为提高地下地铁车站的负荷计算精度,解决能源地下车站的地埋管换热量设计问题,以大连地铁4号线地下地铁车站为研究对象,采用3种负荷计算（DeST模拟、规范算法、逐时算法）方法计算地下车站全年负荷,并分析讨论地下车站设备管理用房区的全年负荷特征,进一步确定能源地下车站地埋管换热量。结果表明：地铁车站能源需求具有明显的逐时波动性和环境参数相关性,通过逐时负荷计算方法获得的全年总负荷较规范算法和DeST模拟结果的精确度可提高约1倍;不同功能用房负荷差异较大,办公用房的供热需求大于制冷需求,设备用房和变电所用房全年无需供热,且变电所用房的冷负荷远大于设备用房;逐时算法得到的换热量可准确反映全年换热需求,其地埋管换热量的不均衡率高达7.14。
Abstract
In order to improve the load calculation accuracy of underground subway station and solve the design problem of buried pipe heat transfer in energy underground station, three load calculation methods (DeST simulation, Standard algorithm and Hourly algorithm) were used to calculate the annual load of underground subway stations in Dalian Metro Line 4, and the annual load characteristics of the equipment management housing area were analyzed and discussed. Further determine the heat transfer capacity of underground station ground heat exchanger. The results show that the energy demand of subway stations has obvious hourly fluctuation and correlation with environmental parameters, and the annual load obtained by hourly load calculation method is about twice as accurate as the standard method and DeST simulation. There is a great difference in the load of different rooms. The heating demand of offices is greater than the cooling demand. The equipment rooms and substation rooms need no heating all year round, and the cooling load of substation rooms is more than that of equipment rooms. The heat transfer obtained by the Hourly algorithm method can accurately reflect the annual heat transfer demand, and it is found that the unbalance rate of buried pipe heat transfer is as high as 7.14.
关键词
地铁车站 /
地下传热 /
地源热泵 /
地埋管换热量 /
设备管理用房
Key words
subway station /
underground heat transfer /
geothermal heat pumps /
heat exchange quantity /
equipment management rooms
{{custom_sec.title}}
{{custom_sec.title}}
{{custom_sec.content}}
参考文献
[1] 王磊, 苏醒. 地铁车站设备管理用房设备发热量计算[J]. 建筑科学, 2021, 37(2): 97-102.
WANG L, SU X.Calculation of heat flux of equipment in management and equipment rooms in subway station[J]. Building science, 2021, 37(2): 97-102.
[2] 朱旻, 孙晓辉, 陈湘生, 等. 地铁地下车站绿色高效智能建造的思考[J]. 隧道建设(中英文), 2021, 41(12): 2037-2047.
ZHU M, SUN X H, CHEN X S, et al.Green, efficient, and intelligent construction of underground metro station[J]. Tunnel construction, 2021, 41(12): 2037-2047.
[3] ZANNIN J, FERRARI A, KAZERANI T, et al.Experimental analysis of a thermoactive underground railway station[J]. Geomechanics for energy and the environment, 2022, 29: 100275.
[4] LI Y, ZHANG Q, WANG J Q, et al.Field investigation on operation parameters and performance of air conditioning system in a subway station[J]. Energy exploration & exploitation, 2020, 38(1): 235-252.
[5] 孟华, 孙浩, 裴迪, 等. 基于聚类及优化集成神经网络的地铁车站空调负荷预测[J]. 同济大学学报(自然科学版), 2021, 49(11): 1582-1589.
MENG H, SUN H, PEI D, et al.Air-conditioning load prediction of subway station based on clustering and optimization algorithm ensemble neural network[J]. Journal of Tongji University (natural science), 2021, 49(11): 1582-1589.
[6] ZHANG Y, LI X F.Methodology of developing operation strategy for VAC system in subway stations with PSDs and APDs[J]. Energy and buildings, 2021, 253: 111525.
[7] 边志美. 地铁屏蔽门、闭式和开式系统环控能耗分析研究[D]. 上海: 同济大学, 2007.
BIAN Z M.Energy consumption analysis of the metro environment control mode with and without metro platform screen doors[D]. Shanghai: Tongji University, 2007.
[8] SPITLER J D, GEHLIN S E A. Thermal response testing for ground source heat pump systems—an historical review[J]. Renewable and sustainable energy reviews, 2015, 50: 1125-1137.
[9] LOVERIDGE F, POWRIE W.Temperature response functions (G-functions) for single pile heat exchangers[J]. Energy, 2013, 57: 554-564.
[10] YOU T, YANG H X.Influences of different factors on the three-dimensional heat transfer of spiral-coil energy pile group with seepage[J]. International journal of low-carbon technologies, 2020, 15(3): 458-470.
[11] ZHANG W K, YANG H X, FANG L, et al.Study on heat transfer of pile foundation ground heat exchanger with three-dimensional groundwater seepage[J]. International journal of heat and mass transfer, 2017, 105: 58-66.
[12] KWAG B C, KRARTI M.Analysis of thermo-active foundations for office buildings[J]. Sustainable energy technologies and assessments, 2018, 30: 239-252.
[13] 何绍明. 浅谈地铁车站空调负荷特性[J]. 暖通空调, 2007, 37(8): 125-127, 120.
HE S M.Discussion on characteristics of air conditioning load in an underground railway station[J]. Journal of HV & AC, 2007, 37(8): 125-127, 120.
[14] ZHAO P, LI X Z, ZHANG D H, et al.A simplified method to determine the comprehensive heat transfer quantity in subway tunnels[J]. Energy and buildings, 2021, 247: 111090.
[15] GB/T 51357—2019, 城市轨道交通通风空气调节与供暖设计标准[S].
GB/T 51357—2019, Standard for design of ventilation air conditioning and heating of urban rail transit[S].
[16] GB/T 50736—2012, 民用建筑供暖通风与空气调节设计规范[S].
GB/T 50736—2012. Design code for Heating ventilating and air conditioning of civil buildings[S].
[17] 谢晓娜, 宋芳婷, 燕达, 等. 建筑环境设计模拟分析软件DeST(第2讲)建筑动态热过程模型[J]. 暖通空调, 2004, 34(8): 35-47.
XIE X N, SONG F T, YAN D, et al.Building environment design simulation software DeST(2): dynamic thermal process of buildings[J]. Journal of HV & AC, 2004, 34(8): 35-47.
[18] KONG G Q, HU S J, YANG Q.Uncertainty method and sensitivity analysis for assessment of energy consumption of underground metro station[J]. Sustainable Cities and Society, 2023, 92: 104504.
[19] ZHANG Y, LI X F.A study of fresh air control in subway stations[J]. Journal of wind engineering and industrial aerodynamics, 2018, 175: 384-390.
[20] GUAN B W, ZHANG T, LIU X H.Performance investigation of outdoor air supply and indoor environment related to energy consumption in two subway stations[J]. Sustainable Cities and Society, 2018, 41: 513-524.
[21] MEIBODI S S, LOVERIDGE F.The future role of energy geostructures in fifth generation district heating and cooling networks[J]. Energy, 2022, 240: 122481.
基金
国家自然科学基金优秀青年基金项目（51922037）
PDF(2681 KB)
