Digitalize Process Assets for Improving Productivity Enhance Process Insights, Metric, and Parameters via Simulations

Prerak Dongaonkar, Mothivel Mummudi, Gopal Kasat, Damodaran Vedapuri, Vivek V. Ranade

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

Digitalization of process assets is crucial for achieving ambitious global goals on resource efficiency and decarbonization. In this chapter, we have presented a systematic approach toward digitalizing process assets via high-fidelity compu¬tational models and combining them synergistically with experimental data (real¬time as well as off-line). The approach is based on developing process under¬standing and translating it into usable process metrics. Quantitatively establishing link among process parameters-process metrics and process performance is the heart of any process digitalization. The framework presented in this chapter, a database-driven web-based software framework will be useful for effective digital characterization of process assets. Application of such a framework is illustrated by a few case studies to bring out the inherent power and potential of such digitalization of process assets in improving productivity.

Original languageEnglish
Title of host publicationHandbook of Multiphase Flow Science and Technology
PublisherSpringer Nature
Pages1597-1612
Number of pages16
ISBN (Electronic)9789812870926
ISBN (Print)9789812870919
DOIs
Publication statusPublished - 1 Jan 2023

Keywords

  • Computational fluid dynamics
  • Decarbonization
  • Digitalization
  • Industry 4.0
  • Mixing
  • Next generation manufacturing
  • Process performance
  • Resource efficiency
  • Transport processes

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