Heat exchanger network (HEN) synthesis is an important research field in industrial processes. It is possible to minimize utilities usage as well as pollutant emissions by an optimal HEN synthesis. In multi period HENs, the same heat transfer devices must be able to operate under different operating conditions. The synthesis of multiperiod HEN can be formulated as an optimization problem. In the present paper it is used a sequential approach to solve the problem of synthesizing multiperiod HEN, considering heat capacities and stream temperatures variations into different operation periods. In this approach, multiperiod HEN synthesis is decomposed into three sequential steps, considering three optimization models. The novelties of the proposed approach are a modification in a well-known superstructure from the literature, with the inclusion of new by-pass streams, and an improvement in the NLP model of the third step. Two benchmark literature examples are studied and the obtained results prove the approach applicability, showing better values and network topologies. (C) 2016 Elsevier Ltd. All rights reserved.
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Univ Fed Rio Grande do Sul, Dept Chem Engn, Brazil Grp Intensificat Modeling Simulat Control, BR-90040040 Porto Alegre, RS, BrazilUniv Fed Rio Grande do Sul, Dept Chem Engn, Brazil Grp Intensificat Modeling Simulat Control, BR-90040040 Porto Alegre, RS, Brazil
Escobar, Marcelo
Trierweiler, Jorge O.
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Univ Fed Rio Grande do Sul, Dept Chem Engn, Brazil Grp Intensificat Modeling Simulat Control, BR-90040040 Porto Alegre, RS, BrazilUniv Fed Rio Grande do Sul, Dept Chem Engn, Brazil Grp Intensificat Modeling Simulat Control, BR-90040040 Porto Alegre, RS, Brazil
Trierweiler, Jorge O.
Grossmann, Ignacio E.
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Carnegie Mellon Univ, Dept Chem Engn, USA Ctr Adv Proc Decis Making CAPD, Pittsburgh, PA 15213 USAUniv Fed Rio Grande do Sul, Dept Chem Engn, Brazil Grp Intensificat Modeling Simulat Control, BR-90040040 Porto Alegre, RS, Brazil
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China Univ Petr, State Key Lab Heavy Oil Proc, Beijing, Peoples R China
Zhejiang Univ, Coll Chem & Biol Engn, Zhejiang Prov Key Lab Adv Chem Engn Manufacture T, Hangzhou, Peoples R ChinaChina Univ Petr, State Key Lab Heavy Oil Proc, Beijing, Peoples R China
Chang, Chenglin
Peccini, Alice
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Rio de Janeiro State Univ UERJ, Inst Chem, Rio De Janeiro, BrazilChina Univ Petr, State Key Lab Heavy Oil Proc, Beijing, Peoples R China
Peccini, Alice
Wang, Yufei
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China Univ Petr, State Key Lab Heavy Oil Proc, Beijing, Peoples R ChinaChina Univ Petr, State Key Lab Heavy Oil Proc, Beijing, Peoples R China
Wang, Yufei
Costa, Andre L. H.
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Rio de Janeiro State Univ UERJ, Inst Chem, Rio De Janeiro, BrazilChina Univ Petr, State Key Lab Heavy Oil Proc, Beijing, Peoples R China
Costa, Andre L. H.
Bagajewicz, Miguel J.
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Univ Oklahoma, Sch Chem Biol & Mat Engn, Norman, OK 73019 USAChina Univ Petr, State Key Lab Heavy Oil Proc, Beijing, Peoples R China