Smart urban windcatcher: Conception of an AI-empowered wind-channeling system for real-time enhancement of urban wind environment

Zhang, Bingchao; Li, Cruz Y.; Kikumoto, Hideki; Niu, Jianlei; Tse, Tim K.T.

doi:10.1016/j.buildenv.2024.111357

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Smart urban windcatcher: Conception of an AI-empowered wind-channeling system for real-time enhancement of urban wind environment

Cited by 5 publications

References 70 publications

Parametric analysis of a novel rotary scoop dual-channel windcatcher for multi-directional natural ventilation of buildings

Parametric analysis of a novel rotary scoop dual-channel windcatcher for multi-directional natural ventilation of buildings

Study on optimal layout and design parameters of ventilated roof for improving building roof thermal performances

Urban design and pollution using AI: Implications for urban development in China

Contact Info

Product

Resources

About