Heat and mass transfer coefficients based on decoupling characteristics of heat and mass transfer between liquid desiccant and air (Ⅰ)NTU-Le model and Le-hD separative evaluation method
|更新时间:2025-12-10
|
Heat and mass transfer coefficients based on decoupling characteristics of heat and mass transfer between liquid desiccant and air (Ⅰ)NTU-Le model and Le-hD separative evaluation method
CIESC JournalIssue 1, Pages: 6-11(2008)
作者机构:
东南大学能源与环境学院
作者简介:
基金信息:
DOI:
CLC:
Online First:05 January 2008,
Published:05 January 2008
稿件说明:
移动端阅览
YIN Yonggao, ZHANG Xiaosong. Heat and mass transfer coefficients based on decoupling characteristics of heat and mass transfer between liquid desiccant and air (Ⅰ)NTU-Le model and Le-hD separative evaluation method[J]. CIESC Journal, 2008, (1): 6-11.
DOI:
YIN Yonggao, ZHANG Xiaosong. Heat and mass transfer coefficients based on decoupling characteristics of heat and mass transfer between liquid desiccant and air (Ⅰ)NTU-Le model and Le-hD separative evaluation method[J]. CIESC Journal, 2008, (1): 6-11.DOI:
Heat and mass transfer coefficients based on decoupling characteristics of heat and mass transfer between liquid desiccant and air (Ⅰ)NTU-Le model and Le-hD separative evaluation method
Liquid desiccant dehumidification process is an important process of liquid desiccant air conditioning systems with coupled heat and mass transfer.The NTU-Le model was developed to describe the liquid desiccant dehumidification process in this paper
and according to the model the characteristics of liquid desiccant dehumidification were presented. Lewis number Le had little effect on outlet air humidity ratio.Based on the characteristics a new method called Le-hD separative evaluation method was developed for determining coupled heat and mass transfer coefficients between air and liquid desiccant.
Adsorption performance of silica gel/molecular sieve composites
Study on flash evaporation characteristics as well as thermodynamic variation performance in liquid hydrogen tank during on-orbit venting
Recent advances in machine learning for modeling and control of crystallization processes
Controlled synthesis of Bi2MoO6/MoO3 composite fibers via in-situ hydrothermal method and their high-efficiency photocatalytic hydrogen production performance
Thermodynamic performance of tower-type solar-assisted supercritical compression CO2 energy storage system