Cargando…
Hourly simulation results of building energy simulation tools using a reference office building as a case study
The data presented in this article are the results of widespread building simulation tools (i.e. EnergyPlus, TRNSYS, Simulink/CarnotUIBK, Simulink/ALMABuild, IDA ICE, Modelica/Dymola and DALEC) used to simulate a characteristic office cell, described within IEA SHC Task 56 [1], located in Stockholm,...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8461343/ https://www.ncbi.nlm.nih.gov/pubmed/34589559 http://dx.doi.org/10.1016/j.dib.2021.107370 |
_version_ | 1784571958294216704 |
---|---|
author | Magni, Mara Ochs, Fabian de Vries, Samuel Maccarini, Alessandro Sigg, Ferdinand |
author_facet | Magni, Mara Ochs, Fabian de Vries, Samuel Maccarini, Alessandro Sigg, Ferdinand |
author_sort | Magni, Mara |
collection | PubMed |
description | The data presented in this article are the results of widespread building simulation tools (i.e. EnergyPlus, TRNSYS, Simulink/CarnotUIBK, Simulink/ALMABuild, IDA ICE, Modelica/Dymola and DALEC) used to simulate a characteristic office cell, described within IEA SHC Task 56 [1], located in Stockholm, Stuttgart and Rome. Hourly data for each component of the thermal balance (i.e. Heating, cooling, infiltration, ventilation, internal gains, solar gains) and the hourly convective and radiative temperatures are reported for all the tools along with the ambient temperature and solar irradiation on the south façade. The mainly used statistical indices (i.e. Mean Bias Error, Mean Absolute Error, Root Mean Square Error and coefficient of determination) are applied to evaluate the accuracy of the tools. For more insight and interpretation of the results, please see “Detailed Cross Comparison of Building Energy Simulation Tools Results using a reference office building as a case study” [2]. This data set and evaluation methods are made available to ease the cross-validation process for other researchers. |
format | Online Article Text |
id | pubmed-8461343 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-84613432021-09-28 Hourly simulation results of building energy simulation tools using a reference office building as a case study Magni, Mara Ochs, Fabian de Vries, Samuel Maccarini, Alessandro Sigg, Ferdinand Data Brief Data Article The data presented in this article are the results of widespread building simulation tools (i.e. EnergyPlus, TRNSYS, Simulink/CarnotUIBK, Simulink/ALMABuild, IDA ICE, Modelica/Dymola and DALEC) used to simulate a characteristic office cell, described within IEA SHC Task 56 [1], located in Stockholm, Stuttgart and Rome. Hourly data for each component of the thermal balance (i.e. Heating, cooling, infiltration, ventilation, internal gains, solar gains) and the hourly convective and radiative temperatures are reported for all the tools along with the ambient temperature and solar irradiation on the south façade. The mainly used statistical indices (i.e. Mean Bias Error, Mean Absolute Error, Root Mean Square Error and coefficient of determination) are applied to evaluate the accuracy of the tools. For more insight and interpretation of the results, please see “Detailed Cross Comparison of Building Energy Simulation Tools Results using a reference office building as a case study” [2]. This data set and evaluation methods are made available to ease the cross-validation process for other researchers. Elsevier 2021-09-14 /pmc/articles/PMC8461343/ /pubmed/34589559 http://dx.doi.org/10.1016/j.dib.2021.107370 Text en © 2021 The Authors 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 Magni, Mara Ochs, Fabian de Vries, Samuel Maccarini, Alessandro Sigg, Ferdinand Hourly simulation results of building energy simulation tools using a reference office building as a case study |
title | Hourly simulation results of building energy simulation tools using a reference office building as a case study |
title_full | Hourly simulation results of building energy simulation tools using a reference office building as a case study |
title_fullStr | Hourly simulation results of building energy simulation tools using a reference office building as a case study |
title_full_unstemmed | Hourly simulation results of building energy simulation tools using a reference office building as a case study |
title_short | Hourly simulation results of building energy simulation tools using a reference office building as a case study |
title_sort | hourly simulation results of building energy simulation tools using a reference office building as a case study |
topic | Data Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8461343/ https://www.ncbi.nlm.nih.gov/pubmed/34589559 http://dx.doi.org/10.1016/j.dib.2021.107370 |
work_keys_str_mv | AT magnimara hourlysimulationresultsofbuildingenergysimulationtoolsusingareferenceofficebuildingasacasestudy AT ochsfabian hourlysimulationresultsofbuildingenergysimulationtoolsusingareferenceofficebuildingasacasestudy AT devriessamuel hourlysimulationresultsofbuildingenergysimulationtoolsusingareferenceofficebuildingasacasestudy AT maccarinialessandro hourlysimulationresultsofbuildingenergysimulationtoolsusingareferenceofficebuildingasacasestudy AT siggferdinand hourlysimulationresultsofbuildingenergysimulationtoolsusingareferenceofficebuildingasacasestudy |