Study on site selection of municipal solid waste incineration plant based on swarm optimization algorithm.

Area of Science:

• Environmental Engineering
• Optimization Algorithms
• Waste Management

Background:

• Municipal solid waste (MSW) incineration plants are crucial for waste management.
• Effective site selection is vital for plant efficiency and environmental impact.
• Existing models may not fully account for diverse influencing factors.

Purpose of the Study:

• To propose a novel site selection model for MSW incineration plants.
• To enhance optimization algorithm performance for improved site selection accuracy.
• To integrate economic, environmental, population, and operational cost factors into the model.

Main Methods:

• Development of an improved swarm optimization algorithm by hybridizing whale optimization and particle swarm optimization.
• Verification of the hybrid algorithm's performance using single and multi-peak functions.
• Application of the developed location model to a case study for an Anshan MSW incineration plant.

Main Results:

• The hybrid algorithm demonstrated good performance in function verification.
• The proposed location model successfully identified a reasonable site for the Anshan MSW incineration plant.
• The model effectively considered multiple factors including economy, environment, population, and operation cost.

Conclusions:

• The improved swarm optimization algorithm is effective for complex optimization tasks.
• The novel site selection model provides a robust framework for MSW incineration plant location.
• The study successfully identified a suitable location for the Anshan MSW incineration plant, validating the model's practicality.