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,...
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Format: | Article |
Language: | English |
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Elsevier
2021-10-01
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Series: | Data in Brief |
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Online Access: | http://www.sciencedirect.com/science/article/pii/S2352340921006521 |
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author | Mara Magni Fabian Ochs Samuel de Vries Alessandro Maccarini Ferdinand Sigg |
author_facet | Mara Magni Fabian Ochs Samuel de Vries Alessandro Maccarini Ferdinand Sigg |
author_sort | Mara Magni |
collection | DOAJ |
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. |
first_indexed | 2024-12-23T19:14:26Z |
format | Article |
id | doaj.art-610042c992c34a01960b61ced1a84d28 |
institution | Directory Open Access Journal |
issn | 2352-3409 |
language | English |
last_indexed | 2024-12-23T19:14:26Z |
publishDate | 2021-10-01 |
publisher | Elsevier |
record_format | Article |
series | Data in Brief |
spelling | doaj.art-610042c992c34a01960b61ced1a84d282022-12-21T17:34:22ZengElsevierData in Brief2352-34092021-10-0138107370Hourly simulation results of building energy simulation tools using a reference office building as a case studyMara Magni0Fabian Ochs1Samuel de Vries2Alessandro Maccarini3Ferdinand Sigg4Unit for Energy Efficient Buildings, University of Innsbruck, Innsbruck Austria; Corresponding author.Unit for Energy Efficient Buildings, University of Innsbruck, Innsbruck AustriaEindhoven University of Technology, Eindhoven the NetherlandAalborg University Copenhagen DenmarkTechnische Hochschule Rosenheim GermanyThe 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.http://www.sciencedirect.com/science/article/pii/S2352340921006521Building simulationCross comparisonStatistical indices |
spellingShingle | Mara Magni Fabian Ochs Samuel de Vries Alessandro Maccarini Ferdinand Sigg Hourly simulation results of building energy simulation tools using a reference office building as a case study Data in Brief Building simulation Cross comparison Statistical indices |
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 | Building simulation Cross comparison Statistical indices |
url | http://www.sciencedirect.com/science/article/pii/S2352340921006521 |
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