Genetic algorithm based optimization of nozzle profiles for a hydrogen turbo-expander

IF 1.8 3区工程技术 Q3 PHYSICS, APPLIED

Cryogenics Pub Date : 2024-08-03 DOI:10.1016/j.cryogenics.2024.103920

{"title":"Genetic algorithm based optimization of nozzle profiles for a hydrogen turbo-expander","authors":"","doi":"10.1016/j.cryogenics.2024.103920","DOIUrl":null,"url":null,"abstract":"<div><p>Liquid hydrogen plays an important role in the large scale storage and long-distance transportation. The development of hydrogen turbo-expander is the key to increase the efficiency of hydrogen liquefaction, reducing the cost of liquid hydrogen production, storage and transportation. In this paper, a numerical model of hydrogen nozzle is established and validated against experimental data. The performance of four traditional nozzle profiles in hydrogen turbo-expanders is simulated and analyzed. The poor uniformity of outlet flow angle is generally found in these nozzle profiles, leading to nozzle passage and impeller incidence losses in turbo-expanders. A genetic algorithm based method is proposed to optimize the nozzle profiles. The optimization objectives involve the nozzle efficiency, the uniformity of the nozzle outlet angle and the uniformity of the outlet Mach number. The deviations in the outlet angle and Mach number of the optimized nozzle are reduced by 50.26 % and 14.03 %, respectively, while the nozzle efficiency reaches 98.64 %. The matching characteristics of the optimized nozzle with the impeller are obtained via simulation of a hydrogen turbo-expander, and the results indicate the expansion efficiency can be increased by 1.53 %.</p></div>","PeriodicalId":10812,"journal":{"name":"Cryogenics","volume":null,"pages":null},"PeriodicalIF":1.8000,"publicationDate":"2024-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cryogenics","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0011227524001401","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"PHYSICS, APPLIED","Score":null,"Total":0}

引用次数: 0

Abstract

Liquid hydrogen plays an important role in the large scale storage and long-distance transportation. The development of hydrogen turbo-expander is the key to increase the efficiency of hydrogen liquefaction, reducing the cost of liquid hydrogen production, storage and transportation. In this paper, a numerical model of hydrogen nozzle is established and validated against experimental data. The performance of four traditional nozzle profiles in hydrogen turbo-expanders is simulated and analyzed. The poor uniformity of outlet flow angle is generally found in these nozzle profiles, leading to nozzle passage and impeller incidence losses in turbo-expanders. A genetic algorithm based method is proposed to optimize the nozzle profiles. The optimization objectives involve the nozzle efficiency, the uniformity of the nozzle outlet angle and the uniformity of the outlet Mach number. The deviations in the outlet angle and Mach number of the optimized nozzle are reduced by 50.26 % and 14.03 %, respectively, while the nozzle efficiency reaches 98.64 %. The matching characteristics of the optimized nozzle with the impeller are obtained via simulation of a hydrogen turbo-expander, and the results indicate the expansion efficiency can be increased by 1.53 %.

查看原文本刊更多论文

基于遗传算法的氢气涡轮膨胀机喷嘴轮廓优化设计

液氢在大规模储存和长距离运输中发挥着重要作用。氢气涡轮膨胀机的开发是提高氢气液化效率、降低液氢生产、储存和运输成本的关键。本文建立了氢气喷嘴的数值模型，并根据实验数据进行了验证。模拟并分析了氢气涡轮膨胀机中四种传统喷嘴剖面的性能。这些喷嘴剖面普遍存在出口流角均匀性差的问题，导致涡轮膨胀机中喷嘴通道和叶轮入射损失。本文提出了一种基于遗传算法的喷嘴剖面优化方法。优化目标包括喷嘴效率、喷嘴出口角的均匀性和出口马赫数的均匀性。优化后喷嘴的出口角和马赫数偏差分别减少了 50.26 % 和 14.03 %，喷嘴效率达到 98.64 %。通过模拟氢气涡轮膨胀机，获得了优化喷嘴与叶轮的匹配特性，结果表明膨胀效率可提高 1.53%。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Cryogenics 物理-热力学

CiteScore

3.80

自引率

9.50%

发文量

审稿时长

2.1 months

期刊介绍： Cryogenics is the world''s leading journal focusing on all aspects of cryoengineering and cryogenics. Papers published in Cryogenics cover a wide variety of subjects in low temperature engineering and research. Among the areas covered are: - Applications of superconductivity: magnets, electronics, devices - Superconductors and their properties - Properties of materials: metals, alloys, composites, polymers, insulations - New applications of cryogenic technology to processes, devices, machinery - Refrigeration and liquefaction technology - Thermodynamics - Fluid properties and fluid mechanics - Heat transfer - Thermometry and measurement science - Cryogenics in medicine - Cryoelectronics