Multi‐Objective Optimization of Pseudo‐Dynamic Operation of Naphtha Pyrolysis by a Surrogate Model

Jin, Yangkun; Li, Jinlong; Du, Wenli; Qian, Feng

doi:10.1002/ceat.201400162

Cited by 13 publications

(10 citation statements)

References 43 publications

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“…The development of ROMs for olefin plants attracted interest starting in the 1970s when research works on the optimization and advanced process control (APC) of cracking furnaces were started. There is a large number of researchers who developed and used ROMs for different parts of olefin plants to study topics such as optimization of the operation of tubular reactors, , optimization of cracking furnaces, − flare minimization during start-up and shutdown processes, − control of cracking furnaces, − cyclic scheduling of cracking furnace systems, − production planning, − and RTO. − …”

Section: Olefins Production Plantsmentioning

confidence: 99%

Thermal Cracking of Hydrocarbons for the Production of Light Olefins; A Review on Optimal Process Design, Operation, and Control

Fakhroleslam

Sadrameli

2020

Ind. Eng. Chem. Res.

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Olefins production plants are large-scale plants, in most of which gaseous and liquid hydrocarbons are cracked to produce light olefins. The complex and large-scale nature of these plants makes it an utmost necessity to design and operate them with the use of computer-aided optimization and control methods. This review paper provides an overview of the reported research works on the optimization and control of different parts of olefin plants. The main research studies are discussed in two main sections: Optimal Design and Process Operation and Control. In the Optimal Design section, the state of the optimal design of cracking furnace systems, cold-end separation systems, and separation columns have been studied. Then in the Process Operation and Control section, the control of cracking furnaces, the control of cold-end separation systems, real-time optimization of olefin plants, cyclic scheduling of cracking furnace systems, production planning of olefin plants, and finally, start-up and shutdown operations in these plants have been extensively reviewed. This paper is a continuation of the three review articles published previously entitled Thermal and Catalytic Cracking of Hydrocarbons for the Production of Light Olefins, the last of which focused on process modeling and simulation.

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Section: Olefins Production Plantsmentioning

confidence: 99%

Thermal Cracking of Hydrocarbons for the Production of Light Olefins; A Review on Optimal Process Design, Operation, and Control

Fakhroleslam

Sadrameli

2020

Ind. Eng. Chem. Res.

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“…Furthermore, over recent decades, novel modeling techniques have been developed which can substantially aid the optimization of process systems. For instance, surrogate models such as Kriging [39][40][41][42][43][44], radial basis functions [45][46][47][48][49][50], artificial neural networks [51][52][53][54][55][56], splines [57,58], among others were shown to accurately represent complex physical systems while aiding optimal search algorithms. No literature exists which explores the application of such techniques to advance the study of CHP dispatch.…”

Section: Optimal Combined Heat and Power Dispatchmentioning

confidence: 99%

A Critical Review of the Modeling and Optimization of Combined Heat and Power Dispatch

Kazda¹,

Li²

2020

Processes

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Combined heat and power (CHP) systems are attracting increasing attention for their ability to improve the economics and sustainability of the electricity system. Determining how to best operate these systems is difficult because they can consist of many generating units whose operation is governed by complex nonlinear physics. Mathematical programming is a useful tool to support the operation of CHP systems, and has been the subject of substantial research attention since the early 1990s. This paper critically reviews the modeling and optimization work that has been done on the CHP economic dispatch problem, and the CHP economic and emission dispatch problem. A summary of the common models used for these problems is provided, along with comments on future modeling work that would beneficial to the field. The majority of optimization approaches studied for CHP system operation are metaheuristic algorithms. A discussion of the limitations and benefits of metaheuristic algorithms is given. Finally, a case study optimizing five classic CHP system test instances demonstrates the advantages of the using deterministic global search algorithms over metaheuristic search algorithms.

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“…The cyclic scheduling problem of a furnaces system was first proposed by And and Grossmann to determine the allocation of feeds to different furnaces. Jin et al developed a pseudo‐dynamic surrogate model in which the change rate of coke thickness over time was modelled based on data from a mechanism simulator. A Pareto‐optimal frontier with two contradicting objectives, namely, the mean yields of key products and the day mean profits in a long run, was obtained to provide numerous choices for operators.…”

Section: Comprehensive Optimization Of Industrial Processesmentioning

confidence: 99%

Recent progress and challenges in process optimization: Review of recent work at ECUST

et al. 2018

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Optimization is an eternal topic in chemical processes due to limited resources and various safety and environment constraints. The highly intense market competition has led to the realistic significance of optimizing chemical processes. Chemical processes in China have achieved considerable development in recent years, and new challenges to improve operations have emerged along with this development. This paper briefly overviews recent progress made by our laboratory and existing challenges in chemical process optimization. The process optimization is introduced from the perspective of automation hierarchy and its coordination, followed by our major work with emphasis on real‐time optimization and advanced control layers. Several cases of comprehensive optimization in typical chemical processes are highlighted in this paper. On the basis of these theoretical and industrial practices, challenges in process operations are discussed. Finally, opportunities for future research directions are proposed for high efficient operations and control of chemical processes.

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Multi‐Objective Optimization of Pseudo‐Dynamic Operation of Naphtha Pyrolysis by a Surrogate Model

Cited by 13 publications

References 43 publications

Thermal Cracking of Hydrocarbons for the Production of Light Olefins; A Review on Optimal Process Design, Operation, and Control

Thermal Cracking of Hydrocarbons for the Production of Light Olefins; A Review on Optimal Process Design, Operation, and Control

A Critical Review of the Modeling and Optimization of Combined Heat and Power Dispatch

Recent progress and challenges in process optimization: Review of recent work at ECUST

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