Lingzi Wang , Yiling Liao , Xiaoming Liu , Yi Guo , Jianmei Feng , Xueyuan Peng
{"title":"Multi-objective optimization of the gas valve and liquid piston in the ionic liquid hydrogen compressor","authors":"Lingzi Wang , Yiling Liao , Xiaoming Liu , Yi Guo , Jianmei Feng , Xueyuan Peng","doi":"10.1016/j.ijhydene.2025.03.200","DOIUrl":null,"url":null,"abstract":"<div><div>This paper presents a multi-objective optimization for the self-acting valve of the ionic liquid hydrogen compressor. A Taguchi method was employed to investigate the effects of four design parameters on the performance indicators of energy storage (<em>E</em>) and isothermal efficiency (<em>η</em>). The signal-to-noise ratio (SNR) and mean signal-to-noise ratio (MSNR), along with analysis of variance (ANOVA), were used to identify the critical design parameters and their contribution rates to the compressor's performance. A bi-objective optimization of <em>E</em> and <em>η</em> was conducted with grey relational analysis (GRA) employed to obtain the parameter combination closest to the optimal setting. The results indicated that the Mach number had the greatest impact on <em>E</em> and <em>η</em>, with contribution rates of 61.59 % and 81.85 %, respectively. The optimal design parameters were identified as spring stiffness of 100 N/m, Mach number of 0.015, valve disc density of 8.9 g/cm<sup>3</sup>, and initial liquid piston height of 50 mm.</div></div>","PeriodicalId":337,"journal":{"name":"International Journal of Hydrogen Energy","volume":"118 ","pages":"Pages 312-322"},"PeriodicalIF":8.1000,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Hydrogen Energy","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0360319925013138","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, PHYSICAL","Score":null,"Total":0}
引用次数: 0
Abstract
This paper presents a multi-objective optimization for the self-acting valve of the ionic liquid hydrogen compressor. A Taguchi method was employed to investigate the effects of four design parameters on the performance indicators of energy storage (E) and isothermal efficiency (η). The signal-to-noise ratio (SNR) and mean signal-to-noise ratio (MSNR), along with analysis of variance (ANOVA), were used to identify the critical design parameters and their contribution rates to the compressor's performance. A bi-objective optimization of E and η was conducted with grey relational analysis (GRA) employed to obtain the parameter combination closest to the optimal setting. The results indicated that the Mach number had the greatest impact on E and η, with contribution rates of 61.59 % and 81.85 %, respectively. The optimal design parameters were identified as spring stiffness of 100 N/m, Mach number of 0.015, valve disc density of 8.9 g/cm3, and initial liquid piston height of 50 mm.
期刊介绍:
The objective of the International Journal of Hydrogen Energy is to facilitate the exchange of new ideas, technological advancements, and research findings in the field of Hydrogen Energy among scientists and engineers worldwide. This journal showcases original research, both analytical and experimental, covering various aspects of Hydrogen Energy. These include production, storage, transmission, utilization, enabling technologies, environmental impact, economic considerations, and global perspectives on hydrogen and its carriers such as NH3, CH4, alcohols, etc.
The utilization aspect encompasses various methods such as thermochemical (combustion), photochemical, electrochemical (fuel cells), and nuclear conversion of hydrogen, hydrogen isotopes, and hydrogen carriers into thermal, mechanical, and electrical energies. The applications of these energies can be found in transportation (including aerospace), industrial, commercial, and residential sectors.