Empirical Modeling of Direct Expansion (DX) Cooling System for Multiple Research Use Cases

Jaewan Joe, Piljae Im and Jin Dong
Additional contact information
Jaewan Joe: Department of Architectural Engineering, INHA University, Inha-ro 100, Nam-gu, Incheon 22212, Korea
Piljae Im: Oak Ridge National Laboratory, One Bethel Valley Road, Oak Ridge, TN 37831, USA
Jin Dong: Oak Ridge National Laboratory, One Bethel Valley Road, Oak Ridge, TN 37831, USA

Sustainability, 2020, vol. 12, issue 20, 1-17

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).

Keywords: roof top unit (RTU); model-based predictive control; fault diagnostics and detection; empirical validation (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
https://www.mdpi.com/2071-1050/12/20/8738/pdf (application/pdf)
https://www.mdpi.com/2071-1050/12/20/8738/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:12:y:2020:i:20:p:8738-:d:432568

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().