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Treffer: Simplifying manufacturers' data in unitary HVAC equipment through a DX cooling coil modeling

Title:
Simplifying manufacturers' data in unitary HVAC equipment through a DX cooling coil modeling
Authors:
HUOJUN YANG, ZHAOFENG XU, RUIBIN XIONG, HAORONG LI, ZHANG, Tian C, XIAOYU LIU, WORADECHJUMROEN, Denchai
Source:
Energy and buildings. 74:152-162
Publisher Information:
Oxford: Elsevier, 2014.
Publication Year:
2014
Physical Description:
print, 19 ref
Original Material:
INIST-CNRS
Subject Terms:
Energy, Énergie, Civil engineering, Génie civil, Sciences exactes et technologie, Exact sciences and technology, Sciences appliquees, Applied sciences, Batiment. Travaux publics, Buildings. Public works, Calcul des constructions. Sollicitations, Structural analysis. Stresses, Méthodes de calcul. Tables. Abaques, Computation methods. Tables. Charts, Bâtiment, Buildings, Equipements techniques des bâtiments, Building technical equipments, Génie climatique, Environmental engineering, Gestion et conservation de l'énergie dans le bâtiment, Energy management and energy conservation in building, Analyse donnée, Data analysis, Análisis datos, Bâtiment intelligent, Intelligent building, Edificio inteligente, Circuit refroidissement, Cooling circuit, Circuito renfriamiento, Diagnostic panne, Fault diagnostic, Diagnóstico pana, Détection défaut, Defect detection, Detección imperfección, Equipement bâtiment, Building equipment, Equipo edificio, Fabricant, Manufacturer, Fabricante, Génie climatique, Climatic engineering, Ingeniería climática, Implémentation, Implementation, Implementación, Modélisation, Modeling, Modelización, Performance, Rendimiento, Système intelligent, Intelligent system, Sistema inteligente, Validation, Validación, Chauffage ventilation et conditionnement d'air, Heating ventilation and air conditioning, Calefacción, ventilación y aire acondicionado, Cooling coil, Fault detection and diagnosis, HVAC equipment, Intelligent buildings, Manufacturer's data, Smart systems
Document Type:
Fachzeitschrift Article
File Description:
text
Language:
English
Author Affiliations:
Ningbo Polytechnic, 1609 Xinda Road, Ningbo, Zhejiang, 315800, China
Tsinghua-BP Clean Energy Center, State Key Lab of Power Systems, Department of Thermal Engineering, Tsinghua University, Beijing 100084, China
Architectural Engineering Department, University of Nebraska-Lincoln, 1110 S 67th Street, Omaha, NE 68182, United States
Civil Engineering Department, University of Nebraska-Lincoln, 1110 S 67th Street, Omaha, NE 68182, United States
ISSN:
0378-7788
Access URL:
http://pascal-francis.inist.fr/vibad/index.php?action=search&terms=28388360
Rights:
Copyright 2015 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Building. Public works. Transport. Civil engineering
Accession Number:
edscal.28388360
Database:
PASCAL Archive

Weitere Informationen

This paper studies the current practice of manufacturers' data in unitary HVAC equipment in terms of data structure, simplification, and approximation. Both an improved DX cooling coil modeling in split systems and a self-validation validation by manufacturers' data are used in this study. It shows that the current approximations of dependent variables with their independent variables in manufacturers' data cause an unacceptable level of error, while all dependent variable estimation functions have valid partial derivatives with respect to outside air temperature (OAT). Therefore, a generic equation about the total cooling capacity difference between the base OAT (35 °C) and any other OAT is developed to accurately simplify a manufacturer's data, and accordingly a simplified table of this manufacturer's data is also presented here. However, the non-additivity of sensible heat ratio (SHR) requires another method to accurately simplify SHR with its independent variables. These accurate simplifications and approximations allow manufacturers to post less performance data, facilitate calculations for manufacturer's data-based models, and validate data from field or laboratory experiments.