Smarter process engineering across the plant life-cycle: CAPE 4.0 in industrial practice

Elixmann, David; Imle, Michael; Feist, Markus; Becher, R.

doi:10.1016/b978-0-444-64235-6.50202-3

Cited by 1 publication

(1 citation statement)

References 6 publications

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“…138 This can be understood in terms of reducing plant settling time, 147 but recently, the area of optimizing operating conditions during transient phases (batch operation, load or product shift) using nonlinear dynamic process models is gaining momentum also in the industry. 33,148 Searching academic literature for continuous processes with large changeover costs, one is bound to find the continuous production of polymers. Here, plants face changeover problems similar to the bioindustry, naturally, i.e., biopolymers.…”

Section: Prevalence Of Batch Bioprocessesmentioning

confidence: 99%

Challenges in Optimization and Control of Biobased Process Systems: An Industrial-Academic Perspective

Bähner

Prado-Rúbio

Huusom

2021

Ind. Eng. Chem. Res.

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Biobased slurry processes and large-scale continuous chemical production share many similarities. These concern not only process technologies and equipment but also staffing (positions/ educations) and plant operations, including methods and technologies for planning, scheduling, and control. Process Systems Engineering (PSE) approaches have been applied successfully in large-scale chemical production to optimize processes of high complexity. By replacing rules-of-thumb and oversimplified calculations with rigorous quantification and automation, PSE increases the profitability of a wide range of processes. Such improvement potential also exists in the bioindustry, which traditionally comprises many small-scale and batch plants deployed in food or pharmaceutical production. The article elucidates the most important operational challenges of such processes. It brings together academic research and industrial perspectives by contrasting a careful revision of literature with a survey of personnel working in industrial biobased production settings in Denmark. This analysis allows showing the existence of a gap between academic research focus and industrial need, for instance, concerning production processes with humans-in-the-loop. Furthermore, differences between chemical and biobased processes are pointed out, highlighting some limitations of applying PSE to biobased processes. A deeper understanding of these limitations is fundamental to assessing risks when identifying process improvement potential. Finally, the article suggests a possible roadmap for the development of frameworks for the optimization of industrial biobased processes based on existing works in chemical processing.

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