An Optimization-Based Approach for Simultaneous Chemical Process and Heat Exchanger Network Synthesis

Kong, Lingxun; Maravelias, Christos T.

doi:10.1021/acs.iecr.8b00065

Cited by 16 publications

(3 citation statements)

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“…Inspired by this work, Quirante et al 18 proposed a reduced disjunction model to address unclassified hot/cold streams. Furthermore, Kong et al 19,20 performed simultaneous optimization of process synthesis and heat exchanger network design based on the construction of "dynamic" enthalpy intervals. However, the above studies focus on the HENS with variable temperature and flow rates, which ignores the detailed process modeling.…”

Section: Introductionmentioning

confidence: 99%

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Simultaneous Optimization of a Heat-Integrated Coal-to-SNG/MeOH Polygeneration Process Based on Rigorous Kinetic Models

Zhuang

Zhang

et al. 2020

Ind. Eng. Chem. Res.

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In this article, a novel simulation–optimization method is proposed for the simultaneous design of a heat-integrated coal-to-SNG/MeOH (CTSM) polygeneration process, aiming at exergy efficiency enhancement. The genetic algorithm is adopted to simultaneously optimize the presented polygeneration process, which combines the key reaction units based on rigorous kinetic modeling and simulation with a waste heat recovery steam cycle (WHRSC). A heat integration approach that considers variable stream conditions is introduced to connect CTSM and WHRSC. In developing this approach, an extended Duran–Grossmann (D–G) model is established, which incorporates the isothermal phase change and nonisothermal phase change. The interaction mechanism between process synthesis and heat integration is further explored. Compared with the base case obtained by a sequential method, the presented method yields a 2.22 percentage point increase in the overall exergy efficiency and a 44.05% improvement of power generation. In this sense, the utility consumption in the polygeneration process can be sharply reduced and even achieve zero hot utility consumption. The corresponding heat exchanger network is determined that consists of 56 heat exchangers and 7 coolers with a total area of 93 763 m2. Furthermore, the interaction among different process units reveals that process synthesis has a stronger effect on heat integration.

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Section: Introductionmentioning

confidence: 99%

“…Inspired by this work, Quirante et al proposed a reduced disjunction model to address unclassified hot/cold streams. Furthermore, Kong et al , performed simultaneous optimization of process synthesis and heat exchanger network design based on the construction of “dynamic” enthalpy intervals.…”

Section: Introductionmentioning

confidence: 99%

Simultaneous Optimization of a Heat-Integrated Coal-to-SNG/MeOH Polygeneration Process Based on Rigorous Kinetic Models

Zhuang

Zhang

et al. 2020

Ind. Eng. Chem. Res.

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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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Rules for Predicting Benefits in Simultaneous versus Sequential Heat Integration

Pötting

Subramanian

Gundersen

2021

31st European Symposium on Computer Aided Process Engineering

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An Optimization-Based Approach for Simultaneous Chemical Process and Heat Exchanger Network Synthesis

Cited by 16 publications

References 57 publications

Simultaneous Optimization of a Heat-Integrated Coal-to-SNG/MeOH Polygeneration Process Based on Rigorous Kinetic Models

Simultaneous Optimization of a Heat-Integrated Coal-to-SNG/MeOH Polygeneration Process Based on Rigorous Kinetic Models

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

Rules for Predicting Benefits in Simultaneous versus Sequential Heat Integration

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