Turbine Controller for Gas Turbine Low Load Emissions and HRSG Life
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Solution Overview
Problem
Lean premixed combustion systems in gas turbines face challenges in maintaining operational stability and emissions control, especially during turndown operations, due to varying ambient conditions and fuel composition, leading to potential system failure and emission excursions.
Innovation Solution
A turbine controller system that uses real-time data from sensors to adjust operational parameters such as fuel-air ratio, fuel distribution, and fuel gas temperature to optimize the operation of the gas turbine and heat recovery steam generator, employing Boolean hierarchical logic to make incremental adjustments based on predefined priorities for optimal emissions, power output, and HRSG life.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-generated harmful factors
If lean premixed combustion systems are used to reduce emissions, then NOx and CO emission levels are reduced to 1-3 ppm, but the operational envelope is substantially reduced and the system becomes sensitive to ambient condition changes
Solution Approach 1:
The system dynamically adjusts fuel distribution and injection parameters in real-time based on ambient conditions and operational load. The control system continuously modifies fuel flow rates, distribution patterns, and injection timing to maintain stable combustion across the full operational range, enabling the combustion system to adapt to varying conditions while preserving low emissions.
Solution Approach 2:
The system employs multiple adjustable parameters including fuel-to-air ratio, fuel distribution coefficients, injection pressure, and premixing ratios. By independently controlling these parameters, the system can optimize combustion characteristics for different operating conditions, expanding the operational envelope while maintaining low emissions through precise parameter management.
2Reliability
If manual tuning adjustments are made to maintain combustion stability, then emissions control is improved, but continuous timely variation and comprehensive utilization of actual dynamics data are not achieved
Solution Approach 1:
The system incorporates continuous feedback from sensors monitoring combustion dynamics, emissions, and operational parameters. This real-time data feeds into the control algorithm, which automatically adjusts fuel distribution and injection parameters to maintain optimal combustion. The closed-loop feedback mechanism enables continuous adaptive tuning without manual intervention, achieving both high reliability and full automation.
Solution Approach 2:
The control system performs self-adjustment by automatically processing sensor data and modifying combustion parameters without external intervention. The system monitors its own performance, detects deviations from optimal operation, and corrects them through automated parameter adjustments, enabling continuous timely variation and comprehensive utilization of actual dynamics data.
3Adaptability or versatility
If fuel composition varies, then heat release changes, but this leads to emissions excursions, unstable combustion, or blow out
Solution Approach 1:
The system dynamically compensates for fuel composition variations by continuously adjusting fuel distribution and injection parameters. When fuel properties change, sensors detect the impact on combustion characteristics, and the control system automatically modifies parameters such as injection timing, pressure, and distribution ratios to maintain stable combustion and prevent emissions excursions or blowout.
Solution Approach 2:
The system employs multiple adjustable parameters including fuel-to-air ratio, injection pressure, and distribution coefficients to compensate for fuel composition changes. By independently controlling these parameters, the system can adapt to varying fuel qualities, maintaining stable heat release and combustion characteristics even when fuel composition varies, thereby preventing emissions excursions and combustion instability.
4Adaptability or versatility
If gas turbines operate in cyclic mode with frequent start/stop, then power generation flexibility is improved, but maintenance requirements increase due to load cycles on equipment
Solution Approach 1:
The system performs preliminary adjustments during startup and shutdown sequences to minimize thermal and mechanical stress on equipment. By pre-conditioning combustion parameters and controlling the rate of change during transitions, the system reduces load cycles on critical components, thereby extending equipment life while maintaining operational flexibility for cyclic power generation modes.
Data Source
AI summary
Provided herein is a system and method for tuning the operation of a turbine and optimizing the mechanical life of a heat recovery steam generator. Provided therewith is a turbine controller, sensor means for sensing operational parameters, control means for adjusting operational control elements. The controller is adapted to tune the operation of the gas turbine in accordance preprogrammed steps in response to operational priorities selected by a user. The operational priorities preferably comprise optimal heat recovery steam generator life.