Interval based MINLP superstructure synthesis of combined heat and mass exchanger networks

Isafiade, Adeniyi J.; Fraser, Duncan

doi:10.1016/j.cherd.2009.04.006

Cited by 22 publications

(9 citation statements)

References 10 publications

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“…In this article, the effect of the mass exchange temperature on the AOC and how the annualized capital cost (ACC) affects the networks were investigated. Then Isafiade and Fraser (2009) (2010) proposed a superstructure-based approach to simultaneously synthesize the mass transfer temperatures and the CMAHEN by building a non-linear programming mathematical model. Their simultaneous synthesis approach is attained through the predetermination of the hot and cold streams.…”

Section: Introductionmentioning

confidence: 99%

A systematic approach for synthesizing combined mass and heat exchange networks

Liu

El‐Halwagi

et al. 2013

Computers & Chemical Engineering

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Section: Introductionmentioning

confidence: 99%

A systematic approach for synthesizing combined mass and heat exchange networks

Liu

El‐Halwagi

et al. 2013

Computers & Chemical Engineering

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“…This popular superstructure-based approach has been extended and modified by numerous authors to find globally optimal solutions [8][9][10] or to incorporate different structures. [11][12][13] Many variations have been proposed. However, the model can be difficult to solve due to the large number of binary variables as well as the inherent nonlinearity of the formulation.…”

Section: Introductionmentioning

confidence: 99%

Heat exchanger network synthesis with detailed exchanger designs—2. Hybrid optimization strategy for synthesis of heat exchanger networks

et al. 2020

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We propose a new strategy to synthesize heat exchanger networks with detailed designs of individual heat exchangers. The proposed strategy uses a multistep approach by first obtaining a heat exchanger network topology through solving a modified version of the mixed integer nonlinear programming (MINLP) stage‐wise superstructure of Yee and Grossmann, which includes a smoothed LMTD approximation and pressure drops. In a second nonlinear programming (NLP) suboptimization step, we allow for nonisothermal mixing to solve problems with or without exchanger bypasses. The selected heat exchangers along with the mass and energy balances obtained are then used to design the network with detailed exchanger designs through solving a sequence of NLPs for individual heat exchanger designs. The NLPs are based on the detailed discretized optimization models of Kazi et al., which solve quickly and reliably to obtain heat exchangers based on rigorous, first‐principles derived coupled differential equations. These models solve a differential algebraic equation system and do not rely on usual assumptions associated with other heuristic‐based exchanger design methods, such as log mean temperature difference and FT correction factors. These detailed exchanger designs are then used to update the network optimization model through sets of correction factors on heat exchanger area, number of shells, heat transfer coefficients, and pressure drops of each exchanger design, in a method based on that of Short et al. The method solves reliably, guaranteeing feasible exchangers for every potential network generated by the shortcut models, through validation with rigorous heat exchanger models at every iteration. In addition, the method does not increase the nonlinearity of the MINLP model, nor does it require any manual intervention or initialization from the user. Three examples are solved and the results are compared to those obtained in the literature.

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“…A different superstructure, called IBMS (Interval Based MINLP Superstructure), was used by Isafiade and Fraser [13] in the synthesis of multiperiod HENs. This superstructure, proposed by Isafiade and Fraser [14], uses the supply and target temperatures of either hot or cold set of streams to define its intervals, which avoids the need for nonlinear mixing equations by mixing streams with the same temperature. The proposal of Verheyen and Zhang [10] to use the maximum area for each period was included in the objective function to ensure that the same matching between two streams that exchanged heat in two or more different periods could apply to all periods.…”

Section: Introductionmentioning

confidence: 99%

Optimal synthesis of multiperiod heat exchanger networks: A sequential approach

Miranda

Costa

Caballero

et al. 2017

Applied Thermal Engineering

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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 multiperiod 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 bypass 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.

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Interval based MINLP superstructure synthesis of combined heat and mass exchanger networks

Cited by 22 publications

References 10 publications

A systematic approach for synthesizing combined mass and heat exchange networks

A systematic approach for synthesizing combined mass and heat exchange networks

Heat exchanger network synthesis with detailed exchanger designs—2. Hybrid optimization strategy for synthesis of heat exchanger networks

Optimal synthesis of multiperiod heat exchanger networks: A sequential approach

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