Title :
Performance Prediction and Dynamic Simulation of Electric Ship Hybrid Power System
Author :
Jiang, Wei ; Fang, Ruixian ; Khan, Jamil ; Dougal, Roger
Author_Institution :
South Carolina Univ., Columbia
Abstract :
A hybrid power system for future electric ship is developed in the Virtual Test Bed (VTB) computational environment for the system-level performance prediction and dynamic investigation. The power system consists of a propulsion plant and a hybrid engine subsystem. Important system components such as the compressor, gas turbine, propeller and ship are described in detail and modeled in the VTB. A physics-based one-dimensional Solid Oxide Fuel Cell (SOFC) model is introduced here specifically for higher power density and better performance. To evaluate system-level performance both statically and dynamically, the following two investigations are carried out: 1) steady-state performance of power system; 2) the transient behavior of the system under a variety of operating conditions. Simulation results show that the hybrid power system could achieve a 68% total electrical efficiency (LHV) and an electrical power output of 1.66 MW, around 30% of which is produced by the power turbine while 70% is generated in SOFC stacks.
Keywords :
compressors; electric vehicles; gas turbines; hybrid power systems; naval engineering computing; power engineering computing; propellers; solid oxide fuel cells; SOFC model; compressor; electric ship hybrid power system; gas turbine; hybrid engine subsystem; power density; prediction-dynamic simulation; propeller; propulsion plant; solid oxide fuel cell; steady-state performance; virtual test bed; Computational modeling; Hybrid power systems; Marine vehicles; Power system dynamics; Power system modeling; Power system simulation; Power system transients; Predictive models; System testing; Turbines; SOFC; dynamic simulation; electric ship; hybrid; power system; turbine;
Conference_Titel :
Electric Ship Technologies Symposium, 2007. ESTS '07. IEEE
Conference_Location :
Arlington, VA
Print_ISBN :
1-4244-0947-0
Electronic_ISBN :
1-4244-0947-0
DOI :
10.1109/ESTS.2007.372131