Gas Turbine Clearance Control via Simulation Thresholds

Solution Overview

Problem

Existing gas turbine systems face challenges in automatically controlling the position of the rotor to minimize gaps between the rotor and housing efficiently, as permanent gap measurement is technically difficult and expensive, necessitating a Hydraulic Clearance Optimization (HCO) logic that optimally uses gap settings during load changes.

Innovation Solution

A method using a simulation program to create a data set that determines the dependence of gap size on operating parameters, setting threshold values, and activating/deactivating gap minimization based on actual parameter values within defined ranges, allowing for continuous optimization without active gap measurement.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If continuous measurement of the operating clearance is implemented, then the control precision of gap minimization is improved, but the device complexity and cost increase significantly

Engineering Contradiction:
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent creates a simulated measurement system that copies the behavior of a physical clearance measurement system. Instead of measuring actual clearance continuously, the system uses simulation data that replicates clearance characteristics based on operating parameters, eliminating the need for complex physical measurement infrastructure while maintaining control precision

Inventive Principle:
Principle #26Copying

Solution Approach 2:

The patent replaces the mechanical/physical clearance measurement system with a computational model. The simulation program substitutes direct physical measurement with mathematical calculations based on operating parameters, transforming a complex mechanical measurement problem into a simpler computational solution

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

2Loss of energy

If the gap minimization is activated during all operating conditions, then the gas turbine efficiency is maximized, but the reliability decreases due to excessive wear during transient phases

Engineering Contradiction:
Core Design Contradiction:
Loss of energyVSReliability

Solution Approach 1:

The patent implements dynamic control of gap minimization by adjusting the rotor position based on real-time operating conditions. The system activates gap minimization only during steady-state high-load operation and deactivates it during transient phases or low-load conditions, optimizing the balance between efficiency and component protection

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The patent changes the operational parameters of the gap minimization system based on operating conditions. By monitoring operating parameters and adjusting the minimization activation state accordingly, the system adapts to different operational phases, maintaining efficiency during appropriate conditions while protecting components during vulnerable phases

Inventive Principle:
Principle #35Parameter changes

3Loss of energy

If the rotor position is adjusted frequently to minimize gaps, then the gas turbine efficiency is improved, but the device complexity increases due to continuous hydraulic adjustment

Engineering Contradiction:
Core Design Contradiction:
Loss of energyVSDevice complexity

Solution Approach 1:

The patent performs preliminary simulation and analysis to determine optimal gap minimization strategies before actual operation. By pre-calculating the relationship between operating parameters and optimal rotor positions, the system eliminates the need for complex real-time control algorithms, reducing control system complexity while maintaining efficiency

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system uses readily available operating parameter data from the gas turbine's normal operation to control gap minimization, rather than requiring separate complex measurement and control systems. The existing operational data serves the dual purpose of controlling both power output and clearance optimization

Inventive Principle:
Principle #25Self-service

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

This approach results in precise activation of the HCO function, increasing operational efficiency by optimizing gap settings and reducing complexity, while being independent of active gap measurement, thus enhancing gas turbine performance.

Implementation Method 1

a gap-adjusting device, in particular a hydraulic one

Methodology Applied
Scientific EffectHydraulic force: Hydraulic Press

Data Source

PatentEP3704354B1Method for controlling a clearance minimisation of a gas turbine
Publication Date: 2022.06.08
  • EP3704354B1 patent drawingFigure 1~2

AI summary

The invention relates to a method for controlling a gap minimization for an adjustable gap between a rotor and a housing of a gas turbine. This is carried out on the basis of a correlation extracted from simulation data. If the actual value (PI) lies below the lower threshold (PU), the gap minimization is deactivated, whereas if the actual value lies above the upper threshold (PO), the gap minimization is activated. The gap minimization is activated between the thresholds (PU, PO) if the actual value lies above the threshold (PG) but is deactivated if the actual value (PI) lies below the threshold (PG).