TY - GEN
T1 - Simulation research on optimization of compound system in a passive residential building in severe cold area, China
AU - Lu, Wenjing
AU - Wang, Zhaojun
AU - Liu, Chang
N1 - Publisher Copyright:
© 2020 16th Conference of the International Society of Indoor Air Quality and Climate: Creative and Smart Solutions for Better Built Environments, Indoor Air 2020. All rights reserved.
PY - 2020
Y1 - 2020
N2 - The indoor thermal environment of the passive building was investigated in Harbin in the severe cold area of China. The results showed that the average indoor temperature of the passive building is 25.5℃, which exceeds the upper comfort limit of 24℃. This study aims to optimize the indoor thermal environment of the passive building. We established the coupled heat transfer model of composite system, conducted orthogonal experiments to analyze the influence of the composite system parameters on the indoor thermal environment, and determined the optimal combination plan. PMV was used as the evaluation index, and the vertical and condensation temperature difference were used as the verification index. The results showed that the best combination of winter conditions was that the water supply temperature was 28℃, supply air temperature was 18℃, supply air speed was 0.35m/s. While in summer, the best combination conditions was as follows: the water supply temperature was 20℃, supply air temperature was 25℃, supply air speed was 0.5m/s.
AB - The indoor thermal environment of the passive building was investigated in Harbin in the severe cold area of China. The results showed that the average indoor temperature of the passive building is 25.5℃, which exceeds the upper comfort limit of 24℃. This study aims to optimize the indoor thermal environment of the passive building. We established the coupled heat transfer model of composite system, conducted orthogonal experiments to analyze the influence of the composite system parameters on the indoor thermal environment, and determined the optimal combination plan. PMV was used as the evaluation index, and the vertical and condensation temperature difference were used as the verification index. The results showed that the best combination of winter conditions was that the water supply temperature was 28℃, supply air temperature was 18℃, supply air speed was 0.35m/s. While in summer, the best combination conditions was as follows: the water supply temperature was 20℃, supply air temperature was 25℃, supply air speed was 0.5m/s.
KW - Composite system
KW - Indoor thermal environment
KW - Optimization scheme
KW - PMV index
KW - Passive residential building
KW - Severe cold area
UR - https://www.scopus.com/pages/publications/85101615114
M3 - 会议稿件
AN - SCOPUS:85101615114
T3 - 16th Conference of the International Society of Indoor Air Quality and Climate: Creative and Smart Solutions for Better Built Environments, Indoor Air 2020
BT - 16th Conference of the International Society of Indoor Air Quality and Climate
PB - International Society of Indoor Air Quality and Climate
T2 - 16th Conference of the International Society of Indoor Air Quality and Climate: Creative and Smart Solutions for Better Built Environments, Indoor Air 2020
Y2 - 1 November 2020
ER -