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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Bibliographic Details
Published in:Applied energy Vol. 184; pp. 1400 - 1410
Main Authors: Khoroshiltseva, Marina, Slanzi, Debora, Poli, Irene
Format: Journal Article
Language:English
Published: Elsevier Ltd 15.12.2016
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ISSN:0306-2619, 1872-9118
Online Access:Get full text
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Summary:•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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ISSN:0306-2619
1872-9118
DOI:10.1016/j.apenergy.2016.05.015