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This content will become publicly available on August 26, 2017

Title: Evaluation of “Autotune” calibration against manual calibration of building energy models

Our paper demonstrates the application of Autotune, a methodology aimed at automatically producing calibrated building energy models using measured data, in two case studies. In the first case, a building model is de-tuned by deliberately injecting faults into more than 60 parameters. This model was then calibrated using Autotune and its accuracy with respect to the original model was evaluated in terms of the industry-standard normalized mean bias error and coefficient of variation of root mean squared error metrics set forth in ASHRAE Guideline 14. In addition to whole-building energy consumption, outputs including lighting, plug load profiles, HVAC energy consumption, zone temperatures, and other variables were analyzed. In the second case, Autotune calibration is compared directly to experts’ manual calibration of an emulated-occupancy, full-size residential building with comparable calibration results in much less time. Lastly, our paper concludes with a discussion of the key strengths and weaknesses of auto-calibration approaches.
 [1] ;  [2] ;  [2] ;  [2] ;  [3] ;  [4]
  1. Indian Ins., of Technology, Roorkee (India). Dept. of Architecture and Planning
  2. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
  3. Univ. of Alabama, Tuscaloosa, AL (United States). Dept. of Mechanical Engineering
  4. International Inst. of Information Technology, Hyderabad (India)
Publication Date:
OSTI Identifier:
Grant/Contract Number:
Accepted Manuscript
Journal Name:
Applied Energy
Additional Journal Information:
Journal Volume: 182; Journal Issue: C; Journal ID: ISSN 0306-2619
Research Org:
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
Sponsoring Org:
USDOE - Office of Energy Efficiency and Renewable Energy (EERE)
Country of Publication:
United States
29 ENERGY PLANNING, POLICY, AND ECONOMY Autotune; Building energy modeling; Calibration; Energy efficient buildings; Automated calibration