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Energy-Based Design: Improving Modern Brazilian Buildings Performance through Their Shading Systems, the Nova Cintra Case Study

Author(s): ORCID
ORCID
Medium: journal article
Language(s): English
Published in: Buildings, , n. 10, v. 13
Page(s): 2543
DOI: 10.3390/buildings13102543
Abstract:

Current research applies an energy-based design model to improve performance in existing modern buildings, in Rio de Janeiro, from the 1940’s, improving these buildings’ shading systems. This article proposes a methodology tested through a case study, the Nova Cintra building. The methodology starts by analysing the original shading system performance, regarding insolation, illuminance and air temperature. Using these results, proposes two computacional methods to improve performance: (1) a combinatorial modelling process, recombining the existing shading systems positions in the building’s north façade; and (2) a transformation process, using parametric and algorithmic–parametric modelling, to improve the existing shading systems performance. Both processes use optimization algorithms. The results of these modelling and optimization methods are compared with the results of the original system and suggests an improvement between 111.1% and 590.4% for insolation; between 360.9% and 84.4% for illuminance; and between 2.9% and 3.0% for air temperature, considering winter and summer solstices. This improvement aims at reducing the buildings’ energy consumption and foresees the production of renewable energy from solar harvesting, to mitigate climate change.

Copyright: © 2023 by the authors; licensee MDPI, Basel, Switzerland.
License:

This creative work has been published under the Creative Commons Attribution 4.0 International (CC-BY 4.0) license which allows copying, and redistribution as well as adaptation of the original work provided appropriate credit is given to the original author and the conditions of the license are met.

  • About this
    data sheet
  • Reference-ID
    10744493
  • Published on:
    28/10/2023
  • Last updated on:
    07/02/2024
 
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