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Modelagem bottom-up do consumo por uso final de eletricidade no setor residencial no Brasil (Bottom-up modelling of electricity end-use consumption of the residential sector in Brazil)

Author(s): ORCID
ORCID
ORCID
ORCID
Medium: journal article
Language(s): Portuguese
Published in: Ambiente Construído, , n. 3, v. 22
Page(s): 113-131
DOI: 10.1590/s1678-86212022000300611
Abstract:

Electricity consumption in the residential sector in Brazil has been increasing annually despite efforts to promote the energy efficiency of household appliances. One of the main goals for achieving more energy efficiency in dwellings is understanding its energy end uses. In this context, this paper presents a bottom-up model developed to analyse regional and national electricity end uses in the residential sector in Brazil based on a recent survey on Ownership of Appliances and Consumption Habits. The percentages of total electricity consumption associated with nine appliances (light bulbs, refrigerators, freezers, televisions, showers, microwaves, washing machines, fans, and air conditioners) were estimated. The values were obtained using the software EnergyPlus for air conditioners and electricity consumption equations for the other eight appliances. Results show that the proposed model gives reasonable estimates of electricity consumption, which were close to the values expected for most appliances. Regionally, the appliances for which ownership and pattern of use are influenced by the climate (electric showers, fans, and air conditioners) obtained the most significant variation in the percentage of electricity consumption.

Copyright: © 2022 Cristiano André Teixeira, Ana Paula Melo, Michele Fossati, Roberto Lamberts
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
    10680012
  • Published on:
    17/06/2022
  • Last updated on:
    10/11/2022
 
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