Waste-to-Energy Plants: Flue Gas Treatment Optimization

Challenges & Objectives

Waste-to-Energy (WtE) plants face significant operational and environmental constraints due to the variability of incoming waste and process instability.

Key challenges:

 

  • Variability in incoming waste streams leading to unstable and unpredictable emissions
  • Emission peaks and explosions causing sudden pressure fluctuations
  • Risk of exceeding Emission Limit Values (ELVs), with regulatory penalties based on 30-minute compliance windows
  • Overconsumption of reagents due to suboptimal control strategies
  • Difficulty in anticipating process drifts and operational anomalies
  • Lack of global visibility on environmental and industrial performance

Objectives :

 

  • Sustainably reduce operating costs
  • Ensure environmental compliance
  • Anticipate process drifts and deviations
  • Stabilize emissions
  • Optimize plant control and regulation
  • Establish long-term industrial performance

DV DIGITAL Solution

DV DIGITAL deployed a solution based on advanced algorithms for real-time prediction, detection, and optimization:

  • Peak and explosion detection algorithms
    → automatic control loop adjustments

  • End-of-day emissions forecasting algorithms
    → proactive anticipation and parameter tuning

  • Global plant monitoring, including:

    • consumption

    • emissions

    • process operations

  • Detection of operational anomalies

  • Dynamic adaptation of algorithm parameters

  • Integration with existing industrial systems:

    • DCS

    • OPC

    • REST APIs

    • HTTPS

  • Centralized supervision and visualization of corrections and performance

Business Impact & Benefits

  • Faster mitigation of emission peaks
  • Significant reduction in reagent consumption
  • Reduced risk of exceeding Emission Limit Values (ELVs)
  • Lower environmental penalty exposure
  • Optimized operating costs
  • Improved process stability
  • Continuous monitoring of operational anomalies
  • Simplified and centralized performance tracking
  • Shift from reactive to predictive operations
  • Sustainable improvement of environmental performance
  • Secured regulatory compliance
  • Long-term industrial optimization