Advanced computational modelling for drying processes - A review

被引:235
作者
Defraeye, Thijs [1 ,2 ,3 ]
机构
[1] Katholieke Univ Leuven, Dept Biosyst, MeBioS, B-3001 Heverlee, Belgium
[2] Swiss Fed Labs Mat Testing & Res Empa, Lab Bldg Sci & Technol, CH-8600 Dubendorf, Switzerland
[3] Swiss Fed Inst Technol Zurich ETHZ, Chair Bldg Phys, CH-8093 Zurich, Switzerland
关键词
Food; Dehydration; Energy-smart; CFD; Nexus; Multiphysics; RESEARCH-AND-DEVELOPMENT; MONTE CARLO/CONTINUUM MODEL; MASS-TRANSFER COEFFICIENTS; RAY COMPUTED-TOMOGRAPHY; POROUS-MEDIA MODELS; FLUID-DYNAMICS CFD; MOISTURE TRANSPORT; HEAT-TRANSFER; CONVECTIVE HEAT; FOOD-PRODUCTS;
D O I
10.1016/j.apenergy.2014.06.027
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Drying is one of the most complex and energy-consuming chemical unit operations. R&D efforts in drying technology have skyrocketed in the past decades, as new drivers emerged in this industry next to procuring prime product quality and high throughput, namely reduction of energy consumption and carbon footprint as well as improving food safety and security. Solutions are sought in optimising existing technologies or developing new ones which increase energy and resource efficiency, use renewable energy, recuperate waste heat and reduce product loss, thus also the embodied energy therein. Novel tools are required to push such technological innovations and their subsequent implementation. Particularly computer-aided drying process engineering has a large potential to develop next-generation drying technology, including more energy-smart and environmentally-friendly products and dryers systems. This review paper deals with rapidly emerging advanced computational methods for modelling dehydration of porous materials, particularly for foods. Drying is approached as a combined multiphysics, multiscale and multiphase problem. These advanced methods include computational fluid dynamics, several multiphysics modelling methods (e.g. conjugate modelling), multiscale modelling and modelling of material properties and the associated propagation of material property variability. Apart from the current challenges for each of these, future perspectives should be directed towards material property determination, model validation, more complete multiphysics models and more energy-oriented and integrated "nexus" modelling of the dehydration process. Development of more user-friendly, specialised software is paramount to bridge the current gap between modelling in research and industry by making it more attractive. These advanced computational methods show promising perspectives to aid developing next-generation sustainable and green drying technology, tailored to the new requirements for the future society, and are expected to play an increasingly important role in drying technology R&D. (C) 2014 Elsevier Ltd. All rights reserved.
引用
收藏
页码:323 / 344
页数:22
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