A Pareto-based multi-objective optimization algorithm to design energy-efficient shading devices
•We present a multi-objective optimization algorithm for shading design.•We combine Harmony search and Pareto-based procedures.•Thermal and daylighting performances of external shading were considered.•We applied the optimization process to a residential social housing in Madrid. In this paper we ad...
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| Veröffentlicht in: | Applied energy Jg. 184; S. 1400 - 1410 |
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| Hauptverfasser: | , , |
| Format: | Journal Article |
| Sprache: | Englisch |
| Veröffentlicht: |
Elsevier Ltd
15.12.2016
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| Schlagworte: | |
| ISSN: | 0306-2619, 1872-9118 |
| Online-Zugang: | Volltext |
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| Zusammenfassung: | •We present a multi-objective optimization algorithm for shading design.•We combine Harmony search and Pareto-based procedures.•Thermal and daylighting performances of external shading were considered.•We applied the optimization process to a residential social housing in Madrid.
In this paper we address the problem of designing new energy-efficient static daylight devices that will surround the external windows of a residential building in Madrid. Shading devices can in fact largely influence solar gains in a building and improve thermal and lighting comforts by selectively intercepting the solar radiation and by reducing the undesirable glare. A proper shading device can therefore significantly increase the thermal performance of a building by reducing its energy demand in different climate conditions. In order to identify the set of optimal shading devices that allow a low energy consumption of the dwelling while maintaining high levels of thermal and lighting comfort for the inhabitants we derive a multi-objective optimization methodology based on Harmony Search and Pareto front approaches. The results show that the multi-objective approach here proposed is an effective procedure in designing energy efficient shading devices when a large set of conflicting objectives characterizes the performance of the proposed solutions. |
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| Bibliographie: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
| ISSN: | 0306-2619 1872-9118 |
| DOI: | 10.1016/j.apenergy.2016.05.015 |