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Envelope Design Optimization by Thermal Modelling of a Building in a Warm Climate

Author

Listed:
  • Cristina Baglivo

    (Department of Engineering for Innovation, University of Salento, 73100 Lecce, Italy)

  • Paolo Maria Congedo

    (Department of Engineering for Innovation, University of Salento, 73100 Lecce, Italy)

  • Matteo Di Cataldo

    (Design Innovation Building (DIB) Studio Limited, Kemp House 152 City Road, London EC1V 2NX, UK)

  • Luigi Damiano Coluccia

    (Department of Engineering for Innovation, University of Salento, 73100 Lecce, Italy)

  • Delia D’Agostino

    (European Commission, Joint Research Centre (JRC), Directorate C—Energy, Transport and Climate, Energy Efficiency and Renewables, Via E. Fermi 2749, Ispra, I-21027 Varese, Italy)

Abstract

Finding the most appropriate configuration of building components at the design stage can reduce energy consumption in new buildings. This study aims to optimize the design of the envelope of a new residential building located in a warm climate (southern Italy). The thermal behaviour of the building has been analysed to evaluate the indoor operative air temperature for several configurations. The building prototype has been modelled using the dynamic simulation software TRNSYS 17 (A transient system simulation program, University of Wisconsin, Solar Energy Laboratory, USA, 2010) using a sequential search technique. Starting from the simplest building configuration, the main evaluated components are: walls, slab-on-ground floor, roof, shading, windows and internal heat loads. For each of these components, different design options have been modelled and compared in terms of indoor thermal comfort. Comfort parameters have also been taken into account to evaluate users’ satisfaction with the optimized configurations. The study of the operative air temperature demonstrates that the absence of insulating layers in the ground floor ensures a lower internal temperature in summer. The paper shows how each component impacts the thermal behaviour of the whole building. It highlights the usefulness of the envelope design optimization that is characterized by high values of heat storage capacity, enabling internal temperature fluctuations to be kept under control, especially during summer.

Suggested Citation

  • Cristina Baglivo & Paolo Maria Congedo & Matteo Di Cataldo & Luigi Damiano Coluccia & Delia D’Agostino, 2017. "Envelope Design Optimization by Thermal Modelling of a Building in a Warm Climate," Energies, MDPI, vol. 10(11), pages 1-34, November.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:11:p:1808-:d:118258
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    References listed on IDEAS

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    7. Malvoni, Maria & Baglivo, Cristina & Congedo, Paolo Maria & Laforgia, Domenico, 2016. "CFD modeling to evaluate the thermal performances of window frames in accordance with the ISO 10077," Energy, Elsevier, vol. 111(C), pages 430-438.
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    9. Congedo, Paolo Maria & Baglivo, Cristina & D'Agostino, Delia & Zacà, Ilaria, 2015. "Cost-optimal design for nearly zero energy office buildings located in warm climates," Energy, Elsevier, vol. 91(C), pages 967-982.
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    Cited by:

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    2. Cristina Baglivo & Delia D’Agostino & Paolo Maria Congedo, 2018. "Design of a Ventilation System Coupled with a Horizontal Air-Ground Heat Exchanger (HAGHE) for a Residential Building in a Warm Climate," Energies, MDPI, vol. 11(8), pages 1-27, August.
    3. D'Agostino, Delia & Parker, Danny, 2018. "A framework for the cost-optimal design of nearly zero energy buildings (NZEBs) in representative climates across Europe," Energy, Elsevier, vol. 149(C), pages 814-829.
    4. Cristina Baglivo & Marina Bonomolo & Paolo Maria Congedo, 2019. "Modeling of Light Pipes for the Optimal Disposition in Buildings," Energies, MDPI, vol. 12(22), pages 1-28, November.
    5. Matteo Dongellini & Paolo Valdiserri & Claudia Naldi & Gian Luca Morini, 2020. "The Role of Emitters, Heat Pump Size, and Building Massive Envelope Elements on the Seasonal Energy Performance of Heat Pump-Based Heating Systems," Energies, MDPI, vol. 13(19), pages 1-14, September.
    6. Krzysztof Grygierek & Joanna Ferdyn-Grygierek & Anna Gumińska & Łukasz Baran & Magdalena Barwa & Kamila Czerw & Paulina Gowik & Klaudia Makselan & Klaudia Potyka & Agnes Psikuta, 2020. "Energy and Environmental Analysis of Single-Family Houses Located in Poland," Energies, MDPI, vol. 13(11), pages 1-25, May.
    7. József Menyhárt & Ferenc Kalmár, 2019. "Investigation of Thermal Comfort Responses with Fuzzy Logic," Energies, MDPI, vol. 12(9), pages 1-13, May.
    8. Zhenmin Yuan & Jianliang Zhou & Yaning Qiao & Yadi Zhang & Dandan Liu & Hui Zhu, 2020. "BIM-VE-Based Optimization of Green Building Envelope from the Perspective of both Energy Saving and Life Cycle Cost," Sustainability, MDPI, vol. 12(19), pages 1-16, September.
    9. Seyedeh Farzaneh Mousavi Motlagh & Ali Sohani & Mohammad Djavad Saghafi & Hoseyn Sayyaadi & Benedetto Nastasi, 2021. "The Road to Developing Economically Feasible Plans for Green, Comfortable and Energy Efficient Buildings," Energies, MDPI, vol. 14(3), pages 1-30, January.
    10. Jongyeon Lim & Ryozo Ooka, 2021. "A CFD-Based Optimization of Building Configuration for Urban Ventilation Potential," Energies, MDPI, vol. 14(5), pages 1-16, March.
    11. Santos-Herrero, J.M. & Lopez-Guede, J.M. & Flores-Abascal, I., 2021. "Modeling, simulation and control tools for nZEB: A state-of-the-art review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 142(C).
    12. Francesca Romana d’Ambrosio Alfano & Bjarne Wilkens Olesen & Daniela Pepe & Boris Igor Palella, 2023. "Working with Different Building Energy Performance Tools: From Input Data to Energy and Indoor Temperature Predictions," Energies, MDPI, vol. 16(2), pages 1-25, January.
    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.
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