Abstract
With increased use of variable refrigerant flow (VRF) systems in the U.S. building sector, there have been gaining interests in capability and rationality of various building energy modeling tools to simulate VRF systems. This paper presents modeling and calibration of a VRF system with a dedicated outdoor air system (DOAS) by comparing to the measured data from a real building and system. Modeling and calibration of a VRF-DOAS model were performed using the whole-building simulation, U.S. DOE's EnergyPlus version 8.1, with the measured data collected from an occupancy emulated research building, Flexible Research Platform (FRP), at Oak Ridge National Laboratory (ORNL). The initial building model was built, and the original EnergyPlus code was modified to model a specific DOAS installed in the FRP. The VRFDOAS model can reasonably predict the performance of the actual VRF-DOAS system based on the criteria from ASHRAE Guideline 14-2014. The calibration results show that hourly CV-RMSE and NMBE would be 15.7% and 3.8%, respectively, which is deemed to be calibrated.
| Original language | English |
|---|---|
| Title of host publication | 15th International Conference of the International Building Performance Simulation Association, Building Simulation 2017 |
| Editors | Charles S. Barnaby, Michael Wetter |
| Publisher | International Building Performance Simulation Association |
| Pages | 2542-2548 |
| Number of pages | 7 |
| ISBN (Electronic) | 9781510870673 |
| DOIs | |
| State | Published - 2017 |
| Event | 15th International Conference of the International Building Performance Simulation Association, Building Simulation 2017 - San Francisco, United States Duration: Aug 7 2017 → Aug 9 2017 |
Publication series
| Name | Building Simulation Conference Proceedings |
|---|---|
| Volume | 5 |
| ISSN (Print) | 2522-2708 |
Conference
| Conference | 15th International Conference of the International Building Performance Simulation Association, Building Simulation 2017 |
|---|---|
| Country/Territory | United States |
| City | San Francisco |
| Period | 08/7/17 → 08/9/17 |
Funding
This manuscript has been authored by UT-Battelle, LLC under Contract No. DE-AC05-00OR22725 with the U.S. Department of Energy. The United States Government retains and the publisher, by accepting the article for publication, acknowledges that the United States Government retains a nonexclusive, paid-up, irrevocable, world-wide license to publish or reproduce the published form of this manuscript, or allow others to do so, for United States Government purposes. The Department of Energy will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (http://energy.gov/downloads/doe-public-access-plan). This effort was supported by Samsung Electronics and U.S. Department of Energy. Neither the United States Government nor any agency thereof, nor any of their 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 the United States Government or any agency thereof. The views and opinions of authors expressed herein do not necessarily state or reflect those of the United States Government or any agency thereof.