ABSTRACT
The Increase use of
fossil fuels has resulted in higher greenhouse gas emissions and the rise in
global warming. This study applied the post-combustion process to capture CO2
from engines powered on diesel, petrol and blended biodiesel. Exhaust emissions
were measured using a gas analyzer model called IMR 1000-4 for the various
engines. The engines include: diesel trucks, petrol light commercial buses,
passenger cars, and petrol-biodiesel car. An amine-based adsorbent (MonoethanolAmine)
through Temperature Swing Adsorption (TSA) was used to capture CO2
from the exhaust gases. The CO2 capture process was modeled using
Aspen HYSYS V8.8. A source code was developed using Engineering Equation Solver
(EES) to estimate the mass balance, energy, and exergy analysis of the system.
The results shows that the average CO2 emission was highest for
heavy-duty trucks, accounting for 17.53 volume percent followed by 15.1 volume
percent for light commercial vehicle models from 1980 to 1999. In contrast,
heavy commercial vehicle models from 2000 to 2014 exhibited the lowest CO2
emissions, ranging from 9.8 volume percent to 9.6 volume percent. The system
achieved a CO2 capture rate of 1.9 kg per liter of fuel consumed by
an internal combustion engine, with CO2 capture rates of 92%, 85%,
and 75% observed for diesel trucks, petrol engines, and the biodiesel,
respectively. The energetic efficiency (EE) and exergetic efficiency (ExE)
ranged between 58.30% and 64.14%, and 47% and 53%, respectively. The exergy
destruction (ED) gap between biodiesel and diesel was approximately 45%, while
petrol exhibited a gap of about 32.22%. A sensitivity analysis using an Artificial
Neural network (ANN) was used to determine the response and the factors
influencing the level of CO2 captured from the exhaust fuels. The
results indicated the importance of independent variables: MEAmine (0.96),
temperature (0.84), mass flow (0.77), and pressure (0.38). The performance of
the model was evaluated using the Relative Error (RE); the model achieved a
minimal RE of 0.047 (4.7%). Furthermore, the predictability coefficient (R2)
yielded a value of 0.958, indicating excellent model performance. In
conclusion, CO2 can be captured from greenhouse gas emissions and as
such could help to reduce the effect of climatic change in developing countries
such as Nigeria.
BRIGHT, I (2024). Post-Combustion Process Analysis Of Fuels For Co2 Capture From Tail Pipe Emission Of Low Exhaust Engines Using Temperature Swing Absorption Technology:- Simeon Bright I.. Repository.mouau.edu.ng: Retrieved Nov 10, 2024, from https://repository.mouau.edu.ng/work/view/post-combustion-process-analysis-of-fuels-for-co2-capture-from-tail-pipe-emission-of-low-exhaust-engines-using-temperature-swing-absorption-technology-simeon-bright-i-7-2
IKECHUKWU, BRIGHT. "Post-Combustion Process Analysis Of Fuels For Co2 Capture From Tail Pipe Emission Of Low Exhaust Engines Using Temperature Swing Absorption Technology:- Simeon Bright I." Repository.mouau.edu.ng. Repository.mouau.edu.ng, 29 Apr. 2024, https://repository.mouau.edu.ng/work/view/post-combustion-process-analysis-of-fuels-for-co2-capture-from-tail-pipe-emission-of-low-exhaust-engines-using-temperature-swing-absorption-technology-simeon-bright-i-7-2. Accessed 10 Nov. 2024.
IKECHUKWU, BRIGHT. "Post-Combustion Process Analysis Of Fuels For Co2 Capture From Tail Pipe Emission Of Low Exhaust Engines Using Temperature Swing Absorption Technology:- Simeon Bright I.". Repository.mouau.edu.ng, Repository.mouau.edu.ng, 29 Apr. 2024. Web. 10 Nov. 2024. < https://repository.mouau.edu.ng/work/view/post-combustion-process-analysis-of-fuels-for-co2-capture-from-tail-pipe-emission-of-low-exhaust-engines-using-temperature-swing-absorption-technology-simeon-bright-i-7-2 >.
IKECHUKWU, BRIGHT. "Post-Combustion Process Analysis Of Fuels For Co2 Capture From Tail Pipe Emission Of Low Exhaust Engines Using Temperature Swing Absorption Technology:- Simeon Bright I." Repository.mouau.edu.ng (2024). Accessed 10 Nov. 2024. https://repository.mouau.edu.ng/work/view/post-combustion-process-analysis-of-fuels-for-co2-capture-from-tail-pipe-emission-of-low-exhaust-engines-using-temperature-swing-absorption-technology-simeon-bright-i-7-2