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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...
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Published in: | Energies (Basel) 2017-10, Vol.10 (10), p.1570 |
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Main Authors: | , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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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. |
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ISSN: | 1996-1073 1996-1073 |
DOI: | 10.3390/en10101570 |