地铁车站弱电设备间设备发热量确定方法

作者:王艳 篮杰 李国栋 王海涛
单位:中原工学院 中铁第四勘察设计院集团有限公司 河南工业大学
摘要:介绍了一种地铁车站弱电设备间设备发热量确定新方法,该方法利用弱电设备发热量实测数据与模型预测数据相互验证,可以有效提高弱电设备发热量确定结果的准确性。研究了室内气温、地铁是否运营、设备额定功率和车站类型等因素对设备发热量的影响。研究结果表明:基于间接测量和预测模型的地铁车站弱电设备间设备发热量确定方法可以提高和保障设备发热量计算结果的准确性;室内气温会显著影响设备外表面和围护结构内表面温度及围护结构内表面热流密度,但对设备外表面热流密度的影响较小;地铁是否运营对弱电设备间设备发热量有较大影响,地铁运营期间设备发热量大于非运营期间;设备额定功率对弱电设备间设备发热量峰值有较大影响,车站类型和建筑面积对设备发热量峰值的影响很小。
关键词:地铁车站弱电设备间空调负荷设备发热量影响因素
作者简介:王艳,女,1979年生,博士,副教授,450007河南省郑州市中原中路41号中原工学院,E-mail:1636554885@qq.com;
尊敬的用户,本篇文章需要2元,点击支付交费后阅读
参考文献[1] SU Z Y,LI X F.Sub-system energy model based on actual operation data for subway stations [J].Sustainable cities and society,2020,52:101835.

[2] 李亮,李晓锋,王春旺,等.地铁屏蔽门渗透风对车站空调负荷影响的数值模拟研究[J].暖通空调,2021,51(11):121- 124.

[3] 王小飞,刚文杰,肖紫薇,等.某地铁站空调负荷逆向分解方法与验证[J].暖通空调,2022,52(3):157- 161.

[4] 余珏,李亮,李晓锋.基于现场实测的地铁站设备间设备发热量计算方法研究[J].建筑科学,2017,33(8):168- 172.

[5] 房烁,夏美秀,郑进龙.地铁车站设备房空调负荷实测研究[J].城市轨道交通研究,2018,21(10):112- 115.

[6] 徐国强,赵蕾.地铁车站客流特征及其对人员空调负荷的影响[J].暖通空调,2022,52(1):154- 159.

[7] 王磊,苏醒.地铁车站设备间设备发热量计算[J].建筑科学,2021,37(2):97- 102.

[8] 高志宏,刘猛,李子桥,等.地下地铁车站屏蔽门渗入风量计算模型[J].土木与环境工程学报(中英文),2023,45(3):126- 133.

[9] 何璇,罗缘,刘猛,等.昆明市地铁站设备与管理用房冬季室内热环境实测分析[J].土木与环境工程学报(中英文),2019,41(6):158- 166.

[10] 张乔.地铁车站设备发热量精确提资必要性及方法探讨[J].建筑热能通风空调,2019,38(11):57- 59.

[11] LI R N,ZHANG J L.Real-time heat dissipation model of electronic equipment for determining the dynamic cooling demand of office buildings [J].Journal of building engineering,2022,45:103465.
Method for determining equipment heat dissipation in weak current equipment rooms of subway stations
Wang Yan Lan Jie Li Guodong Wang Haitao
(Zhongyuan University of Technology China Railway SIYUAN Survey and Design Group Co., Ltd. Henan University of Technology)
Abstract: A new method for determining the equipment heat dissipation in weak current equipment rooms of subway stations is presented. This method uses the measured data of the heat dissipation of the weak current equipment and the model prediction data to verify each other, which can effectively improve the accuracy of determining the heat dissipation of the weak current equipment. The effects of indoor air temperature, subway operation, equipment rated power and station type on the equipment heat dissipation are studied. The results show that the method for determining the equipment heat dissipation in weak current equipment rooms of subway stations based on the indirect measurement and the prediction model can improve and ensure the accuracy of the calculation results of equipment heat dissipation. The indoor air temperature will significantly affect the temperatures of the external surface of the equipment and the inner surface of the building envelope and the heat flux density of the inner surface of the building envelope, but has little effect on the outer surface heat flux density of the equipment. Whether the subway operates or not has a great influence on the equipment heat dissipation in weak current equipment rooms. The equipment heat dissipation during the subway operation period is greater than that during the non-operation period. The rated power of the equipment has a great influence on the peak heat dissipation of the equipment in weak current equipment rooms, and the station type and building area have little influence on the peak heat dissipation of the equipment.
Keywords: subway station; weak current equipment room; air conditioning load; equipment heat dissipation; influencing factor;
250 0 0
文字:     A-     A+     默认 取消