Eawag, Swiss Federal Institute of Aquatic Science and Technology, Dübendorf 8600, Switzerland.
Eawag, Swiss Federal Institute of Aquatic Science and Technology, Dübendorf 8600, Switzerland; ETH Zürich, Institute of Environmental Engineering, Zürich 8093, Switzerland.
Water Res. 2021 Oct 1;204:117649. doi: 10.1016/j.watres.2021.117649. Epub 2021 Sep 9.
Thermal-hydraulic considerations in urban drainage networks are essential to utilise available heat capacities from waste- and stormwater. However, available models are either too detailed or too coarse; fully coupled thermal-hydrodynamic modelling tools are lacking. To predict efficiently water-energy dynamics across an entire urban drainage network, we suggest the SWMM-HEAT model, which extends the EPA-StormWater Management Model with a heat-balance component. This enables conducting more advanced thermal-hydrodynamic simulation at full network scale than currently possible. We demonstrate the usefulness of the approach by predicting temperature dynamics in two independent real-world cases under dry weather conditions. We furthermore screen the sensitivity of the model parameters to guide the choice of suitable parameters in future studies. Comparison with measurements suggest that the model predicts temperature dynamics adequately, with RSR values ranging between 0.71 and 1.1. The results of our study show that modelled in-sewer wastewater temperatures are particularly sensitive to soil and headspace temperature, and headspace humidity. Simulation runs are generally fast; a five-day period simulation at high temporal resolution of a network with 415 nodes during dry weather was completed in a few minutes. Future work should assess the performance of the model for different applications and perform a more comprehensive sensitivity analysis under more scenarios. To facilitate the efficient estimation of available heat budgets in sewer networks and the integration into urban planning, the SWMM-HEAT code is made publicly available.
城市排水管网中的热工水力问题对于利用废水和雨水的可用热容量至关重要。然而,现有的模型要么过于详细,要么过于粗糙;缺乏完全耦合的热动力建模工具。为了有效地预测整个城市排水管网的水-能动态,我们建议使用 SWMM-HEAT 模型,该模型通过热平衡组件扩展了 EPA-StormWater Management Model。这使得在全网络规模上进行更先进的热动力模拟成为可能,而这在当前是无法实现的。我们通过在两个独立的真实案例下预测干天气条件下的温度动态,展示了该方法的实用性。此外,我们还筛选了模型参数的敏感性,以指导未来研究中合适参数的选择。与测量结果的比较表明,该模型能够充分预测温度动态,其 RSR 值在 0.71 到 1.1 之间。我们的研究结果表明,模型模拟的污水温度对土壤和空间温度以及空间湿度特别敏感。模拟运行通常很快;在干天气条件下,对一个具有 415 个节点的网络进行高时间分辨率的五天模拟,仅需几分钟即可完成。未来的工作应评估该模型在不同应用中的性能,并在更多场景下进行更全面的敏感性分析。为了方便有效地估算下水道网络中的可用热预算并将其纳入城市规划,SWMM-HEAT 代码已公开发布。