Cover Image

Design and development of optimum modular carbon capture adsorption bed

In this thesis consists of designing an optimum modular carbon capture embedded for power plant mainly used for Tenaga Nasional Berhad Company. The design consists of primary modular design and secondary modular design. The significant differences between both of it is the primary module are better...

Full description

Saved in:
Bibliographic Details
Main Author: Luqman Hisham Bin Hisamuddin
Format:
Published: 2023
Subjects:
PSA
Langmuir
Dubinin - Astakhov
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.uniten.dspace-21595
record_format dspace
spelling my.uniten.dspace-215952023-05-05T04:00:32Z Design and development of optimum modular carbon capture adsorption bed Luqman Hisham Bin Hisamuddin PSA Langmuir Dubinin - Astakhov In this thesis consists of designing an optimum modular carbon capture embedded for power plant mainly used for Tenaga Nasional Berhad Company. The design consists of primary modular design and secondary modular design. The significant differences between both of it is the primary module are better approach as the performance and efficiency are in good shape between secondary modular design. The focused techniques in this thesis are using pressure swing adsorption. In this thesis contains the study of simulation of the modular design in using the dual set Langmuir theorem and Dubinin-Astakahov approach for finding CO2 adsorption isotherm. The properties of Metal Organic Framework (Mg-MOF-74) and Activated Carbon are provided in this thesis. The simulation of the modular in other aspects contains the mesh independence analysis to improvise numerical data in mesh generation for Computational Fluid Dynamics (CFD) software mainly in Ansys Fluent and by the results also providing CO2 concentration contour[1]. 2023-05-03T17:22:19Z 2023-05-03T17:22:19Z 2020-02 https://irepository.uniten.edu.my/handle/123456789/21595 application/pdf
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
topic PSA
Langmuir
Dubinin - Astakhov
spellingShingle PSA
Langmuir
Dubinin - Astakhov
Luqman Hisham Bin Hisamuddin
Design and development of optimum modular carbon capture adsorption bed
description In this thesis consists of designing an optimum modular carbon capture embedded for power plant mainly used for Tenaga Nasional Berhad Company. The design consists of primary modular design and secondary modular design. The significant differences between both of it is the primary module are better approach as the performance and efficiency are in good shape between secondary modular design. The focused techniques in this thesis are using pressure swing adsorption. In this thesis contains the study of simulation of the modular design in using the dual set Langmuir theorem and Dubinin-Astakahov approach for finding CO2 adsorption isotherm. The properties of Metal Organic Framework (Mg-MOF-74) and Activated Carbon are provided in this thesis. The simulation of the modular in other aspects contains the mesh independence analysis to improvise numerical data in mesh generation for Computational Fluid Dynamics (CFD) software mainly in Ansys Fluent and by the results also providing CO2 concentration contour[1].
format
author Luqman Hisham Bin Hisamuddin
author_facet Luqman Hisham Bin Hisamuddin
author_sort Luqman Hisham Bin Hisamuddin
title Design and development of optimum modular carbon capture adsorption bed
title_short Design and development of optimum modular carbon capture adsorption bed
title_full Design and development of optimum modular carbon capture adsorption bed
title_fullStr Design and development of optimum modular carbon capture adsorption bed
title_full_unstemmed Design and development of optimum modular carbon capture adsorption bed
title_sort design and development of optimum modular carbon capture adsorption bed
publishDate 2023
_version_ 1806427507195379712
score 13.222552

Similar Items