PLC Application Example: Waste Incineration Power Generation Control, Efficiency Increased by 20%!

📚 Reading Time: 8 minutes | Practical Value: Enhancing Waste Incineration Power Generation Efficiency

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Have you encountered these issues?

– Is the waste incineration power generation efficiency always unable to break through the bottleneck?

– Are there frequent coordination errors between DCS and PLC?

– Do temperature fluctuations in the incinerator lead to unstable power generation?

– Is the response speed of the flue gas treatment system slow?

⚠️ Industry Pain Points

1. 1. Unstable calorific value of waste leads to low incineration efficiency

1. 2. Complex multi-system coordinated control with response delays

1. 3. Environmental indicators are difficult to maintain compliance

🎯 Key Points of This Article

1. 1. Intelligent combustion control strategy optimization

1. 2. DCS-PLC coordinated control solution

1. 3. Real-time optimization of key parameters technology

▎ Step 1: System Architecture Design

Adopt alayered control architecture for precise control. The PLC is responsible for field device control, while the DCS is responsible for process optimization.

📋 Key Operations:

• ConfigureSiemens S71500 as the main control PLC

• Establishfiber optic ring network to ensure communication reliability

• Achieve1ms level response for real-time control

💡 Expert Tip: UsingOPC UA protocol can significantly enhance system integration.

▎ Step 2: Intelligent Combustion Optimization Control

Enhance incineration efficiency throughfuzzy PID algorithm.

📋 Key Operations:

• Writeadaptive PID control program

• Setfurnace temperature gradient control algorithm

• Achievereal-time adjustment of feed amount

⚠️ Note: Furnace temperature fluctuations must not exceed±15℃, otherwise it will affect power generation efficiency.

▎ Step 3: Flue Gas Treatment System Optimization

Adopt amulti-loop linkage control strategy.

📋 Key Operations:

• ConfigureNOx online monitoring feedback

• AchieveSNCR denitrification automatic control

• Optimizebag filter cleaning cycle

▎ Step 4: Power Generation Efficiency Improvement Plan

Implementdynamic optimization of steam parameters.

📋 Key Operations:

• Real-time optimization of turbine operating conditions

• Intelligent adjustment of condensate system

• Grid connection control of generator set

📊 Practical Application

After adopting this plan, a municipal waste power plant has achieved a15% increase in daily processing capacity and a 20% increase in power generation efficiency, with all environmental indicators meeting standards.

❓ Troubleshooting

Q1: How to solve the problem of fluctuating waste calorific value?

A1: Useonline calorific value analysis + adaptive feed amount adjustment solution.

Q2: How does the system ensure safety?

A2: Implementtriple safety interlock + automatic fault diagnosis mechanism.

💻 Brand Compatibility Key Points

• Siemens S7 Series: Excellent communication performance, suitable for large projects

• Rockwell ControlLogix: Flexible programming, easy maintenance

• Mitsubishi iQR Series: Fast response speed, suitable for high-speed control

📝 Summary

1. 1. Reasonable planning ofsystem architecture is key

1. 2. Intelligent algorithms help improve efficiency

1. 3. Real-time monitoring ensures system stability