TY - GEN
T1 - Application of multi-objective genetic algorithms and CRI (C) & CRI (H) analysis to indoor humidity environment design optimization
AU - Hu, Rui
AU - Kato, Shinsuke
AU - Huang, Hong
AU - Ishida, Yoshihiro
AU - Tsay, Yaw-Shyan
PY - 2007/12/1
Y1 - 2007/12/1
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
AN - SCOPUS:84863166412
SN - 9784861630705
T3 - IAQVEC 2007 Proceedings - 6th International Conference on Indoor Air Quality, Ventilation and Energy Conservation in Buildings: Sustainable Built Environment
SP - 217
EP - 224
BT - IAQVEC 2007 Proceedings - 6th International Conference on Indoor Air Quality, Ventilation and Energy Conservation in Buildings
T2 - 6th International Conference on Indoor Air Quality, Ventilation and Energy Conservation in Buildings: Sustainable Built Environment, IAQVEC 2007
Y2 - 28 October 2007 through 31 October 2007
ER -