Ceramic Air-to-Air Recuperator for energy recovery in HVAC systems: CFD analysis and comparison with experimental tests

IF 7.1 2区 工程技术 Q1 ENERGY & FUELS Sustainable Energy Technologies and Assessments Pub Date : 2024-11-14 DOI:10.1016/j.seta.2024.104082
Luca Socci , Javier M. Rey-Hernandez , Andrea Rocchetti , Alberto Rey-Hernandez , Francisco J. Rey-Martínez
{"title":"Ceramic Air-to-Air Recuperator for energy recovery in HVAC systems: CFD analysis and comparison with experimental tests","authors":"Luca Socci ,&nbsp;Javier M. Rey-Hernandez ,&nbsp;Andrea Rocchetti ,&nbsp;Alberto Rey-Hernandez ,&nbsp;Francisco J. Rey-Martínez","doi":"10.1016/j.seta.2024.104082","DOIUrl":null,"url":null,"abstract":"<div><div>This paper explores the application of a Ceramic Air-to-Air Recuperator (CAAR) as an energy recovery device within HVAC systems. Specifically, the CAAR is analysed through Computational Fluid Dynamics (CFD) techniques. <em>Ansys Fluent</em> has been used as the software for the simulations. The system geometry is meticulously replicated and meshed to generate a three-dimensional model closely mirroring reality. Subsequently, simulations are conducted in both heating and cooling modes. The outcomes of the CFD analysis are compared with data obtained from a dedicated experimental test rig. The observed Prediction Relative Error (PRE), representing the relative error on the device outlet temperatures, is consistently below 15 % for primary air and 10 % for secondary air accross all simulations. These findings substantiate the assertion that the CFD model is robust and offers an effective tool for accurately designing and simulating the CAAR device performance under different operative conditions. In this way, it is possible to open up an important perspective on the widespread utilisation of the CAAR device in HVAC systems, promoting the energy efficiency and decarbonisation of this sector.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"72 ","pages":"Article 104082"},"PeriodicalIF":7.1000,"publicationDate":"2024-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sustainable Energy Technologies and Assessments","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2213138824004788","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
引用次数: 0

Abstract

This paper explores the application of a Ceramic Air-to-Air Recuperator (CAAR) as an energy recovery device within HVAC systems. Specifically, the CAAR is analysed through Computational Fluid Dynamics (CFD) techniques. Ansys Fluent has been used as the software for the simulations. The system geometry is meticulously replicated and meshed to generate a three-dimensional model closely mirroring reality. Subsequently, simulations are conducted in both heating and cooling modes. The outcomes of the CFD analysis are compared with data obtained from a dedicated experimental test rig. The observed Prediction Relative Error (PRE), representing the relative error on the device outlet temperatures, is consistently below 15 % for primary air and 10 % for secondary air accross all simulations. These findings substantiate the assertion that the CFD model is robust and offers an effective tool for accurately designing and simulating the CAAR device performance under different operative conditions. In this way, it is possible to open up an important perspective on the widespread utilisation of the CAAR device in HVAC systems, promoting the energy efficiency and decarbonisation of this sector.

Abstract Image

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
用于暖通空调系统能量回收的陶瓷空气对空气换热器:CFD 分析及与实验测试的比较
本文探讨了陶瓷空气对流换热器(CAAR)作为暖通空调系统中能量回收装置的应用。具体而言,本文通过计算流体动力学(CFD)技术对 CAAR 进行了分析。模拟使用的软件是 Ansys Fluent。对系统的几何形状进行了细致的复制和网格划分,以生成与实际情况密切相关的三维模型。随后,在加热和冷却模式下进行模拟。将 CFD 分析结果与专用实验测试台获得的数据进行比较。观察到的预测相对误差(PRE)代表设备出口温度的相对误差,在所有模拟中,一次空气的预测相对误差始终低于 15%,二次空气的预测相对误差始终低于 10%。这些结果证实了 CFD 模型的稳健性,并为在不同运行条件下精确设计和模拟 CAAR 设备性能提供了有效工具。通过这种方式,可以为在暖通空调系统中广泛使用 CAAR 设备打开一个重要的视角,促进该行业的能源效率和去碳化。
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
Sustainable Energy Technologies and Assessments
Sustainable Energy Technologies and Assessments Energy-Renewable Energy, Sustainability and the Environment
CiteScore
12.70
自引率
12.50%
发文量
1091
期刊介绍: Encouraging a transition to a sustainable energy future is imperative for our world. Technologies that enable this shift in various sectors like transportation, heating, and power systems are of utmost importance. Sustainable Energy Technologies and Assessments welcomes papers focusing on a range of aspects and levels of technological advancements in energy generation and utilization. The aim is to reduce the negative environmental impact associated with energy production and consumption, spanning from laboratory experiments to real-world applications in the commercial sector.
期刊最新文献
Designing an integrative strategy to introduce electric vehicles in the tourism sector in an outermost region of the European Union Advances in smart cities with system integration and energy digitalization technologies: A state-of-the-art review Building-integrated passive and renewable solar technologies: A review from 3E perspectives Ceramic Air-to-Air Recuperator for energy recovery in HVAC systems: CFD analysis and comparison with experimental tests Day-ahead energy management in green microgrids: Impact of long-term scheduling of hydrogen storage systems
×
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