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

**Authors:** Jefferson Torres-Quezada, Atila Avila-Argudo

PMC · DOI: 10.1016/j.dib.2025.111818 · Data in Brief · 2025-06-22

## TL;DR

This paper provides a dataset of energy use in 40 residential buildings in Cuenca, Ecuador, from 1980 to 2020, covering heating, cooling, and other energy consumption.

## Contribution

The dataset offers a curated, decade-based analysis of operational energy consumption in Andean residential buildings over four decades.

## Key findings

- The dataset includes energy consumption data for heating, cooling, lighting, appliances, and domestic hot water.
- Ten sample houses per decade were selected to represent typical construction practices of each period.
- The dataset supports research on energy efficiency and sustainable building design in moderate climates.

## 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 in-situ 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.

## Full-text entities

- **Chemicals:** water (MESH:D014867), MJ (-)
- **Species:** Homo sapiens (human, species) [taxon 9606]
- **Mutations:** S10 C

## Full text

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## Figures

3 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12266571/full.md

## References

10 references — full list in the complete paper: https://tomesphere.com/paper/PMC12266571/full.md

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Source: https://tomesphere.com/paper/PMC12266571