Challenges and Opportunities to Enhance Flexibility in Design and Operation of Chemical Processes

Riese, Julia; Grünewald, Marcus

doi:10.1002/cite.202000057

Cited by 25 publications

(11 citation statements)

References 78 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Flexible operations. Recent trends towards flexible operation of chemical processes are based on motivations to deviate from the accepted paradigm of steady-state operation (Riese and Grünewald, 2020;Pattison et al, 2016). For example, large fluctuations in electricity prices may motivate over-production when prices are low, and vice versa (assuming products can be stored).…”

Section: Relevant Applicationsmentioning

confidence: 99%

Maximizing information from chemical engineering data sets: Applications to machine learning

Thebelt,

Wiebe,

Kronqvist

et al. 2022

Preprint

View full text Add to dashboard Cite

It is well-documented how artificial intelligence can have (and already is having) a big impact on chemical engineering. But classical machine learning approaches may be weak for many chemical engineering applications. This review discusses how challenging data characteristics arise in chemical engineering applications. We identify four characteristics of data arising in chemical engineering applications that make applying classical artificial intelligence approaches difficult: (1) high variance, low volume data, (2) low variance, high volume data, (3) noisy/corrupt/missing data, and (4) restricted data with physics-based limitations. For each of these four data characteristics, we discuss applications where these data characteristics arise and show how current chemical engineering research is extending the fields of data science and machine learning to incorporate these challenges. Finally, we identify several challenges for future research.

show abstract

Section: Relevant Applicationsmentioning

confidence: 99%

Maximizing information from chemical engineering data sets: Applications to machine learning

Thebelt,

Wiebe,

Kronqvist

et al. 2022

Preprint

View full text Add to dashboard Cite

show abstract

“…However, such a systematic framework is currently lacking, though a few studies have already worked on harmonizing the definitions of several flexibility types and reviewing known strategies to enhance feedstock flexibility. 34,41 This paper aims to fill this gap by examining how flexibility has been studied and proposing a conceptual framework for evaluating specific flexibility types of novel chemical processes. The framework encloses definitions, elements, types, and indicators of different flexibility types in the chemical (including biochemical) engineering context.…”

Section: Introductionmentioning

confidence: 99%

“…Such a framework can support designers and decision-makers in the chemical industry to better understand the types of flexibility they are designing toward, how different types of flexibility interact with each other, and how to assess the level of specific flexibility types a design has. However, such a systematic framework is currently lacking, though a few studies have already worked on harmonizing the definitions of several flexibility types and reviewing known strategies to enhance feedstock flexibility. , This paper aims to fill this gap by examining how flexibility has been studied and proposing a conceptual framework for evaluating specific flexibility types of novel chemical processes. The framework encloses definitions, elements, types, and indicators of different flexibility types in the chemical (including biochemical) engineering context.…”

Section: Introductionmentioning

confidence: 99%

Development of a Conceptual Framework for Evaluating the Flexibility of Future Chemical Processes

Luo

Moncada

Ramírez

2022

Ind. Eng. Chem. Res.

View full text Add to dashboard Cite

Incorporating (operational) flexibility into process design has been a key approach to cope with uncertainties. The increasing penetration of renewables and the need for developing new low-carbon technologies will increase the demand for flexibility in chemical processes. This paper presents a state-ofthe-art review focusing on the origin, definition, and elements of flexibility in the chemical engineering context. The article points out a significant overlap in terminology and concepts, making it difficult to understand and compare flexibility potential and constraints among studies. Further, the paper identifies a lack of available metrics for assessing specific types of flexibility and the need for developing indicators for exploring the potential flexibility of novel chemical processes. The paper proposes a classification of flexibility types and provides an overview of design strategies that have been adopted so far to enable different types of flexibility. Finally, it offers a conceptual framework that can support designers to evaluate specific types of flexibility in early-stage assessments of novel chemical processes.

show abstract

“…Consequently, conventional plant operation is diametrically opposed to these new market developments. On the other hand, flexible operation also offers emerging opportunities, for example, exploitation of varying electricity prices or financial compensation for providing grid balancing services (BSs). This is particularly true for electrochemical processes due to their high demand for electrical energy and a considerable share of electricity cost in the production costs .…”

Section: Introductionmentioning

confidence: 99%

Assessing the Realizable Flexibility Potential of Electrochemical Processes

Hoffmann

Hübner

Klaucke

et al. 2021

Ind. Eng. Chem. Res.

View full text Add to dashboard Cite

Demand response is a viable concept to deal with and benefit from fluctuating electricity prices and is of growing interest to the electrochemical industry. To assess the flexibility potential of such processes, a generic, interdisciplinary methodology is required. We propose such a methodology, in which the electrochemical fundamentals and the theoretical potential are determined first by analyzing strengths, weaknesses, opportunities, and threats. Afterward, experiments are conducted to determine selectivity and yield under varying loads and to assess the additional long-term costs associated with flexible operation. An industrial-scale electrochemical process is assessed regarding its technical, economic, and practical potential. The required steps include a flow sheet analysis, the formulation and solution of a simplified model for operation scheduling under various business options, and a dynamic optimization based on rigorous, dynamic process models. We apply the methodology to three electrochemical processes of different technology readiness levelsthe syntheses of hydrogen peroxide, adiponitrile, and 1,2-dichloroethane via chloralkali electrolysisto illustrate the individual steps of the proposed methodology.

show abstract

Challenges and Opportunities to Enhance Flexibility in Design and Operation of Chemical Processes

Cited by 25 publications

References 78 publications

Maximizing information from chemical engineering data sets: Applications to machine learning

Maximizing information from chemical engineering data sets: Applications to machine learning

Development of a Conceptual Framework for Evaluating the Flexibility of Future Chemical Processes

Assessing the Realizable Flexibility Potential of Electrochemical Processes

Contact Info

Product

Resources

About