一种相变储热器内翅片结构的快速优化算法
摘要：相变储热技术在太阳能热发电领域具有广阔的应用前景，翅片可以有效提升相变储热器的充放热速率。然而，相变储热的动态非线性特征严重制约了储热器内翅片结构的优化研究，因此提出了一种用于优化相变储热器内翅片结构的快速优化算法。该算法以相变材料到翅片和冷源的距离最短为优化目标，利用遗传算法对翅片的结构进行优化，解决了传统数值优化方法耗时长的问题。以管壳式相变储热器内一级Y形翅片为例，在满足翅片材料用量一定的前提下，选择Y形翅片的各分支长度、宽度比以及分支夹角作为设计变量，并对翅片的数量进行了影响分析。结果表明：提出的优化目标具有可行性，优化后的翅片结构呈现箭头形。在所研究的放热工况下，相比于传统Y形翅片，当翅片数量为1~3时，优化后的翅片结构可以使完全凝固时间缩短41.3%~62.1%。
Abstract:The phase change thermal storage technology has broad application prospects in the field of solar thermal power generation and the fins can effectively increase the charge and release rate of the phase change heat storage. However, the dynamic nonlinear characteristics of phase change heat storage seriously restrict the optimization of fin structures. Therefore, this paper proposed a fast optimization algorithm for optimizing the fin structure of the phase change heat storage. The algorithm takes the shortest distance from the phase change material to the fin and the cold source as the optimization objective, and uses the genetic algorithm to optimize the structure of fin. This method solves the time-consuming problem of traditional numerical optimization methods. The one-level Y-shaped fin in a shell and tube phase change heat storage was taken as an example. Under the premise of meeting a certain amount of fin material, the width ratio and length of each branch and the angle between branches of Y-shaped fin were selected as the design variables, and the influence of the number of fins was analyzed. The results show that the optimization objective proposed in this paper is feasible, and the optimized fin structure presents an arrow shape. Under the heat release conditions studied in this paper, compared with the traditional Y-shaped fins, the optimized fin structure can shorten the complete solidification time by 41.3%-62.1% when the number of fins is 1-3.
标题：一种相变储热器内翅片结构的快速优化算法
title:A Fast Optimization Algorithm for Fin Structure of Phase Change Thermal Storage
作者：蔡肖, 徐阳, 杨超, 郑章靖
authors:Xiao CAI, Yang XU, Chao YANG, Zhangjing ZHENG
关键词：相变储热,凝固过程,Y形翅片,结构优化,遗传算法,
keywords:phase change theermal storage,solidification process,Y-shaped fin,structure optimization,genetic algorithm,
发表日期：2022-02-28
- 文件大小:
- 2.58 MB
- 下载次数:
- 60
-
高速下载
|
|
