Optimization using the response surface methodology: Application to an ice crystallization process for seawater pretreatment

Ibtissam Baayyad, N. S. A. Hassani
{"title":"Optimization using the response surface methodology: Application to an ice crystallization process for seawater pretreatment","authors":"Ibtissam Baayyad, N. S. A. Hassani","doi":"10.1109/ICOA.2018.8370540","DOIUrl":null,"url":null,"abstract":"This study focuses on the optimization of a freeze crystallization process within a Scraped Surface Heat Exchanger (SSHE) using the response surface methodology (RSM). The process in question was developed and modeled in our previous work for a new hybrid seawater desalination system combining freezing for pretreatment and reverse osmosis [1, 2]. The process simulation allowed predicting interpretable physically trends of the seawater crystallization main key phenomena within the SSHE such us the suspension temperature evolution and the ice volume fraction. The objective of this work is to determine all operating conditions that result in the best process performance. Response surface methodology with MINITAB software has been used to find the optimum design operating point of the proposed new freeze seawater desalination pretreatment process.","PeriodicalId":433166,"journal":{"name":"2018 4th International Conference on Optimization and Applications (ICOA)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 4th International Conference on Optimization and Applications (ICOA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICOA.2018.8370540","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

This study focuses on the optimization of a freeze crystallization process within a Scraped Surface Heat Exchanger (SSHE) using the response surface methodology (RSM). The process in question was developed and modeled in our previous work for a new hybrid seawater desalination system combining freezing for pretreatment and reverse osmosis [1, 2]. The process simulation allowed predicting interpretable physically trends of the seawater crystallization main key phenomena within the SSHE such us the suspension temperature evolution and the ice volume fraction. The objective of this work is to determine all operating conditions that result in the best process performance. Response surface methodology with MINITAB software has been used to find the optimum design operating point of the proposed new freeze seawater desalination pretreatment process.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
响应面法优化:在海水预处理冰结晶过程中的应用
本研究的重点是利用响应面法(RSM)优化刮削表面热交换器(SSHE)内的冷冻结晶过程。我们在之前的研究中开发并模拟了一种新型混合海水淡化系统,该系统将冷冻预处理和反渗透相结合[1,2]。过程模拟可以预测SSHE内悬浮温度演化和冰体积分数等海水结晶主要关键现象的可解释物理趋势。这项工作的目标是确定导致最佳工艺性能的所有操作条件。利用MINITAB软件的响应面法,对提出的新型冷冻海水淡化预处理工艺进行了优化设计。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
The integrated production-inventory-routing problem in the context of reverse logistics: The case of collecting and remanufacturing of EOL products Parametric uncertainties effect on the performance of HAWT's induction machine: Bond graph approach Towards implementing lean construction in the Moroccan construction industry: Survey study A new multilevel inverter with genetic algorithm optimization for hybrid power station application Power-aware clock routing in 7nm designs
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1