Systemic model for the analysis of residential energy consumption scenarios

Authors

  • Dante Andrés Barbero Consejo Nacional de Investigaciones Científicas y Técnicas. Universidad Nacional de La Plata. Facultad de Arquitectura y Urbanismo
  • Pedro Joaquín Chévez Consejo Nacional de Investigaciones Científicas y Técnicas. Universidad Nacional de La Plata. Facultad de Arquitectura y Urbanismo
  • Carlos Alberto Discoli Consejo Nacional de Investigaciones Científicas y Técnicas. Universidad Nacional de La Plata. Facultad de Arquitectura y Urbanismo
  • Irene Martini Consejo Nacional de Investigaciones Científicas y Técnicas. Universidad Nacional de La Plata. Facultad de Arquitectura y Urbanismo

DOI:

https://doi.org/10.30972/crn.32325958

Keywords:

Systemic model, Simulation, Energy saving, Cooling and heating

Abstract

This paper presents the methodology and development of a systemic model, built using the systems dynamic methodology, for the analysis of energy consumption scenarios by air conditioning in the residential sector. The model allows to analyze the total energy consumption of homes and disaggregated by equipment applying efficiency measures. For the modeling of the consumption for cooling and heating, different equipment was taken into account considering for each one: the quantity, nominal powers, labeling levels according to current norms and the average hours of use. Likewise, the possibility of analyzing different energy efficiency measures was included in the model. The developed model allows analyzing the temporal evolution of the disaggregated and total energy demand of the building equipment, allowing to compare, through sensitivity analysis, different possible scenarios from the adoption of various technological and energy efficiency measures.

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Author Biographies

Dante Andrés Barbero, Consejo Nacional de Investigaciones Científicas y Técnicas. Universidad Nacional de La Plata. Facultad de Arquitectura y Urbanismo

Posdoctorado (UNC). Doctor en Ciencias Informáticas (UNLP). Magíster en Paisaje, Medio Ambiente y Ciudad (UNLP). Licenciado en Informática (UNLP). Analista de computación (UNLP). Investigador adjunto del CONICET. IIPAC, FAU, CONICET-UNLP.

 

Pedro Joaquín Chévez, Consejo Nacional de Investigaciones Científicas y Técnicas. Universidad Nacional de La Plata. Facultad de Arquitectura y Urbanismo

Doctor en Ciencias (área: Energías Renovables) (UNSa). Especialista en Energías Renovables (UNSa). Arquitecto (UNLP). Investigador asistente del CONICET. Docente FAU, UNLP. IIPAC, FAU, CONICET-UNLP.

Carlos Alberto Discoli, Consejo Nacional de Investigaciones Científicas y Técnicas. Universidad Nacional de La Plata. Facultad de Arquitectura y Urbanismo

Doctor en Ciencias (área: Energías Renovables) (UNSa). Magíster en Ambiente y Patología Ambiental (UNLP/Universidad de Siena). Especialista en Ambiente y Patología Ambiental (UNLP/Universidad de Siena). Ingeniero Mecánico (UNLP). Investigador principal del CONICET. IIPAC, FAU, CONICET-UNLP.

Irene Martini, Consejo Nacional de Investigaciones Científicas y Técnicas. Universidad Nacional de La Plata. Facultad de Arquitectura y Urbanismo

Doctora en Ciencias (área: Energías Renovables) (UNSa). Magíster en Políticas Ambientales y Territorales (UBA). Arquitecta (UNLP). Investigadora independiente del CONICET. Docente FAU, UNLP. IIPAC, FAU, CONICET-UNLP.

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Published

2022-06-29

Issue

Vol. 32 No. 32 (2022)

Section

ARTICLES

License

CUADERNO URBANO sustains its commitment to the Open Access policies for scientific information, on account of the fact that both scientific publications and public funded research must circulate freely on the Internet and without restrictions.

CUADERNO URBANO ratifies the Open Access model in which the contents of scientific publications are available in full text free of charge on the Internet, without temporary embargoes, and whose editorial production costs are not transferred to the authors. This policy proposes breaking down the economic barriers that generate inequities both in access to information and in the publication of research results.

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