On the state space approach to mass/heat exchanger network design**First presented in the 1990 Annual AIChE Meeting in Chicago, paper #22d.

Bagajewicz, Miguel J.; Pham, Robert; Manousiouthakis, Vasilios I.

doi:10.1016/s0009-2509(98)00014-1

Cited by 77 publications

(7 citation statements)

References 31 publications

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“…The rest of water streams, i.e., inlet streams, outlet streams, and recycling streams may or may not be included in HEN synthesis superstructure. In mathematical approaches, the dominant HEN superstructures are the modified state-wise superstructure of Yee and Grossmann [87] and the state-space superstructure of Bagajewicz et al [90]. The former is modified by including stream splitting, stream mixing, and non-isothermal mixing options which consequently makes the problem non-convex with nonlinearities arising in both objective function and constraints.…”

Section: Heat Exchanger Network Synthesismentioning

confidence: 99%

“…Their usage in HIMAN synthesis problems requires additional assumptions and simplifications (e.g., not considering all water stream participating in heat exchange) in the hope of alleviating the computational burden of solving the superstructure of all possible opportunities. As an alternative to superstructure representation, the state-space representation of Bagajewicz et al [90] was addressed in synthesizing HIMANs by several authors [37,38,104,112,118]. The state-space representation contains the superstructure representation of HIMAN as a special case.…”

Section: Relaxation/transformationmentioning

confidence: 99%

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Synthesis of Heat-Integrated Water Allocation Networks: A Meta-Analysis of Solution Strategies and Network Features

2018

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Industries consume large quantities of energy and water in their processes which are often considered to be peripheral to the process operation. Energy is used to heat or cool water for process use; additionally, water is frequently used in production support or utility networks as steam or cooling water. This enunciates the interconnectedness of water and energy and illustrates the necessity of their simultaneous treatment to improve energy and resource efficiency in industrial processes. Since the seminal work of Savulescu and Smith in 1998 introducing a graphical approach, many authors have contributed to this field by proposing graphically-or optimization-based methodologies. The latter encourages development of mathematical superstructures encompassing all possible interconnections. While a large body of research has focused on improving the superstructure development, solution strategies to tackle such optimization problems have also received significant attention. The goal of the current article is to study the proposed methodologies with special focus on mathematical approaches, their key features and solution strategies. Following the convention of Jeżowski, solution strategies are categorized into: decomposition, sequential, simultaneous, meta-heuristics and a more novel strategy of relaxation/transformation. A detailed, feature-based review of all the main contributions has also been provided in two tables. Several gaps have been highlighted as future research directions.

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Section: Heat Exchanger Network Synthesismentioning

confidence: 99%

Section: Relaxation/transformationmentioning

confidence: 99%

Synthesis of Heat-Integrated Water Allocation Networks: A Meta-Analysis of Solution Strategies and Network Features

2018

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“…The optimisation of HENs can be formalised in several ways. Algorithms can focus on the minimum number of matches [13], the Maximum Energy Recovery (MER) [14], the Minimum Energy-Capital cost [15], the minimum Total Annualised Cost (TAC) [16], the minimum number of exchangers [17], or, in the case of retrofit design, the minimum number of additional exchangers and the additional area of the exchangers or piping costs [18]. The goals listed above can be achieved by different algorithms, such as the Pinch methodology [19], dual-temperature approach method [20], pseudo-pinch [21], Supertargeting [14], State-Space approach [16], branch-and bound-based algorithms [22], or the application of Genetic Algorithm and Simulated Annealing (GA and SA, respectively) [23].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of the Complexity, Controllability and Observability of Heat Exchanger Networks Based on Structural Analysis of Network Representations

2019

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The design and retrofit of Heat Exchanger Networks (HENs) can be based on several objectives and optimisation algorithms. As each method results in an individual network topology that has a significant effect on the operability of the system, control-relevant HEN design and analysis are becoming more and more essential tasks. This work proposes a network science-based analysis tool for the qualification of controllability and observability of HENs. With the proposed methodology, the main characteristics of HEN design methods are determined, the effect of structural properties of HENs on their dynamical behaviour revealed, and the potentials of the network-based HEN representations discussed. Our findings are based on the systematic analysis of almost 50 benchmark problems related to 20 different design methodologies.

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“…There are many approaches for the synthesis of MEN with their relative merits and limitations. These are Mixed Integer Linear Programming (MILP) / Mixed Integer Non Linear Programming Approach (MINLP), Process Graph Theory Approach [4], State-Space Approach [5], and Genetic Algorithm Approach [6].…”

Section: Introductionmentioning

confidence: 99%

Synthesis Of Mass Exchanger Network Considering Piping And Pumping Costs Using Process Integration Principles

Khanam¹

2017

J Chem Eng Process Technol

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Diameter of column, m L Flow rate of lean stream, kg/s or kmol/s Nr Real number of stages or tray X Composition of lean stream, (mass fraction or mole fraction) Y Composition of rich stream, (mass fraction or mole fraction) m Coefficient in equilibrium relation, Dimensionless u v Actual gas velocity, (m/s) s Tray spacing, (m) ρ 1 Liquid density, (kg /m) ρ v Gas density, (kg /m 3) D p Pipe size or diameter, (m) Q Mass flow rate of the fluid flowing into the pipe,

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On the state space approach to mass/heat exchanger network design**First presented in the 1990 Annual AIChE Meeting in Chicago, paper #22d.

Cited by 77 publications

References 31 publications

Synthesis of Heat-Integrated Water Allocation Networks: A Meta-Analysis of Solution Strategies and Network Features

Synthesis of Heat-Integrated Water Allocation Networks: A Meta-Analysis of Solution Strategies and Network Features

Evaluation of the Complexity, Controllability and Observability of Heat Exchanger Networks Based on Structural Analysis of Network Representations

Synthesis Of Mass Exchanger Network Considering Piping And Pumping Costs Using Process Integration Principles

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