水资源恢复能力得分 - 依靠淡水发电是个好主意吗?

IF 5.4 Q2 ENERGY & FUELS
Javier Farfan , Alena Lohrmann , Henrik Saxén
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引用次数: 0

摘要

反对波动性可再生能源的一个常用理由是其不可预测性。相比之下,火力发电和水力发电经常被认为是可靠和可调度的。然而,干旱和洪水会使直接依赖淡水的发电基础设施失去作用。在这项工作中,从能源与水关系的角度分析了全球电力行业,以评估在严重缺水情况下每个发电厂的可靠性,并提出了一种将其与水压力评分相结合的新方法。在国家层面,将已知的单个火力发电厂和水力发电厂与 2020 年至 2030 年的区域水压力预测及其水源配对,作为一种自下而上的方法,以考虑面临风险的发电能力,并确定水依赖可能导致电力系统不可靠的点。结果显示,全球约 65% 的发电能力直接依赖淡水。此外,在所有情况下,属于低恢复能力组的发电能力占总装机容量的比例从 2020 年的 9% 增加到 2030 年的 24%。这些发现有助于指导全球电力行业的发展,减少对水的依赖,并加快低水需求发电技术的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Water resiliency score – Is relying on freshwater to generate electricity a good idea?

Water resiliency score – Is relying on freshwater to generate electricity a good idea?

One commonly-used argument against fluctuating renewables is their unpredictability. In contrast, thermal power generation and hydropower are regularly presented as reliable and dispatchable. However, droughts and floods can render useless the share of the power generation infrastructure that directly depends on freshwater. In this work, the global power sector is analysed from an energy-water nexus perspective to evaluate its reliability in case of severe water scarcity on a per-power plant basis, proposing a new method for combining it with water stress scores. At a country level, known individual thermal and hydropower plants are paired with regional water stress projections from 2020 to 2030 and their water source as a bottom-up approach to account for the capacities at risk and identify the points where water dependence could render a power system unreliable. The results show that, globally, about 65 % of generating capacities are directly freshwater-dependent. Moreover, the share of capacities placed in the low-resiliency group increases from 9 % of the total installed in 2020 to over 24 % in 2030 in all scenarios. The findings could help guide the development of the global power sector towards a less water-dependent system and accelerate the deployment of low water-demand power generation technologies.

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来源期刊
Smart Energy
Smart Energy Engineering-Mechanical Engineering
CiteScore
9.20
自引率
0.00%
发文量
29
审稿时长
73 days
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