This 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.


    Access

    Access via TIB

    Check availability in my library


    Export, share and cite



    Title :

    Framework for Quantifying Uncertainty in Electric Ship Design


    Contributors:
    I. Porche (author) / H. Willis (author) / M. Ruszkowski (author)

    Publication date :

    2004


    Size :

    81 pages


    Type of media :

    Report


    Type of material :

    No indication


    Language :

    English




    Introducing Uncertainty in Multidiscipline Ship Design

    HANNAPEL, SHARI | Online Contents | 2010


    Ship design optimization framework

    George Gabriel Cotoc / Liliana Rusu / Florin Pacuraru et al. | DOAJ | 2022

    Free access

    A framework for quantifying fatigue deterioration of ship structures under changing climate conditions

    Tamimi, Mohammad F. / Khandel, Omid / Soliman, Mohamed | Taylor & Francis Verlag | 2022


    Exploring market uncertainty in early ship design

    Jesper Zwaginga / Ko Stroo / Austin Kana | DOAJ | 2021

    Free access

    Diesel-electric ship propulsion and ship design

    Winkler, F. | Engineering Index Backfile | 1938