Indoor thermal comfort controls optimized by deducing rules

Chih Chien Hu, Han-Lin Li

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

A novel approach based on an optimization method is developed to deduce the rules of learning human thermal comfort states. In order to achieve a desired thermal comfort level and energy savings, the study constructs a mechanism with varied control strategies by using the deduced rule set. The proposed method is superior to other indoor thermal comfort based controls in that it produces interpretable rules and generates appropriate set-points for control systems. Analytical results of this study demonstrate that the proposed thermal comfort control mechanism can also be implemented with wireless sensor network (WSN) to achieve thermal comfort and energy savings with limited computational resources. In other words, the solution enables the ubiquitous control of indoor thermal comfort.

Original languageEnglish
Title of host publication18th International Conference on Advanced Communications Technology
Subtitle of host publication"Information and Communications for Safe and Secure Life!", ICACT 2016 - Proceeding
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages26-30
Number of pages5
ISBN (Electronic)9788996865063
DOIs
StatePublished - 1 Mar 2016
Event18th International Conference on Advanced Communications Technology, ICACT 2016 - Pyeongchang, Korea, Republic of
Duration: 31 Jan 20163 Feb 2016

Publication series

NameInternational Conference on Advanced Communication Technology, ICACT
Volume2016-March
ISSN (Print)1738-9445

Conference

Conference18th International Conference on Advanced Communications Technology, ICACT 2016
Country/TerritoryKorea, Republic of
CityPyeongchang
Period31/01/163/02/16

Keywords

  • Classification
  • Energy saving
  • Predicted mean vote (PMV)
  • Rule-based system
  • Thermal comfort

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