Quantifying and benchmarking drinking water treatment facilities in 5 geographical regions in New Jersey, USA using energy and carbon intensity metrics

IF 8.2 Q1 ENERGY & FUELS
Energy nexus Pub Date : 2026-03-01 Epub Date: 2026-02-03 DOI:10.1016/j.nexus.2026.100645
Amna A.M. Bashir, William T. Riddell, Jagadish Torlapati
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引用次数: 0

Abstract

Energy use in drinking water systems varies significantly across utilities due to differences in operating conditions, and system configuration, posing challenges for consistent energy benchmarking. In this study, we present data collection, alignment and benchmarking approach based on a long-term operational data set from a water utility company operated in five geographical regions in New Jersey. The framework enabled quantification and comparison of total energy consumption and water production, across raw water, treatment and finished water facilities. The total energy and carbon intensity metrics were calculated using the aligned dataset supporting the comparative benchmarking approach. Energy and carbon intensities were calculated for all regions combined, by region, and by specific function of drinking water facilities, resulting in overall averages of 0.7 kWh/m³ and 0.24 kg CO2e/m3, respectively. Additionally, this study highlights that factors such as topography, applied treatment technologies and the spatial distribution of water consumers are positively correlated with energy requirements for pumping and treatment.

Abstract Image

使用能源和碳强度指标对美国新泽西州5个地理区域的饮用水处理设施进行量化和基准测试
由于运行条件和系统配置的差异,饮用水系统的能源使用在不同的公用事业中差异很大,这对一致的能源基准提出了挑战。在本研究中,我们基于一家在新泽西州五个地理区域运营的水务公司的长期运营数据集,提出了数据收集、校准和基准方法。该框架能够量化和比较总能源消耗和水产量,包括原水、处理和成品水设施。总能源和碳强度指标是使用支持比较基准方法的对齐数据集计算的。按地区和饮用水设施的特定功能计算了所有地区的能源和碳强度,得出的总体平均值分别为0.7 kWh/m³和0.24 kg CO2e/m3。此外,该研究还强调了地形、应用处理技术和水消费者的空间分布等因素与抽水和处理的能源需求呈正相关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Energy nexus
Energy nexus Energy (General), Ecological Modelling, Renewable Energy, Sustainability and the Environment, Water Science and Technology, Agricultural and Biological Sciences (General)
CiteScore
7.70
自引率
0.00%
发文量
0
审稿时长
109 days
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