Dataset of operational energy of forty Andean buildings from 1980 to 2020

This dataset presents operational energy data from forty residential buildings constructed between 1980 and 2020 in Cuenca, a city in the Andean region of Ecuador. It includes energy consumption data related to heating, cooling, lighting, electrical appliances, domestic hot water and cooking. Ten sample houses from each decade were selected, representing typical construction practices of their respective periods. The study follows three main stages: (1) Analysis of operational energy consumption, showcasing the evolution of energy use across four decades; (2) Simulation and validation, where energy simulations and calculations are performed for each sample, followed by a validation process using <i>in-situ</i> measurements compared with simulated results; and (3) Data curation, where climate data is compiled and updated for further analysis. This dataset includes files and figures that enhance comprehension and support further research on energy efficiency, sustainable building design, and energy policy development in regions with moderate climates. It also enables comparisons with datasets from other geographic regions, contributing to a broader understanding of energy demand patterns in residential buildings.

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Publication Details

Journal
Data in Brief
Published
2025-06-22
DOI
https://doi.org/10.1016/j.dib.2025.111818
Primary Topic
Building Energy and Comfort Optimization
Type
article
Field-Weighted Citation Impact
0.00

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article

Dataset of operational energy of forty Andean buildings from 1980 to 2020

Jefferson Torres-Quezada, Atila Avila-Argudo
Data in Brief
Building Energy and Comfort Optimization
article

Dataset of operational energy of forty Andean buildings from 1980 to 2020

Jefferson Torres-Quezada, Atila Avila-Argudo
article en

Abstract

This dataset presents operational energy data from forty residential buildings constructed between 1980 and 2020 in Cuenca, a city in the Andean region of Ecuador. It includes energy consumption data related to heating, cooling, lighting, electrical appliances, domestic hot water and cooking. Ten sample houses from each decade were selected, representing typical construction practices of their respective periods. The study follows three main stages: (1) Analysis of operational energy consumption, showcasing the evolution of energy use across four decades; (2) Simulation and validation, where energy simulations and calculations are performed for each sample, followed by a validation process using <i>in-situ</i> measurements compared with simulated results; and (3) Data curation, where climate data is compiled and updated for further analysis. This dataset includes files and figures that enhance comprehension and support further research on energy efficiency, sustainable building design, and energy policy development in regions with moderate climates. It also enables comparisons with datasets from other geographic regions, contributing to a broader understanding of energy demand patterns in residential buildings.

Data in BriefVol. 61
Universidad Católica de Cuenca (EC)
Universidad Católica de Cuenca
Affordable and clean energy
Openalex Percentile: Top 85%
Building Energy and Comfort Optimization
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