Cost-Optimal Design of Dry Cooling Towers Through Mathematical Programming Techniques

[+] Author and Article Information
J. D. Buys

Department of Mathematics, University of Stellenbosch, Stellenbosch, South Africa

D. G. Kröger

Department of Mechanical Engineering, University of Stellenbosch, Stellenbosch, South Africa

J. Heat Transfer 111(2), 322-327 (May 01, 1989) (6 pages) doi:10.1115/1.3250680 History: Received March 02, 1988; Online October 20, 2009


The Constrained Variable Metric Algorithm is chosen to minimize the objective function (cost) in the design of a natural draft dry cooling tower. An existing cooling system design that has specific performance characteristics under prescribed operating conditions is selected as a reference unit. By changing design variables, but not exceeding prescribed constraints, a more cost-effective design is achieved. The influence of various parameters, and the sensitivity of the objective function to these parameters, are evaluated.

Copyright © 1989 by ASME
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