基于自适应权重粒子群的污水提热系统优化策略

doi:10.13229/j.cnki.jdxbgxb.20250542

Abstract

Abstract:

To address the issue of reduced biochemical reaction efficiency in wastewater treatment plants located in frigid zones of China during winter， caused by excessively low temperatures of raw sewage， a variable-frequency control strategy based on an adaptive weight particle swarm optimization （PSO） algorithm was proposed. Using a wastewater treatment plant in a northeastern Chinese city as a prototype， with the goal of lowest annual operating energy consumption of the system， the frequency of the sewage pump on the heat source side was optimized for different raw sewage temperatures throughout the year. Simulation runs comparing this system's variable flow rate control scheme with constant flow rate control scheme were conducted. The simulation results demonstrated the effectiveness of the proposed algorithm.

Key words: environmental engineering, sewage heat pump, TRNSYS, particle swarm optimization algorithm, energy consumption analysis

CLC Number:

X703.1

Hui XU,Jia-le XIA,Zhen-yao MA,De-jun BIAN,Sheng-shu AI. Optimization strategy for sewage heat extraction system based on adaptive weight particle swarm[J].Journal of Jilin University(Engineering and Technology Edition), 2025, 55(9): 3049-3055.

Figures/Tables 6

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原生污水温度/℃	生化反应池污水温度/℃	原生污水温度/℃	生化反应池污水温度/℃
8	16.65	12	20.89
9	17.71	13	21.94
10	18.77	14	23.01
11	19.83

Optimization strategy for sewage heat extraction system based on adaptive weight particle swarm

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