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Entropy 2017, 19(2), 69;

Two Thermoeconomic Diagnosis Methods Applied to Representative Operating Data of a Commercial Transcritical Refrigeration Plant

Department of Mechanical Engineering, Technical University of Denmark, 2800 Kongens Lyngby, Denmark
Current address: Marorka, 105 Reykjavik, Iceland
Author to whom correspondence should be addressed.
Academic Editor: Vittorio Verda
Received: 20 December 2016 / Revised: 1 February 2017 / Accepted: 8 February 2017 / Published: 15 February 2017
(This article belongs to the Special Issue Thermoeconomics for Energy Efficiency)
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In order to investigate options for improving the maintenance protocol of commercial refrigeration plants, two thermoeconomic diagnosis methods were evaluated on a state-of-the-art refrigeration plant. A common relative indicator was proposed for the two methods in order to directly compare the quality of malfunction identification. Both methods were applicable to locate and categorise the malfunctions when using steady state data without measurement uncertainties. By introduction of measurement uncertainty, the categorisation of malfunctions became increasingly difficult, though depending on the magnitude of the uncertainties. Two different uncertainty scenarios were evaluated, as the use of repeated measurements yields a lower magnitude of uncertainty. The two methods show similar performance in the presented study for both of the considered measurement uncertainty scenarios. However, only in the low measurement uncertainty scenario, both methods are applicable to locate the causes of the malfunctions. For both the scenarios an outlier limit was found, which determines if it was possible to reject a high relative indicator based on measurement uncertainty. For high uncertainties, the threshold value of the relative indicator was 35, whereas for low uncertainties one of the methods resulted in a threshold at 8. Additionally, the contribution of different measuring instruments to the relative indicator in two central components was analysed. It shows that the contribution was component dependent. View Full-Text
Keywords: refrigeration; exergy; thermoeconomic diagnosis; measurement uncertainty refrigeration; exergy; thermoeconomic diagnosis; measurement uncertainty

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Ommen, T.; Sigthorsson, O.; Elmegaard, B. Two Thermoeconomic Diagnosis Methods Applied to Representative Operating Data of a Commercial Transcritical Refrigeration Plant. Entropy 2017, 19, 69.

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