
Study on calculating kinetic parameters of mathematical model describing the adsorption process of a single fixed bed of N2 gas generator working by pressure swing adsorption (PSA) and using carbon molecular sieves CMS-240
Author(s) -
Chinh Pham Van,
Tuan Le Quang,
Hieu Nguyen Tuan,
Tien Vu Dinh
Publication year - 2021
Publication title -
xúc tác và hấp phụ
Language(s) - English
Resource type - Journals
ISSN - 0866-7411
DOI - 10.51316/jca.2020.13
Subject(s) - pressure swing adsorption , adsorption , molecular sieve , process engineering , process (computing) , generator (circuit theory) , matlab , carbon fibers , vacuum swing adsorption , swing , nitrogen , materials science , chemistry , simulation , chemical engineering , computer science , thermodynamics , mechanical engineering , engineering , composite material , organic chemistry , physics , power (physics) , composite number , operating system
Nitrogen generator working by pressure swing adsorption cycle using carbon molecular sieves adsorbent is widely used in industry at small and medium scale in recent years, due to its convenience. This is equipment that uses a molecular size selective adsorption technique to separate nitrogen from air. In general, kinetic modeling and optimization are commonly used to analyze the process dynamics of the adsorption column at various operating conditions in which process parameters such as gas concentration, operating temperature and pressure are considered to be functions of time and bed height. In this paper, a mathematical model describing the adsorption column according to the pressure function is established following time and the height of the bed assuming that the velocity through area of the bed is constant at each pressure. The results of these calculations are model parameters that describe the adsorption process of the column. This model can be solved by MATLAB software to simulate the adsorption process of the column. This study was carried out on a nitrogen gas generator that was researched and designed at the Institute of Technology - General Department of Defense Industry to simulate, optimize and scale-up.