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https://doi.org/10.1115/imece2...
Conference object . 2002 . Peer-reviewed
Data sources: Crossref
Journal of Energy Resources Technology
Article . 2005 . Peer-reviewed
Data sources: Crossref
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Thermoeconomic Diagnosis: Zooming Strategy Applied to Highly Complex Energy Systems — Part 2: On the Choice of the Productive Structure

Authors: VERDA, Vittorio; SERRA L; VALERO A.;

Thermoeconomic Diagnosis: Zooming Strategy Applied to Highly Complex Energy Systems — Part 2: On the Choice of the Productive Structure

Abstract

The thermoeconomic diagnosis strategy introduced in the accompanying paper (part 1 [1]) is a zooming technique consisting of a successive localization of anomalies. At each step the required productive structure to be adopted becomes even more detailed, focusing the analysis on a more specific part of the system. The detail of a productive structure has two different levels: the number of components and the number of productive flows. The first one is selected according to the precision desired in locating the anomalies. A larger number of components (or subsystems) allows one to locate the anomalies in smaller control volumes, providing more precise indications for maintenance. The number of flows is partially dependent on the number of components. Once the number of components is fixed, the productive flows can be increased by separating exergy into its components or introducing fictitious flows, such as negentropy (see for example [2]). This decision also affects the results of the thermoeconomic analysis when it is adopted for diagnosis purposes. In this paper, the effects of the productive structure on the diagnosis results are carefully analyzed. Depending on the selected productive structure, the accuracy of the diagnosis results can be significantly improved.

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Italy
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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
18
Top 10%
Top 10%
Average