Abstract
Recently, efforts have been made to provide reliable empirical data for ANSI/ASHRAE Standard 140, Standard Method of Test for the Evaluation of Building Energy Analysis Computer Programs, to enable improved accuracy of building energy model (BEM) engines and improved characterization of their accuracy. The motivation for this effort is that the use of reliable empirical validation data sets in the evaluation of building energy modeling tools will lead to more consistent and validated simulation engines across all software vendors. This would expedite the use of building energy modeling in designing new buildings and retrofitting existing buildings, which delivers more energy-efficient buildings. As part of a three-year multi-lab empirical validation project sponsored by U.S. DOE, this research project generated cooling season test plans by reviewing ASHRAE Standard 140, and the tests were performed based on the test plan. Finally, the experimental data sets were compared with the EnergyPlus model to demonstrate the validation procedure.
| Original language | English |
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| Title of host publication | 16th International Conference of the International Building Performance Simulation Association, Building Simulation 2019 |
| Editors | Vincenzo Corrado, Enrico Fabrizio, Andrea Gasparella, Francesco Patuzzi |
| Publisher | International Building Performance Simulation Association |
| Pages | 4515-4521 |
| Number of pages | 7 |
| ISBN (Electronic) | 9781713809418 |
| State | Published - 2019 |
| Event | 16th International Conference of the International Building Performance Simulation Association, Building Simulation 2019 - Rome, Italy Duration: Sep 2 2019 → Sep 4 2019 |
Publication series
| Name | Building Simulation Conference Proceedings |
|---|---|
| Volume | 7 |
| ISSN (Print) | 2522-2708 |
Conference
| Conference | 16th International Conference of the International Building Performance Simulation Association, Building Simulation 2019 |
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| Country/Territory | Italy |
| City | Rome |
| Period | 09/2/19 → 09/4/19 |
Funding
This material is based upon work supported by the U.S. Department of Energy, Office of Science, and Building Technologies Office. This research used resources of the Oak Ridge National Laboratory Building Technologies Research and Integration (BTRIC), which is a DOE Office of Science User Facility. This work was funded by fieldwork proposal CEBT105 under DOE Building Technology Office Activity Numbers BT0302000 and BT0305000. This manuscript has been authored by UT-Battelle, LLC, under Contract Number DEAC05-00OR22725 with DOE. The United States Government retains and the publisher, by accepting the article for publication, acknowledges that the United States Government retains a non-exclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this manuscript, or allow others to do so, for United States Government purposes.