流体机械

2020, v.48;No.581(11) 80-88

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基于全局敏感性分析的跨季节埋管蓄热体热特性研究
Study on Thermal Characteristics of Seasonal Borehole Thermal Energy Storage Unit Based on Global Sensitivity Analysis

陈萨如拉;常甜馨;杨洋;
Chen Sarula;Chang Tianxin;Yang Yang;College of Architecture and Urban Planning,Anhui Jianzhu University;Anhui Academy of Territory Special Planning and Ecology;Key Laboratory of Environment and Health,Anhui Jianzhu University;School of Architecture,Tianjin University;

摘要(Abstract):

为探索不同类型影响因素对跨季节埋管蓄热系统(BTES)蓄释热性能的协同影响规律,利用拉丁超立方抽样建立了有关运行、设计和物性参数的50组随机样本,通过FLUENT软件对BTES热特性进行数值求解,并应用标准回归系数(SRC)和树状高斯过程模型(TGP)两种全局敏感性分析方法,定性与定量分析了影响因素变化对BTES注入热量、蓄热率和取热率产生的影响。结果表明:在输入因素范围内,影响因素的不确定性可引起注入热量57.7%、蓄热率65.0%和取热率41.5%的输出波动,设计阶段因偏离最佳参数组合而作出次优决策的风险较大;在影响机制和强度方面,蓄热温度、井深、井间距和岩土导热系数是影响BTES热特性的关键因素,并且井深和蓄热时间对性能指标有明显的非线性影响;两种全局敏感性方法在非线性关系和交互作用较强时所得因素排序略有差别,可体现输入输出变量间复杂非线性关系和交互作用的TGP方法更适用。以上研究结果可用于指导不同气候区BTES系统性能的优化设计并提供相应决策支持。
In order to investigate the synergic effect of influencing factors on the borehole thermal energy storage(BTES) unit,50 groups of random samples related to design,operation and material properties,were created by Latin Hypercube Sampling.Then,the thermal characteristics of BTES were solved by Fluent software.The two kinds of global sensitivity analysis method,i.e.,Standardized Regression Coefficients(SRC) and Treed Gaussian Processes(TGP) were implemented to qualitatively and quantitatively analyze the influence of changes in different factors on total injected heat(IH),percentage of heat stored(SE)and percentage of heat extracted(EP).The results show that the coefficient of variation of IH,SE and EP is 57.7%,65.0% and 41.5%,respectively within the input scope.It indicates that the risk of making suboptimal decision due to deviation from the optimal combination of parameters in the design stage is higher;In terms of influencing mechanism and strength,the key factors affecting BTES thermal characteristics were the storage temperature,well depth,well spacing and soil thermal conductivity,and the influence of well depth and heat storage time on performance indicators was significantly nonlinear;There was a slight difference in sequencing of factors obtained for the two kinds of global sensitivity method in the case of nonlinear relation and stronger interaction,showing that using the TGP sensitivity analysis that reflects the complicated nonlinear relations between input and output variables is more reasonable.The results can be used to guide the optimization design of BTES system performance in different climate regions and provide corresponding decision-making support.

关键词(KeyWords): 跨季节埋管蓄热体;性能指标;影响因素;全局敏感性分析
seasonal borehole thermal storage unit;performance indicator;influencing factors;global sensitivity analysis

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基金项目(Foundation): 安徽省住房城乡建设科学技术计划项目(2020-YF36);; 安徽建筑大学校引进人才及博士启动基金项目(2019QDZ54)

作者(Author): 陈萨如拉;常甜馨;杨洋;
Chen Sarula;Chang Tianxin;Yang Yang;College of Architecture and Urban Planning,Anhui Jianzhu University;Anhui Academy of Territory Special Planning and Ecology;Key Laboratory of Environment and Health,Anhui Jianzhu University;School of Architecture,Tianjin University;

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