矿山多级机站通风系统风机优化选型方法  

Optimization of Fan Selection for Multi-stage Fan Station Ventilation System in Mines

作　　者：钟德云 刘雨龙[2] 王李管 ZHONG Deyun;LIU Yulong;WANG Liguan(Changsha DIMINE Co.,Ltd.,Changsha 410221,Hunan,China;School of Resources and Safety Engineering,Central South University,Changsha 410083,Hunan,China)

机构地区：[1]长沙迪迈科技股份有限公司,湖南长沙410221 [2]中南大学资源与安全工程学院,湖南长沙410083

出　　处：《黄金科学技术》2024年第4期666-674,共9页Gold Science and Technology

基　　金：国家重点研发计划项目“超大型深井矿山高效绿色开采技术与智能装备”(编号:2022YFC2904105)资助。

摘　　要：为了确定多级机站风机的最优不平衡风压分配方式,提出了一种以通风风机功率最小、最佳匹配风机风量和最佳匹配风机风压为目标的多级机站风机优选多目标优化模型,可用于确定各装机点所需的优选风机型号及风机安装角度。该模型既获得了近似满足风量要求的优选方案,也避免了非线性模型求解不收敛的问题,并在大规模多级机站通风系统中表现出高效的求解能力。此外,提出的多风机优选方法通过数学模型构建各级机站之间的相互约束关系,在风机工况范围内约束各装机点的不平衡风压,以解决各级机站风机风压合理分配的问题,避免因风机风压分配不合理导致风机选型失败。实例验证结果表明本研究的多级机站通风系统风机选型方案是可靠的。The utilization of multi-stage fan station ventilation technology is crucial in the ventilation system of non-coal mines,particularly as mining depths increase.Traditional large main fan ventilation methods may struggle to adequately meet the ventilation requirements of deep mining operations,highlighting the significance of this technology.The multi-stage fan station ventilation system allows for the precise control of air volume and pressure in individual partitions by adjusting the operational status of fans at each level of the station.This method enhances the precision of adjustment and flexibility of control in the ventilation system,increases its efficiency,and decreases energy consumption.The conventional fan optimization approach assumes that each circuit accommodates only one air volume branch.In contrast,the ventilation network solution method utilizes the fan as a residual tree branch,enabling the direct allocation of unbalanced air pressure(fan pressure)to the residual tree branches of each autonomous circuit for fan optimization.In a multi-fan multi-stage station ventilation system,a single circuit may contain multiple installed air volume branches,rendering the traditional fan optimization method ineffective.Therefore,it is necessary to develop a fan optimization method suitable to multi-stage fan stations.Furthermore,due to the mutual influence between the installed branches in the multi-fan multi-stage fan station ventilation fan system,it is necessary to further consider the logical problem of air volume between the installed branches and the optimal allocation of unbalanced wind pressure(fan pressure).In order to determine the optimal unbalanced wind pressure distribution method for multi-stage fan station,this study proposed a multi-objective optimization model for fan selection of multi-stage fan stations,aimed at achieving the minimum fan power consumption while optimizing the fan air volume and pressure.The proposed model assists in determining the most suitable fan model and installation a

关 键 词：矿井通风 多级机站通风系统 风机优选 通风优化 多风机选型 多目标优化 

分 类 号：TD72[矿业工程—矿井通风与安全]