Optimization Design of the Grate Cooler Based on the Power Flow Method and Genetic Algorithms

作     者：MA Xiaoteng CAO Qun CUI Zheng MA Xiaoteng;CAO Qun;CUI Zheng

作者机构：Institute of Thermal Science and TechnologyShandong UniversityJi'an 250061China 

基　　金：supported by the Shandong Provincial Natural Science Foundation(Grant No.ZR2019QEE016) 

出 版 物：《Journal of Thermal Science》 (热科学学报（英文版）)

年 卷 期：2020年第29卷第6期

页      码：1617-1626页

摘      要：As an important process during the cement production,grate cooler plays significance roles on clinker cooling and waste heat *** this paper,we measured experimentally the heat balance of the grate cooler,which provided initial operating parameters for ***,the grate cooler was simplified into a series-connected heat exchanger network by power flow *** the equivalent thermal resistance network provided the global constraints by Kirchhoff’s *** this basis,with the objectives of the minimum entropy generation numbers caused by heat transfer and viscous dissipation,solving a multi-objective optimization model achieved the Pareto Front by genetic *** selecting the scheme of the lowest fan power consumption obtained the optimal operating parameters of the grate *** results showed that the total mass flow of the optimized scheme did not change significantly compared with the original scheme,but the fan power consumption was 25.44%lower,and the heat recovery efficiency was 88.43%,which was improved by 11.35%.Furthermore,the analysis showed that the optimal operating parameters were affected by the local heat *** optimizing the diameter of clinker particles within the allowable industrial range,the clinker with particle diameter of 0.02 m had the optimal performance.

主 题 词：power flow method genetic algorithm grate cooler entropy generation minimization multi-objective optimization 

学科分类：080706[080706] 08[工学] 0807[工学-电子信息类] 

核心收录：

D　O　I：10.1007/s11630-019-1188-3

馆 藏 号：203885064...