Energy efficiency optimization for water systems in coal mine refrigeration stations based on measured data

LUO Wei

doi:10.11799/ce202510014

Abstract：To address the issues of high energy consumption in the operation of refrigeration station water systems and the difficulty in dynamically adjusting equipment parameters,a data-driven modeling and optimization method based on actual measurements was proposed.First,TRNSYS software was used to construct an operational model of the refrigeration plant water system,including key equipment such as screw chillers,chilled water pumps,cooling towers,and piping networks.Subsequently,actual flow rate data from the chilled water system of a coal mine refrigeration station were measured experimentally to calibrate and adjust the TRNSYS model,ensuring that the simulation accurately reflects real-world operating conditions.Next,the Particle Swarm Optimization(PSO)algorithm was employed to iteratively search for and optimize key operational parameters in the system,including chilled water supply temperature,the number of operating chilled water pumps,and speed ratios,aiming to minimize energy consumption and optimize system energy efficiency.The results show that after applying the PSO algorithm,the overall energy consumption of the system across different load intervals was reduced by an average of 13.97%,validating the effectiveness of the proposed method.In conclusion,this method not only significantly reduces the operational energy consumption of refrigeration plant water systems and improves system energy efficiency but also provides a feasible technical approach for energy efficiency optimization in similar systems,demonstrating great significance for energy conservation,emission reduction,and sustainable development.