Building Energy Models for Commercial Buildings Based on CBECS Data

As an outcome of ASHRAE RP-1771, we have developedbuilding energymodels based on Commercial Buildings Energy Consumption Survey (CBECS) data to support the development of the ASHRAE building energy quotient (bEQ) standard. These building energymodels 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 energymodels are developed based on the 2003 CBECS data, whichinclude 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.
No. | Building Type | V2.0 |
---|---|---|
1 | Large Office* | |
2 | Medium Office* | |
3 | Small Office* | |
4 | Non-refrigerated Warehouse* | |
5 | Standalone Retail* | |
6 | Strip Mall* | |
7 | Primary School* | |
8 | Secondary School* | |
9 | College/University [1] | |
10 | Quick Service Restaurant* | |
11 | Full Service Restaurant* | |
12 | Hospital* | |
13 | Outpatient Health Care* | |
14 | Motel or Inn* | |
15 | Hotel* | |
16 | Religious Worship [2] | |
17 | Supermarket** | |
18 | Auto Repair Service [3] | |
19 | All Building Types |
* This model is developed by referringto the U.S. Department of Energy Commercial Reference Building Models.
** This model is developed by referringto the model developed by Oak Ridge National Laboratory.
Thermal Zone | Climate | Representative City |
---|---|---|
1A | Very Hot Humid | Miami, Florida |
2A | Hot Humid | Houston, Texas |
2B | Hot Dry | Phoenix, Arizona |
3A | Warm Humid | Atlanta, Georgia |
3B | Warm Dry | El Paso, Texas |
3C | Warm Marine | San Francisco, California |
4A | Mixed Humid | Baltimore, Maryland |
4B | Mixed Dry | Albuquerque, New Mexico |
4C | Mixed Marine | Seattle, Washington |
5A | Cool Humid | Chicago, Illinois |
5B | Cool Dry | Denver, Colorado |
6A | Cold Humid | Burlington, Vermont |
6B | Cold Dry | Helena, Montana |
7 | Very Cold | Duluth, Minnesota |
8 | Subarctic/Arctic | Fairbanks, Alaska |
*Download weather file , which is provided by Climate.OneBuilding,
Acknowledgment
These building energymodels 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 ishere.
We appreciate the RP-1771 Project Monitoring Subcommittee members for theircomments and suggestionsduring 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, 鶹ӰԺ, Colorado, USA
- Matthew Strong,鶹ӰԺ, Colorado, USA
- Satish Upadhyaya,鶹ӰԺ, Colorado, USA
- Gang Wang, University of Miami, Florida, USA
- Yunyang Ye, 鶹ӰԺ, Colorado, USA
- Yizhi Yang, 鶹ӰԺ, Colorado, USA
- Wangda Zuo, 鶹ӰԺ, 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. NeitherASHRAE, 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 byASHRAEthereof. The views and opinions of authors expressed herein do not necessarily state or reflect those ofASHRAEthereof.
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.