Metamodels to Assess the Thermal Performance of Naturally Ventilated, Low-Cost Houses in Brazil

Published: 14 Jun 2019 | Version 1 | DOI: 10.17632/wxvdnn764c.1
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Description of this data

Research objective: This study aimed to develop metamodels to assess the thermal discomfort in a naturally ventilated Brazilian low-cost house during early design as a decision-making support framework, and for educational purposes.

Method overview: The method encompassed a large number of simulations of the software EnergyPlus [EP] 8.1 using the Monte Carlo method. These simulations were used to develop a set of regression-based mathematical relationships between the inputs and the outputs. The Monte Carlo method was selected to help sample the many independent input variables, each with its own range of values, and form equally likely random combinations of input conditions for the energy simulation.

Files description: The following data items were made available.

(a) Parameter_Domains: Curitiba_parameterdomains.csv; Manaus_parameterdomains.csv and Sao_Paulo_parametersdomains.csv: CSV files created for each location. They contain a list of the 24 key parameters and random combinations of their values to create the input data for the 10,000 simulations.

(b) Performance_Metrics: Curitiba_performancemetrics.csv; Manaus_performancemetrics.csv and Sao_Paulo_performancemetrics.csv: CSV files created for each location. They contain output values (outdoor and indoor discomfort by heat and by cold) for 10,000 simulations.

(c) Sandbox: Sandbox.xlsx: Excel file for the application of the metamodels. It enables a quick and easy assessment of discomfort by heat and by cold for specific combinations of parameters, for each location.

(d) Python_Codes: Python_Codes.zip: Compressed file consisting of the codes used to 1) run the simulations randomly combining values for each selected parameter within their specified ranges, and 2) to calculate the hours of discomfort by heat and by cold for each of the parameters’ combinations (10,000 simulations for each studied climate).

(e) IDFs_Base: Curitiba_idfbase.idf; Manaus_idfbase.idf; Sao_Paulo_idfbase.idf : Input Data File (IDF) created for each location. They contain the description of all input data considered in an annual building performance simulation.

Experiment data files

Latest version

  • Version 1

    2019-06-14

    Published: 2019-06-14

    DOI: 10.17632/wxvdnn764c.1

    Cite this dataset

    Chvatal, Karin; Rossi, Michele Marta; Oliveira Favretto, Ana Paula ; Grassi, Camila; DeCarolis, Joseph ; Cho, Soolyeon ; Hill, David ; Ranjithan, Ranji (2019), “Metamodels to Assess the Thermal Performance of Naturally Ventilated, Low-Cost Houses in Brazil”, Mendeley Data, v1 http://dx.doi.org/10.17632/wxvdnn764c.1

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Categories

Architecture, Metamodeling, Passive Design, Bioclimatic Architecture

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The files associated with this dataset are licensed under a Creative Commons Attribution 4.0 International licence.

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