Please use this identifier to cite or link to this item: https://doi.org/10.15480/882.4573
Publisher DOI: 10.3390/su141610175
Title: Statistical analysis of design variables in a chiller plant and their influence on energy consumption and life cycle cost
Language: English
Authors: Díaz Torres, Yamile 
Gullo, Paride 
Hernández Herrera, Hernán 
Torres del Toro, Migdalia 
Álvarez Guerra, Mario A. 
Silva Ortega, Jorge Iván 
Speerforck, Arne 
Keywords: chiller; design variables; energy saving; life cycle cost; Pearson’s correlation; Spearman’s correlation
Issue Date: Aug-2022
Publisher: Multidisciplinary Digital Publishing Institute
Source: Sustainability 14 (16): 10175 (2022-08)
Abstract (english): 
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.
URI: http://hdl.handle.net/11420/13520
DOI: 10.15480/882.4573
ISSN: 2071-1050
Journal: Sustainability 
Other Identifiers: doi: 10.3390/su141610175
Institute: Technische Thermodynamik M-21 
Document Type: Article
Funded by: Study center of energy and environment
Cienfuegos Tourism
License: CC BY 4.0 (Attribution) CC BY 4.0 (Attribution)
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