Digital twin-aided transfer learning for energy efficiency optimization of thermal spray dryers: Leveraging shared drying characteristics across chemicals with limited data

• Main Authors: Bardeeniz, Santi, Panjapornpon, Chanin, Fongsamut, Chalermpan, Ngaotrakanwiwat, Pailin, Hussain, Mohamed Azlan
• Format: Article
• Published: Elsevier 2024
• Subjects: TK Electrical engineering. Electronics Nuclear engineering; TP Chemical technology
• Online Access: http://eprints.um.edu.my/45767/; https://doi.org/10.1016/j.applthermaleng.2024.122431
• Institution: Universiti Malaya

Efficient energy management is crucial for spray -drying units as it can substantially improve product yield, reduce operating costs, and enhance energy utilization. However, due to limited data problems, the monitoring performance of the energy efficiency of a model is inefficient and unreliable, m...