Abstract
Heat transfer enhancement (HTE) is an efficient technology to improve the performance of shell and tube heat exchangers (STHEs). However, even though there are widely accepted commercial software packages being used in heat exchanger design combined with HTE, such as HTRI and Aspen EDR, the design procedure still requires extensive user manipulation and fine tuning, which not only is time-consuming but also leads to varied qualities due to human factors. Therefore, a systematic optimization methodology is required in order to achieve an efficient and accurate design solution. This paper presents a generalized disjunctive programming (GDP) model for the optimization of STHE design. The model is formulated as a mixed integer non-linear programming (MINLP) problem using GAMS (General Algebraic Modeling System), involving selection for 12 technology combinations (four tube-side techniques, three shell-side techniques) and all discrete decisions for each selection are modeled by disjunctions. The model is then applied to a case study to minimize the total capital cost. Both global optimization solver BARON, and general MINLP solver DICOPT are tested. The results show the developed HTE optimization method provides a better design solution compared with conventional STHE design procedure.
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