Experimental dataset on the thermo-mechanical response of an energy piled wall section

IF 1.4 Q3 MULTIDISCIPLINARY SCIENCES
Luis Villegas , Raul Fuentes , Guillermo A. Narsilio
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引用次数: 0

Abstract

The investigation of geotechnical structures as heat exchangers for ground source heat pump (GSHP) systems has been extensive, mainly aiming at reducing initial capital costs of implementing renewable energy sources for space heating and cooling. Despite advancements in understanding the thermo-mechanical response of energy pile foundations, industry adoption lags behind academic developments. To bridge this gap and broaden the application of this technology to other geotechnical structures, there is a need for reliable, easy-to-use methods and confidence building through demonstration projects. This work presents a thermo-mechanical dataset from a pilot project of three energy piles within a retaining wall system at a Metro station in Melbourne, Australia. The data encompasses heat carrier fluid flow rate and temperature, station (air) temperature, soil temperatures at two depths, and temperature and uniaxial strains at different depths and locations across two piles. Unlike previous datasets focused on single piles, this dataset captures both single and multiple (three) simultaneously activated piles within a piled retaining wall, providing a better representation of an energy wall system. Beyond the raw data interpretation and model validation, the dataset can be used to evaluate the system's thermal performance and develop analytical methods needed in the industry.
能量桩墙截面热-力学响应实验数据集
岩土结构作为地源热泵(GSHP)系统的热交换器的研究已经广泛开展,主要目的是减少用于空间供暖和制冷的可再生能源的初始资本成本。尽管在理解能源桩基础的热-力学响应方面取得了进展,但工业采用滞后于学术发展。为了弥补这一差距,并将这项技术应用于其他岩土结构,需要可靠、易于使用的方法,并通过示范项目建立信心。这项工作展示了来自澳大利亚墨尔本地铁站挡土墙系统内三个能源桩试点项目的热力学数据集。数据包括热载体流体流速和温度、站点(空气)温度、两个深度的土壤温度,以及两个桩不同深度和位置的温度和单轴应变。与以前的数据集不同,该数据集捕获了桩式挡土墙内的单个和多个(三个)同时激活的桩,从而更好地表示了能源墙系统。除了原始数据解释和模型验证之外,该数据集还可用于评估系统的热性能,并开发行业所需的分析方法。
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来源期刊
Data in Brief
Data in Brief MULTIDISCIPLINARY SCIENCES-
CiteScore
3.10
自引率
0.00%
发文量
996
审稿时长
70 days
期刊介绍: Data in Brief provides a way for researchers to easily share and reuse each other''s datasets by publishing data articles that: -Thoroughly describe your data, facilitating reproducibility. -Make your data, which is often buried in supplementary material, easier to find. -Increase traffic towards associated research articles and data, leading to more citations. -Open up doors for new collaborations. Because you never know what data will be useful to someone else, Data in Brief welcomes submissions that describe data from all research areas.
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