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.

城市排水网络中的热工水力考虑对于利用来自废水和雨水的可用热容量至关重要。然而，可用的模型要么太详细，要么太粗糙；缺乏完全耦合的热流体动力学建模工具。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 SWMMH-HEAT 模型，该模型通过热平衡组件扩展了 EPA-StormWater 管理模型。这使得能够在全网络规模上进行比目前更先进的热流体动力学模拟。我们通过在干燥天气条件下预测两个独立的真实世界案例中的温度动态来证明该方法的有用性。我们进一步筛选模型参数的敏感性，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，该模型充分预测了温度动态，RSR 值介于 0.71 和 1.1 之间。我们的研究结果表明，模拟的下水道废水温度对土壤和顶部空间温度以及顶部空间湿度特别敏感。模拟运行通常很快；在几分钟内完成了在干燥天气下以高时间分辨率对具有 415 个节点的网络进行的为期五天的模拟。未来的工作应该评估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。为促进对下水道网络中可用热量预算的有效估计以及与城市规划的整合，SWMM-HEAT 代码公开可用。