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Dataset of Operational Energy of forty Andean Buildings from 1980 to 2020.

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NIAID Data Ecosystem2026-05-02 收录
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The files presented in this Dataset Article are divided in three parts: the Operational Energy results; the Simulation data which include simulation files and morphological/materials characteristics of each sample; and the Climate data which refer to an updated climate file for the study region. These three parts of the data are described below: 1) Operational Energy Data. The is the entire house Operational Energy, named as Specific Total Operational Energy STOE, which accounts for the summatory of space heating and space cooling (sh + sc), lighting and electrical appliances (l + e) and Domestic Hot Water and Cooking (d + c), divided by the total floor area of each residential building. This value is calculated for each of the forty houses in the study accounting both annually and a 50-years lifespan consumption. These results are shown in the repository in the file named STOE.xlsx. 2) Simulation Data This section contains two types of files. On one hand, numerical data is presented in three Excel files which are in the repository with the names: Building_Features.xlsx, Measurements.xlsx, and Measurements&Simulations_Results.xlsx. On the other hand, there are forty DesignBuilder (.dsb) files which are in the repository in a folder named SimulationDATA. In First instance this section presents the Building_Features.xlsx table that contains the raw data from the envelope materials of each one of the 40 sample buildings. The Measurements.xlsx file contains the raw data measured in situ from eight houses used in the study to validate the simulations. Furthermore, the Measurements&Simulations_Results.xlsx file, this table contains the raw data from each one of the eight samples measured in-situ and simulated in DesignBuilder accordingly. Lastly, this section presents 40 DesignBuilder Files (.dsb) one for each of the 40 analysed houses and stored in separate .dsb files, named using the format P#_S#, where P represents the period (decade), and S represents the sample number. Each file is configured according to the unique morphology and the materials are taken from the file Building_Features.xlsx . The intensity and schedule of lighting, equipment and occupancy were established as a common setting for all forty samples. 3) Climate Data This section contains two files. The first one is the climate data gathered to update the weather file to use for simulation, named as Climate_Data_Forupdate.xlsx. The second one is the updated climate file itself, named as ECU_CUENCA_IWEC_2022.epw. The Climate_Data_Forupdate.xlsx is an excel table, which was created through the climate data gathered during July and August from the weather station ICUENC29 (coordinates: 2.89°S, 79.01°W, altitude: 2564 masl) Finally, the second file is ECU_CUENCA_IWEC_2022.epw which is an Energy Plus Weather file updated with the information collected from the meteorological station from July 1, 2021, at 12:04 AM to August 31, 2021, at 11:59 PM, with a sampling interval of 1-hour.
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2025-05-19
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