Designing energy-efficient buildings in urban centers through machine learning and enhanced clean water managements

Rainwater Harvesting (RWH) is increasingly recognized as a vital sustainable practice in urban environments, aimed at enhancing water conservation and reducing energy consumption. This study introduces an innovative integration of nano-composite materials as Silver Nanoparticles (AgNPs) into RWH sys...

Full description

Autores:

Ximo, Chen
Zhaojuan, Zhang
Abed, Azher M.
Luning, Lin
Haqi, Zhang
Escorcia Gutierrez, José
Shohan Ahmed, Ali A.
Elimam, Ali
Huiting, Xu
Hamid, Assilzadeh
Lei, Zhen

Tipo de recurso:

Article of investigation

Fecha de publicación:

2024

Institución:

Corporación Universidad de la Costa

Repositorio:

REDICUC - Repositorio CUC

Idioma:

eng

OAI Identifier:

oai:repositorio.cuc.edu.co:11323/13539

Acceso en línea:

https://hdl.handle.net/11323/13539
https://repositorio.cuc.edu.co/

Palabra clave:

Rainwater harvesting (RWH)
Nano-composite materials
Silver nanoparticles
Machine learning regression
Energy efficiency in buildings
Environmental impact assessment

Rights

openAccess

License

Atribución 4.0 Internacional (CC BY 4.0)