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Applied AI Techniques in the Process Industry

From Molecular Design to Process Design and Optimization

Erscheint am 27.11.2024, 1. Auflage 2024
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Bibliografische Daten
ISBN/EAN: 9783527353392
Sprache: Englisch
Umfang: 336 S., 33 s/w Tab., 33 Illustr.
Einband: gebundenes Buch

Beschreibung

Data-driven and first principles models for energy-relevant systems and processes approached through various in-depth case studies.

Autorenportrait

Chang He is an associate professor in School of Chemical Engineering and Technology, Sun Yat-Sen University. The research direction is Process System Engineering and is committed to the applied basic research in interdisciplinary fields such as chemical industry, energy, applied mathematics, etc. In recent years, by using machine learning, numerical simulation, and process modeling, he focuses on the multi-scale integration, design, optimization, and sustainability of the advanced energy systems, as well as the energy conservation and emission reduction of key process equipment in the energy-chemical industry under uncertain conditions. Dr. Jingzheng Ren is currently an Associate Professor at The Hong Kong Polytechnic University. He has been selected as the only winner of the 2022 Asia-Pacific Economic Cooperation (APEC) Sience Prize for Innovation, Research and Education (ASPIRE Prize), in recognition of his scientific contribution commitment to excellence in "Innovation to achieve economic, environmental, and social goals" and Bio-Circular-Green Economy.