1980 - 2020年40座安第斯建筑运行能耗数据集

IF 1.4 Q3 MULTIDISCIPLINARY SCIENCES
Jefferson Torres-Quezada , Atila Avila-Argudo
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引用次数: 0

摘要

该数据集展示了厄瓜多尔安第斯地区昆卡市1980年至2020年间建造的40座住宅建筑的运行能源数据。它包括与供暖、制冷、照明、电器、家庭热水和烹饪有关的能源消耗数据。从每个十年中选择了十个样本房屋,代表了各自时期的典型建筑实践。研究分为三个主要阶段:(1)运营能耗分析,展示40年来能源使用的演变;(2)模拟和验证,对每个样品进行能量模拟和计算,然后使用现场测量与模拟结果进行验证;(3)数据管理,对气候数据进行汇编和更新,以供进一步分析。该数据集包含的文件和数据增强了对温和气候地区能源效率、可持续建筑设计和能源政策制定的理解,并为进一步研究提供了支持。它还可以与其他地理区域的数据集进行比较,有助于更广泛地了解住宅建筑的能源需求模式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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 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.
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来源期刊
Data in Brief
Data in Brief MULTIDISCIPLINARY SCIENCES-
CiteScore
3.10
自引率
0.00%
发文量
996
审稿时长
70 days
期刊介绍: Data in Brief provides a way for researchers to easily share and reuse each other''s datasets by publishing data articles that: -Thoroughly describe your data, facilitating reproducibility. -Make your data, which is often buried in supplementary material, easier to find. -Increase traffic towards associated research articles and data, leading to more citations. -Open up doors for new collaborations. Because you never know what data will be useful to someone else, Data in Brief welcomes submissions that describe data from all research areas.
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