• DocumentCode
    722474
  • Title

    Optimal retrofitting of a hybrid propulsion system using NSGA-II algorithm for trailing suction hopper dredger

  • Author

    Keyi Zhan ; Haibo Gao ; Hui Chen ; Zhiguo Lin

  • Author_Institution
    Sch. of Energy & Power Eng., Wuhan Univ. of Technol., Wuhan, China
  • fYear
    2015
  • fDate
    21-24 June 2015
  • Firstpage
    201
  • Lastpage
    206
  • Abstract
    Traditional trailing suction hopper dredgers (TSHDs) are generally equipped with diesel engines as single power source. The diesel engines must be sized to cater for the maximum power demand, so they are significantly oversized most of the time. To solve this problem, an optimal retrofitting concept is proposed for matching main power equipments in hybrid propulsion system for a TSHD. The nondominated sorting genetic algorithm II (NSGA-II) is adopted to optimize the hybrid propulsion system design. Power equipments here include main engine, Variable Speed Drive (VSD), battery bank. The optimization is concerned with minimization of total installation weight and fuel consumption, also with limiting the value of State of Charge (SOC) by using graduated system of punishment. The different solutions are reflected in final Pareto front.
  • Keywords
    Pareto optimisation; diesel engines; electric propulsion; genetic algorithms; hybrid power systems; power apparatus; variable speed drives; NSGA-II algorithm; Pareto optimization; SOC; TSHD; VSD; battery bank; diesel engines; fuel consumption; hybrid propulsion system; optimal retrofitting concept; power equipment; state of charge; trailing suction hopper dredger; variable speed drive; Batteries; Engines; Fuels; Power demand; Propulsion; Sorting; System-on-chip; NSGA-II; graduated system of punishment; hybrid propulsion; trailing suction hopper dredger;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electric Ship Technologies Symposium (ESTS), 2015 IEEE
  • Conference_Location
    Alexandria, VA
  • Print_ISBN
    978-1-4799-1856-0
  • Type

    conf

  • DOI
    10.1109/ESTS.2015.7157888
  • Filename
    7157888