Empirical validation of building energy simulation model input parameter for multizone commercial building during the cooling season

Yoon, Y.; Jung, S.; Im, P.; Salonvaara, M.; Bhandari, M.; Kunwar, N.

doi:10.1016/j.rser.2023.113889

Empirical validation of building energy simulation model input parameter for multizone commercial building during the cooling season

Journal Article · Sat Oct 14 00:00:00 EDT 2023 · Renewable and Sustainable Energy Reviews

DOI:https://doi.org/10.1016/j.rser.2023.113889· OSTI ID:2205416

Yoon, Y. ^[1]; Jung, S. ^[1]; Im, P. ^[1]; ^[1]; Bhandari, M. ^[1]; ^[1]

Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)

This paper presents a critical advancement in Building Energy Modeling (BEM) through an empirical validation approach using a high-quality dataset from a multizone commercial office building in Oak Ridge, TN, USA. BEM is widely utilized in diverse construction applications, but its effectiveness relies on the accuracy of its predictions. The study focuses on empirical validation of input parameters in BEM, including building envelope data, infiltration modeling, and rooftop unit system performance curves. The validation of simulation input parameters leads to substantial improvements in the accuracy of simulation results. Notable both NMBE and cv (RMSE) values are reduced by 0.5 % for indoor air temperature and 17 % for indoor air relative humidity compared to the previous model. At the system level, both NMBE and cv (RMSE) values are reduced by 2 % for fan energy consumption and 4 % for cooling energy consumption, compared to the previous model. A literature review highlights a significant gap in empirical validation studies, which predominantly concentrate on either component-level or whole building validation. Furthermore, many studies employ simplified setups that may not faithfully represent the complexities of multizone commercial buildings. This paper distinguishes itself by emphasizing the critical importance of component-level input parameter validation. It underlines the need to validate data related to building envelope components and HVAC system performance curves, resulting in more accurate simulation outcomes. In conclusion, the utilization of actual multizone commercial building data enhances the study's practical relevance. In summary, this research underscores the pivotal role of input parameter validation in enhancing the accuracy and reliability of BEM.

View Accepted Manuscript (DOE)

Research Organization:: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)

Sponsoring Organization:: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Energy Efficiency Office. Building Technologies Office; USDOE Office of Science (SC), Basic Energy Sciences (BES). Scientific User Facilities (SUF)

Grant/Contract Number:: AC05-00OR22725

OSTI ID:: 2205416

Journal Information:: Renewable and Sustainable Energy Reviews, Journal Name: Renewable and Sustainable Energy Reviews Journal Issue: 1 Vol. 188; ISSN 1364-0321

Publisher:: ElsevierCopyright Statement

Country of Publication:: United States

Language:: English

References (27)

