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Heat Transfer Research

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ISSN Druckformat: 1064-2285

ISSN Online: 2162-6561

The Impact Factor measures the average number of citations received in a particular year by papers published in the journal during the two preceding years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) IF: 1.7 To calculate the five year Impact Factor, citations are counted in 2017 to the previous five years and divided by the source items published in the previous five years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) 5-Year IF: 1.4 The Immediacy Index is the average number of times an article is cited in the year it is published. The journal Immediacy Index indicates how quickly articles in a journal are cited. Immediacy Index: 0.6 The Eigenfactor score, developed by Jevin West and Carl Bergstrom at the University of Washington, is a rating of the total importance of a scientific journal. Journals are rated according to the number of incoming citations, with citations from highly ranked journals weighted to make a larger contribution to the eigenfactor than those from poorly ranked journals. Eigenfactor: 0.00072 The Journal Citation Indicator (JCI) is a single measurement of the field-normalized citation impact of journals in the Web of Science Core Collection across disciplines. The key words here are that the metric is normalized and cross-disciplinary. JCI: 0.43 SJR: 0.318 SNIP: 0.568 CiteScore™:: 3.5 H-Index: 28

Indexed in

INFLUENCE OF VARIABLE THERMAL CONDUCTIVITY AND PERMEABILITY OF ADSORBENTS ON SIMULATION: A CASE STUDY OF A TWO-STAGE FREEZING SYSTEM

Volumen 46, Ausgabe 2, 2015, pp. 141-157
DOI: 10.1615/HeatTransRes.2014007502
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ABSTRAKT

In the conventional simulation of the adsorption refrigeration performance, the constant thermal conductivity and permeability were always chosen for the construction of a mathematical model. Recent research works showed that the thermal conductivity and permeability change significantly in the adsorption and desorption processes, which means that the consequent adsorption refrigeration performance will also be influenced. In order to evaluate the influence of the variable thermal conductivity and permeability of adsorbents on the performance of adsorption refrigeration system, the variable thermal conductivity and permeability in the adsorption processes were tested for CaCl2 and BaCl2, and the two-stage adsorption refrigeration system was simulated using CaCl2 -BaCl2 -NH3 as a working pair. The simulation results for the variable thermal conductivity and permeability were compared with those for the constant thermal conductivity and permeability, as well as with experimental results. The research showed that the maximum relative error between the simulation result with variable properties and the experimental result was 9.1% for SCP, 8.3% for cooling capacity, and 12% for COP, respectively, while the maximum relative error between the simulation results with constant properties and experimental results was as high as 42.8% for SCP, 41.4% for cooling capacity, and 36% for COP, respectively. The foregoing demonstrates that the variable properties influence significantly the simulation results, and should be investigated in the first place before constructing mathematical models for chemical adsorption refrigeration systems.

REFERENZIERT VON
  1. Lepeshkin A. R., Technique of studying thermal diffusivity of metallics in different directions in a field of centrifugal accelerations and forces, Journal of Engineering Thermophysics, 26, 1, 2017. Crossref

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