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As an outcome of ASHRAE RP-1771, we have developed��building energy��models based on Commercial Buildings Energy Consumption Survey (CBECS) data to support the development of the ASHRAE building energy quotient (bEQ) standard. These building energy��models can be used as a starting point to reconcile the differences between the empirical and modeled baselines for energy performance comparison for new and existing commercial buildings, allowing seamless translation of building energy performance metrics among LEED, Standard 90.1, Standard 189.1, Standard 100, and the bEQ As Designed and In Operation ratings.��

These building energy��models are developed based on the 2003 CBECS data, which��include 18 commercial building types in two vintages (pre-1980 and post-1980) in 15 climate locations in the U.S. This results in an overall set of 540 total building energy models (EnergyPlus™ Version 9.0 for Supermarket; EnergyPlus™ Version 8.7 for the other building types).

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Current version (V2.0) was released on 3/11/2022. See release history for previous releases.

* This model is developed by referring��to the U.S. Department of Energy Commercial Reference Building Models.��

** This model is developed by referring��to the model developed by Oak Ridge National Laboratory.��

*Download weather file , which is provided by Climate.OneBuilding,��

Acknowledgment

These building energy��models are the outcome of the project "RP-1771, Energy Modeling of Typical Commercial Buildings in Support of ASHRAE Building Energy Quotient Energy Rating Program"��sponsored by the American Society of Heating, Refrigerating and Air-Conditioning Engineers (ASHRAE). The project website is��here.��

We appreciate the RP-1771 Project Monitoring Subcommittee members for their��comments and suggestions��during the model development:

• Chris Balbach, Performance Systems Development,��New York, USA
• Dru Crawley,��Bentley Systems, District of Columbia,��USA
• Michael Deru,��National Renewable Energy Laboratory, Colorado, USA
• Charles Eley,��USA
• Daniel Nall,��Syska Hennessy Group, New Jersey, USA
• Terry Sharp,��Oak Ridge National Laboratory,��Tennessee, USA

The following people have directly contributed to the model creation:

• Yingli Lou, ��ƷSM����ӰƬ, Colorado, USA
• Matthew Strong,����ƷSM����ӰƬ, Colorado, USA
• Satish Upadhyaya,����ƷSM����ӰƬ, Colorado, USA
• Gang Wang, University of Miami, Florida, USA
• Yunyang Ye, ��ƷSM����ӰƬ, Colorado, USA
• Yizhi Yang, ��ƷSM����ӰƬ, Colorado, USA
• Wangda Zuo, ��ƷSM����ӰƬ, Colorado, USA

Disclaimer

This material is based upon work supported by the American Society of Heating, Refrigerating and Air-Conditioning Engineers (ASHRAE) under the Research Project RP-1771. Neither��ASHRAE, nor any of its employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights. Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise does not necessarily constitute or imply its endorsement, recommendation, or favoring by��ASHRAE��thereof. The views and opinions of authors expressed herein do not necessarily state or reflect those of��ASHRAE��thereof.

Related Publications:

[1] Y. Ye, G. Wang, W. Zuo 2018. “.” Proceedings of the 4th International Conference on Building Energy and Environment (COBEE2018), pp. 373-378, February 5-9, Melbourne, Australia.

[2] Y. Ye, K. Hinkelman, J. Zhang, W. Zuo, G. Wang 2019. “.” Energy and Buildings, 194, pp. 351-365.

[3] Y. Ye, G. Wang, W. Zuo, P. Yang, K. Joshi 2018. “” 2018 ASHRAE Building Performance Analysis Conference and SimBuild (BPACS 2018), pp. 573-580, September 26-28, Chicago, IL.

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