RAHDIKA A/P NADARAJAN, - (2022) MODELING AND SIMULATION OF A HYDROGEN�SELECTIVE CATALYTIC REDUCTION OF NITRIC OXIDE OVER A CARBON CATALYST. [Final Year Project Report] (Unpublished)
PDF
FYP_Rahdika Nadarajan - 24pages.pdf Download (603kB) |
|
PDF (Please get the password by email to repository@unimas.my , or call ext: 082-583914/3973/3933)
Rahdika Nadarajan.pdf Restricted to Registered users only Download (1MB) |
Abstract
Nitrogen oxides are a group of extremely reactive, toxic gases. Automobiles, trucks, and other non-road vehicles all emit NOx pollution. An air pollutant is any gas or particulate at a concentration that is high enough to be harmful to life, environment and/or property. Significant progress has been made in the economy sector in terms of monitoring NOx using both ground-based and space-borne sensors in the last decade. These data have enabled the detection of trends and seasonality, as well as the identification of emission sources and the study of the chemistry and dynamics that govern NOx levels in the environment. Emissions are reduced using catalytic converters. There are various studies regarding selective catalytic reduction (SCR) in which, most of it is conducted experimentally. By reviewing all the recent literature studies, there are some limitations and complications, depending on the system, catalyst or the reductant. The overall aim of this research project is to simulate the selective catalytic reduction of nitric oxide using hydrogen as reductant and carbon as catalyst support. The effects of carbon catalyst and its catalytic activity on the conversion and selectivity of nitric oxide will be studied via this simulation. Specifically, this research project focuses on selective catalytic reduction of nitric oxide over a carbon catalyst using hydrogen as the reductant on square-opening honeycomb system. The model equations were derived according to the relativity to the project objectives which can be divided into several parts including energy balance, transport process and reaction rate. The model equations and parameters were then used to construct a 1-D computational fluid dynamics (CFD) simulation using Ansys software. Later, sensitivity analysis was performed on the catalytic material configurations using the constructed CFD model with engineering fundamentals. Hence, larger catalyst size contributed to a higher NO removal efficiency. From this thesis, 94.5% of NO content is reduced by carbon catalyst of 6mm x 6mm square length
Item Type: | Final Year Project Report |
---|---|
Subjects: | T Technology > TP Chemical technology |
Divisions: | Academic Faculties, Institutes and Centres > Faculty of Engineering Faculties, Institutes, Centres > Faculty of Engineering |
Depositing User: | John |
Date Deposited: | 29 Aug 2022 03:11 |
Last Modified: | 04 Mar 2024 03:17 |
URI: | http://ir.unimas.my/id/eprint/39355 |
Actions (For repository members only: login required)
View Item |