An entropy generation and genetic algorithm optimization of two-bed adsorption cooling cycle

Abstract

This article presents the performance analysis of adsorption cooling, shortly AD, system using a thermodynamic framework with an entropy generation analysis. The model captures the transient and the cyclic steady-state performances of the adsorption–desorption cycles operating under assorted heat source temperatures. Type-RD silica gel, with a pore surface area of 720 m²/g and diameters 0.4–0.7 mm, is used as an adsorbent and its high affinity for thewater vapour adsorbate gives a high equilibrium uptake. The key advantages of the AD are (a) it has no moving parts rendering less maintenance and (b) the energy efficient means of cooling by the adsorption process with a low-temperature heat source and (c) it is environmental friendly with low carbon footprint. By incorporating the genetic algorithm onto the entropy minimization technique, it is possible to locate the optimal system performance point or the global minima with respect to entropy generation using the system parameters such as coolant and heat source water temperatures, heat transfer areas, etc. The system analysis shows that the minimization of entropy generation in the AD cycle leads to the maximization of the coefficient of performance and this translates into a higher delivery of useful cooling effects at the particular input resource temperature.

Keywords

adsorption cooling entropy generation minimization silica gel waste heat recovery genetic algorithm

Get full access to this article

View all access options for this article.

References

Dehler

F. C.

Silica gel adsorption. Chem. Metall. Eng, 1940, 37, 307–310.

Boelman

Saha

B. B.

Kashiwagi

Experimental investigation of a silica gel–water adsorption refrigeration cycle-the influence of operation conditions on cooling output and COP. ASHRAE Trans, 1995, 101(2), 358–366.

Chua

H. T.

K. C.

Chakraborty

N. M.

Othman

M. A.

Adsorption characteristic of silica gel+water systems. J. Chem. Eng. Data, 2002, 47(5), 1177–1181.

Sivanandam

S. N.

Deepa

S. N.

Introduction to genetic algorithms, 2008 (Heidelberg, Berlin, Springer-Verlag).

Haupt

R. L.

Haupt

S. E.

Practical genetic algorithms, 2nd edn, 2004 (New York, NY, A. John Wiley & sons), 255–255.

Toth

State equations of the solid-gas interface layers. Acta Chim. Acad. Sci. Hung, 1971, 69, 311–328.

Chihara

Suzuki

Air drying by pressure swing adsorption. J. Chem. Eng. Jpn, 1983, 16, 293–298.

Thu

K. C.

Saha

B. B.

Chakraborty

Overall of heat transfer analyses of a waste heat driven adsorption chiller. Proceedings of the 2010 International Symposium on Next-generation air conditioning and refrigeration technology, 2010, Tokyo, Japan. February 17–19.

K. C.

Chakraborty

Aye

S. M.

Xiaolin

New pool boiling data for water with copper foam metal at sub-atmospheric pressure: Experiments and correlation. Appl. Therm. Eng, 2006, 26, 1286–1290.

10.

Haar

NBS/NRC steam tables: Thermodynamic and transport properties and computer programs for vapor and liquid states of water in SI units, 1984 (New York, NY, Hemisphere).