Energy-daylight optimization of louvers design in buildings
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F18%3A50014701" target="_blank" >RIV/62690094:18450/18:50014701 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-98446-9_42" target="_blank" >http://dx.doi.org/10.1007/978-3-319-98446-9_42</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-98446-9_42" target="_blank" >10.1007/978-3-319-98446-9_42</a>
Alternative languages
Result language
angličtina
Original language name
Energy-daylight optimization of louvers design in buildings
Original language description
Buildings around the world have been confronting too much energy consumption. On that account, architectural aspects have an important role to minimize this energy consumption. Overheating has become a current topic especially in summer with hot climates, since the use of large glazed facades have become prevalent. Thus, shading devices should be considered in the early stage of the design process to overcome this task. Since the design of a new shading device is a complicated architectural design problem, the presented problem can be tackled with real-parameter multi-objective optimization. The well-known and fast Non-Dominated Sorting Genetic Algorithm II so called NSGA-II was used to solve this complex design problem and identify alternative solutions to decision makers. An implementation of the method is presented, focusing on louvers design integrated to an office building in a hot-dry climate region.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Lecture notes in computer science
ISBN
978-3-319-98445-2
ISSN
0302-9743
e-ISSN
neuvedeno
Number of pages
10
Pages from-to
447-456
Publisher name
Springer
Place of publication
Cham
Event location
Bristol
Event date
Sep 5, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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