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

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  • Khoroshiltseva, Marina
  • Slanzi, Debora
  • Poli, Irene

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.

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  • Khoroshiltseva, Marina & Slanzi, Debora & Poli, Irene, 2016. "A Pareto-based multi-objective optimization algorithm to design energy-efficient shading devices," Applied Energy, Elsevier, vol. 184(C), pages 1400-1410.
    • Handle: RePEc:eee:appene:v:184:y:2016:i:c:p:1400-1410
    DOI: 10.1016/j.apenergy.2016.05.015
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    References listed on IDEAS

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    Cited by:

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    11. Victor Charpentier & Forrest Meggers & Sigrid Adriaenssens & Olivier Baverel, 2020. "Occupant-centered optimization framework to evaluate and design new dynamic shading typologies," PLOS ONE, Public Library of Science, vol. 15(4), pages 1-30, April.
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    13. Taveres-Cachat, Ellika & Lobaccaro, Gabriele & Goia, Francesco & Chaudhary, Gaurav, 2019. "A methodology to improve the performance of PV integrated shading devices using multi-objective optimization," Applied Energy, Elsevier, vol. 247(C), pages 731-744.
    14. Wu, Yujie & Kämpf, Jérôme H. & Scartezzini, Jean-Louis, 2019. "Automated ‘Eye-sight’ Venetian blinds based on an embedded photometric device with real-time daylighting computing," Applied Energy, Elsevier, vol. 252(C), pages 1-1.
    15. Jessica Settino & Cristina Carpino & Stefania Perrella & Natale Arcuri, 2020. "Multi-Objective Analysis of a Fixed Solar Shading System in Different Climatic Areas," Energies, MDPI, vol. 13(12), pages 1-18, June.
    16. Huang, Junchao & Chen, Xi & Yang, Hongxing & Zhang, Weilong, 2018. "Numerical investigation of a novel vacuum photovoltaic curtain wall and integrated optimization of photovoltaic envelope systems," Applied Energy, Elsevier, vol. 229(C), pages 1048-1060.
    17. Momoka Nagasue & Haruka Kitagawa & Takashi Asawa & Tetsu Kubota, 2024. "A Systematic Review of Passive Cooling Methods in Hot and Humid Climates Using a Text Mining-Based Bibliometric Approach," Sustainability, MDPI, vol. 16(4), pages 1-29, February.
    18. Shaoxiong Li & Le Liu & Changhai Peng, 2020. "A Review of Performance-Oriented Architectural Design and Optimization in the Context of Sustainability: Dividends and Challenges," Sustainability, MDPI, vol. 12(4), pages 1-36, February.
    19. Liu, Zhongbing & Zhang, Yelin & Zhang, Ling & Luo, Yongqiang & Wu, Zhenghong & Wu, Jing & Yin, Yingde & Hou, Guoqing, 2018. "Modeling and simulation of a photovoltaic thermal-compound thermoelectric ventilator system," Applied Energy, Elsevier, vol. 228(C), pages 1887-1900.
    20. de Almeida Rocha, Ana Paula & Reynoso-Meza, Gilberto & Oliveira, Ricardo C.L.F. & Mendes, Nathan, 2020. "A pixel counting based method for designing shading devices in buildings considering energy efficiency, daylight use and fading protection," Applied Energy, Elsevier, vol. 262(C).

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