基于智能控制的脱硝系统喷氨优化策略研究

Study on Optimization Strategy of Ammonia Injection in Denitration System Based on Intelligent Control

摘要

随着环保要求的不断提高，燃煤电厂烟气脱硝系统的精准控制显得尤为重要。传统喷氨控制方法在应对复杂工况时存在明显局限性，常导致氨气利用率偏低和排放指标波动。本文基于智能控制理论，深入研究脱硝系统喷氨优化问题，通过建立智能控制模型，设计优化控制策略，构建完善的控制体系框架。该研究有效解决了传统控制方法在响应速度和控制精度方面的不足，实现了在保证排放达标的同时显著降低氨逃逸率，提高了系统运行的稳定性和经济性，为脱硝系统的优化运行提供了新的技术手段和方法支持。

Abstract

With the continuous improvement of environmental protection requirements, precise control of flue gas denitrification systems in coal-fired power plants has become increasingly crucial. Traditional ammonia injection control methods exhibit significant limitations under complex operating conditions, often resulting in low ammonia utilization efficiency and fluctuating emission indicators. Based on intelligent control theory, this study conducts an in-depth investigation into ammonia injection optimization for denitrification systems. By establishing an intelligent control model, designing optimized control strategies, and constructing a comprehensive control framework, the research effectively addresses the shortcomings of conventional control methods in response speed and control accuracy. The approach achieves significant reduction in ammonia slip rate while ensuring compliance with emission standards, thereby enhancing system operational stability and economic efficiency. This provides new technical means and methodological support for optimizing denitrification system operations.

关键词

脱硝系统 / 喷氨优化 / 智能控制 / 运行优化

Key words

Denitration system / Ammonia injection optimization / Intelligent control / Operation optimization

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