Multi-objective optimization of a nearly zero-energy building based on thermal and visual discomfort minimization using a non-dominated sorting genetic algorithm (NSGA-II)

•We use a procedure to support the design of a nearly zero-energy house in the Mediterranean climate.•We use optimization software to minimize long-term thermal and visual discomfort.•Programming codes have been developed to calculate long-term thermal discomfort indices.•General design good practic...

Full description

Saved in:

Bibliographic Details
Published in:	Energy and buildings Vol. 104; pp. 378 - 394
Main Authors:	Carlucci, Salvatore, Cattarin, Giulio, Causone, Francesco, Pagliano, Lorenzo
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.10.2015
Subjects:	DGI Genetic algorithm LPD Multi-objective optimization NSGA-II Simulation-based optimization Thermal comfort UDI Visual comfort Zero energy buildings NSGA-II Visual comfort LPD PPD CO2 NW Zero energy buildings JGAP SHC HVAC SE LBNL UDI ANSI Thermal comfort IEA SW DGI EN PID DGP ACR EU Genetic algorithm NE LD PMV ALD Multi-objective optimization nZEB PCM Simulation-based optimization ASHRAE
ISSN:	0378-7788
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!