Sponsored by American Society of Heating, Refrigerating and Air-Conditioning Engineers (ASHRAE)
The objective of this research is 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. This research is to:
- Evaluate and characterize the variability of EUI with building characteristics for standard building types using both statistical analysis of CBECS data and parametric variation of prototype energy models.
- Develop a set of modeling assumptions and correction procedures that provide consistent baselines for energy performance metrics for new and existing commercial buildings based on measured EUI of existing buildings.
- Validate the modeling assumptions and correction procedures by demonstrating that energy models of buildings with average construction characteristics predict median energy performance.
- Using the methods developed above, develop a procedure to relate the EUI of an ASHRAE Standard 90.1-2004 compliant building to the median EUI of existing buildings of the same type and in the same climate.
Collaborators
University of Miami
Open Source Release
During the project, we have develop new prototype building energy models based on the CBECS data. Those models have been open source released at Building Energy Models for Commercial Buildings Based on CBECS Data
Press Release
Publications
Ph.D. Thesis:
- Y. Ye 2019. "Standardized Computational Framework for Prototypical Building Energy Model Creation and Building Energy Analyses." Department of Civil, Environmental, and Architectural Engineering, University of Colorado Boulder.
Journal Articles
- Y., Ye, K. Hinkelman, Y. Lou, W. Zuo, G. Wang, G., J. Zhang 2021. "Evaluating the Energy Impact Potential of Energy Efficiency Measures for Retrofit Applications: A Case Study with US Medium Office Buildings." Building Simulation, pp. 1-17.
- Y. Ye, Y. Lou, W. Zuo, E. Franconi, G. Wang 2020. "How Do Electricity Pricing Programs Impact the Selection of Energy Efficiency Measures? - A Case Study with U.S. Medium Office Buildings." Energy and Buildings, 224, pp. 110267.
- Y. Ye, Y. Lou, M. Strong, S. Upadhyaya, W. Zuo, G. Wang 2020. "Development of New Baseline Models for U.S. Medium Office Buildings Based on Commercial Buildings Energy Consumption Survey Data." Science and Technology for the Built Environment, 26 (9), pp. 1321-1336.
- Y. Ye, K. Hinkelman, J. Zhang, W. Zuo, G. Wang 2019. “A Methodology to Create Prototypical Building Energy Models for Existing Buildings: A Case Study on U.S. Religious Worship Buildings.” Energy and Buildings, 194, pp. 351-365.
- Y. Ye, W. Zuo, G. Wang 2019. “A Comprehensive Review of Energy-Related Data for U.S. Commercial Buildings.” Energy and Buildings, 186, pp. 126-137.
Conference Proceedings
- Y. Ye, K. Hinkelman, J. Zhang, Y. Xie, W. Zuo 2019. “A Methodology to Quantify the Impact of Building Energy Code Upgrades on Building Energy Savings: A Case Study on Small Offices.” Proceeding of the 16th Conference of International Building Performance Simulation Association (Building Simulation 2019), September 2-4, Rome, Italy.
- Y. Ye, K. Hinkelman, W. Zuo, G. Wang 2019. “ASHRAE TRP-1771: Methodology to Evaluate Sensitive Levels of Inputs for US Commercial Building Models.” ASHRAE 2019 Annual Conference, June 22-26, Kansas City, MO.
- Y. Ye, G. Wang, W. Zuo, P. Yang, K. Joshi 2018. “Development of a Baseline Building Model of Auto Service and Repair Shop.” 2018 ASHRAE Building Performance Analysis Conference and SimBuild (BPACS 2018), pp. 573-580, September 26-28, Chicago, IL.
- Y. Ye, G. Wang, W. Zuo 2018. “Creation of a Prototype Building Model of College and University Building.” Proceedings of the 4th International Conference on Building Energy and Environment (COBEE2018), pp. 373-378, February 5-9, Melbourne, Australia.