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International Journal of Refrigeration
Article . 2018 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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STACY–A mathematical modelling framework for steady-state simulation of absorption cycles

Authors: Aprile, Marcello; Toppi, Tommaso; Garone, Silvia; Motta, Mario;

STACY–A mathematical modelling framework for steady-state simulation of absorption cycles

Abstract

Abstract The steady-state mathematical modelling of advanced absorption cycles can be time-consuming and error-prone. In this work, a computer tool based on a modular approach and supported by a comprehensive methodology is described. The solver automatically eliminates redundant mass and species balance equations, detects the existence of paired interconnections, and identifies the nature of the missing auxiliary conditions. To illustrate the tool's capabilities, two advanced refrigeration cycles are modelled, double-lift and resorption. For each cycle, two different embodiments are discussed in consideration of the volatility of the absorbent. With reference to cooling applications driven by low temperature heat, the performance of three cycles are compared: NH3-LiNO3 double lift (DL1), NH3-H2O double lift (DL2), NH3-H2O resorption (R2). DL1 and DL2, despite their lower thermal COPc can achieve a maximum value of EER (about 7.7) only slightly lower than that achieved by R2 (about 7.9) with a much lower driving temperature.

Country
Italy
Related Organizations
Keywords

Modelling; Absorption; Heat pump; Absorption cycles; Simulation

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    Top 10%
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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!
9
Top 10%
Average
Top 10%