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  4. Statistical analysis of design variables in a chiller plant and their influence on energy consumption and life cycle cost
 
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Statistical analysis of design variables in a chiller plant and their influence on energy consumption and life cycle cost

Citation Link: https://doi.org/10.15480/882.4573
Publikationstyp
Journal Article
Date Issued
2022-08
Sprache
English
Author(s)
Díaz Torres, Yamile  
Gullo, Paride  
Hernández Herrera, Hernán  
Torres del Toro, Migdalia  
Álvarez Guerra, Mario A.  
Silva Ortega, Jorge Iván  
Speerforck, Arne  
Institut
Technische Thermodynamik M-21  
TORE-DOI
10.15480/882.4573
TORE-URI
http://hdl.handle.net/11420/13520
Journal
Sustainability  
Volume
14
Issue
16
Article Number
10175
Citation
Sustainability 14 (16): 10175 (2022-08)
Publisher DOI
10.3390/su141610175
Scopus ID
2-s2.0-85137690927
Publisher
Multidisciplinary Digital Publishing Institute
An appropriate design of a chiller plant is crucial to guarantee highly performing solutions. However, several design variables, such as type of systems, total cooling capacity, and hydraulic arrangement, need to be considered. On the one hand, at present, different technical criteria for selecting the most suitable design variables are available. Studies that corroborate the influence of the design variables over the operational variables are missing. In order to fill this knowledge gap, this work proposes a statistical analysis of design variables in chiller plants operating in medium- and large-scale applications and evaluates their influence on energy consumption and life cycle cost (LCC) under the same thermal demand conditions. A case study involving 138 chiller plant combinations featuring different arrangements and a Cuban hotel was selected. The results suggested that the total chiller design and cooling capacity distribution among chillers have a significant influence on the energy consumption of the chiller plant with a Spearman’s Rho and Kendall Tau (τ) correlation index value of −0.625 and 0.559, respectively. However, with LCC, only the cooling capacity distribution among the chillers had a certain influence with a Kendall Tau correlation index value of 0.289. As for the considered total cooling capacity, the applied statistical test showed that this design variable does not have any influence on performing the chiller plant.
Subjects
chiller
design variables
energy saving
life cycle cost
Pearson’s correlation
Spearman’s correlation
DDC Class
530: Physik
Funding Organisations
Study center of energy and environment
Cienfuegos Tourism
Publication version
publishedVersion
Lizenz
https://creativecommons.org/licenses/by/4.0/
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