Abstract
Generally, HVAC simulation inputs can be obtained from the HVAC system performance data (e.g., performance map) provided by manufacturers, but these values are generated based on laboratory test data sets. Since laboratory test conditions may not reflect actual building conditions, HVAC input values generated using field data sets could be more representative of the target building and system. This study aims to develop and validate the cooling performance curves of EnergyPlus simulation model based on field data sets with real building operations. The cooling performance curves were developed, and they were validated with measured data. In addition, the effect of each cooling performance curve was discussed through a sensitivity test.
| Original language | English |
|---|---|
| Pages (from-to) | 1121-1128 |
| Number of pages | 8 |
| Journal | Building Simulation Conference Proceedings |
| Volume | 18 |
| DOIs | |
| State | Published - 2023 |
| Event | 18th IBPSA Conference on Building Simulation, BS 2023 - Shanghai, China Duration: Sep 4 2023 → Sep 6 2023 |
Funding
has been authored by UT-Battelle LLC under contract DEAC05-00OR22725 with DOE. The US government retains and the publisher, by accepting the article for publication, acknowledges that the US government retains a nonexclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this manuscript, or allow others to do so, for US government purposes. References AHRI. (2020). AHRI Standard 210/240: Performance Rating of Unitary Air-conditioning & Air-source Heat Pump Equipment. Air-Conditioning, Heating, and Refrigeration Institute. This material is based upon work supported by the US Department of Energy’s (DOE’s) Office of Science and Building Technologies Office (BTO). This research used resources of Oak Ridge National Laboratory’s Building Technologies Research and Integration Center, which is a DOE Office of Science User Facility. This work was funded by fieldwork proposal CEBT105 under BTO activities BT0302000 and BT0305000. This manuscript has been authored by UT-Battelle LLC under contract DEAC05-00OR22725 with DOE. The US government retains and the publisher, by accepting the article for publication, acknowledges that the US government retains a nonexclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this manuscript, or allow others to do so, for US government purposes. In the future, we will investigate with the other building energy simulation tools such as DOE-2 and TRNSYS whether the developed cooling performance curves are working correctly with them. We will pay particular attention to the cooling performance curves and equations required for each building energy simulation software since they are different across tools. Acknowledgement This material is based upon work supported by the US Department of Energy’s (DOE’s) Office of Science and Building Technologies Office (BTO). This research used resources of Oak Ridge National Laboratory’s Building Technologies Research and Integration Center, which is a DOE Office of Science User Facility. This work was funded by fieldwork proposal CEBT105 under BTO activities BT0302000 and BT0305000. This manuscript
