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  • 标题:IoT-Based Smart Airflow System for Retrofitting Commercial Variable Air Volume HVAC Systems
  • 本地全文:下载
  • 作者:Soumaya EL BARRAK ; Alessandro De La Garza ; Jordan Mardis
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2022
  • 卷号:55
  • 期号:12
  • 页码:444-449
  • DOI:10.1016/j.ifacol.2022.07.352
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractThe integration of cyber and physical explorations is the key approach to enable building automation systems to save energy and maintain comfort. In this paper, we explore the concept of Cyber Physical system (CPS) to design and implement a prototype to retrofit outdated Variable Air Volume (VAV) Heating Ventilation and Air Conditioning (HVAC) systems. The proposed prototype uses building occupancy tracking to efficiently schedule HVAC systems and save wasted energy whilst maintaining occupant thermal comfort. An IoT infrastructure made up of a network of sensors placed strategically around the building to collect environment and occupants data and communicate them to the server. The new designed airflow damper acts accordingly to modulate the air distribution and adjust the environment to meet the expected comfort while maximizing efficiencies. The system improves the efficiency of existing traditional VAV-HVAC without entirely replacing the system. This can be a solution for oldbuilding with low budget.
  • 关键词:KeywordsVAV-HVACenergy efficiencyairflow adjustmentoccupancy trackingIoT architecture
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