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Determine the Profiles of Power Consumption in Commercial Buildings in a Very Hot Humid Climate Using a Temporary Series

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  • E. Catalina Vallejo-Coral

    (Instituto de Investigación Geológico y Energético (IIGE), Quito 170518, Ecuador)

  • Ricardo Garzón

    (Departamento de Ingeniería Mecánica, Escuela Politécnica Nacional, Ladrón de Guevara E11-253, Quito 170517, Ecuador)

  • Miguel Darío Ortega López

    (Departamento de Ingeniería Mecánica, Escuela Politécnica Nacional, Ladrón de Guevara E11-253, Quito 170517, Ecuador)

  • Javier Martínez-Gómez

    (Universidad de Alcalá, Escuela Politécnica, Departamento de Teoría de la Señal y Comunicación, (Área de Ingeniería Mecánica), 28805 Alcalá de Henares, Spain
    Facultad de Ingeniería y Ciencias Aplicadas, Universidad Internacional SEK, Albert Einstein s/n and 5th, Quito 170302, Ecuador)

  • Marcelo Moya

    (Facultad de Ciencias Técnicas, Universidad Internacional Del Ecuador UIDE, Quito 170411, Ecuador)

Abstract

With the growth of the nations, the commercial and public services sectors have recently seen an increase in their electricity usage. This demonstrates how crucial it is to understand a building’s behavior in order to lower its usage. This requires on-site data collection by qualified professionals and specialized equipment, which represents high costs. However, multiple studies have demonstrated that it is possible to find electricity-saving strategies from the study of electricity usage, recorded in an hourly period or less, captured by smart meters. In this context, the present study applies a methodology to determine useful information on the operation and characteristics of public buildings on the Ecuadorian coast based on the data gathered over a period of five consecutive months from smart meters. The methodology consists of four steps: (1) data cleaning and filling, (2) time-series decomposition, (3) the generation of consumption profile and (4) the identification of the temperature influence. According to the results, the pre-cooling of spaces accounts for 5% of all electricity used in the commercial buildings, while prolonged shutdown uses 10%. Approximately USD 1100 per month would be spent on the main building and USD 78 on the agency as a result.

Suggested Citation

  • E. Catalina Vallejo-Coral & Ricardo Garzón & Miguel Darío Ortega López & Javier Martínez-Gómez & Marcelo Moya, 2024. "Determine the Profiles of Power Consumption in Commercial Buildings in a Very Hot Humid Climate Using a Temporary Series," Sustainability, MDPI, vol. 16(22), pages 1-18, November.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:22:p:9770-:d:1517169
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    References listed on IDEAS

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    1. Li, Kehua & Ma, Zhenjun & Robinson, Duane & Ma, Jun, 2018. "Identification of typical building daily electricity usage profiles using Gaussian mixture model-based clustering and hierarchical clustering," Applied Energy, Elsevier, vol. 231(C), pages 331-342.
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    4. Ethan M Pickering & Mohammad A Hossain & Jack P Mousseau & Rachel A Swanson & Roger H French & Alexis R Abramson, 2017. "A cross-sectional study of the temporal evolution of electricity consumption of six commercial buildings," PLOS ONE, Public Library of Science, vol. 12(10), pages 1-27, October.
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