Papers by Author: Hua Yan Li

Abstract: Energy saving is the best way to energy exploitation and environment protection, especially in the case of the low carbon economy. In this paper, a hybrid approach combining particle swarm optimization (PSO) and genetic algorithms (GA) is developed for optimization design of marine waste heat recovery system. Based on exergy analysis method, the waste heat utilization degree of the marine waste heat recovery system is discussed. Considering the superheated steam temperature, evaporation temperature, economizer inlet temperature, water supply temperature and condensation temperature, a mathematical model is constructed in which the exergy efficiency of marine waste heat recovery system is taken as the objective function for optimization design of marine waste heat recovery system. The mutation operator of GA is introduced to the PSO to solve the mathematical model of marine waste heat recovery system for the diversity of particles. The effectiveness of the approach is illustrated by an optimization example.

Abstract: Aiming at the complexity of mechanical devices and the polytrope of operating conditions for marine propulsion plant, the modeling and simulation of propeller and dull system are investigated based on MATLAB/Simulink. The simulation model of propeller and dull system is constructed in which the Chebyshev fit expression across four quadrants is given for the propeller. So it becomes practical to express static and dynamic properties of propeller and dull system. A luxury cruises fitted on two engines and two fixed pitch propellers is considered to perform simulation tests. The actual navigation conditions of marine propulsion plant, including starting, parking and reversing etc, are taken into account. The simulation results analysis illustrates the correctness and validity of modeling and simulation for propeller and dull system. Thus provides a new method for the optimization and design of marine propulsion plant.