中南大学学报（自然科学版）2012，Vol.43Issue(1)：366-371,6.
基于模拟退火算法的低温余热发电系统参数优化
Parametric optimization of low-temperature waste heat power generation system by simulated annealing algorithm
摘要
Abstract
An optimized mathematical model was established to improve the performance of low-temperature waste heat power generation system. The ratio of the total heat exchanger area to net power output was used as the objective function and it was optimized using the simulated annealing algorithm. The heat resource is the flue gas when the mass flow is 62 kg/s and temperature is 120 °C. When the minimum temperature difference between evaporator and flue gas is 10°C, the results show that the optimal pressure and velocity in evaporator are 0.615 Mpa and 1.23 m/s, respectively. And the optimal pressure and velocity in condenser are 0.102 Mpa and 1.37 m/s, respectively. The ratio of the total heat exchanger area to net power output decreases by 23% compared with conventional method. The optimal value of objective function reaches the minimum when the heat source temperature is 200 ℃. In order to get lower value of objective function and higher net power output, the proper temperature difference of evaporator is 15 ℃.关键词
参数优化/模拟退火/余热发电Key words
parametric optimization/ simulated annealing algorithm/ waste heat power generation分类
能源科技引用本文复制引用
王志奇,周乃君,郭静,王晓元..基于模拟退火算法的低温余热发电系统参数优化[J].中南大学学报（自然科学版）,2012,43(1):366-371,6.基金项目
湖南省科技厅计划项目(2009GK2009) （2009GK2009）
科技部中小企业创新基金资助项目(08C26224302178) （08C26224302178）
