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Easy to implement ventilated sunspace for energy retrofit of condominium buildings with balconies

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  • Allesina, Giulio
  • Ferrari, Chiara
  • Muscio, Alberto
  • Pedrazzi, Simone

Abstract

Energy retrofit of the facade of condominium buildings may be a difficult task because thermal bridges such as those due to balconies, common elements in the architecture of many countries, are often arduous to correct by added insulation due to several constraints. An alternative retrofit approach is therefore analyzed, easy to implement and relatively inexpensive. It consists in changing a balcony into a ventilated sunspace during the cold season, exploiting solar gains to compensate heat loss. More specifically, transparent plastic roll-up sheets are installed along the balcony perimeter, removable in the hot season, to enclose the volume between two superposed balcony slabs. The obtained sunspace is then used as a pre-heating chamber for a single-flow ventilation system that ensures the air changes required indoors. Heat gain to the indoor environment can thus be increased with respect to a simpler sunspace without ventilation, and possibly modulated along the day by proper control of the flow rate.

Suggested Citation

  • Allesina, Giulio & Ferrari, Chiara & Muscio, Alberto & Pedrazzi, Simone, 2019. "Easy to implement ventilated sunspace for energy retrofit of condominium buildings with balconies," Renewable Energy, Elsevier, vol. 141(C), pages 541-548.
    • Handle: RePEc:eee:renene:v:141:y:2019:i:c:p:541-548
    DOI: 10.1016/j.renene.2019.04.037
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    References listed on IDEAS

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    1. Oliveti, Giuseppe & Arcuri, Natale & De Simone, Marilena & Bruno, Roberto, 2012. "Solar heat gains and operative temperature in attached sunspaces," Renewable Energy, Elsevier, vol. 39(1), pages 241-249.
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    2. Calautit, John Kaiser & O’Connor, Dominic & Tien, Paige Wenbin & Wei, Shuangyu & Pantua, Conrad Allan Jay & Hughes, Ben, 2020. "Development of a natural ventilation windcatcher with passive heat recovery wheel for mild-cold climates: CFD and experimental analysis," Renewable Energy, Elsevier, vol. 160(C), pages 465-482.
    3. Tien, Paige Wenbin & Wei, Shuangyu & Liu, Tianshu & Calautit, John & Darkwa, Jo & Wood, Christopher, 2021. "A deep learning approach towards the detection and recognition of opening of windows for effective management of building ventilation heat losses and reducing space heating demand," Renewable Energy, Elsevier, vol. 177(C), pages 603-625.
    4. Qingsong Ma & Cui Xu & Xiaofei Chen & Weijun Gao & Xindong Wei, 2022. "Experimental and Simulation Research on the Energy-Saving Potential of a Sunspace—Taking an Apartment in Qingdao as an Example," Sustainability, MDPI, vol. 15(1), pages 1-21, December.

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