Boiler Combustion Optimization Management System
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Solution Overview
Problem
Coal-fired power plant boilers face inefficiencies and increased costs due to unstable combustion conditions, leading to excessive nitrogen oxide production and potential emergency shut-downs, necessitating a technology to determine the optimal state of the boiler for combustion optimization.
Innovation Solution
An apparatus and method for managing combustion optimization, comprising a data collector, combustion controller, and executor that analyze real-time data to determine if combustion optimization is necessary, using a management layer to generate control commands for the combustion controller, and an optimal layer to select the best combustion model and controller for optimal target value calculation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If combustion optimization is performed continuously, then combustion efficiency is improved, but system stability deteriorates due to inappropriate optimization under unstable conditions
Solution Approach 1:
The system performs preliminary assessment of boiler conditions through multiple analysis methods (operation data analysis, state binary value analysis, knowledge-based analysis) before initiating combustion optimization. This ensures optimization is only performed when conditions are appropriate, preventing instability while maintaining efficiency when possible.
Solution Approach 2:
The system continuously monitors boiler operation data and uses feedback from multiple analysis layers (combustion control management, boiler management, optimal layer) to dynamically determine whether to perform optimization. This feedback mechanism prevents inappropriate optimization actions that would compromise system stability.
2Productivity
If combustion optimization is performed without proper condition assessment, then combustion efficiency improves, but harmful emissions increase due to unstable combustion
Solution Approach 1:
The system performs preliminary condition assessment through operation data analysis, state binary value analysis, and knowledge-based analysis before executing combustion optimization. This ensures optimization occurs only under stable conditions, improving efficiency while preventing excessive nitrogen oxide generation from unstable combustion.
3Measurement precision
If multiple analysis methods are used to determine optimization conditions, then decision accuracy improves, but system complexity increases
Solution Approach 1:
The system segments the analysis into distinct functional layers: combustion control management (analyzing operation data and state binary values), boiler management (analyzing boiler-specific parameters), and optimal layer (determining final optimization decisions). This segmentation improves determination accuracy while organizing complexity into manageable, modular components.
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 solution allows for efficient and appropriate combustion optimization of the boiler, reducing inefficiencies and costs by ensuring optimization only when necessary, thereby stabilizing boiler operations and minimizing nitrogen oxide production.
Implementation Method 1
A boiler of a coal-fired power plant heats water by using the exothermic reaction that occurs during coal combustion
Data Source
AI summary
An apparatus for managing combustion optimization is provided. The apparatus for managing combustion optimization includes a data collector configured to collect real-time data that is measured in real time from a boiler system including a boiler and a combustion controller configured to control combustion of the boiler, a management configured to determine whether to perform combustion optimization of the boiler based on the real-time data, and an executor configured to generate a control command and transmit the control command to the combustion controller to perform the combustion optimization of the boiler in response to determining that the combustion optimization of the boiler is possible.