Disjunctive model for the simultaneous optimization and heat integration with unclassified streams and area estimation

Quirante, Natalia; Grossmann, Ignacio E.

doi:10.1016/j.compchemeng.2017.09.013

Cited by 20 publications

(17 citation statements)

References 49 publications

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“…We perform the streams heat integration by an improved disjunctive multistage formulation based on the well-known PLM [26] as proposed by Quirante et al [24].…”

Section: Modelling Of Heat Integration With Unclassified Streamsmentioning

confidence: 99%

“…The model proposed by the authors is an extension of the disjunctive model considering variable streams temperatures as developed by Navarro-Amorós et al [23]. In the same way, Quirante et al [24] have developed an alternative disjunctive model for the simultaneous heat integration of unclassified streams. Their model is based upon the modelling approach by Quirante et al [25], in which «max» operators in the pinch location method (PLM) [26] are reformulated via disjunctions to reduce the number of equations and binary variables.…”

Section: Introductionmentioning

confidence: 99%

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Optimal synthesis of work and heat exchangers networks considering unclassified process streams at sub and above-ambient conditions

Onishi

Quirante

Ravagnani³

2018

Applied Energy

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“…We perform the streams heat integration by an improved disjunctive multistage formulation based on the well-known PLM [26] as proposed by Quirante et al [24].…”

Section: Modelling Of Heat Integration With Unclassified Streamsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Optimal synthesis of work and heat exchangers networks considering unclassified process streams at sub and above-ambient conditions

Onishi

Quirante

Ravagnani³

2018

Applied Energy

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“…In fact, extracting the concepts from graphical approaches to develop flexible optimization models has been successfully implemented in other areas. For example, in heat integration, the composite curves, originally introduced in pinch analysis, can be represented mathematically in an optimization model for energy and heat exchanger area targeting . However, the same has not been done for distillation column design and optimization.…”

Section: Introductionmentioning

confidence: 99%

From graphical to model‐based distillation column design: A McCabe‐Thiele‐inspired mathematical programming approach

Kong

Maravelias

2019

AIChE Journal

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We propose a mixed-integer nonlinear programming (MINLP) model for simple and complex distillation column design and optimization. The model is based upon the concepts and equations underpinning the McCabe-Thiele method. Generalizing this method, we introduce material balances at various locations of the column and employ binary variables to determine the optimal number of trays and optimal feed locations. We model the vapor-liquid equilibrium using continuous piecewise linear approximating functions. The model is extended to account for multicomponent mixtures and non-constant-molar overflow. We also discuss how to estimate the minimum number of trays and the minimum reflux ratio. 1 | INTRODUCTION Distillation is arguably the most important unit operation in the separation subsystem of chemical processes. The design and optimization of distillation columns have drawn considerable attention in the chemical engineering literature for more than 100 years. A simple yet accurate distillation model is crucial for higher-level modeling such as distillation sequencing, 1-9 separation network synthesis, 10,11 and general process synthesis. 12-14 Methods for modeling distillation columns are discussed in many textbooks 15-17 and review papers. 18-20 In general, there are three types of approaches. First, shortcut methods are frequently used to predict the key design parameters such as minimum reflux ratio, minimum number of trays, and minimum energy demand. Classical shortcut approaches include the Fenske's equation 21 for the minimum number of trays, the Underwood's method 22 for calculating the minimum reflux ratio, and Gilliland's 23 and Smoker's 24 equations for predicting the number of trays. Extending and generalizing the Underwood method, new shortcut procedures were later developed for complex columns 25,26 and batch distillation. 27 Shortcut methods were also proposed to obtain the minimum energy demand for nonideal systems. The boundary value method (BVM) 28 was introduced for homogeneous azeotropic distillation. The rectifying body method (RBM) was proposed for simple 29 and complex 30 distillation columns. Mathematical-programming-based feed angle method (FAM) was developed by Kraemer et al. 31 and later reformulated by Skiborowski et al. 32 to superstructure-based distillation network synthesis. Shortcut methods were also proposed for the design of reactive distillation columns, thermally coupled columns, and divided wall columns. 33-36 Second, rigorous methods are based on material and energy balances and equilibrium calculation for every tray. The enthalpy and vapor-liquid equilibrium (VLE) are described by equations of state (EOS) or thermodynamic models such as UNIQUAC 37 and UNIFAC. 38 The mixed-integer nonlinear programming model by Viswanathan and Grossmann 39 is applicable to predict optimal locations of the feeds and the number of trays required for a distillation column with multiple feeds, which were modified by Smith and Pantelides 40 to allow the feeds to distribute continuously across the column...

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“…Analysis of bypass and utility requirements of HEN design with maximum HE area. Multiple utilities data[19]. Comparison results of HEN total annual cost for Case Study 1.…”

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Temperature Disturbance Management in a Heat Exchanger Network for Maximum Energy Recovery Considering Economic Analysis

et al. 2019

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The design of heat exchanger networks (HEN) in the process industry has largely focused on minimisation of operating and capital costs using techniques such as pinch analysis or mathematical modelling. Aspects of operability and flexibility, including issues of disturbances affecting downstream processes during the operation of highly integrated HEN, still need development. This work presents a methodology to manage temperature disturbances in a HEN design to achieve maximum heat recovery, considering the impact of supply temperature fluctuations on utility consumption, heat exchanger sizing, bypass placement and economic performance. Key observations have been made and new heuristics are proposed to guide heat exchanger sizing to consider disturbances and bypass placement for cases above and below the HEN pinch point. Application of the methodology on two case studies shows that the impact of supply temperature fluctuations on downstream heat exchangers can be reduced through instant propagation of the disturbances to heaters or coolers. Where possible, the disturbances have been capitalised upon for additional heat recovery using the pinch analysis plus-minus principle as a guide. Results of the case study show that the HEN with maximum HE area yields economic savings of up to 15% per year relative to the HEN with a nominal HE area.

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Disjunctive model for the simultaneous optimization and heat integration with unclassified streams and area estimation

Abstract: Highlights-Disjunctive formulation for simultaneous optimization and heat integration.-It involves unclassified process streams with variable inlet/outlet temperatures.

Cited by 20 publications

References 49 publications

Optimal synthesis of work and heat exchangers networks considering unclassified process streams at sub and above-ambient conditions

Optimal synthesis of work and heat exchangers networks considering unclassified process streams at sub and above-ambient conditions

From graphical to model‐based distillation column design: A McCabe‐Thiele‐inspired mathematical programming approach

Temperature Disturbance Management in a Heat Exchanger Network for Maximum Energy Recovery Considering Economic Analysis

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