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Heat Exchanger Networks (heat + exchanger_network)

Distribution by Scientific Domains
Chemistry100%

Selected Abstracts

Exergoeconomic Analysis of Heat Exchanger Networks for Optimum Minimum Approach Temperature

CHEMICAL ENGINEERING & TECHNOLOGY (CET), Issue 2 2008
J. Zun-long
Abstract Heat exchanger networks (HENs) design for optimum minimum approach temperature is presented using exergoeconomic analysis. Cold and hot utilities are integrated with process streams into T-H plots, forming balanced composite curves, based on pinch technology. Exergy consumption of heat transfer in HENs is calculated using subsection integral on balanced composite curves. Exergy consumption expense substitutes utilities cost as operating cost. The objective function based on exergoeconomics is proposed, which determines the optimum minimum approach temperature of HENs. Numerical results in the cases demonstrate the validity of the proposed approach. Some measures of decreasing energy consumption are disclosed in the dealing process as well. [source]

Synthesis of heat exchanger networks with nonisothermal phase changes

AICHE JOURNAL, Issue 4 2010
M. M. Faruque Hasan
Abstract Most literature on the synthesis of heat exchanger networks via mathematical programming methods has dealt with phase changes by assuming nearly isothermal conditions. Many multicomponent phase changes of practical interest (e.g., those in sub-ambient processes) occur over ranges of temperatures and exhibit nonlinear temperature-enthalpy relations (T-H curve). In such cases, isothermal approximations may lead to inferior or unacceptable networks. In this article, we propose a mixed-integer nonlinear programming formulation and a solution algorithm to incorporate nonisothermal phase changes in heat exchanger network synthesis. We approximate the nonlinear T-H curves via empirical cubic correlations, and propose a procedure to ensure minimum temperature approach at all points in the exchangers. Our approach successfully solves two industry examples and shows promise for significant cost reductions when compared with existing processes. © 2009 American Institute of Chemical Engineers AIChE J, 2009 [source]