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Datasets of a Multizone Office Building under Different HVAC System Operation Scenarios

This study provides an open-source dataset of the measured weather data, building indoor data, and system data under the different test settings. The test building is the two-story Flexible Research Platform building at the US Department of Energy’s Oak Ridge National Laboratory, in Oak Ridge, Tenne...

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Autores principales: Yoon, Yeobeom, Jung, Sungkyun, Im, Piljae, Gehl, Anthony
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9763383/
https://www.ncbi.nlm.nih.gov/pubmed/36535948
http://dx.doi.org/10.1038/s41597-022-01858-6
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author Yoon, Yeobeom
Jung, Sungkyun
Im, Piljae
Gehl, Anthony
author_facet Yoon, Yeobeom
Jung, Sungkyun
Im, Piljae
Gehl, Anthony
author_sort Yoon, Yeobeom
collection PubMed
description This study provides an open-source dataset of the measured weather data, building indoor data, and system data under the different test settings. The test building is the two-story Flexible Research Platform building at the US Department of Energy’s Oak Ridge National Laboratory, in Oak Ridge, Tennessee. Four heating tests and three cooling tests were conducted. The 1-min interval of weather, building indoor data, and system data from each test setting are provided. Actual weather data were collected from a weather station installed on the roof. This paper describes information on the test building and installed sensors, data collection method, and data validation. The provided dataset can be employed to understand HVAC system conditions and building indoor conditions under different HVAC system operations and the performance of building envelope without HVAC system operation using free-floating test data. Additionally, it can be used for empirical validation of the building energy modelling engine.
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spelling pubmed-97633832022-12-21 Datasets of a Multizone Office Building under Different HVAC System Operation Scenarios Yoon, Yeobeom Jung, Sungkyun Im, Piljae Gehl, Anthony Sci Data Data Descriptor This study provides an open-source dataset of the measured weather data, building indoor data, and system data under the different test settings. The test building is the two-story Flexible Research Platform building at the US Department of Energy’s Oak Ridge National Laboratory, in Oak Ridge, Tennessee. Four heating tests and three cooling tests were conducted. The 1-min interval of weather, building indoor data, and system data from each test setting are provided. Actual weather data were collected from a weather station installed on the roof. This paper describes information on the test building and installed sensors, data collection method, and data validation. The provided dataset can be employed to understand HVAC system conditions and building indoor conditions under different HVAC system operations and the performance of building envelope without HVAC system operation using free-floating test data. Additionally, it can be used for empirical validation of the building energy modelling engine. Nature Publishing Group UK 2022-12-19 /pmc/articles/PMC9763383/ /pubmed/36535948 http://dx.doi.org/10.1038/s41597-022-01858-6 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Data Descriptor
Yoon, Yeobeom
Jung, Sungkyun
Im, Piljae
Gehl, Anthony
Datasets of a Multizone Office Building under Different HVAC System Operation Scenarios
title Datasets of a Multizone Office Building under Different HVAC System Operation Scenarios
title_full Datasets of a Multizone Office Building under Different HVAC System Operation Scenarios
title_fullStr Datasets of a Multizone Office Building under Different HVAC System Operation Scenarios
title_full_unstemmed Datasets of a Multizone Office Building under Different HVAC System Operation Scenarios
title_short Datasets of a Multizone Office Building under Different HVAC System Operation Scenarios
title_sort datasets of a multizone office building under different hvac system operation scenarios
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9763383/
https://www.ncbi.nlm.nih.gov/pubmed/36535948
http://dx.doi.org/10.1038/s41597-022-01858-6
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