Long-term operation optimization of circulating cooling water systems under fouling conditions  

作　　者：Jiarui Liang Yong Tian Shutong Yang Yong Wang Ruiqi Yin Yufei Wang 

机构地区：[1]School of Chemical Engineering and Environment,China University of Petroleum,Beijing,102249,China [2]CHN Energy Xinjiang Chemical Co.,LTD,Urumqi,830092,China [3]College of Mechanical and Transportation Engineering,China University of Petroleum,Beijing 102249,China

出　　处：《Chinese Journal of Chemical Engineering》2024年第1期255-267,共13页中国化学工程学报（英文版）

基　　金：Financial support from the National Natural Science Foundation of China (22022816 and 22078358)

摘　　要：Fouling caused by excess metal ions in hard water can negatively impact the performance of the circulating cooling water system(CCWS)by depositing ions on the heat exchanger's surface.Currently,the operation optimization of CCWS often prioritizes short-term flow velocity optimization for minimizing power consumption,without considering fouling.However,low flow velocity promotes fouling.Therefore,it's crucial to balance fouling and energy/water conservation for optimal CCWS long-term operation.This study proposes a mixed-integer nonlinear programming(MINLP)model to achieve this goal.The model considers fouling in the pipeline,dynamic concentration cycle,and variable frequency drive to optimize the synergy between heat transfer,pressure drop,and fouling.By optimizing the concentration cycle of the CCWS,water conservation and fouling control can be achieved.The model can obtain the optimal operating parameters for different operation intervals,including the number of pumps,frequency,and valve local resistance coefficient.Sensitivity experiments on cycle and environmental temperature reveal that as the cycle increases,the marginal benefits of energy/water conservation decrease.In periods with minimal impact on fouling rate,energy/water conservation can be achieved by increasing the cycle while maintaining a low fouling rate.Overall,the proposed model has significant energy/water saving effects and can comprehensively optimize the CCWS through its incorporation of fouling and cycle optimization.

关 键 词：Computer simulation Circulating water system FOULING Concentration cycle OPTIMIZATION Variable frequency drive 

分 类 号：TQ085.2[化学工程]