首页|基于钻井储能系统的热管理仿真与风道结构优化

基于钻井储能系统的热管理仿真与风道结构优化

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钻井储能系统在油气工业电气化中具有重要作用.储能电池作为核心部件存在热失控风险,储能系统的热管理至关重要.为提高电能利用效率,促进石油工业的能源替代和节能减排,解决集装箱式电池储能系统内部电池紧密排布且环境相对封闭而导致的温升问题,采用STAR-CCM软件对钻井储能系统进行热管理分析.通过建立系统的三维模型来提取传热和散热路径.运用计算流体动力学(CFD)仿真技术对系统内的流场和温度场进行详细分析.通过CFD仿真技术成功分析了钻井储能系统内部的流场和温度场,识别出热点区域并分析了温升的原因.基于仿真结果,对风道进行了优化设计,有效改善了电池排布区域的散热条件,降低了系统的整体温度.研究结果可为储能系统的热管理设计提供重要参考依据.
Thermal Management Simulation and Air Duct Structure Optimization Based on Drilling Energy Storage System
The drilling energy storage system plays an important role in the electrification of oil and gas indus-try.As a core component,energy storage batteries have a risk of thermal runaway,and the thermal management of energy storage system is crucial.In order to improve the efficiency of electricity utilization,promote energy substi-tution and energy saving and emission reduction in the petroleum industry and solve the temperature rise problem caused by the tight arrangement of batteries inside the containerized battery energy storage system and the relatively closed environment,STAR-CCM software was used for thermal management analysis on the drilling energy storage system.A 3D model of the system was built to extract heat transfer and dissipation paths.Computational fluid dy-namics(CFD)simulation technology was used for detailed analysis on the flow field and temperature field in the system,identifying hotspots and analyzing the reasons for temperature rise.Based on simulation results,optimiza-tion design was conducted on the air duct,which effectively improves the heat dissipation conditions in the battery arrangement area and reduces the overall temperature of the system.The research results provide important refer-ence for the thermal management design of energy storage systems.

drilling energy storage systemthermal managementair duct structurecomputational fluid dynamics

赵友贵

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中国石油集团长城钻探工程有限公司

钻井储能系统 热管理 风道结构 计算流体力学仿真

中国石油天然气集团有限公司科技项目宝鸡石油机械有限责任公司科研项目

2022DJ5406BOMCO 2022-2802

2024

石油机械
中国石油天然气集团公司装备制造分公司 中国石油学会石油工程专业委员会 江汉机械研究所 江汉石油管理局

石油机械

CSTPCD北大核心
影响因子:0.737
ISSN:1001-4578
年,卷(期):2024.52(9)