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Small power and lighting load time series data for 27 departments across 8 UK hospitals
The electricity consumption of 27 departments was measured across 8 medium to large General Acute hospitals in England (largely by the authors, some data was donated and authorised for publication by the respective hospitals). The departments fall into 6 different categories which have been selected...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5063798/ https://www.ncbi.nlm.nih.gov/pubmed/27761497 http://dx.doi.org/10.1016/j.dib.2016.03.076 |
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author | Morgenstern, Paula Li, Maria Raslan, Rokia Ruyssevelt, Paul Wright, Andrew |
author_facet | Morgenstern, Paula Li, Maria Raslan, Rokia Ruyssevelt, Paul Wright, Andrew |
author_sort | Morgenstern, Paula |
collection | PubMed |
description | The electricity consumption of 27 departments was measured across 8 medium to large General Acute hospitals in England (largely by the authors, some data was donated and authorised for publication by the respective hospitals). The departments fall into 6 different categories which have been selected due to their prevalence in General Acute Hospitals (wards), their high energy intensities (theatres, laboratories, imaging and radiotherapy) or their distinct operating hours (day clinics). This data article provides floor areas and the time series of departmental power loads, mostly encompassing lighting and small power (but excluding central electricity use for ventilation, pumping and medical gas services). Comparative interpretations of the data are published in doi: 10.1016/j.enbuild.2016.02.052 [1]. |
format | Online Article Text |
id | pubmed-5063798 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-50637982016-10-19 Small power and lighting load time series data for 27 departments across 8 UK hospitals Morgenstern, Paula Li, Maria Raslan, Rokia Ruyssevelt, Paul Wright, Andrew Data Brief Data Article The electricity consumption of 27 departments was measured across 8 medium to large General Acute hospitals in England (largely by the authors, some data was donated and authorised for publication by the respective hospitals). The departments fall into 6 different categories which have been selected due to their prevalence in General Acute Hospitals (wards), their high energy intensities (theatres, laboratories, imaging and radiotherapy) or their distinct operating hours (day clinics). This data article provides floor areas and the time series of departmental power loads, mostly encompassing lighting and small power (but excluding central electricity use for ventilation, pumping and medical gas services). Comparative interpretations of the data are published in doi: 10.1016/j.enbuild.2016.02.052 [1]. Elsevier 2016-03-30 /pmc/articles/PMC5063798/ /pubmed/27761497 http://dx.doi.org/10.1016/j.dib.2016.03.076 Text en © 2016 The Authors http://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 Morgenstern, Paula Li, Maria Raslan, Rokia Ruyssevelt, Paul Wright, Andrew Small power and lighting load time series data for 27 departments across 8 UK hospitals |
title | Small power and lighting load time series data for 27 departments across 8 UK hospitals |
title_full | Small power and lighting load time series data for 27 departments across 8 UK hospitals |
title_fullStr | Small power and lighting load time series data for 27 departments across 8 UK hospitals |
title_full_unstemmed | Small power and lighting load time series data for 27 departments across 8 UK hospitals |
title_short | Small power and lighting load time series data for 27 departments across 8 UK hospitals |
title_sort | small power and lighting load time series data for 27 departments across 8 uk hospitals |
topic | Data Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5063798/ https://www.ncbi.nlm.nih.gov/pubmed/27761497 http://dx.doi.org/10.1016/j.dib.2016.03.076 |
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