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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| Published in: | Applied energy Vol. 184; pp. 1400 - 1410 |
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| Main Authors: | , , |
| Format: | Journal Article |
| Language: | English |
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Elsevier Ltd
15.12.2016
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| Subjects: | |
| ISSN: | 0306-2619, 1872-9118 |
| Online Access: | Get full text |
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| Abstract | •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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| AbstractList | 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. •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. |
| Author | Slanzi, Debora Khoroshiltseva, Marina Poli, Irene |
| Author_xml | – sequence: 1 givenname: Marina surname: Khoroshiltseva fullname: Khoroshiltseva, Marina email: marina.khoroshiltseva@unive.it organization: European Centre for Living Technology, Ca’ Minich, S. Marco 2940, 30124 Venice, Italy – sequence: 2 givenname: Debora surname: Slanzi fullname: Slanzi, Debora email: debora.slanzi@unive.it organization: European Centre for Living Technology, Ca’ Minich, S. Marco 2940, 30124 Venice, Italy – sequence: 3 givenname: Irene surname: Poli fullname: Poli, Irene email: irenpoli@unive.it organization: European Centre for Living Technology, Ca’ Minich, S. Marco 2940, 30124 Venice, Italy |
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| Keywords | Energy efficiency Multi-objective optimization Harmony search Thermal and lighting comfort Shading design |
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| Snippet | •We present a multi-objective optimization algorithm for shading design.•We combine Harmony search and Pareto-based procedures.•Thermal and daylighting... In this paper we address the problem of designing new energy-efficient static daylight devices that will surround the external windows of a residential... |
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| SubjectTerms | algorithms climate Energy efficiency Harmony search lighting Multi-objective optimization shade Shading design solar radiation Thermal and lighting comfort |
| Title | A Pareto-based multi-objective optimization algorithm to design energy-efficient shading devices |
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