Gas Turbine Operating Point Selection via Kriging Interpolation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The manual selection of operating points for gas turbines is time-consuming, requires significant experience, and is inefficient in reacting to variations due to different environmental conditions and customer requirements, leading to inconsistent performance across identical gas turbines.
Innovation Solution
An automated method using the kriging interpolation method to select operating points based on known parameter combinations, balancing exploration and information utilization to efficiently find optimized settings for manipulated variables such as fuel flow and burner distribution, while considering disturbance variables like ambient conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual selection of operating points is used, then experienced operators can select suitable points, but the process is extremely time-consuming and requires great experience
Solution Approach 1:
The system performs automatic self-optimization by using the gas turbine itself to evaluate operating points through automated measurement of controlled variables, eliminating the need for manual expert intervention while maintaining reliable selection accuracy
Solution Approach 2:
The manual expert system is replaced by an automated computer-based optimization system that uses algorithms to evaluate operating points and select optimal settings, substituting human expertise with automated computational methods
2Manufacturing precision
If manual selection of operating points is used, then detailed adjustments can be made, but it is difficult to react to unforeseen deviations in controlled variables
Solution Approach 1:
The system automatically measures controlled variables during gas turbine operation and uses this feedback to evaluate operating points and adjust settings, enabling real-time adaptation to deviations while maintaining precise parameter control
Solution Approach 2:
The operating points are not fixed but dynamically adjusted based on automated evaluation of controlled variables and environmental conditions, allowing the system to adapt to changing conditions while maintaining precision
3Adaptability or versatility
If operating points are selected separately for each gas turbine, then customized settings can be achieved, but the process is extremely time-consuming
Solution Approach 1:
Each gas turbine automatically determines its own optimal operating points through automated evaluation, eliminating the need for time-consuming manual customization while maintaining tailored settings for each unit
Solution Approach 2:
The system efficiently explores the parameter space by systematically varying manipulated variables and evaluating their impact on controlled variables, enabling quick customization for each gas turbine without extensive time investment
Data Source
AI summary
The invention relates to a method for selecting operating points of a gas turbine while taking into consideration at least one controlled variable, the operating points being defined at least by parameter combinations of manipulated variables, characterized in that the operating points are automatically selected on the basis of already known parameter combinations by using an interpolation method, the Kriging interpolation method being used as the interpolation method.