TY - JOUR
T1 - An optimization model for selecting the optimal green systems by considering the thermal comfort and energy consumption
AU - Kim, Jimin
AU - Hong, Taehoon
AU - Jeong, Jaemin
AU - Koo, Choongwan
AU - Jeong, Kwangbok
N1 - Publisher Copyright:
© 2016 Elsevier Ltd.
PY - 2016/5/1
Y1 - 2016/5/1
N2 - The green systems ensured a green space, improved the thermal comfort of the residents by making the seasonal indoor temperature pleasant, and saved energy in buildings. This study aimed to develop an optimization model for the optimal green systems by considering the thermal comfort in and energy consumption of an educational facility. In addition, the optimal design scenarios were analyzed considering their economic and environmental effects. The study was conducted as follows: (i) selection of the design variables and objective function; (ii) optimization of the green systems; (iii) comparative analysis of the standard and optimal designs; and (iv) economic and environmental assessment of the optimal design scenarios. In order to compare the thermal comfort of the green systems with that of the existing building, this study used the percentage of predicted dissatisfied (PPD) which is the thermal comfort index based on Fanger's model. The implementation of the green systems improved the thermal comfort by 0.18-2.18% in terms of PPD, and reduced the energy consumption by 0.02-11.00%. The economic and environmental effects of the optimal green systems also showed up to 12.62% and 18.36% reductions, respectively. Thus, the implementation of the green systems was effective in terms of thermal comfort, energy consumption, life cycle cost, and life cycle assessment. This study could help the potential green systems users establish the optimal green systems in terms of thermal comfort, energy consumption, and the economic and environmental effects.
AB - The green systems ensured a green space, improved the thermal comfort of the residents by making the seasonal indoor temperature pleasant, and saved energy in buildings. This study aimed to develop an optimization model for the optimal green systems by considering the thermal comfort in and energy consumption of an educational facility. In addition, the optimal design scenarios were analyzed considering their economic and environmental effects. The study was conducted as follows: (i) selection of the design variables and objective function; (ii) optimization of the green systems; (iii) comparative analysis of the standard and optimal designs; and (iv) economic and environmental assessment of the optimal design scenarios. In order to compare the thermal comfort of the green systems with that of the existing building, this study used the percentage of predicted dissatisfied (PPD) which is the thermal comfort index based on Fanger's model. The implementation of the green systems improved the thermal comfort by 0.18-2.18% in terms of PPD, and reduced the energy consumption by 0.02-11.00%. The economic and environmental effects of the optimal green systems also showed up to 12.62% and 18.36% reductions, respectively. Thus, the implementation of the green systems was effective in terms of thermal comfort, energy consumption, life cycle cost, and life cycle assessment. This study could help the potential green systems users establish the optimal green systems in terms of thermal comfort, energy consumption, and the economic and environmental effects.
KW - Energy consumption
KW - Green systems
KW - Life cycle assessment
KW - Life cycle cost
KW - Optimization
KW - Thermal comfort
UR - http://www.scopus.com/inward/record.url?scp=84958983153&partnerID=8YFLogxK
U2 - 10.1016/j.apenergy.2016.02.032
DO - 10.1016/j.apenergy.2016.02.032
M3 - Article
AN - SCOPUS:84958983153
SN - 0306-2619
VL - 169
SP - 682
EP - 695
JO - Applied Energy
JF - Applied Energy
ER -
