A Pareto-based multi-objective optimization algorithm to design energy-efficient shading devices

Marina Khoroshiltseva, Debora Slanzi and Irene Poli

Applied Energy, 2016, vol. 184, issue C, 1400-1410

Abstract: 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.

Keywords: Energy efficiency; Multi-objective optimization; Harmony search; Shading design; Thermal and lighting comfort (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (24)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:appene:v:184:y:2016:i:c:p:1400-1410

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DOI: 10.1016/j.apenergy.2016.05.015

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