Modeling of HVAC operational faults in building performance simulation Zhang, Rongpeng; Hong, Tianzhen Applied Energy, Vol. 202 https://doi.org/10.1016/j.apenergy.2017.05.153	journal	September 2017
Empirical validation of building energy modeling for multi-zones commercial buildings in cooling season Im, Piljae; Joe, Jaewan; Bae, Yeonjin Applied Energy, Vol. 261 https://doi.org/10.1016/j.apenergy.2019.114374	journal	March 2020
Nationwide HVAC energy-saving potential quantification for office buildings with occupant-centric controls in various climates Pang, Zhihong; Chen, Yan; Zhang, Jian Applied Energy, Vol. 279 https://doi.org/10.1016/j.apenergy.2020.115727	journal	December 2020
An empirical validation of modeling solar gain through a glazing unit with external and internal shading screens Loutzenhiser, P. G.; Manz, H.; Felsmann, C. Applied Thermal Engineering, Vol. 27, Issue 2-3 https://doi.org/10.1016/j.applthermaleng.2006.06.016	journal	February 2007
Analysis of the Effect of Artificial Lighting on Heating and Cooling Energy in Commercial Buildings Ahn, Byung-Lip; Jang, Cheol-Yong; Leigh, Seung-Bok Energy Procedia, Vol. 61 https://doi.org/10.1016/j.egypro.2014.11.997	journal	January 2014
Residential Building Retrofit through Numerical Simulation: A Case Study Cascio, Ermanno Lo; Ma, Zhenjun; Borelli, Davide Energy Procedia, Vol. 111 https://doi.org/10.1016/j.egypro.2017.03.011	journal	March 2017
Empirical validations of solar gain models for a glazing unit with exterior and interior blind assemblies Loutzenhiser, Peter G.; Manz, Heinrich; Carl, Stephan Energy and Buildings, Vol. 40, Issue 3 https://doi.org/10.1016/j.enbuild.2007.02.034	journal	January 2008
Development and validation of a new TRNSYS type for the simulation of external building walls containing PCM Kuznik, Frédéric; Virgone, Joseph; Johannes, Kevyn Energy and Buildings, Vol. 42, Issue 7 https://doi.org/10.1016/j.enbuild.2010.01.012	journal	July 2010
Validation of EnergyPlus thermal simulation of a double skin naturally and mechanically ventilated test cell Mateus, Nuno M.; Pinto, Armando; Graça, Guilherme Carrilho da Energy and Buildings, Vol. 75 https://doi.org/10.1016/j.enbuild.2014.02.043	journal	June 2014
Empirical and comparative validation of an original model to simulate the thermal behaviour of outdoor test cells Cattarin, G.; Pagliano, L.; Causone, F. Energy and Buildings, Vol. 158 https://doi.org/10.1016/j.enbuild.2017.11.058	journal	January 2018
Validation of dynamic building energy simulation tools based on a real test-box with thermally activated building systems (TABS) Nageler, P.; Schweiger, G.; Pichler, M. Energy and Buildings, Vol. 168 https://doi.org/10.1016/j.enbuild.2018.03.025	journal	June 2018
Empirical validation of a multizone building model coupled with an air flow network under complex realistic situations Eguía-Oller, Pablo; Martínez-Mariño, Sandra; Granada-Álvarez, Enrique Energy and Buildings, Vol. 249 https://doi.org/10.1016/j.enbuild.2021.111197	journal	October 2021
Evaluating the impact of data quality on the accuracy of the predicted energy performance for a fixed building design using probabilistic energy performance simulations and uncertainty analysis Ekström, Tomas; Burke, Stephen; Wiktorsson, Magnus Energy and Buildings, Vol. 249 https://doi.org/10.1016/j.enbuild.2021.111205	journal	October 2021
A review of methods to match building energy simulation models to measured data Coakley, Daniel; Raftery, Paul; Keane, Marcus Renewable and Sustainable Energy Reviews, Vol. 37 https://doi.org/10.1016/j.rser.2014.05.007	journal	September 2014
A review on time series forecasting techniques for building energy consumption Deb, Chirag; Zhang, Fan; Yang, Junjing Renewable and Sustainable Energy Reviews, Vol. 74 https://doi.org/10.1016/j.rser.2017.02.085	journal	July 2017
Simulation tools application for artificial lighting in buildings Baloch, Ashfaque Ahmed; Shaikh, Pervez Hameed; Shaikh, Faheemullah Renewable and Sustainable Energy Reviews, Vol. 82 https://doi.org/10.1016/j.rser.2017.10.035	journal	February 2018
Modeling techniques used in building HVAC control systems: A review Afroz, Zakia; Shafiullah, Gm; Urmee, Tania Renewable and Sustainable Energy Reviews, Vol. 83 https://doi.org/10.1016/j.rser.2017.10.044	journal	March 2018
Artificial intelligence-based fault detection and diagnosis methods for building energy systems: Advantages, challenges and the future Zhao, Yang; Li, Tingting; Zhang, Xuejun Renewable and Sustainable Energy Reviews, Vol. 109 https://doi.org/10.1016/j.rser.2019.04.021	journal	July 2019
The impact of thermophysical properties and hysteresis effects on the energy performance simulation of PCM wallboards: Experimental studies, modelling, and validation Buonomano, Annamaria; Guarino, Francesco Renewable and Sustainable Energy Reviews, Vol. 126 https://doi.org/10.1016/j.rser.2020.109807	journal	July 2020
Review of data-driven energy modelling techniques for building retrofit Deb, C.; Schlueter, A. Renewable and Sustainable Energy Reviews, Vol. 144 https://doi.org/10.1016/j.rser.2021.110990	journal	July 2021
Experimental validation of a solar system based on hybrid photovoltaic-thermal collectors and a reversible heat pump for the energy provision in non-residential buildings Herrando, M.; Coca-Ortegón, A.; Guedea, I. Renewable and Sustainable Energy Reviews, Vol. 178 https://doi.org/10.1016/j.rser.2023.113233	journal	May 2023
Annual heating energy requirements of office buildings in a European climate Moreci, Edoardo; Ciulla, Giuseppina; Lo Brano, Valerio Sustainable Cities and Society, Vol. 20 https://doi.org/10.1016/j.scs.2015.10.005	journal	January 2016
An Empirical Validation of Modeling Solar Gains Through a Glazing Unit Using Building Energy Simulation Programs Loutzenhiser, Peter; Manz, Heinrich; Strachan, Paul HVAC&R Research, Vol. 12, Issue 4 https://doi.org/10.1080/10789669.2006.10391453	journal	October 2006
Uncalibrated Building Energy Simulation Modeling Results Ahmad, Mushtaq; Culp, Charles HVAC&R Research, Vol. 12, Issue 4 https://doi.org/10.1080/10789669.2006.10391455	journal	October 2006
Modelica Buildings library Wetter, Michael; Zuo, Wangda; Nouidui, Thierry S. Journal of Building Performance Simulation, Vol. 7, Issue 4 https://doi.org/10.1080/19401493.2013.765506	journal	March 2013
Whole model empirical validation on a full-scale building Strachan, Paul; Svehla, Katalin; Heusler, Ingo Journal of Building Performance Simulation, Vol. 9, Issue 4 https://doi.org/10.1080/19401493.2015.1064480	journal	July 2015
Building Energy Performance Analysis: An Experimental Validation of an In-House Dynamic Simulation Tool through a Real Test Room Barone, Giovanni; Buonomano, Annamaria; Forzano, Cesare Energies, Vol. 12, Issue 21 https://doi.org/10.3390/en12214107	journal	October 2019

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