Improving the energy performance and economic benefits of aged residential buildings by retrofitting in Hot–humid regions of China

X Yang, Z Chen, Y Zou, F Wan - Energies, 2023 - mdpi.com
The existing building stock faces the challenge of low energy efficiency and requires
renovation and upgrading to meet society′ s goals of carbon reduction and sustainable …

[HTML][HTML] A Literature Review of Probabilistic Hygrothermal Assessment for Building Envelopes

MB Pour, J Niklewski, A Naghibi, EF Hansson - Building and Environment, 2024 - Elsevier
This study presents a state-of-the-art review of the evolution of probabilistic hygrothermal
assessments of building envelopes. First, relevant literature was identified by employing a …

Investigation and optimization of outdoor thermal comfort in elementary school campuses: Example from a humid-hot area in China

T Guo, Z Lin, Y Zhao, Z Fang, Y Fan, X Zhang… - Building and …, 2024 - Elsevier
The elementary school campus is the primary location where children both learn and live.
The school environment significantly impacts children's health and well-being. While today's …

A Review on Numerical Modeling of the Hygrothermal Behavior of Building Envelopes Incorporating Phase Change Materials

M Sawadogo, A Godin, M Duquesne, AEA Hamami… - Buildings, 2023 - mdpi.com
Buildings are submitted to various external and internal solicitations that could affect its
energy performance. Among these solicitations, temperature and moisture play a crucial role …

Accelerating long-term building energy performance simulation with a reference day method

Y Zou, Z Chen, S Lou, Y Huang, D Xia, Y Cao, H Li… - Building …, 2024 - Springer
In response to the growing necessity for rapid simulation techniques for long-term building
energy forecasting, this study establishes a 'reference day'method. This method significantly …

[HTML][HTML] Deep transfer learning strategy based on TimesBlock-CDAN for predicting thermal environment and air conditioner energy consumption in residential …

L Sun, Z Hu, M Mae, T Imaizumi - Applied Energy, 2025 - Elsevier
The deployment of data-driven deep learning black-box models for thermal environment and
air conditioner energy consumption modeling has gained popularity due to their high …

Future indoor overheating risk for urban village housing in subtropical region of China under long-term changing climate

J Guo, D Xia, L Zhang, Y Zou, X Yang, W Xie… - Building and …, 2023 - Elsevier
Over the last two decades, China has witnessed a surge in the emergence of urban villages
characterized by high building density and significant migrant populations, primarily due to …

Hygrothermal resilience of typical lightweight steel-framed wall assemblies in hot-humid areas under future climate uncertainty

Q Zhan, S Xue, S Yin, Z Lin, Y Zou, Y Xiao - Energy and Buildings, 2024 - Elsevier
Ensuring the hygrothermal performance of lightweight steel-framed (LSF) wall assemblies is
critical for the sustainability of LSF buildings in hot-humid regions; however, climate change …

Heat and Mass Transfer in Porous Materials

A Pavlenko - Materials, 2023 - mdpi.com
Currently, porous materials (PM) are actively used in many fields of science and technology,
and the processes of heat and mass transfer in porous materials underlie a wide variety of …

Experimental and a dual-scale analysis of the influence of coating on humidity control ability of hygroscopic materials with different porosity

X Shi, G Gong, X Fang, Y Wang, Y Huang, J An… - … and Building Materials, 2024 - Elsevier
This study investigates the impact of surface coating on the humidity control capability of
porous hygroscopic material, and proposes a dual-scale correlation method for moisture …