In the realm of gas turbines, predicting emissions of carbon monoxide (CO) and nitrogen oxides (NOx) holds significant importance for regulatory compliance and environmental stewardship. This project focuses on developing predictive models that can accurately forecast CO and NOx emissions from gas turbines under varying operating conditions. By analyzing key factors such as combustion temperature, fuel composition, and turbine load, these models aim to provide valuable insights into emission levels. The ability to predict CO and NOx emissions enables operators to proactively adjust operating parameters to minimize environmental impact while maintaining efficient turbine performance. Through this predictive approach, industries can uphold regulatory standards, mitigate environmental risks, and optimize energy production processes.
