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Optimisation of a social housing for south of Brazil: From basic performance standard to passive house concept

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  • Dalbem, Renata
  • Grala da Cunha, Eduardo
  • Vicente, Romeu
  • Figueiredo, Antonio
  • Oliveira, Rui
  • Silva, Antonio César Silveira Baptista da

Abstract

The paper aims to discuss the adaptation of a brazilian social housing project to the Passive House standard, by defining the thermal envelope construction fabric for different climates of southern Brazil, from a base line according to the Brazilian performance standard. The study was developed in 4 steps, where a numerical model was set up and runned in a transient regime, using EnergyPlus® software. In the first step, the thermal and energy performance of the reference base model was assessed. In the second step, a sensitivity analysis was performed, varying the thermal envelope parameters of the building case study, in order to satisfy the minimum performance of the classification level A, according to the Brazilian Energy Efficiency Regulation (RTQ-R). In a third step, the external envelope of the building was optimised, through a multi-objective evolutionary algorithm. In a last step, the numerical model defined according to the Passive House standard was optimised, in order to obtain optimal solutions. Thermal and energy performance and economic viability of the solutions were analysed. Solutions attending to RTQ-R presented additional investment between 26% and 27% and solutions attending to Passive House standard presented additional costs of 39% and 42% for the three bioclimatic zones.

Suggested Citation

  • Dalbem, Renata & Grala da Cunha, Eduardo & Vicente, Romeu & Figueiredo, Antonio & Oliveira, Rui & Silva, Antonio César Silveira Baptista da, 2019. "Optimisation of a social housing for south of Brazil: From basic performance standard to passive house concept," Energy, Elsevier, vol. 167(C), pages 1278-1296.
    • Handle: RePEc:eee:energy:v:167:y:2019:i:c:p:1278-1296
    DOI: 10.1016/j.energy.2018.11.053
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    References listed on IDEAS

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    1. Rui Oliveira & António Figueiredo & Romeu Vicente & Ricardo M. S. F. Almeida, 2018. "Multi-Objective Optimisation of the Energy Performance of Lightweight Constructions Combining Evolutionary Algorithms and Life Cycle Cost," Energies, MDPI, vol. 11(7), pages 1-23, July.
    2. Schnieders, Jurgen & Hermelink, Andreas, 2006. "CEPHEUS results: measurements and occupants' satisfaction provide evidence for Passive Houses being an option for sustainable building," Energy Policy, Elsevier, vol. 34(2), pages 151-171, January.
    3. Badescu, Viorel & Laaser, Nadine & Crutescu, Ruxandra, 2010. "Warm season cooling requirements for passive buildings in Southeastern Europe (Romania)," Energy, Elsevier, vol. 35(8), pages 3284-3300.
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    Cited by:

    1. Xing Li & Qinli Deng & Zhigang Ren & Xiaofang Shan & Guang Yang, 2021. "Parametric Study on Residential Passive House Building in Different Chinese Climate Zones," Sustainability, MDPI, vol. 13(8), pages 1-19, April.
    2. Fang Wang & Wen-Jia Yang & Wei-Feng Sun, 2020. "Heat Transfer and Energy Consumption of Passive House in a Severely Cold Area: Simulation Analyses," Energies, MDPI, vol. 13(3), pages 1-19, February.
    3. Rodrigues, Eugénio & Parente, Jean & Fernandes, Marco S., 2024. "Building for tomorrow: Analyzing ideal thermal transmittances in the face of climate change in Brazil," Applied Energy, Elsevier, vol. 355(C).
    4. Forde, Joe & Hopfe, Christina J. & McLeod, Robert S. & Evins, Ralph, 2020. "Temporal optimization for affordable and resilient Passivhaus dwellings in the social housing sector," Applied Energy, Elsevier, vol. 261(C).
    5. Cubillos-González, Rolando-Arturo & Cardoso, Grace Tibério, 2021. "Affordable housing and clean technology transfer in construction firms in Brazil," Technology in Society, Elsevier, vol. 67(C).
    6. Chenfei Liu & Stephen Sharples & Haniyeh Mohammadpourkarbasi, 2021. "Evaluating Insulation, Glazing and Airtightness Options for Passivhaus EnerPHit Retrofitting of a Dwelling in China’s Hot Summer–Cold Winter Climate Region," Energies, MDPI, vol. 14(21), pages 1-17, October.

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