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马来西亚超超临界(USC)燃煤电厂的水足迹评估。

Water footprint assessment at the ultra-supercritical (USC) coal power plant in Malaysia.

机构信息

Institute of Energy Infrastructure (IEI), Universiti Tenaga Nasional, Kajang, Selangor, 43000, Malaysia.

Faculty of Civil Engineering, Universiti Teknologi Malaysia, Skudai, Johor, 81310, Malaysia.

出版信息

Environ Monit Assess. 2024 Nov 25;196(12):1244. doi: 10.1007/s10661-024-13394-4.

Abstract

The power generation sector consumes significant amounts of water. A comprehensive water footprint (WF) assessment helps identify and monitor the processes consuming high amounts of water. This research evaluates the water footprint (WF) of electricity generation at a USC coal power plant, integrating on-site data for enhanced reliability. Based on the Water Footprint Assessment Manual, the electricity WF includes supply chain and operational WF. This study exhibits that the average electricity WF is 2.96 m/MWh. The supply chain WF accounts for 95% of the total electricity WF, while operational WF contributes 5%. The blue WF accounts for 9.9% of the total electricity WF, while the grey water footprint accounts for 90.1%. The results of this research show a significant difference in the distribution of blue and grey WF in electricity WF. Factors contributing to the differences include the amount of coal consumption, power generation technology and power plant cooling technology. Furthermore, this study shows that grey WF depends on the concentration of pollutants considered. This research also conducted a WF impact assessment on local water resources and found that the blue and grey operational WF contributes to low impact. Monitoring the water footprint associated with electricity generation at a coal power plant would provide a more enhanced understanding of water consumption patterns, which could help influence water resources management.

摘要

发电部门消耗大量的水资源。全面的水资源足迹(WF)评估有助于识别和监测消耗大量水资源的过程。本研究通过整合现场数据以提高可靠性,评估了 USC 燃煤电厂的发电水资源足迹(WF)。根据水资源足迹评估手册,电力 WF 包括供应链和运营 WF。本研究表明,平均电力 WF 为 2.96 立方米/兆瓦时。供应链 WF 占总电力 WF 的 95%,而运营 WF 占 5%。蓝色 WF 占总电力 WF 的 9.9%,灰色水足迹占 90.1%。研究结果表明,在电力 WF 中,蓝色和灰色 WF 的分布存在显著差异。造成差异的因素包括煤炭消耗量、发电技术和电厂冷却技术。此外,本研究表明,灰色 WF 取决于所考虑的污染物浓度。本研究还对当地水资源的 WF 影响进行了评估,发现蓝色和灰色运营 WF 造成的影响较小。监测燃煤电厂发电的水资源足迹可以更深入地了解水资源消耗模式,从而有助于影响水资源管理。

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