Framework for Quantifying Uncertainty in Electric Ship Design

Isaac R. Porche III, Henry H. Willis, Martin Ruszkowski

ResearchPublished Dec 20, 2004

The Office of Naval Research has been sponsoring development of analytic tools for exploring the benefits of electric drive propulsion for naval vessels. RAND has performed an initial assessment to assist in this work. Researchers focused on developing a framework for assessing the different technologies for key components of electric propulsion, such as motors, generators, and power electronics, but did not assess specific alternatives. This documented briefing outlines the approach the authors developed for making such assessments (which uses modeling and Monte Carlo simulations), presents the quantitative methods they used to analyze the potential performance of various components, suggests how this information can be integrated to assess the affects on overall ship performance. The authors illustrate this by presenting performance metrics for several components and examining their effects on one key ship-level performance metric, ship power density for a notional electric-propulsion destroyer.

Topics

Document Details

  • Availability: Web Only
  • Year: 2004
  • Pages: 86
  • Document Number: DB-407-ONR

Citation

Chicago Manual of Style

Porche, Isaac R. III, Henry H. Willis, and Martin Ruszkowski, Framework for Quantifying Uncertainty in Electric Ship Design. Santa Monica, CA: RAND Corporation, 2004. https://www.rand.org/pubs/documented_briefings/DB407.html.
BibTeX RIS

This publication is part of the RAND documented briefing series. Documented briefings are based on research presented to a client, sponsor, or targeted audience in briefing format. Additional information is provided in the documented briefing in the form of the written narration accompanying the briefing charts.

This document and trademark(s) contained herein are protected by law. This representation of RAND intellectual property is provided for noncommercial use only. Unauthorized posting of this publication online is prohibited; linking directly to this product page is encouraged. Permission is required from RAND to reproduce, or reuse in another form, any of its research documents for commercial purposes. For information on reprint and reuse permissions, please visit www.rand.org/pubs/permissions.

RAND is a nonprofit institution that helps improve policy and decisionmaking through research and analysis. RAND's publications do not necessarily reflect the opinions of its research clients and sponsors.