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基于模拟退火算法的低温余热发电系统参数优化
引用本文: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
作者姓名:王志奇  周乃君  郭静  王晓元
作者单位:1. 中南大学能源科学与工程学院,湖南长沙,410083;湘潭大学机械工程学院,湖南湘潭,410005
2. 中南大学能源科学与工程学院,湖南长沙,410083
基金项目:湖南省科技厅计划项目(2009GK2009);科技部中小企业创新基金资助项目(08C26224302178)
摘    要:为提高低温余热发电系统的综合性能,以单位发电量所需换热面积为目标函数,采用模拟退火算法对ORC系统的参数进行优化。研究结果表明:当热源温度和流量分别为120℃与62 kg/s,蒸发器内最小传热温差为10℃时,蒸发器内的最佳压力和流速分别为0.615 MPa与1.23 m/s;冷凝器内的最佳压力和流速分别为0.102 MPa与1.37 m/s;与传统算法相比,优化结果使单位发电量所需换热面积减少23%。随着热源温度的升高,最优目标函数值先降低后升高,在热源温度为200℃时达到最低值;综合考虑目标函数值及系统输出净功,蒸发器内合适的最小传热温差为15℃。

关 键 词:参数优化  模拟退火  余热发电

Parametric optimization of low-temperature waste heat power generation system by simulated annealing algorithm
WANG Zhi-qi , ZHOU Nai-jun , GUO Jing , WANG Xiao-yuan. Parametric optimization of low-temperature waste heat power generation system by simulated annealing algorithm[J]. Journal of Central South University:Science and Technology, 2012, 43(1): 366-371
Authors:WANG Zhi-qi    ZHOU Nai-jun    GUO Jing    WANG Xiao-yuan
Affiliation:1 (1.School of Energy Science and Engineering,Central South University,Changsha 410083,China; 2.Institute of Mechanical Engineering,Xiangtan University,Xiangtan 411105,China)
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 ℃.When the minimum temperature difference between evaporator and flue gas is 10℃,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 ℃.
Keywords:parametric optimization  simulated annealing algorithm  waste heat power generation
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