4.7 Article

Entransy dissipation-based constraint for optimization of heat exchanger networks in thermal systems

Journal

ENERGY
Volume 86, Issue -, Pages 696-708

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.energy.2015.04.024

Keywords

Heat exchanger network; Global optimization; Energy conservation; Entransy dissipation; Entropy generation

Funding

  1. National Natural Science Foundation of China [51422603, 51356001, 51321002]
  2. National Basic Research Program of China [2013CB228301]
  3. Foundation for the Author of National Excellent Doctoral Dissertation of China [201150]
  4. Importation and Development of High-Caliber Talents Project of Beijing Municipal Institutions [YETP0112]

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The Lagrange multiplier method is introduced for the global optimization of HENs (heat exchanger networks) with fixed layouts to give the optimal configuration of thermal systems that cannot be determined by other methods, such as HEN synthesis or linear programming method. A four-loop HEN with five heat exchangers and heat exchangers in thermodynamic systems are optimized as two examples from different perspectives. The first perspective is based on energy conservation where the energy and heat transfer equations act as the constraints in the Lagrange function. The second perspective is the heat transfer irreversibility where the entransy dissipation-based equation acts as the constraint. The entransy dissipation-based constraint eliminates the number of unknown intermediate fluid temperatures in the HENs and the corresponding number of constraints for HENs in thermal systems, which greatly simplifies the solution of optimization equations. Although the entropy generation-based equation can also act as a constraint, the intermediate fluid temperatures in the HENs cannot be eliminated because the entropy generation is a function of the absolute fluid temperature. As a result, the number of constraints is the same as when using energy conservation, so the optimization procedure for multi-component thermal systems cannot be simplified. (C) 2015 Elsevier Ltd. All rights reserved.

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