Framework for Quantifying Uncertainty in Electric Ship Design

Abstract

XThis documented briefing outlines an approach for examining alternative technologies for electric ship design. We used quantitative methods for estimating the performance distribution of individual components and for integrating this information to obtain distributions of overall ship performance measures. To provide an example of the usefulness of these methods, we consider several component performance metrics for several components (motors, generators, power electronics, etc.) and examine their effects on one key ship-level performance metric, ship power density for a notional electric-propulsion destroyer. This framework features Monte Carlo simulation techniques.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2004
Accession Number
ADA423899

Entities

People

  • Henry H. Willis
  • Isaac Porche
  • Martin Ruszkowski

Organizations

  • RAND Corporation

Tags

Communities of Interest

  • Advanced Electronics
  • Energy and Power Technologies
  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Basic Programming Language
  • C Programming Language
  • Computer Programming
  • Electric Generators
  • Electric Motors
  • Electric Power
  • Electric Propulsion
  • Engineers
  • Naval Warfare
  • Navy
  • Power Electronics
  • Propulsion Systems
  • Risk Analysis
  • Spreadsheet Software
  • Turbines
  • Uss Arleigh Burke
  • Uss Curtis Wilbur

Readers

  • Electrical Engineering
  • Statistical inference.
  • Systems Analysis and Design

Technology Areas

  • Microelectronics