UTPediaS Jayaraja, Jeevanesan (2024) Carbon Monoxide Prediction Using Artificial Intelligence for Dry Low Emission Gas Turbine. [Final Year Project] (Submitted)
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Final year Project II (FYP II)-Dissertation Report-Jeevanesan S Jayaraja-20000558 master copy - JJGypsy.pdf
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Abstract
This study explores the prediction of Carbon Monoxide (CO) emissions from Dry Low Emission (DLE) gas turbines through the application of artificial intelligence (AI) methodologies. Accurate CO emission prediction is essential for reducing environmental impact and ensuring compliance with increasingly stringent regulations.
| Item Type: | Final Year Project |
|---|---|
| Subjects: | T Technology > TP Chemical technology |
| Departments / MOR / COE: | Engineering > Chemical |
| Depositing User: | Mrs SHARIFAH FAHIMAH SAIYED YEOP |
| Date Deposited: | 19 Feb 2025 04:12 |
| Last Modified: | 19 Feb 2025 04:12 |
| URI: | http://utpedia.utp.edu.my/id/eprint/30512 |
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