Energy Conservation and Emission Reduction Control Method for Urban Industrial Zones Based on Multi Objective Particle Swarm Optimization
In order to reduce energy consumption and emissions in urban industrial areas,multi objective particle swarm optimization was introduced to conduct research on energy-saving and emission reduction control method in urban industrial areas.Based on the energy usage and emission characteristics of urban industrial zones,multiple optimization goals for energy conservation and emission reduction were identified.A multi-objective energy-saving and emission reduction control model for urban industrial zones was established under multiple constraints.Using multi objective particle swarm optimization to optimize and improve the model,combined with energy-saving and emission reduction control model,introducing optimal compromise solution theory to achieve optimal allocation control of energy-saving and emission reduction load in urban industrial areas.Through comparative experiments,it was proven that the application of the new control method reduced energy consumption and emissions in urban industrial areas,achieving the goal of energy conservation and emission reduction.
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