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 language | English |
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Title of host publication | Handbook of Multiphase Flow Science and Technology |
Publisher | Springer Nature |
Pages | 1597-1612 |
Number of pages | 16 |
ISBN (Electronic) | 9789812870926 |
ISBN (Print) | 9789812870919 |
DOIs | |
Publication status | Published - 1 Jan 2023 |
Keywords
- Computational fluid dynamics
- Decarbonization
- Digitalization
- Industry 4.0
- Mixing
- Next generation manufacturing
- Process performance
- Resource efficiency
- Transport processes