Gas Turbine Fuel Blend Control Using Knock Feedback
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing gas turbines face challenges in controlling fuel blends to maintain stable combustion dynamics and reduce emissions, particularly with the integration of hydrogen-based fuels, which can lead to increased flashback risks and undesirable combustion conditions, and require substantial reconfiguration or redesign of hardware.
Innovation Solution
A fuel control system that includes a mixer, a fuel blend analyzer, a knock sensor, and a controller to adjust the flow of multiple fuels based on real-time measurements and combustion signals, ensuring the fuel blend remains within operational boundaries.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If hydrogen-based fuels are integrated into DLE combustion systems to achieve wider fuel flexibility, then fuel versatility is improved, but flashback risks and combustion dynamics stability deteriorate
Solution Approach 1:
The system employs real-time feedback control by continuously monitoring combustion parameters (pressure, temperature, emissions) and adjusting fuel flow rates dynamically. The controller receives sensor data and modifies hydrogen and hydrocarbon fuel flows to maintain stable combustion despite hydrogen's high reactivity, thereby resolving the contradiction between fuel flexibility and combustion stability.
Solution Approach 2:
The system changes operational parameters (fuel-to-air ratio, injection timing, mixing rates) in real-time based on the fuel blend composition. When hydrogen content varies, the controller adjusts combustion parameters to compensate for hydrogen's high reactivity, preventing flashback and maintaining stable combustion while enabling wide fuel flexibility.
2Object-generated harmful factors
If fuel scheduling is used to adjust fuel consumption for DLE combustion system operation, then emissions control is improved, but operational efficiency and cost deteriorate over time
Solution Approach 1:
The system replaces static fuel scheduling with dynamic feedback control that continuously monitors emissions and combustion parameters. This real-time adjustment optimizes fuel consumption based on actual operating conditions, maintaining emissions control while improving operational efficiency and reducing costs associated with equipment downtime.
Solution Approach 2:
The system transitions from static fuel schedules to dynamic fuel control that adapts to changing operating conditions. The controller continuously adjusts fuel flows based on real-time sensor data, enabling optimal emissions control and operational efficiency across varying load conditions and fuel blends.
3Reliability
If real-time fuel blend control is implemented with multiple fuels, then combustion stability is improved, but device complexity increases
Solution Approach 1:
The control system is designed to handle multiple fuel types (hydrogen and hydrocarbon fuels) through a unified control architecture. The same controller and sensor system manage different fuel blends by adjusting parameters, avoiding the need for separate control systems for each fuel type and thereby limiting the increase in device complexity.
Solution Approach 2:
The system uses its own sensor measurements (pressure, temperature, emissions) to automatically adjust fuel flows without external intervention. This self-regulating capability simplifies operation and reduces the need for complex external control mechanisms, maintaining combustion stability while limiting system complexity.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Facilitates stable combustion and reduced emissions by enabling real-time control of fuel blends, optimizing durability, emissions, and power output across a wide range of fuels, including hydrogen, with improved accuracy and faster response times.
Implementation Method 1
mixing, in the mixer, the first and second fuels together to obtain a fuel blend
Implementation Method 2
combusting the fuel blend in a combustor
Implementation Method 3
receiving a combustion signal indicative of combustion behavior
Data Source
AI summary
A fuel control system for a turbine engine includes a mixer for mixing first and second fuels to obtain a fuel blend, a fuel blend analyzer, a combustor operable with the fuel blend, and a knock sensor coupled to the combustor. The system also includes a controller configured to: receive a measurement indicative of a composition of the fuel blend; compare the fuel blend measurement to an operational model of the combustor; determine, based on the comparison, a predicted combustion condition in the combustor associated with the fuel blend measurement; control, based on the predicted combustion condition, flow of the first fuel or the second fuel; receive a combustion signal indicative of combustion behavior in the combustor; compare the predicted combustion condition to the combustion signal; and update the operational model if the predicted combustion condition does not match the indicated combustion behavior.