Thermal conductivity improvement in a green building with Nano insulations using machine learning methods

In this paper, the energy loss of the green building is optimized based on the thickness and lay-up of the Nano-insulation. As different thicknesses and lay-up of the Nano-insulation have a direct effect on energy consumption of the green building with 1590 square meters, especially with nanomateria...

Full description

Autores:

Ghalandari, Mohammad
Mukhtar, Azfarizal
Hizam Md Yasir, Ahmad Shah
Alkhabbaz, Ali
Alviz Meza, Anibal
Cardenas Escorcia, Yulineth
Binh, Le Nguyen

Tipo de recurso:

Article of investigation

Fecha de publicación:

2023

Institución:

Corporación Universidad de la Costa

Repositorio:

REDICUC - Repositorio CUC

Idioma:

eng

OAI Identifier:

oai:repositorio.cuc.edu.co:11323/10496

Acceso en línea:

https://hdl.handle.net/11323/10496
https://repositorio.cuc.edu.co/

Palabra clave:

Machine learning
Optimization
Nano insulation
Green house gases
Energy saving

Rights

openAccess

License

Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)