A new method for predicting wind-driven rain catch ratios on building facades in urban residential areas using machine learning models DOI
Hui Yu, Huibo Zhang

Building and Environment, Journal Year: 2024, Volume and Issue: unknown, P. 112467 - 112467

Published: Dec. 1, 2024

Language: Английский

Thermal comfort and urban microclimate response: A new thermal environment assessment model for waterfront spaces in historic ancient towns DOI
Yan Wang, Xinrui Liu,

Rong Xie

et al.

Energy and Buildings, Journal Year: 2025, Volume and Issue: 331, P. 115393 - 115393

Published: Jan. 30, 2025

Language: Английский

Citations

1

Cooling effects and energy-saving potential of urban vegetation in cold-climate cities: A comparative study using regression and coupled simulation models DOI
Dongliang Han, Mingqi Wang, Jun Li

et al.

Urban Climate, Journal Year: 2025, Volume and Issue: 59, P. 102268 - 102268

Published: Jan. 11, 2025

Language: Английский

Citations

0

Assessing tree canopy cooling efficiency in different local climate zones: A cost-benefit analysis DOI

Aowei Liu,

Chengsheng Wang,

Guanning Shang

et al.

Urban forestry & urban greening, Journal Year: 2025, Volume and Issue: 105, P. 128694 - 128694

Published: Jan. 31, 2025

Language: Английский

Citations

0

Improving the accuracy of microclimate coupled urban building energy modeling using convolutional neural networks DOI

J. Ye,

Chenyu Huang, Zhaoyang Zhong

et al.

Building and Environment, Journal Year: 2025, Volume and Issue: unknown, P. 112923 - 112923

Published: March 1, 2025

Language: Английский

Citations

0

Cooling Effects and Energy-Saving Potential of Urban Vegetation in a Cold Climate City: Insights from Regression and Coupled Simulation Models DOI
Dongliang Han, Tiantian Zhang, Xuedan Zhang

et al.

Published: Jan. 1, 2024

Language: Английский

Citations

1

Developing a co-benefits evaluation model to optimize greening coverage designs on university campuses in hot and humid areas DOI

Xiaoqing Zhou,

Shiyuan Deng,

Yongbo Cui

et al.

Energy and Buildings, Journal Year: 2024, Volume and Issue: unknown, P. 115214 - 115214

Published: Dec. 1, 2024

Language: Английский

Citations

1

Cooling Effects and Energy-Saving Potential of Urban Vegetation in a Cold Climate City: Insights from Regression and Coupled Simulation Models DOI
Dongliang Han, Tiantian Zhang, Xuedan Zhang

et al.

Published: Jan. 1, 2024

Language: Английский

Citations

0

Impact of Social Capital on Residents' Willingness in the Old Residential Renewal in China: Mediating Effect of Perceived Value DOI

Yuanyuan You,

Xiaodong Yang

Published: Jan. 1, 2024

Language: Английский

Citations

0

Optimizing Energy Renovation in Building Portfolios: Approach and Decision-Making Platform DOI Creative Commons
Marco Castagna,

Olga Somova,

Cristian Pozza

et al.

Energies, Journal Year: 2024, Volume and Issue: 17(22), P. 5537 - 5537

Published: Nov. 6, 2024

The building sector contributes significantly to energy consumption and greenhouse gas emissions, with many buildings being inefficient. In response, the European Green Deal promotes improving efficiency support decarbonization goals. However, managing integrating data from multiple sources presents challenges, especially for large portfolios. This study introduces a novel methodology designed optimize renovation strategies, balancing technical, financial, maintenance considerations. is implemented in CERPlan 1.0, web-based decision-support platform that combines on performance, costs, needs. Through simulations, 1.0 helps decision-makers prioritize retrofit interventions based economic criteria while leveraging synergies between improvements regular maintenance. Application of this real estate portfolios reveals opportunities enhance cost-effectiveness savings. results show into planning reduces payback times allows more comprehensive strategies. conclusions highlight 1.0’s potential improve decision-making, making renovations efficient sustainable.

Language: Английский

Citations

0

A new method for predicting wind-driven rain catch ratios on building facades in urban residential areas using machine learning models DOI
Hui Yu, Huibo Zhang

Building and Environment, Journal Year: 2024, Volume and Issue: unknown, P. 112467 - 112467

Published: Dec. 1, 2024

Language: Английский

Citations

0