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

E. Catalina Vallejo-Coral, Ricardo Garzón, Miguel Darío Ortega López, Javier Martínez-Gómez () and Marcelo Moya
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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
Marcelo Moya: Facultad de Ciencias Técnicas, Universidad Internacional Del Ecuador UIDE, Quito 170411, Ecuador

Sustainability, 2024, vol. 16, issue 22, 1-18

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.

Keywords: public buildings; consumption profiles; time series; electricity consumption; power consumption (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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