IoT-based Platform for an Air-to-Air Heat Exchanger Evaluation

Haïfa Souifi, Y. Bouslimani, M. Ghribi
{"title":"IoT-based Platform for an Air-to-Air Heat Exchanger Evaluation","authors":"Haïfa Souifi, Y. Bouslimani, M. Ghribi","doi":"10.1109/ECICE52819.2021.9645652","DOIUrl":null,"url":null,"abstract":"Applying to many commercial and residential applications, air-to-air heat/energy exchangers are extensively considered as one of the promising technologies for improving indoor air quality (IAQ), providing thermal comfort, and dwindling energy consumption costs as well. The present paper proposes an IoT-based platform to experimentally assess the performances of a heat recovery ventilator (HRV) system in terms of heat recovery and IAQ enhancement. To gather and log measurements, the developed IoT platform is integrated into the mechanical ventilation system without affecting its operation modes. For more than 12 months, the proposed IoT approach successfully collected and sent every 60 s, real-time measurements related to the indoor and outdoor air quality, with a focus on TVOC and CO2, and the related temperature, humidity, and pressure used to assess the system’s sensible heat recovery potential. Results from a real environment located in New Brunswick, Canada are presented, and the system performances are evaluated under extreme weather conditions. The developed IoT platform was flexible in terms of deployment and data exchange and proved to be efficient in collecting real-time data.","PeriodicalId":176225,"journal":{"name":"2021 IEEE 3rd Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE 3rd Eurasia Conference on IOT, Communication and Engineering (ECICE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ECICE52819.2021.9645652","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

Applying to many commercial and residential applications, air-to-air heat/energy exchangers are extensively considered as one of the promising technologies for improving indoor air quality (IAQ), providing thermal comfort, and dwindling energy consumption costs as well. The present paper proposes an IoT-based platform to experimentally assess the performances of a heat recovery ventilator (HRV) system in terms of heat recovery and IAQ enhancement. To gather and log measurements, the developed IoT platform is integrated into the mechanical ventilation system without affecting its operation modes. For more than 12 months, the proposed IoT approach successfully collected and sent every 60 s, real-time measurements related to the indoor and outdoor air quality, with a focus on TVOC and CO2, and the related temperature, humidity, and pressure used to assess the system’s sensible heat recovery potential. Results from a real environment located in New Brunswick, Canada are presented, and the system performances are evaluated under extreme weather conditions. The developed IoT platform was flexible in terms of deployment and data exchange and proved to be efficient in collecting real-time data.
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
基于物联网的空气-空气换热器评估平台
空气-空气热交换器广泛应用于许多商业和住宅应用,被广泛认为是改善室内空气质量(IAQ)、提供热舒适和降低能源消耗成本的有前途的技术之一。本文提出了一个基于物联网的平台来实验评估热回收通风机(HRV)系统在热回收和室内空气质量增强方面的性能。为了收集和记录测量结果,开发的物联网平台集成到机械通风系统中,而不影响其运行模式。在超过12个月的时间里,提出的物联网方法成功地每隔60秒收集和发送一次与室内和室外空气质量相关的实时测量数据,重点是TVOC和CO2,以及用于评估系统显热回收潜力的相关温度、湿度和压力。给出了位于加拿大新不伦瑞克省的真实环境的结果,并在极端天气条件下评估了系统的性能。开发的物联网平台在部署和数据交换方面具有灵活性,并且在实时数据采集方面具有效率。
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
Experimental Demonstration of 128QAM-OFDM Encoded Terahertz Signals over 20-km SMF Evaluation of Learning Effectiveness Using Mobile Communication and Reality Technology to Assist Teaching: A Case of Island Ecological Teaching [ECICE 2021 Front matter] Application of Time-series Smoothed Excitation CNN Model Study on Humidity Status Fuzzy Estimation of Low-power PEMFC Stack Based on the Softsensing Technology
×
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