Boiler Combustion Model Configuration for Stable Low-Emission Firing

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Solution Overview

Problem

Boilers in coal-fired power plants face inefficiencies in combustion, leading to increased pollution and operational costs due to incomplete combustion and high pollution exhaust gas levels, necessitating a system for optimizing boiler combustion models.

Innovation Solution

A system and method for configuring a boiler combustion model by designing and verifying models using various types such as ARX, NARX, and state space models, incorporating input/output design and modification based on simulated results to enhance combustion efficiency and reduce pollution.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If a boiler combustion model is designed and configured using multiple model types (ARX, NARX, state space models) with systematic input/output design and verification, then the accuracy and stability of the combustion model is improved, but the device complexity and modeling time increase

Engineering Contradiction:
Improvecombustion model accuracyVSAvoidmodeling system complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The combustion model design process is segmented into distinct modules: model type selection (ARX, NARX, state space), input/output design, model generation, verification, and modification. Each module handles a specific aspect of the modeling process, making the complex task manageable and systematic while ensuring high model accuracy through thorough verification at each stage.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The system performs preliminary model verification and simulation before final deployment. Multiple model types are pre-configured and tested to identify the most suitable model for specific combustion conditions. This preliminary action ensures that only verified, accurate models are implemented, reducing the need for later modifications and maintaining high precision.

Inventive Principle:
Principle #10Preliminary action

2Object-generated harmful factors

If combustion efficiency is increased through optimized boiler combustion models, then pollution exhaust gas levels are reduced, but the operational cost for model configuration and verification increases

Engineering Contradiction:
Improvepollution exhaust gasVSAvoidmodel configuration cost
Core Design Contradiction:
Object-generated harmful factorsVSUse of energy by stationary object

Solution Approach 1:

The system implements a feedback mechanism where model verification results and simulation outcomes are used to automatically adjust and optimize combustion parameters. This closed-loop approach continuously improves combustion efficiency and reduces pollution while minimizing the need for manual intervention and expensive reconfiguration, as the system self-optimizes based on performance data.

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The system optimizes combustion by dynamically adjusting key parameters such as air-fuel ratio, combustion temperature, and oxygen levels based on real-time conditions. By changing these parameters through verified models, the system achieves better combustion efficiency and lower emissions without requiring expensive hardware modifications or frequent manual tuning.

Inventive Principle:
Principle #35Parameter changes

3Productivity

If incomplete combustion is reduced through accurate combustion modeling, then combustion efficiency is improved, but the complexity of model verification and modification increases

Engineering Contradiction:
Improvecombustion efficiencyVSAvoidverification process complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The system creates simplified digital copies (virtual models) of the boiler combustion process using ARX, NARX, and state space models. These virtual models replicate combustion behavior without requiring physical experimentation, allowing thorough verification and testing of different combustion scenarios. This copying approach enables accurate efficiency optimization while reducing the complexity of physical verification procedures.

Inventive Principle:
Principle #26Copying

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 enables more accurate and stable boiler combustion models, improving combustion efficiency and reducing pollution, thereby lowering operational costs and treatment expenses.

Implementation Method 1

Boilers in coal-fired power plants use exothermic reactions from coal burning to heat water and produce steam for power generation

Methodology Applied
Scientific EffectCombustion: Combustion

Implementation Method 2

Boilers in coal-fired power plants use exothermic reactions from coal burning to heat water and produce steam for power generation

Methodology Applied
Scientific EffectExothermic reaction: Exothermic Reaction

Data Source

PatentUS11371696B2System and method for configuring boiler combustion model
Publication Date: 2022.06.28 DOOSAN HEAVY IND & CONSTR CO LTD
  • US11371696B2 patent drawing
  • US11371696B2 patent drawing
  • US11371696B2 patent drawing

AI summary

A system and method for configuring a boiler combustion model are provided. The system for configuring the boiler combustion model may include a model generator configured to generate the boiler combustion model using, as input/output data, data obtained based on measured data, analysis data, and controller information, a model simulator configured to simulate the generated boiler combustion model and output simulated results, and a model modifier configured to evaluate the boiler combustion model based on the simulated results and generate modification information for modifying the boiler combustion model based on the generated boiler combustion model and corresponding evaluated results.