The energy implication of climate change on urban wastewater systems
The energy implication of climate change on urban wastewater systems
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DOI：
10.1016/j.jclepro.2020.121905
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发表时间：
2020-09
影响因子：
11.1
通讯作者：
Masoumeh Khalkhali;W. Mo
中科院分区：
文献类型：
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作者：
Masoumeh Khalkhali;W. Mo
城市污水处理服务是一个重要的能源消费者，也是一个潜在的重要能源生产者。本研究旨在提高对气候变化对污水处理厂净生命周期能耗年内和年际模式影响的认识。获得了美国东北部一个污水处理厂的历史月度运行数据，并对其当前的净生命周期能源需求进行了研究。然后进行全面的多变量和多元线性回归分析。主要的气候变量（温度，降雨量和降雪量）和废水特性（流量，水温，总悬浮固体，5天生化需氧量和化学需氧量）被用来开发回归模型的能量是直接和间接消耗和产生的处理厂。两种不同的方法，一个集总和一个月为基础的方法，进行回归分析进行了研究。只要有可能，这两种方法结合起来，以提高回归模型的预测能力。结果表明，目前污水处理厂的直接能耗占总能耗的86%以上。各种能源回收策略使处理厂能够抵消其总能耗的15%以上。在气候变化的影响下，预计到世纪末，该厂未来的污水年流入量将减少，季节性变化明显加大。预计流入的废水质量将下降，导致处理的直接和间接能源消耗增加。对未来年内反应的预测表明，废水流量的季节性变化以及每月累积的能源需求可能会增加两倍，导致更频繁的系统冲击，并造成运营困难。
Urban wastewater service provision is an important energy consumer as well as a potentially important energy producer. This study aims to advance understandings on the influence of climate change on the intra- and inter-annual patterns of wastewater treatment plants’ net life cycle energy consumption. Historic monthly operational data of a wastewater treatment plant in the northeast United States were obtained and its current net life cycle energy demand was investigated. Comprehensive multivariate and multiple linear regression analyses were then performed. The main climate variables (temperature, rainfall, and snowfall) and the wastewater characteristics (flow rate, water temperature, total suspended solids, 5-day biochemical oxygen demand, and chemical oxygen demand) were used to develop regression models for energy that is directly and indirectly consumed and generated at the treatment plant. Two different approaches, a lumped and a month-based method, for conducting the regression analysis were investigated. Whenever possible, these two approaches were combined to improve the predictive power of the regression models. The obtained result shows the treatment plant’s direct energy use consists of more than 86% of the total energy consumption currently. Various energy recovery strategies allow the treatment plant to offset more than 15% of its total energy consumption. The future annual wastewater influent of the plant was projected to decrease towards the end of the century under climate change, with a significantly larger seasonal variation. The influent wastewater quality is projected to decrease, leading to higher direct and indirect energy consumption for treatment. Projections of future intra-annual responses show that the seasonal variations of wastewater flowrate as well as the monthly cumulative energy demand can potentially experience a two-fold increase, resulting in more frequent system shocks and create operational difficulties.