An EGR performance evaluation and decision-making approach based on grey theory and grey entropy analysis

Area of Science:

• Marine Engineering
• Environmental Science
• Combustion Science

Background:

• Exhaust Gas Recirculation (EGR) is crucial for reducing NOX emissions in marine diesel engines.
• Current methods for evaluating EGR performance lack clear theoretical guidance for optimization.
• Balancing engine combustion and emission performance in EGR systems is a complex challenge.

Purpose of the Study:

• To propose an optimized comprehensive assessment method for evaluating and determining the optimal rate of Exhaust Gas Recirculation (EGR).
• To address the lack of clear theoretical guidance in current EGR performance assessment and optimization.
• To establish a decision-making model for achieving an optimal compromise between diesel engine combustion and emission performance.

Main Methods:

• Utilized multi-objective grey situation decision theory to establish an initial decision-making model for EGR parameters.
• Transformed the compromise between combustion and emission performance into a target weight problem.
• Applied an optimized target weight algorithm integrating grey relation theory and grey entropy analysis for comprehensive evaluation.

Main Results:

• Developed a novel comprehensive evaluation and decision-making model for EGR systems.
• Successfully applied the proposed method to a TBD234V12 turbocharged diesel engine.
• Demonstrated the feasibility of the method in providing theoretical support for EGR optimization.

Conclusions:

• The proposed multi-objective grey assessment method offers a robust framework for EGR optimization in marine diesel engines.
• The method effectively balances engine combustion efficiency and emission reduction targets.
• Provides a valuable reference for future research and practical application in marine diesel engine emission control.