2018
DOI: 10.1016/j.applthermaleng.2018.09.032
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Investigation of parameters affecting Organic Rankine Cycle efficiency by using Taguchi and ANOVA methods

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Cited by 65 publications
(19 citation statements)
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“…For a given level of significance α, F a can be obtained from the F distribution table; if F f > F α , the effect of this factor is significant [40][41][42].…”
Section: Analysis Methodsmentioning
confidence: 99%
“…For a given level of significance α, F a can be obtained from the F distribution table; if F f > F α , the effect of this factor is significant [40][41][42].…”
Section: Analysis Methodsmentioning
confidence: 99%
“…[ 1 ] Bademlioglu et al provide a statistical analysis on system efficiency, using the Taguchi method. [ 28 ] In an ORC system, the main parameters affecting the design are choice of the working fluid, pinch point, superheating temperature, evaporator and condenser temperature, heat exchanger effectiveness, pump and turbine efficiency, installation, and running costs.…”
Section: Current Technologiesmentioning
confidence: 99%
“…The ANOVA was applied to evaluate the importance of each factor. The ANOVA aims to estimate the seriousness of the goal variation caused by the variation of each factor, as observed from the results [28][29][30]. Three factors were analyzed by ANOVA to determine the influence of each factor on the experimental results.…”
Section: Analysis Of Variance (Anova)mentioning
confidence: 99%