Computational modelling for decarbonised drying of agricultural products: Sustainable processes, energy efficiency, and quality improvement

被引:29
作者
Adnouni, M. [1 ]
Jiang, L. [1 ]
Zhang, X. J. [1 ]
Zhang, L. Z. [1 ]
Pathare, Pankaj B. [2 ]
Roskilly, A. P. [3 ]
机构
[1] Zhejiang Univ, Inst Refrigerat & Cryogen, Hangzhou 310027, Peoples R China
[2] Sultan Qaboos Univ, Coll Agr & Marine Sci, Dept Soils Water & Agr Engn, Seeb, Oman
[3] Univ Durham, Sch Engn, Durham DH1 3LE, England
关键词
CFD; Energy modelling; Sustainable drying; Quality evaluation; Decarbonisation; HEAT-PUMP SYSTEMS; ARTIFICIAL NEURAL-NETWORK; ASSISTED SOLAR DRYER; MASS-TRANSFER; PERFORMANCE ANALYSIS; FLUID-DYNAMICS; FOOD MATERIALS; TRANSPORT PHENOMENA; SUPERHEATED STEAM; CONVECTIVE HEAT;
D O I
10.1016/j.jfoodeng.2022.111247
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
Drying agricultural products consumes massive amounts of energy. The rapid depletion of non-renewable energy sources, along with rising environmental concerns, are opening up new opportunities for developing sustainable drying systems and reducing its carbon footprint. Drying modelling is a powerful tool for understanding the mechanism and predicting fluid flow hydrodynamics and heat and mass transfer during the drying process. The current review outlines the state-of-the-art of various modelling techniques for drying technologies, explores the unresolved bottlenecks in technology development, and provides new avenues for more innovative and sus-tainable drying technologies. First, the drying mechanism and novel drying technologies are explained. Then, various modelling methods are summarised. Finally, new insights into quality and energy modelling using CFD are discussed. Based on the research achievements, future challenges of CFD modelling and their contribution to improving the drying process in terms of high quality and low energy consumption and decarbonisation are addressed.
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页数:22
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