混凝土骨料预冷系统能源优化仿真研究  

Energy Optimization on Precooling System of Concrete Aggregate of Dam

作　　者：叶敏[1] 叶志强[1] 焦生杰[1] 

机构地区：[1]长安大学公路养护装备国家工程实验室,西安710064

出　　处：《系统仿真学报》2014年第11期2624-2629,共6页Journal of System Simulation

基　　金：教育部博士点基金(20110205110002)

摘　　要：依据混凝土水电站气候温度条件,采用传统经验法设计了大坝混凝土骨料预冷系统。基于共轭传热理论,分析了影响骨料冷却效率的关键参数。以冷却系统的能源消耗最低为目标,应用遗传算法对不同冷风速度、料层厚度和冷却时间进行了综合优化。利用Ansys Workbench软件建立了骨料颗粒冷却的流固共轭传热模型,采用加权法求取骨料平均温度作为遗传优化的判别条件。仿真研究了优化前后骨料仓内的颗粒温度分布,结果表明在保证总体冷却效果的同时,优化方案的经济性可提高36%。所提优化方法为混凝土预冷系统的高效节能奠定了理论基础,可在工程建设中推广应用。According to the weather and temperature condition of the hydropower station, the precooling system for the concrete mixture was designed according to the traditional experience. The key factors affecting the efficiency of concrete aggregate cooling were analyzed based on the conjugate thermal transport theory. To minimize the whole energy consuming of the precooling system, The different cooling air velocity, aggregate layer thickness, and cooling period were optimized by the genetic algorithm. The Ansys Workbench software was utilized to establish the simulation model of the aggregate cooling, thinking about the conjugate thermal transform coupling the solid and fluid states. The average temperature of the concrete aggregate was calculated and selected as the switch situation for the genetic algorithm. The temperature distribution of aggregate particle between the optimization and the traditional method was simulated. The results show that the economy characteristics of the optimization method are 30% more than that of the traditional experience method. The research paved for the energy saving of the hydropower station and can be widely used in engineering construction.

关 键 词：混凝土预冷 遗传优化 共轭传热 经济性 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]