Improving waste-incineration energy recovery efficiency using a reverse calculation algorithm to estimate waste...

Area of Science:

• Environmental Engineering
• Chemical Engineering
• Energy Recovery

Background:

• Waste heating value and composition are critical for incinerator operation but highly variable, making prediction difficult.
• Accurate prediction is essential for optimizing waste incineration processes and energy recovery.

Purpose of the Study:

• To develop a novel method for deriving waste heating value and composition using operating data and a physics-based model.
• To create a process simulation model for predicting waste incinerator performance.
• To propose an optimized operating strategy for enhanced energy recovery.

Main Methods:

• A reverse calculation algorithm utilizing operating data and a physics-based model was developed.
• A process simulation model was employed to predict system performance.
• Heating values and compositions were derived for a target incinerator.

Main Results:

• The novel method successfully derived waste heating values and compositions.
• A process simulation predicted improved energy recovery efficiency.
• The proposed operating strategy increased energy recovery by approximately 10% compared to existing operations.

Conclusions:

• The developed methodology enables accurate calculation of waste heating value and composition.
• This approach facilitates the establishment of optimal waste incinerator operations.
• The findings are applicable to various waste incineration systems, enhancing energy recovery.