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Optimizing the design of a geothermal district heating and cooling system located at a flooded mine in Canada

机译：优化位于加拿大水淹矿山的地热区域供热和制冷系统的设计

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摘要

Flooded underground mines are attractive for groundwater heat pump systems, as the voids created during mining operations enhance the subsurface permeability and storage capacity, which allows the extraction of significant volumes of groundwater without requiring extensive drilling. Heat exchange at a floodedmine is, however, difficult to predict because of the complex geometry of the underground network of tunnels. A case study is presented here to demonstrate that numerical simulations of groundwater flow and heat transfer can help assess production temperatures required to optimize the design of a heat pump system that uses mine water. A 3D numericalmodel was developed for the Gaspé Mines located in Murdochville, Canada, where a district heating and cooling system is being studied. The underground mining tunnels and shafts are represented in the model with 1D elements whose flow and heat transfer contributions are superimposed to those of the 3D porous medium. The numerical model is calibrated to simultaneously reproduce the groundwater rebound that occurred when the mine closed and the drawdown measured during a pumping test conducted in a former mining shaft. Predictive simulations over a period of 50years are subsequently performed to minimize pumping rate and determine maximum heat extraction rate.
机译：淹没的地下矿井对地下水热泵系统具有吸引力，因为在采矿作业过程中产生的空洞可提高地下渗透率和储存能力，从而无需大量钻探即可提取大量地下水。但是，由于隧道地下网络的复杂几何形状，很难预测在一个充满水的矿井中的热交换。这里进行案例研究，以证明地下水流动和传热的数值模拟可以帮助评估为优化使用矿井水的热泵系统设计所需的生产温度。为位于加拿大默多克维尔的加斯佩矿山开发了3D数值模型，该地区正在研究区域供热和制冷系统。在模型中，地下采矿隧道和竖井用1D元素表示，其流动和热传递贡献与3D多孔介质的流动和热传递贡献重叠。数值模型经过校准，可以同时再现关闭矿井时发生的地下水回弹和在原矿井中进行的抽水试验期间测得的回撤量。随后进行为期50年的预测模拟，以最大程度地降低抽气速率并确定最大吸热率。

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