energy density of the fuel used. Third, although infrastructure improvements can partially compensate for lower energy density, overreliance on these enhancements may lead to suboptimal outcomes. These findings underscore the urgent need to develop alternative fuels with higher energy densities and improved engine efficiencies to ensure the future fleet's effectiveness.
Type
Thesis
Description
URI
https://hdl.handle.net/10945/73317
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Department
Systems Engineering (SE)
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Distribution Statement A. Approved for public release: Distribution is unlimited.
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