Empirical modeling of direct expansion (Dx) cooling system for multiple research use cases

Jaewan Joe; Piljae Im; Jin Dong

doi:10.3390/su12208738

Empirical modeling of direct expansion (Dx) cooling system for multiple research use cases

Jaewan Joe, Piljae Im, Jin Dong

Research output: Contribution to journal › Article › peer-review

8 Scopus citations

Abstract

This study provides a general procedure to generate a direct expansion (DX) cooling coil system for a roof top unit (RTU), which is a typical heating ventilation and air-conditioning (HVAC) system for commercial buildings in the United States. Experimental data from a full-scale unoccupied 2-story commercial building is used for the HVAC modeling. The regression for identifying the model coefficients was carried out with multiple stages, and the results were validated with measured data. The model’s applicability was evaluated with multiple case studies, including a building energy simulation (BES) program validation, model-based predictive control (MPC), and fault diagnostics and detection (FDD).

Original language	English
Article number	8738
Pages (from-to)	1-17
Number of pages	17
Journal	Sustainability (Switzerland)
Volume	12
Issue number	20
DOIs	https://doi.org/10.3390/su12208738
State	Published - Oct 2 2020

Funding

Funding: This material is based upon work supported by DOE’s Office of Science and BTO. This research used resources of ORNL’s Building Technologies Research and Integration (BTRIC), which is a DOE Office of Science User Facility. This work was supported by INHA UNIVERSITY Research Grant. Acknowledgments: 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 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. 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).

Funders	Funder number
U.S. Department of Energy
Office of Science
Building Technologies Office
Inha University

Keywords

Empirical validation
Fault diagnostics and detection
Model-based predictive control
Roof top unit (RTU)

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abstract = "This study provides a general procedure to generate a direct expansion (DX) cooling coil system for a roof top unit (RTU), which is a typical heating ventilation and air-conditioning (HVAC) system for commercial buildings in the United States. Experimental data from a full-scale unoccupied 2-story commercial building is used for the HVAC modeling. The regression for identifying the model coefficients was carried out with multiple stages, and the results were validated with measured data. The model{\textquoteright}s applicability was evaluated with multiple case studies, including a building energy simulation (BES) program validation, model-based predictive control (MPC), and fault diagnostics and detection (FDD).",

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Empirical modeling of direct expansion (Dx) cooling system for multiple research use cases

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