REDUCING DRYING ENERGY CONSUMPTION BY MULTISTAGE ADSORPTION DRYER COMBINATORIAL OPTIMIZATION

摘要：

　　This work presents a mixed integer nonlinear programming (MINLP)-based scheme for energy-efficient multistage adsorption dryer design within product temperature and moisture constraints.The aim is to select the most efficient adsorbent per-stage and product-air flow configuration while optimizing temperatures and flows.Superstructure models consisting of various adsorbents are developed and optimized for a two-stage system.The optimal configuration uses zeolite and silica-gel as the first- and second-stage adsorbents respectively with counter-current flow between the drying air and product.Compared to conventional two-stage dryers under similar operating conditions,specific energy consumption is reduced by up to 60%.

关键词： Dryer energy savings Superstructure optimization Hybrid dryers Desiccant adsorption Mixed integer nonlinear programming

作者: J.C.Atuonwu G.van Straten H.C.van Deventer A.J.B.van Boxtel

作者单位: Systems and Control Group,Wageningen University Bornse Weilanden 9,Wageningen 6700AA,the Netherlands TNO,P O Box,360,Zeist,3700AJ,the Netherlands

会议类型: 国际会议

会议名称: The 18th International Drying Symposium Conference(第十八届国际干燥学术大会(IDS2012))

会议地点: 厦门

会议语种:英文

页码: 1-8

在线出版日期: 2012-01-11（万方平台首次上网日期，不代表论文的发表时间）