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Sub-hourly measurement datasets from 6 real buildings: Energy use and indoor climate

The data presented here were collected independently for 6 real buildings by researchers of different institutions and gathered in the context of the IEA EBC Annex 81 Data-driven Smart Buildings, as a joint effort to compile a diverse range of datasets suitable for advanced control applications of i...

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Autores principales: Sartori, Igor, Walnum, Harald Taxt, Skeie, Kristian S., Georges, Laurent, Knudsen, Michael D., Bacher, Peder, Candanedo, José, Sigounis, Anna-Maria, Prakash, Anand Krishnan, Pritoni, Marco, Granderson, Jessica, Yang, Shiyu, Wan, Man Pun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10160339/
https://www.ncbi.nlm.nih.gov/pubmed/37153123
http://dx.doi.org/10.1016/j.dib.2023.109149
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author Sartori, Igor
Walnum, Harald Taxt
Skeie, Kristian S.
Georges, Laurent
Knudsen, Michael D.
Bacher, Peder
Candanedo, José
Sigounis, Anna-Maria
Prakash, Anand Krishnan
Pritoni, Marco
Granderson, Jessica
Yang, Shiyu
Wan, Man Pun
author_facet Sartori, Igor
Walnum, Harald Taxt
Skeie, Kristian S.
Georges, Laurent
Knudsen, Michael D.
Bacher, Peder
Candanedo, José
Sigounis, Anna-Maria
Prakash, Anand Krishnan
Pritoni, Marco
Granderson, Jessica
Yang, Shiyu
Wan, Man Pun
author_sort Sartori, Igor
collection PubMed
description The data presented here were collected independently for 6 real buildings by researchers of different institutions and gathered in the context of the IEA EBC Annex 81 Data-driven Smart Buildings, as a joint effort to compile a diverse range of datasets suitable for advanced control applications of indoor climate and energy use in buildings. The data were acquired by energy meters, both consumption and PV generation, and sensors of technical installation and indoor climate variables, such as temperature, flow rate, relative humidity, CO(2) level, illuminance. Weather variables were either acquired by local sensors or obtained from a close by meteorological station. The data were collected either during normal operation of the building, with observation periods between 2 weeks and 2 months, or during experiments designed to excite the thermal mass of the building, with observation periods of approximately one week. The data have a time resolution varying between 1 min and 15 min; in some case the highest resolution data are also averaged at larger intervals, up to 30 min.
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spelling pubmed-101603392023-05-06 Sub-hourly measurement datasets from 6 real buildings: Energy use and indoor climate Sartori, Igor Walnum, Harald Taxt Skeie, Kristian S. Georges, Laurent Knudsen, Michael D. Bacher, Peder Candanedo, José Sigounis, Anna-Maria Prakash, Anand Krishnan Pritoni, Marco Granderson, Jessica Yang, Shiyu Wan, Man Pun Data Brief Data Article The data presented here were collected independently for 6 real buildings by researchers of different institutions and gathered in the context of the IEA EBC Annex 81 Data-driven Smart Buildings, as a joint effort to compile a diverse range of datasets suitable for advanced control applications of indoor climate and energy use in buildings. The data were acquired by energy meters, both consumption and PV generation, and sensors of technical installation and indoor climate variables, such as temperature, flow rate, relative humidity, CO(2) level, illuminance. Weather variables were either acquired by local sensors or obtained from a close by meteorological station. The data were collected either during normal operation of the building, with observation periods between 2 weeks and 2 months, or during experiments designed to excite the thermal mass of the building, with observation periods of approximately one week. The data have a time resolution varying between 1 min and 15 min; in some case the highest resolution data are also averaged at larger intervals, up to 30 min. Elsevier 2023-04-13 /pmc/articles/PMC10160339/ /pubmed/37153123 http://dx.doi.org/10.1016/j.dib.2023.109149 Text en © 2023 The Authors. Published by Elsevier Inc. https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Data Article
Sartori, Igor
Walnum, Harald Taxt
Skeie, Kristian S.
Georges, Laurent
Knudsen, Michael D.
Bacher, Peder
Candanedo, José
Sigounis, Anna-Maria
Prakash, Anand Krishnan
Pritoni, Marco
Granderson, Jessica
Yang, Shiyu
Wan, Man Pun
Sub-hourly measurement datasets from 6 real buildings: Energy use and indoor climate
title Sub-hourly measurement datasets from 6 real buildings: Energy use and indoor climate
title_full Sub-hourly measurement datasets from 6 real buildings: Energy use and indoor climate
title_fullStr Sub-hourly measurement datasets from 6 real buildings: Energy use and indoor climate
title_full_unstemmed Sub-hourly measurement datasets from 6 real buildings: Energy use and indoor climate
title_short Sub-hourly measurement datasets from 6 real buildings: Energy use and indoor climate
title_sort sub-hourly measurement datasets from 6 real buildings: energy use and indoor climate
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10160339/
https://www.ncbi.nlm.nih.gov/pubmed/37153123
http://dx.doi.org/10.1016/j.dib.2023.109149
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