2022
DOI: 10.3390/su141610175
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Statistical Analysis of Design Variables in a Chiller Plant and Their Influence on Energy Consumption and Life Cycle Cost

Abstract: 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 … Show more

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Cited by 4 publications
(1 citation statement)
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“…Indeed, operating conditions of a real system depend on controlled variables in previous time points and their set points. Torres et al [9] performed statistical analyses to ascertain the correlation of the total energy consumption and life-cycle cost with system parameters in terms of the number of chillers, the total capacity installed and load distribution among chillers. Yet, the full variable speed control for chillers, pumps and cooling towers was not considered.…”
Section: Reference Research Problem Variables Optimized Optimization ...mentioning
confidence: 99%
“…Indeed, operating conditions of a real system depend on controlled variables in previous time points and their set points. Torres et al [9] performed statistical analyses to ascertain the correlation of the total energy consumption and life-cycle cost with system parameters in terms of the number of chillers, the total capacity installed and load distribution among chillers. Yet, the full variable speed control for chillers, pumps and cooling towers was not considered.…”
Section: Reference Research Problem Variables Optimized Optimization ...mentioning
confidence: 99%