Device and method for selecting optimal boiler combustion model
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Solution Overview
Problem
Coal-fired thermal power plants face issues with contaminated exhaust gas and combustion inefficiency due to exothermic reactions, leading to increased processing costs and reduced power generation efficiency.
Innovation Solution
A device and method for selecting an optimal boiler combustion model from a plurality of models by generating verification data and calculating errors using specific equations to determine the model with the least error, allowing for updating of stored models to improve combustion efficiency and reduce contamination.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple boiler combustion models are maintained in memory, then model selection flexibility and combustion optimization capability are improved, but memory resource consumption and system complexity increase
Solution Approach 1:
The patent implements dynamic model management where the system automatically selects and updates combustion models based on real-time boiler operating conditions. The model library is dynamically maintained with addition of new models and deletion of obsolete ones, allowing the system to adapt to changing conditions without manual intervention while managing memory resources efficiently.
Solution Approach 2:
The patent segments the combustion model library into manageable components, storing multiple distinct combustion models in memory rather than using a single monolithic model. This segmentation allows the system to select appropriate models for different operating conditions, improving versatility while organizing complexity into discrete, manageable units.
2Measurement precision
If verification data generation and error calculation processes are implemented, then model accuracy and combustion efficiency are improved, but computational time and processing resources increase
Solution Approach 1:
The patent generates verification data in advance and performs error calculations for multiple combustion models before actual combustion operations. By pre-computing model accuracies and maintaining verified model performance data, the system reduces real-time computational requirements while ensuring high model selection accuracy.
Solution Approach 2:
The patent implements a feedback mechanism where model output values are continuously verified against actual boiler performance data. Error calculations provide feedback on model accuracy, allowing the system to select optimal models based on proven performance rather than relying solely on theoretical predictions, thereby improving accuracy while managing computational overhead.
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
The solution effectively reduces contaminated exhaust gas and enhances combustion efficiency by selecting and updating the optimal boiler combustion model, thereby lowering operational costs and improving power generation performance.
Implementation Method 1
The processor may be further configured to compare an output value of each of the first to third boiler combustion models with verification data generated for model verification, and to select, as the optimal boiler combustion model, a boiler combustion model with the least error from the latest data.
Data Source
AI summary
A device and method select an optimal boiler combustion model from among a plurality of boiler combustion models for boiler combustion to update a memory in which the boiler combustion models are stored. The device includes a memory configured to store first boiler combustion models that are derived in advance and second boiler combustion models that are derived in advance; and a processor configured to select an optimal boiler combustion model from among the first and second boiler combustion models and to update the memory according to characteristics of the selected optimal boiler combustion model. The processor may further generate a third boiler combustion model for the combustion of the boiler to select the optimal boiler combustion model from among the first to third boiler combustion models and verification data for model verification through the latest data measured in the boiler and data on basic characteristics of the measured data.