Application of multi-objective genetic algorithms and CRI (C) & CRI (H) analysis to indoor humidity environment design optimization

Rui Hu, Shinsuke Kato, Hong Huang, Yoshihiro Ishida, Yaw-Shyan Tsay

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

Abstract

This study presents a multi-objective optimum design method for reliable indoor humidity environments based on the appropriate use of moisture-conditioning materials. In this paper, (1) a transient prediction of indoor air temperature and humidity in a model living room is developed by employing indices for the contribution ratio of indoor climate (CRI (C) and contribution ratio of indoor humidity (CRI (H)), and (2) an optimal design method is developed using multi-objective genetic algorithms (MOGA) and the transient prediction above. In order to confirm the validity of the proposed optimum design system, a conventional model living room with a number of moisture sources is set up as an analytical target and the optimum amount and arrangement of moisture-conditioning materials as design parameters are analyzed to achieve a reliable environmental design for indoor humidity. As a result, optimal solutions are obtained by means of MOGA and the effectiveness of this approach is demonstrated for designers.

Original languageEnglish
Title of host publicationIAQVEC 2007 Proceedings - 6th International Conference on Indoor Air Quality, Ventilation and Energy Conservation in Buildings
Subtitle of host publicationSustainable Built Environment
Pages217-224
Number of pages8
Publication statusPublished - 2007 Dec 1
Event6th International Conference on Indoor Air Quality, Ventilation and Energy Conservation in Buildings: Sustainable Built Environment, IAQVEC 2007 - Sendai, Japan
Duration: 2007 Oct 282007 Oct 31

Publication series

NameIAQVEC 2007 Proceedings - 6th International Conference on Indoor Air Quality, Ventilation and Energy Conservation in Buildings: Sustainable Built Environment
Volume1

Other

Other6th International Conference on Indoor Air Quality, Ventilation and Energy Conservation in Buildings: Sustainable Built Environment, IAQVEC 2007
CountryJapan
CitySendai
Period07-10-2807-10-31

All Science Journal Classification (ASJC) codes

  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment

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