Spatially and Temporally Detailed Water and Carbon Footprints of U.S. Electricity Generation and Use

IF 4.6 1区 地球科学 Q2 ENVIRONMENTAL SCIENCES Water Resources Research Pub Date : 2024-12-22 DOI:10.1029/2024wr038350
Md Abu Bakar Siddik, Arman Shehabi, Prakash Rao, Landon T. Marston
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Abstract

Electricity generation in the United States entails significant water usage and greenhouse gas emissions. However, accurately estimating these impacts is complex due to the intricate nature of the electric grid and the dynamic electricity mix. Existing methods to estimate the environmental consequences of electricity use often generalize across large regions, neglecting spatial and temporal variations in water usage and emissions. Consequently, electric grid dynamics, such as temporal fluctuations in renewable energy resources, are often overlooked in efforts to mitigate environmental impacts. The U.S. Department of Energy (DOE) has initiated the development of resilient energyshed management systems, requiring detailed information on the local electricity mix and its environmental impacts. This study supports DOE's goal by incorporating geographic and temporal variations in the electricity mix of the local electric grid to better understand the environmental impacts of electricity end users. We offer hourly estimates of the U.S. electricity mix, detailing fuel types, water withdrawal intensity, and water consumption intensity for each grid balancing authority through our publicly accessible tool, the Water Integrated Mapping of Power and Carbon Tracker (Water IMPACT). While our primary focus is on evaluating water intensity factors, our dataset and programming scripts for historical and real-time analysis also include evaluations of carbon dioxide (equivalence) intensity within the same modeling framework. This integrated approach offers a comprehensive understanding of the environmental footprint associated with electricity generation and use, enabling informed decision-making to effectively reduce Scope 2 water usage and emissions.
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美国发电和使用的空间和时间详细的水和碳足迹
美国的发电需要大量的水和温室气体排放。然而,由于电网和动态电力结构的复杂性,准确估计这些影响是复杂的。现有的估计电力使用对环境的影响的方法往往在大范围内一般化,忽视了水的使用和排放的时空变化。因此,电网动态,如可再生能源的时间波动,在减轻环境影响的努力中往往被忽视。美国能源部(DOE)已经启动了弹性能源棚管理系统的开发,该系统需要有关当地电力结构及其环境影响的详细信息。这项研究通过结合当地电网电力结构的地理和时间变化来更好地了解电力终端用户对环境的影响,从而支持能源部的目标。我们每小时提供美国电力结构的估算,详细说明燃料类型,取水强度,以及每个电网平衡机构的水消耗强度,通过我们的公共工具,水综合地图的电力和碳跟踪器(水影响)。虽然我们的主要重点是评估水强度因素,但我们用于历史和实时分析的数据集和编程脚本还包括在同一建模框架内评估二氧化碳(等效)强度。这种综合方法提供了对与发电和使用相关的环境足迹的全面了解,使明智的决策能够有效地减少第2类水的使用和排放。
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来源期刊
Water Resources Research
Water Resources Research 环境科学-湖沼学
CiteScore
8.80
自引率
13.00%
发文量
599
审稿时长
3.5 months
期刊介绍: Water Resources Research (WRR) is an interdisciplinary journal that focuses on hydrology and water resources. It publishes original research in the natural and social sciences of water. It emphasizes the role of water in the Earth system, including physical, chemical, biological, and ecological processes in water resources research and management, including social, policy, and public health implications. It encompasses observational, experimental, theoretical, analytical, numerical, and data-driven approaches that advance the science of water and its management. Submissions are evaluated for their novelty, accuracy, significance, and broader implications of the findings.
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