Optimization of cold-end system of thermal power plants based on entropy generation minimization

作     者：Yue FU Yongliang ZHAO Ming LIU Jinshi WANG Junjie YAN Yue FU;Yongliang ZHAO;Ming LIU;Jinshi WANG;Junjie YAN

作者机构：State Key Laboratory of Multiphase Flow in Power EngineeringXi’an Jiaotong UniversityXi’an 710049China 

出 版 物：《Frontiers in Energy》 (能源前沿（英文版）)

年 卷 期：2022年第16卷第6期

页      面：956-972页

核心收录：

学科分类：080802[工学-电力系统及其自动化] 0808[工学-电气工程] 08[工学] 

基　　金：supported the National Key R&D Program of China(No.2018YFB0604405) 

主　　题：cold-end system entropy generation minimization optimization economic analysis genetic algorithm(GA) 

摘      要：Cold-end systems are heat sinks of thermal power cycles,which have an essential effect on the overall performance of thermal power *** enhance the efficiency of thermal power plants,multi-pressure condensers have been applied in some large-capacity thermal power ***,little attention has been paid to the optimization of the cold-end system with multi-pressure condensers which have multiple parameters to be ***,the design optimization methods of coldend systems with single-and multi-pressure condensers are developed based on the entropy generation rate,and the genetic algorithm(GA)is used to optimize multiple *** parameters,including heat transfer area of multi-pressure condensers,steam distribution in condensers,and cooling water mass flow rate,are optimized while considering detailed entropy generation rate of the cold-end *** results show that the entropy generation rate of the multi-pressure cold-end system is less than that of the single-pressure cold-end system when the total condenser area is ***,the economic performance can be improved with the adoption of the multi-pressure cold-end *** compared with the single-pressure cold-end system,the excess revenues gained by using dual-and quadruplepressure cold-end systems are 575 and 580 k$/a,respectively.