Sensor configuration optimization for source term estimation of time-varying emissions

Key Points

• Effective sensor configuration reduces estimation error in emissions monitoring, enhancing accuracy.
• Optimized configurations can lead to a 25% improvement in source estimation under variable conditions.
• Observational analysis of sensor data highlights the role of configuration in emission assessment accuracy.
• The findings may enable better emission regulations and monitoring efforts in dynamic industrial contexts.