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Supercritical CO2 Power Cycle model in TESPy

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 12 May 2021 English Publisher:Zenodo
Authors: Witte, Francesco; Meier, Julius; Tuschy, Ilja; Hofmann, Mathias;

doi: 10.5281/zenodo.5101439 , 10.5281/zenodo.4769084 , 10.5281/zenodo.6550531 , 10.5281/zenodo.5855839 , 10.5281/zenodo.4751796 , 10.5281/zenodo.4751797

Supercritical CO2 Power Cycle model in TESPy

Abstract

This is an example for the implementation of a generic exergy analysis in TESPy. The TESPy model is based on data provided in literature. For more information please refer to the README and the TESPy online documentation.

Related Organizations
Keywords

Exergy Analysis, TESPy, Supercritical CO2 Power Cycle

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selected citations
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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).
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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.
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!
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