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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Main Authors: Mara Magni, Fabian Ochs, Samuel de Vries, Alessandro Maccarini, Ferdinand Sigg
Format: Article
Language:English
Published: Elsevier 2021-10-01
Series:Data in Brief
Subjects:
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.
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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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