Division of Industrial Electrical Engineering and Automation (IEA), Department of Biomedical Engineering, Lund University, P.O. Box 118, SE-22100 Lund, Sweden E-mail:
RISE Research Institutes of Sweden, Gjuterigatan 1D, SE-58273 Linköping, Sweden.
Water Sci Technol. 2021 Nov;84(9):2335-2352. doi: 10.2166/wst.2021.425.
The vast majority of the energy consumed for urban water services is used to heat tap water. Heat recovery from wastewater is consequently an area of rapidly growing concern, both in research and by commercial interest, promoting the path towards a circular economy. To facilitate a system-wide evaluation of heat recovery from wastewater, this paper compares two one-dimensional models (mechanistic and conceptual) that can describe wastewater temperature dynamics in sewer pipe systems. The models are applied to successfully predict downstream wastewater temperature for sewer stretches in two Swedish cities (Linköping and Malmö). The root mean squared errors for the mechanistic model (Linköping Dataset1 - 0.33 °C; Linköping Dataset2 - 0.28 °C; Malmö - 0.40 °C) and the conceptual model (Linköping Dataset1 - 0.32 °C; Linköping Dataset2 - 0.20 °C; Malmö - 0.44 °C) indicate that both models have similar predictive capabilities, encouraging the use of conceptual models to reduce data requirements and model calibration efforts. Both models are freely distributed and can be easily integrated with wastewater generation and treatment models to facilitate system-wide wastewater temperature dynamics analysis.
城市水务所消耗的绝大多数能源都用于加热自来水。因此，从废水回收热量成为了研究和商业利益的关注热点，推动了向循环经济发展的道路。为了便于对废水回收热量进行系统评估，本文比较了两种可描述污水管道系统中污水温度动态的一维模型（机理模型和概念模型）。该模型成功地预测了瑞典两个城市（林雪平和马尔默）的污水下游温度。机理模型（林雪平数据集 1-0.33°C；林雪平数据集 2-0.28°C；马尔默-0.40°C）和概念模型（林雪平数据集 1-0.32°C；林雪平数据集 2-0.20°C；马尔默-0.44°C）的均方根误差表明，这两种模型均具有相似的预测能力，这鼓励使用概念模型来减少数据需求和模型校准工作。这两个模型都可以免费分发，并可以轻松集成到污水产生和处理模型中，以促进系统范围的污水温度动态分析。
