Optimization of temperature prediction algorithms and simulation of future neighborhood-scale thermal environments in Chongqing DOI
Lina Jiang, Zhixuan Fan,

Yafeng Gao

и другие.

Building and Environment, Год журнала: 2024, Номер unknown, С. 112146 - 112146

Опубликована: Окт. 1, 2024

Язык: Английский

Effects of urban vegetation on microclimate and building energy demand in winter: An evaluation using coupled simulations DOI
Juejun Ge, Yupeng Wang, Dian Zhou

и другие.

Sustainable Cities and Society, Год журнала: 2024, Номер 102, С. 105199 - 105199

Опубликована: Янв. 21, 2024

Язык: Английский

Процитировано

30

The key factors of microclimate in courtyard-style architectural ensembles spaces—Taking the Yi minority Tusi manor as an example DOI
Likai Lin,

Yan Gui

Building and Environment, Год журнала: 2025, Номер unknown, С. 112553 - 112553

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

1

The COMFA model for assessing courtyard thermal comfort in hot and humid regions: A comparative study with existing models DOI

Renzhi Wu,

Xiaoshan Fang, Robert D. Brown

и другие.

Building and Environment, Год журнала: 2023, Номер 234, С. 110150 - 110150

Опубликована: Фев. 27, 2023

Язык: Английский

Процитировано

13

Accelerating flow simulations in the built environment by using the fast fluid dynamics initializer DOI

Chi Zhang,

Chih‐Yung Wen, Yu-Hsuan Juan

и другие.

Building and Environment, Год журнала: 2024, Номер 253, С. 111274 - 111274

Опубликована: Фев. 11, 2024

Язык: Английский

Процитировано

5

Why does the courtyard spaces of same ethnic group present diverse characteristics in different regions: evidence based on ENVI-met climate modeling DOI
Likai Lin,

Yan Gui

Journal of Cleaner Production, Год журнала: 2024, Номер 466, С. 142703 - 142703

Опубликована: Июнь 13, 2024

Язык: Английский

Процитировано

4

A Diagnostic Equation for Understanding Courtyard Thermal Radiation Environments: Evidence from Courtyards in Central Guangdong, China DOI

Renzhi Wu,

Xiaoshan Fang, Shuang Liu

и другие.

Building and Environment, Год журнала: 2025, Номер unknown, С. 112970 - 112970

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0

A quick simulation workflow to optimizing natural ventilation for building and landscape design DOI

Shengnan Niu,

Hao Tong, Xiaodong Liu

и другие.

Energy and Buildings, Год журнала: 2024, Номер unknown, С. 114875 - 114875

Опубликована: Окт. 1, 2024

Язык: Английский

Процитировано

3

Establishing a link between complex courtyard spaces and thermal comfort: A major advancement in evidence-based design DOI Open Access

Renzhi Wu,

Xiaoshan Fang, Robert D. Brown

и другие.

Building and Environment, Год журнала: 2023, Номер 245, С. 110852 - 110852

Опубликована: Окт. 4, 2023

Язык: Английский

Процитировано

6

Dimensional analysis of hydrogen Knudsen compressor DOI
Qianhao Xiao, Boyan Jiang, Jun Wang

и другие.

International Journal of Hydrogen Energy, Год журнала: 2023, Номер 48(83), С. 32446 - 32458

Опубликована: Май 19, 2023

Язык: Английский

Процитировано

4

Data-mining framework for in-depth quantitative study of influences on low-wind-velocity area from morphological parameters of cuboid-form buildings DOI Creative Commons

Han Guo,

Yehao Song,

Yingnan Chu

и другие.

Heliyon, Год журнала: 2024, Номер 10(7), С. e29137 - e29137

Опубликована: Апрель 1, 2024

Wind environment is important in architectural sustainable design, as existing studies show that it can be considerably influenced by building morphologies. This study aimed to develop a data-mining framework quantitatively evaluate and compare influences on Low-Wind-Velocity Area (LWVA) of common cuboid-form buildings with typical morphological parameters. The was originally developed integrating multiple computational methods for rapid in-depth iterative analyses, including the generation models using parametric modelling, big data based hybrid model, statistical metric analysis method. model created combining CFD machine learning model. accuracy efficiency were fully demonstrated through comprehensive validation analyses different models. more than fifty thousand cases parameters relevant wind conditions generated analyzed. Influences LWVA comprehensively evaluated, visualization parameters, calculation comparison several correlation coefficients. It suggested reduction height width windward side would significantly decrease promote outdoor ventilation. change depth have relatively limited influence LWVA. Multivariate regression model-fit variance further implemented, found there significant linear between equation multivariate provided extra prediction. outcome could contribute efficient evaluation provide useful information design.

Язык: Английский

Процитировано

1