Loading…

Multi-Variable Optimization of Building Thermal Design Using Genetic Algorithms

According to the literature, in developed and developing countries it constitutes about 40% of the total energy consumption [1,2,3,4,5,6,7,8]. Residential buildings are responsible for a major part of the energy consumption of the building sector [9]. [...]as energy consumption is rapidly increasing...

Full description

Saved in:
Bibliographic Details
Published in:Energies (Basel) 2017-10, Vol.10 (10), p.1570
Main Authors: Ferdyn-Grygierek, Joanna, Grygierek, Krzysztof
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:According to the literature, in developed and developing countries it constitutes about 40% of the total energy consumption [1,2,3,4,5,6,7,8]. Residential buildings are responsible for a major part of the energy consumption of the building sector [9]. [...]as energy consumption is rapidly increasing due to the population growth, urbanization and industrialization, energy conservation in buildings has become an important part of national energy strategies in multiple countries [10]. [...]in summer, the outdoor night temperature being lower than the required indoor temperature, uninsulated walls allow leading to the reduction of air-conditioning need [29]. [...]in climates where both heating and cooling throughout the year are required, the optimization of the design parameters in buildings should take into account the cost of both heating and cooling. [...]in this case energy savings were obtained at the expense of deteriorated indoor air quality.
ISSN:1996-1073
1996-1073
DOI:10.3390/en10101570