In this paper, A single-bed finned tube adsorption refrigeration system model
was established to compare the adsorption characteristics of three metal
organic framework materials(MIL-101(Cr), MIL-101(Cr)/CaCl2-10%, MIL-101(Cr)/
CaCl2-20%).The change of material properties under different
thickness/length/number of fins was characterized, and the most suitable
adsorption bed structure for different materials was obtained.Theresults
show that the number of fins haslittle effect on the Coefficiency of
Performanceand Specific cooling powerof the material in the system. Choosing
thinner fins can improve the performance coefficient of the system.With the
increase of fin height, the Coefficiency of Performanceshowed a trend of
increasingfirstand then decreasing. The three materials (MIL-101(Cr),
MIL-101(Cr)/CaCl2-10%, MIL-101(Cr)/CaCl2-20%) obtained the highest
Coefficiency of Performancewhen the fin heights were 50mm, 60mm, and 70mm,
respectively. The maximum Specific cooling powerwas obtained when the fin
heights were 20mm, 60mm, and 70mm, which were 21.7W/kg, 90.1W/kg, and
174.5W/kg, respectively. The height of the fin has a great influence on the
performance of the system. When designing the adsorption bed, the appropriate
fin height should be selected for the specific adsorbent.
The present study proposes a novel optimization strategy (NOS) for quasi-steady algorithms to optimize the initial error in the fast calculation of conjugate heat transfer (CHT) simulations. In this approach, the change in Nusselt number at the fluid–solid coupling interface is dynamically monitored, and the update of the flow field is turned off according to a given Nusselt variation standard to speed up the solution of the transient temperature field. The NOS has been applied to problems of convective heat transfer in solid parts with internal heat sources. The feasibility of NOS is first verified by using an undisturbed boundary example, and the results show that the optimization strategy reduces the initial error by 92.3% compared with the quasi-steady algorithm, and the calculation time is reduced by 50% compared with the traditional coupling algorithm. The NOS is then combined with the quasi-steady algorithm, and boundary transient disturbances are added to the case. The results indicate that the computational time for NOS and the quasi-steady algorithm is 2.6 and 2.9 times greater than that of traditional algorithms. Nevertheless, NOS significantly optimizes the relative error of the quasi-steady algorithm by 97.3% during the initial computation phase.
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