Simultaneous flexibility targeting and synthesis of minimum-utility heat-exchanger networks with superstructure-based MILP formulation

Konukman, Alp Er S.; Çamurdan, Mehmet C.; Akman, Uğur

doi:10.1016/s0255-2701(01)00171-4

Cited by 44 publications

(38 citation statements)

References 29 publications

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“…Yee and Grossmann [181,182] presented an MINLP formulation of a multi-stage superstructure that allows any pair of hot and cold streams to exchange heat in every stage. This model was extended to include flexibility [183][184][185], detailed exchanger design models [186,187], and isothermal streams involving phase change [188].…”

Section: Process Synthesismentioning

confidence: 99%

Review of Mixed‐Integer Nonlinear and Generalized Disjunctive Programming Methods

Trespalacios

Grossmann

2014

Chemie Ingenieur Technik

151

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This work presents a review of the applications of mixed-integer nonlinear programming (MINLP) in process systems engineering (PSE). A review on the main deterministic MINLP solution methods is presented, including an overview of the main MINLP solvers. Generalized disjunctive programming (GDP) is an alternative higher-level representation of MINLP problems. This work reviews some methods for solving GDP models, and techniques for improving MINLP methods through GDP. The paper also provides a high-level review of the applications of MINLP in PSE, particularly in process synthesis, planning and scheduling, process control and molecular computing.

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Section: Process Synthesismentioning

confidence: 99%

Review of Mixed‐Integer Nonlinear and Generalized Disjunctive Programming Methods

Trespalacios

Grossmann

2014

Chemie Ingenieur Technik

151

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“…Those methods were extended to take into account operational variability, solving problems that built heat exchanger networks able to operate in various predefined scenarios. They were called Methods of Synthesis of Flexible HENs, and were established by as a sequential set of optimization problems, which was changed by Papalexandri and Pistikopoulos (1993), and Konukman et al (2002) to comprise a single (and more complex) optimization problem.…”

Section: When Linnhoff and Coworkers Brought Pinchmentioning

confidence: 99%

Heat integration of an Olefins Plant: Pinch Analysis and mathematical optimization working together

Beninca

Trierweiler

Secchi³

2011

Braz. J. Chem. Eng.

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-This work explores a two-step, complexity reducing methodology, to analyze heat integration opportunities of an existing Olefins Plant, identify and quantify reduction of energy consumption, and propose changes of the existing heat exchanger network to achieve these goals. Besides the analysis of plant design conditions, multiple operational scenarios were considered to propose modifications for handling real plant operation (flexibility). On the strength of plant complexity and large dimension, work methodology was split into two parts: initially, the whole plant was evaluated with traditional Pinch Analysis tools. Several opportunities were identified and modifications proposed. Modifications were segregated to represent small and independent portions of the original process. One of them was selected to be re-analyzed, considering two scenarios. Reduction of problem dimension allowed mathematical methodologies (formulation with decomposition, applying LP, MILP and NLP optimization methods) to synthesize flexible networks to be applied, generating a feasible modification capable of fulfilling the proposed operational scenarios.

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“…In fact, different extensions have been proposed in the literature such as: (i) removal of the isothermal mixing assumption: Björk and Westerlund (2002); (ii) retrofit: Ma, Hui and Yee (2000); (iii) detailed equipment design and fluid dynamic considerations as pressure drop : Mizutani, Pessoa, Queiroz, Hauan, and Grossmann (2003), Serna-González, Ponce-Ortega, and Jiménez-Gutiérrez (2004); Ravagnani and Caballero (2007); (iv) occurrence of phase change: Ponce-Ortega, Jiménez-Gutiérrez and Grossmann (2008). (v) flexibility considerations: Konukman, Çamurdan, and Akman (2002); Chen and Hung (2004); and Verheyen and Zhang (2006); (vi) environment impacts: López-Maldonado, Ponce-Ortega, and SegoviaHernández (2011).…”

Section: Introductionmentioning

confidence: 99%

Simultaneous synthesis of heat exchanger networks with operability considerations: Flexibility and controllability

Aragão

Trierweiler

Grossmann

2013

Computers & Chemical Engineering

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In this work a computational framework is proposed for the synthesis of flexible and controllable Heat Exchanger Networks. The synthesis is projected to operate over a specified range of expected variations in the inlet temperatures and flowrates of the process streams using a decentralized control system, such that the Total Annual Cost involving the utility consumption and the investment are optimized simultaneously. The framework is based on a two-stage strategy. A design stage is performed prior to the operability analysis where the design variables are chosen. In the second stage, the control variables are adjusted during operation on the realizations of the uncertain parameters. The framework yields a HEN design, which is guaranteed to operate with the designed control system under varying conditions ensuring stream temperature targets and optimal energy integration. The application of the proposed framework and its computational efficiency are illustrated with some numerical examples.

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Simultaneous flexibility targeting and synthesis of minimum-utility heat-exchanger networks with superstructure-based MILP formulation

Cited by 44 publications

References 29 publications

Review of Mixed‐Integer Nonlinear and Generalized Disjunctive Programming Methods

Review of Mixed‐Integer Nonlinear and Generalized Disjunctive Programming Methods

Heat integration of an Olefins Plant: Pinch Analysis and mathematical optimization working together

Simultaneous synthesis of heat exchanger networks with operability considerations: Flexibility and controllability

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