TY  - JOUR
KW  - Energy utilization; Genetic algorithms; Heuristic methods; Industrial engineering; Mathematical programming; Optimization; Simulated annealing
KW  -  Capital costs; Differential Evolution; Differential evolution method; Heat exchanger network; Heat exchanger network optimization; HEN synthesis; Pinch technology; Process streams
KW  -  Heat exchangers
ID  - scholars5263
N2  - The synthesis of heat exchanger network (HEN) is a comprehensive approach to optimize energy utilization in process industry. Recent developments in HEN synthesis (HENS) present several heuristic methods, such as Simulated Annealing (SA), Genetic Algorithm (GA), and Differential Evolution (DE). In this work, DE method for synthesis and optimization of HEN has been presented. Using DE combined with the concept of super-targeting, the Î?Tmin optimization is determined. Then DE algorithm is employed to optimize the global cost function including the constraints, such as heat balance, the temperatures of process streams. A case study has been optimized using DE, generated structure of HEN and compared with networks obtained by other methods such as pinch technology or mathematical programming. Through the result, the proposed method has been illustrated that DE is able to apply in HEN optimization, with 16.7 increase in capital cost and 56.4, 18.9 decrease in energy, global costs respectively. © (2014) Trans Tech Publications, Switzerland.
VL  - 564
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-84903521002&doi=10.4028%2fwww.scientific.net%2fAMM.564.292&partnerID=40&md5=7b2e0165dc12492942348755b511c02a
JF  - Applied Mechanics and Materials
A1  - Thuy, N.T.P.
A1  - Pendyala, R.
A1  - Rahmanian, N.
A1  - Marneni, N.
Y1  - 2014///
SP  - 292
TI  - Heat exchanger network optimization by differential evolution method
N1  - cited By 7
AV  - none
EP  - 297
SN  - 16609336
PB  - Trans Tech Publications Ltd
ER  -