Gas Turbine Combustion Auto-Tuner for Emission Control
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Solution Overview
Problem
Conventional combustion systems in gas turbines require frequent manual tuning to adjust fuel conditions and distribution due to changing ambient conditions and equipment degradation, leading to unstable operation and increased emissions, which can result in costly maintenance and permit violations.
Innovation Solution
An automated system that includes a combustion auto-tuner with an optimization system using empirical models and machine learning to adjust fuel splits, fuel temperature, and fuel/air ratio in real-time based on sensor data from the combustion system, optimizing performance and reducing emissions and dynamics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual tuning is performed frequently to adjust fuel conditions and distribution, then combustion performance and emission levels are improved, but operational time and maintenance costs increase
Solution Approach 1:
The system enables self-service by implementing an automated combustion tuning system that continuously monitors combustion parameters and autonomously adjusts fuel distribution and combustion conditions without requiring manual intervention, thereby maintaining optimal performance while eliminating operational downtime for tuning
Solution Approach 2:
The system implements continuous feedback by monitoring combustion parameters such as emissions, combustion stability, and thermal NOx production in real-time, and using this feedback to automatically adjust fuel distribution and combustion conditions to maintain optimal performance
2Object-generated harmful factors
If manual tuning is performed to adjust fuel distribution, then emission levels are improved, but device complexity and tuning costs increase
Solution Approach 1:
The system replaces manual mechanical tuning operations with an automated control system that uses sensors, processors, and actuators to monitor and adjust combustion parameters, thereby reducing the complexity of manual tuning operations while maintaining emission control effectiveness
Solution Approach 2:
The automated system performs self-adjustment of fuel distribution and combustion conditions based on real-time monitoring, eliminating the need for complex manual tuning procedures and specialized technician intervention
3Stability of the object's composition
If fuel distribution is adjusted frequently to account for changing conditions, then combustion stability is improved, but productivity and operational efficiency decrease
Solution Approach 1:
The system ensures continuous optimization by continuously monitoring combustion parameters and making real-time adjustments to fuel distribution without interrupting gas turbine operation, thereby maintaining combustion stability while maximizing operational efficiency
Solution Approach 2:
The system uses continuous feedback from sensors monitoring combustion stability parameters to automatically adjust fuel distribution in real-time, maintaining optimal combustion conditions without requiring operational shutdowns or interruptions
Data Source
AI summary
A system that includes: a gas turbine having a combustion system; a control system operably connected to the gas turbine for controlling an operation thereof; and a combustion auto-tuner, which is communicatively linked to the control system, that includes an optimization system having an empirical model of the combustion system and an optimizer; sensors configured to measure the inputs and outputs of the combustion system; a hardware processor; and machine-readable storage medium on which is stored instructions that cause the hardware processor to execute a tuning process for tuning the operation of the combustion system. The tuning process includes the steps of: receiving current measurements from the sensors for the inputs and outputs; given the current measurements received from the sensors, using the optimization system to calculate an optimized control solution for the combustion system; and communicating the optimized control solution to the control system.