CFD Parameter Optimization for Air-Conditioning Guidance System using Small Room Experimental Model

Yihan Zhao, Kazuyuki Kojima, Yuanzhi Huo, Nobuo Funabiki

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

In this paper, we describe a new air-conditioning system that takes human behavior into account. We introduce a method of predicting the indoor comfort level distribution by combining computational fluid dynamics (CFD) and Internet of Things (IoT), and a concept of air-conditioning guidance that encourages human behavior by using this method. In particular, we discuss the method of optimizing parameter for the CFD analysis used in the system, which ensures acceptable computational speed and accuracy in the proposed guidance system, by comparing the results of experiments using a small room model.

Original languageEnglish
Title of host publicationLifeTech 2022 - 2022 IEEE 4th Global Conference on Life Sciences and Technologies
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages248-249
Number of pages2
ISBN (Electronic)9781665419048
DOIs
Publication statusPublished - 2022
Event4th IEEE Global Conference on Life Sciences and Technologies, LifeTech 2022 - Osaka, Japan
Duration: Mar 7 2022Mar 9 2022

Publication series

NameLifeTech 2022 - 2022 IEEE 4th Global Conference on Life Sciences and Technologies

Conference

Conference4th IEEE Global Conference on Life Sciences and Technologies, LifeTech 2022
Country/TerritoryJapan
CityOsaka
Period3/7/223/9/22

Keywords

  • Air-conditioning
  • CFD
  • Human factor
  • Optimization
  • Thermo-fluid analysis

ASJC Scopus subject areas

  • Agricultural and Biological Sciences (miscellaneous)
  • Artificial Intelligence
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Biomedical Engineering
  • Instrumentation
  • Education

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