@article{scholars4731,
             doi = {10.4028/www.scientific.net/AMM.625.373},
          volume = {625},
            note = {cited By 4; Conference of 3rd International Conference on Process Engineering and Advanced Materials, ICPEAM 2014 ; Conference Date: 3 June 2014 Through 5 June 2014; Conference Code:114811},
           title = {Heat exchanger network optimization using differential evolution with stream splitting},
            year = {2014},
           pages = {373--377},
       publisher = {Trans Tech Publications Ltd},
         journal = {Applied Mechanics and Materials},
        abstract = {Reduction in energy consumption is an important task in process industry. The basic idea of heat exchanger network (HEN) is to cool hot streams using cold streams and to heat cold streams using hot streams. Hence, synthesis and optimization of HEN is a main tool for improving heat recovery. This article introduces a new strategy for HEN optimization using differential evolution algorithm. The proposed method considers splitting stream at the pinch point, to minimize the total cost of the network. Primarily, the minimum approach temperature value is determined through super-targeting. Then, differential evolution is employed to specify the heat load of heat exchangers and splitting streams. The HEN structure obtained in this work has better economics and illustrates the better performance by this approach. {\^A}{\copyright} 2014 Trans Tech Publications, Switzerland.},
             url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84914146509&doi=10.4028\%2fwww.scientific.net\%2fAMM.625.373&partnerID=40&md5=19e8c6a2190a63308d851e96eaf2b771},
        keywords = {Energy utilization; Evolutionary algorithms; Optimization; Waste heat; Waste heat utilization, Better performance; Differential Evolution; Differential evolution algorithms; Heat exchanger network; Heat exchanger network optimization; Reduction in energy consumption; Splitting stream; Temperature values, Heat exchangers},
            isbn = {9783038351818},
          author = {Thuy, N. T. P. and Pendyala, R. and Marneni, N.},
            issn = {16609336}
}