Energy consumption modeling of ships: towards a Door-to-Door (D2D) freight optimization

The study focuses on understanding the complex dynamics of ships to estimate their energy consumption. By integrating existing knowledge, the research aims to develop a simplified model and a derived open-source simulator that replicates ship behavior under various environmental and operational conditions. The methods will encompass a thorough literature review, development of a simplified ship dynamics model, and model validation. Upon completion, the study’s findings will be shared through reports, academic journals, and potentially, an open-source simulator. Collaboration with industry and government bodies for practical implementation may also be explored.

    Language

    • English

    Project

    • Status: Active
    • Funding: $100000
    • Contract Numbers:

      69A3552348303

    • Sponsor Organizations:

      Sustainable Mobility and Accessibility Regional Transportation Equity Research Center

      Morgan State University
      Baltimore, MD  United States 

      Office of the Assistant Secretary for Research and Technology

      University Transportation Centers Program
      Department of Transportation
      Washington, DC  United States  20590
    • Project Managers:

      Niehaus, Joseph

    • Performing Organizations:

      Virginia Polytechnic Institute and State University, Blacksburg

      Virginia Tech Transportation Institute
      3500 Transportation Research Plaza
      Blacksburg, VA  United States  24061
    • Principal Investigators:

      Rakha, Hesham

      Aredah, Ahmed

    • Start Date: 20230901
    • Expected Completion Date: 20240901
    • Actual Completion Date: 0
    • USDOT Program: University Transportation Centers

    Subject/Index Terms

    Filing Info

    • Accession Number: 01893873
    • Record Type: Research project
    • Source Agency: Sustainable Mobility and Accessibility Regional Transportation Equity Research Center
    • Contract Numbers: 69A3552348303
    • Files: UTC, RIP
    • Created Date: Sep 21 2023 2:11PM