Application of attainable region theory to batch reactors

Within the framework of elementary process functions (Freund and Sundmacher (2008)) an approach is developed to derive reactor-network candidates from the solution of a dynamic optimization of a batch process scheme by analyzing its optimal mass and energy control fluxes. Thereby, any characteristics of the reaction progress can be identified, e.g. benefits from mixing, back-mixing, recycling, heating, cooling, etc.The approach is used to (i) determine the attainable region for the modified, isothermal van-de-Vusse reaction, which matches literature results; and (ii) synthesize reactor-network candidates for the standard, non-isothermal van-de-Vusse reaction, which gives new insights compared to previous results from literature using superstructure optimization approaches. The results indicate how this approach can be used to determine the attainable region of a process and to rationally select candidates for detailed reactor design with, e.g. superstructure optimization. It further closes the gap between dynamic batch optimization and continuous reactor-network synthesis.

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“…For a comprehensive description of how to translate these continuous reactor types back into batch reactor types see e.g. [25].…”

Section: Differential Sidestream Reactor (Dsr)mentioning

confidence: 84%

Reactor-network synthesis via flux profile analysis

Kaiser

Flassig

Sundmacher

2018

Chemical Engineering Journal

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“…The optimal MINLP results can be directly verified in the modified AR, and all useful suggestions obtained in the analysis step are brought back to the superstructure for modification and another MINLP step is executed until no new suggestions are available in the analysis step. Ming et al 56 applied AR to batch reactor configurations, and they proposed that the results obtained from continuous AR can be converted to relevant batch structures. Standard batch reactors replace PFRs, variable feed‐batch reactors replace DSRs, and constant feed‐batch reactors may be operated to function as CSTRs.…”

Section: Process‐based Approachmentioning

confidence: 99%

Integration of reactor network synthesis: A literature review and opportunities for future research

Zhou

Deng

Gao

et al. 2023

Asia-Pacific J Chem Eng

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The reactor network synthesis (RNS) is one of the subtopics of the chemical process synthesis, the purpose of which is to find an optimal reactor network for the specific objective function of the studied reaction system. This review discusses the principles, advantages, and disadvantages of various methods of RNS, together with the state of the research in each field. These methods could be divided into four categories: the process‐based approach (such as the attainable region, the targeting approach, and the method based on the elementary process functions), superstructure‐based approach, stochastic optimization, and parametric method. Finally, the paper discusses the existing problems of RNS in academic researches and practical applications, as well as its research directions in the future. This paper is helpful to the readers who have interests in the design and optimization of the reactor networks.

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“…The AR technique is a systematic approach to process synthesis, which integrates elements of geometry and mathematical optimization to understand how systems can be designed and improve. The power of the AR technique is that all possible states, for all possible bioreactor configurations, are first determined [8][9][10]. The AR can be constructed after specifying the geometric space, kinetic models, and the feed conditions; then, the appropriate objective functions can be overlaid on the AR boundary to identify the optimal operating points and associated process configurations [8].…”

Section: Theoretical Background 21 Conceptual Framework Of An Integrmentioning

confidence: 99%

Leveraging Integrated Model-Based Approaches to Unlock Bioenergy Potentials in Enhancing Green Energy and Environment

Neba¹,

Agyemang²,

Ndam³

et al. 2020

Green Energy and Environment

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In the quest for a green economy, bioenergy has become a central component due to its ability to minimize depletion of natural energy resources and enhance environmental sustainability. However, the integration of bioenergy for a green economy has often led to policy resistance, the tendency for solutions to cause disastrous side effects on other aspects of the system that were not envisaged. The use of integrated model-based approaches for selection, design, and analysis of technological alternatives for bioenergy production would significantly enhance the systems'sustainability by optimizing design and operation, improving growth and profitability, and enabling a more synergistic interaction between the engineering and the macroeconomic aspects of bioenergy production systems. This chapter is designed to develop model-based methodological frameworks that will support sustainable decision making by all stakeholders involved in the design, operation, and commercialization of bioenergy production systems. Practical case studies are presented for bioethanol, biomethane, and synthetic gas production.

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Application of attainable region theory to batch reactors

Cited by 20 publications

References 44 publications

Reactor-network synthesis via flux profile analysis

Reactor-network synthesis via flux profile analysis

Integration of reactor network synthesis: A literature review and opportunities for future research

Leveraging Integrated Model-Based Approaches to Unlock Bioenergy Potentials in Enhancing Green Energy and Environment

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