A novel hybrid strategy for cost-optimal heat exchanger network synthesis suited for large-scale problems

Publikationstyp
Journal Article
Date Issued
2020-02-25
Sprache
English
Author(s)
Rathjens, Matthias 
Fieg, Georg  
Institut
Prozess- und Anlagentechnik V-4  
TORE-URI
http://hdl.handle.net/11420/4241
Journal
Applied thermal engineering  
Volume
167
Article Number
114771
Citation
Applied Thermal Engineering (167): 114771 (2020-02-25)
Publisher DOI
10.1016/j.applthermaleng.2019.114771
Scopus ID
2-s2.0-85076273057
In this work optimal synthesis of heat exchanger networks (HENs) is focused on, namely the minimization of total annual costs (TAC). An efficient combination of optimization strategies for HEN synthesis is presented. A novel strategy for local optimization in the continuous space is developed and embedded in a stochastic global search with a tailored genetic algorithm using a stage-wise superstructure. The novel strategy is based on structure identification and changing the reference system for optimization. This strategy reduces the number of optimization variables and is able to simplify HEN structures thus enabling particularly well performing local search. Eight frequently studied medium- to large-scale problems from literature are investigated and evaluated. The application of the proposed algorithm was able to find configurations with consistently lower TAC compared to previously reported solutions.
Subjects
Genetic algorithm
Global optimization
Heat exchanger network
Heat integration
Heat load distribution
Synthesis