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CHAPTER 5

              Optimal design of heat

              exchangers


                             a
                                       b
              Wilfried Roetzel , Xing Luo , Dezhen Chen c
              a
              Institute of Thermodynamics, Helmut Schmidt University/University of the Federal Armed Forces Hamburg,
              Hamburg, Germany
              b
              Institute of Thermodynamics, Gottfried Wilhelm Leibniz University Hannover, Hannover, Germany
              c
              Institute of Thermal Energy and Environmental Engineering, Tongji University, Shanghai, China

              Generally speaking, the heat exchanger design is a design optimization prob-
              lem because it deals with many factors, parameters, and requirements. The
              heat exchanger design problem involves many variables for geometry and
              operating conditions; also, the heat exchanger should be designed for a vari-
              ety of applications with different objectives. In addition to the selection of
              surfaces on both sides, one also needs to consider a number of design criteria
              and constraints in heat exchanger design for a given application. Although
              the experiences will help us to make a suitable design, the methodologies for
              heat exchanger optimization for different applications and exchanger types
              are always expected.
                 Bergles et al. (1974) performed an evaluation of different objective func-
              tions for compact heat exchangers with different heat exchanger surfaces and
              improved heat exchanger performance by properly choosing the heat
              exchanger surfaces and adjusting two design parameters. Their method
              did not include any actual optimization technique, but their results did show
              that a great improvement in heat exchanger performance can be achieved.
              Fax and Mills (1957) develop a method using Lagrange multipliers to opti-
              mize a heat exchanger design under specified constraints. This Lagrange
              multiplier technique requires the objective function f(x) and the constraints
              that are differentiable throughout the range of interest and can be expressed
              in an explicit form. The total number of constraints is less than the total
              number of variables, and all constraints are equality constraints. The previous
              limitations would be strict with the use of this method to only a limited
              number of optimization problems. Thanks to the rapid developments in
              computer and computing techniques as well as a large number of software


              Design and Operation of Heat Exchangers and their Networks  © 2020 Elsevier Inc.
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