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Optimal design of timber-glass upgrade modules for vertical building extension from the viewpoints of energy efficiency and visual comfort

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  • Lešnik, Maja
  • Kravanja, Stojan
  • Premrov, Miroslav
  • Žegarac Leskovar, Vesna

Abstract

In search of new approaches to building renovation, attempts have been made to design energy-efficient upgrade modules for the purpose of vertical extension of buildings. The design of such modules often fails to meet the requirements for visual comfort, which is important for the health and well-being of the occupants. Therefore, the aim of this study is to define an optimal upgrade module design by regarding not only energy efficiency but also visual comfort aspects. The goal of this study is the development of an optimization model, including the energy efficiency and daylight performances, within which optimal glazing shares of south oriented facades of timber-glass upgrade modules can be calculated, taking into account realistic architectural design and the discrete dimension of windows. Also, the possibility of defining optimal glazing shares of southerly oriented façades when placing the windows facing other cardinal directions is explored. Accordingly, a multi-parametric mixed-integer non-linear programming optimization, which included the development of an optimization model in which the total energy need represented the objective function that was subjected to the constraints of daylight performance to define an optimal glazing size, was performed. The results show that optimum design for timber-glass upgrade modules is a combination of glazing shares of between 25.0 and 30.0% for north- and east–west facing facades and between 20.0 and 30.0% for south-facing facades that offer daylight factors of between 2.0 and 3.0%. These findings apply to modules of comparable characteristics, in terms of size, climate conditions and thermal transmittance of building envelope.

Suggested Citation

  • Lešnik, Maja & Kravanja, Stojan & Premrov, Miroslav & Žegarac Leskovar, Vesna, 2020. "Optimal design of timber-glass upgrade modules for vertical building extension from the viewpoints of energy efficiency and visual comfort," Applied Energy, Elsevier, vol. 270(C).
    • Handle: RePEc:eee:appene:v:270:y:2020:i:c:s0306261920306851
    DOI: 10.1016/j.apenergy.2020.115173
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    References listed on IDEAS

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    1. Méndez Echenagucia, Tomás & Capozzoli, Alfonso & Cascone, Ylenia & Sassone, Mario, 2015. "The early design stage of a building envelope: Multi-objective search through heating, cooling and lighting energy performance analysis," Applied Energy, Elsevier, vol. 154(C), pages 577-591.
    2. Shi, Xing & Tian, Zhichao & Chen, Wenqiang & Si, Binghui & Jin, Xing, 2016. "A review on building energy efficient design optimization rom the perspective of architects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 65(C), pages 872-884.
    3. Xue, Peng & Li, Qian & Xie, Jingchao & Zhao, Mengjing & Liu, Jiaping, 2019. "Optimization of window-to-wall ratio with sunshades in China low latitude region considering daylighting and energy saving requirements," Applied Energy, Elsevier, vol. 233, pages 62-70.
    4. Li, Danny H.W., 2010. "A review of daylight illuminance determinations and energy implications," Applied Energy, Elsevier, vol. 87(7), pages 2109-2118, July.
    5. Webb, Amanda L., 2017. "Energy retrofits in historic and traditional buildings: A review of problems and methods," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 748-759.
    6. Karmellos, M. & Kiprakis, A. & Mavrotas, G., 2015. "A multi-objective approach for optimal prioritization of energy efficiency measures in buildings: Model, software and case studies," Applied Energy, Elsevier, vol. 139(C), pages 131-150.
    7. Wong, Ing Liang, 2017. "A review of daylighting design and implementation in buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 74(C), pages 959-968.
    8. Lešnik, Maja & Premrov, Miroslav & Žegarac Leskovar, Vesna, 2018. "Design parameters of the timber-glass upgrade module and the existing building: Impact on the energy-efficient refurbishment process," Energy, Elsevier, vol. 162(C), pages 1125-1138.
    9. Gao, Hao & Koch, Christian & Wu, Yupeng, 2019. "Building information modelling based building energy modelling: A review," Applied Energy, Elsevier, vol. 238(C), pages 320-343.
    10. Najjar, Mohammad & Figueiredo, Karoline & Hammad, Ahmed W.A. & Haddad, Assed, 2019. "Integrated optimization with building information modeling and life cycle assessment for generating energy efficient buildings," Applied Energy, Elsevier, vol. 250(C), pages 1366-1382.
    11. Nguyen, Anh-Tuan & Reiter, Sigrid & Rigo, Philippe, 2014. "A review on simulation-based optimization methods applied to building performance analysis," Applied Energy, Elsevier, vol. 113(C), pages 1043-1058.
    12. Ochoa, Carlos E. & Aries, Myriam B.C. & van Loenen, Evert J. & Hensen, Jan L.M., 2012. "Considerations on design optimization criteria for windows providing low energy consumption and high visual comfort," Applied Energy, Elsevier, vol. 95(C), pages 238-245.
    13. Zhai, Yingni & Wang, Yi & Huang, Yanqiu & Meng, Xiaojing, 2019. "A multi-objective optimization methodology for window design considering energy consumption, thermal environment and visual performance," Renewable Energy, Elsevier, vol. 134(C), pages 1190-1199.
    14. Zhang, Yang & Campana, Pietro Elia & Yang, Ying & Stridh, Bengt & Lundblad, Anders & Yan, Jinyue, 2018. "Energy flexibility from the consumer: Integrating local electricity and heat supplies in a building," Applied Energy, Elsevier, vol. 223(C), pages 430-442.
    15. Kheiri, Farshad, 2018. "A review on optimization methods applied in energy-efficient building geometry and envelope design," Renewable and Sustainable Energy Reviews, Elsevier, vol. 92(C), pages 897-920.
    16. Tettey, Uniben Yao Ayikoe & Dodoo, Ambrose & Gustavsson, Leif, 2016. "Primary energy implications of different design strategies for an apartment building," Energy, Elsevier, vol. 104(C), pages 132-148.
    17. Premrov, Miroslav & Žegarac Leskovar, Vesna & Mihalič, Klara, 2016. "Influence of the building shape on the energy performance of timber-glass buildings in different climatic conditions," Energy, Elsevier, vol. 108(C), pages 201-211.
    18. Galatioto, A. & Ciulla, G. & Ricciu, R., 2017. "An overview of energy retrofit actions feasibility on Italian historical buildings," Energy, Elsevier, vol. 137(C), pages 991-1000.
    19. Lee, J.W. & Jung, H.J. & Park, J.Y. & Lee, J.B. & Yoon, Y., 2013. "Optimization of building window system in Asian regions by analyzing solar heat gain and daylighting elements," Renewable Energy, Elsevier, vol. 50(C), pages 522-531.
    Full references (including those not matched with items on IDEAS)

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