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

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

Department of Architecture

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	IAQVEC 2007 Proceedings - 6th International Conference on Indoor Air Quality, Ventilation and Energy Conservation in Buildings
Subtitle of host publication	Sustainable Built Environment
Pages	217-224
Number of pages	8
Publication status	Published - 2007 Dec 1
Event	6th International Conference on Indoor Air Quality, Ventilation and Energy Conservation in Buildings: Sustainable Built Environment, IAQVEC 2007 - Sendai, Japan Duration: 2007 Oct 28 → 2007 Oct 31

Publication series

Name	IAQVEC 2007 Proceedings - 6th International Conference on Indoor Air Quality, Ventilation and Energy Conservation in Buildings: Sustainable Built Environment
Volume	1

Other

Other	6th International Conference on Indoor Air Quality, Ventilation and Energy Conservation in Buildings: Sustainable Built Environment, IAQVEC 2007
Country	Japan
City	Sendai
Period	07-10-28 → 07-10-31

All Science Journal Classification (ASJC) codes

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

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Hu, R., Kato, S., Huang, H., Ishida, Y., & Tsay, Y-S. (2007). Application of multi-objective genetic algorithms and CRI _(C) & CRI _(H) analysis to indoor humidity environment design optimization. In IAQVEC 2007 Proceedings - 6th International Conference on Indoor Air Quality, Ventilation and Energy Conservation in Buildings: Sustainable Built Environment (pp. 217-224). (IAQVEC 2007 Proceedings - 6th International Conference on Indoor Air Quality, Ventilation and Energy Conservation in Buildings: Sustainable Built Environment; Vol. 1).

Hu, Rui ; Kato, Shinsuke ; Huang, Hong ; Ishida, Yoshihiro ; Tsay, Yaw-Shyan. / Application of multi-objective genetic algorithms and CRI _(C) & CRI _(H) analysis to indoor humidity environment design optimization. IAQVEC 2007 Proceedings - 6th International Conference on Indoor Air Quality, Ventilation and Energy Conservation in Buildings: Sustainable Built Environment. 2007. pp. 217-224 (IAQVEC 2007 Proceedings - 6th International Conference on Indoor Air Quality, Ventilation and Energy Conservation in Buildings: Sustainable Built Environment).

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

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.",

author = "Rui Hu and Shinsuke Kato and Hong Huang and Yoshihiro Ishida and Yaw-Shyan Tsay",

year = "2007",

month = dec,

day = "1",

language = "English",

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series = "IAQVEC 2007 Proceedings - 6th International Conference on Indoor Air Quality, Ventilation and Energy Conservation in Buildings: Sustainable Built Environment",

pages = "217--224",

booktitle = "IAQVEC 2007 Proceedings - 6th International Conference on Indoor Air Quality, Ventilation and Energy Conservation in Buildings",

note = "6th International Conference on Indoor Air Quality, Ventilation and Energy Conservation in Buildings: Sustainable Built Environment, IAQVEC 2007 ; Conference date: 28-10-2007 Through 31-10-2007",

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Hu, R, Kato, S, Huang, H, Ishida, Y & Tsay, Y-S 2007, Application of multi-objective genetic algorithms and CRI _(C) & CRI _(H) analysis to indoor humidity environment design optimization. in IAQVEC 2007 Proceedings - 6th International Conference on Indoor Air Quality, Ventilation and Energy Conservation in Buildings: Sustainable Built Environment. IAQVEC 2007 Proceedings - 6th International Conference on Indoor Air Quality, Ventilation and Energy Conservation in Buildings: Sustainable Built Environment, vol. 1, pp. 217-224, 6th International Conference on Indoor Air Quality, Ventilation and Energy Conservation in Buildings: Sustainable Built Environment, IAQVEC 2007, Sendai, Japan, 07-10-28.

Application of multi-objective genetic algorithms and CRI _(C) & CRI _(H) analysis to indoor humidity environment design optimization. / Hu, Rui; Kato, Shinsuke; Huang, Hong; Ishida, Yoshihiro; Tsay, Yaw-Shyan.

IAQVEC 2007 Proceedings - 6th International Conference on Indoor Air Quality, Ventilation and Energy Conservation in Buildings: Sustainable Built Environment. 2007. p. 217-224 (IAQVEC 2007 Proceedings - 6th International Conference on Indoor Air Quality, Ventilation and Energy Conservation in Buildings: Sustainable Built Environment; Vol. 1).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AU - Hu, Rui

AU - Kato, Shinsuke

AU - Huang, Hong

AU - Ishida, Yoshihiro

AU - Tsay, Yaw-Shyan

PY - 2007/12/1

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N2 - 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.

AB - 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.

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M3 - Conference contribution

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BT - IAQVEC 2007 Proceedings - 6th International Conference on Indoor Air Quality, Ventilation and Energy Conservation in Buildings

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Y2 - 28 October 2007 through 31 October 2007

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Hu R, Kato S, Huang H, Ishida Y, Tsay Y-S. Application of multi-objective genetic algorithms and CRI _(C) & CRI _(H) analysis to indoor humidity environment design optimization. In IAQVEC 2007 Proceedings - 6th International Conference on Indoor Air Quality, Ventilation and Energy Conservation in Buildings: Sustainable Built Environment. 2007. p. 217-224. (IAQVEC 2007 Proceedings - 6th International Conference on Indoor Air Quality, Ventilation and Energy Conservation in Buildings: Sustainable Built Environment).