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

IF 2.9 4区 环境科学与生态学 Q3 ENVIRONMENTAL SCIENCES Environmental Monitoring and Assessment Pub Date : 2024-11-25 DOI:10.1007/s10661-024-13394-4
Nurul Hani Mardi, Lee Woen Ean, Marlinda Abdul Malek, Kok Hua Chua, Ali Najah Ahmed
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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 m3/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.

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马来西亚超超临界(USC)煤电厂的水足迹评估
发电行业耗水量巨大。全面的水足迹(WF)评估有助于识别和监控高耗水量的过程。本研究对 USC 煤电厂的发电水足迹(WF)进行了评估,整合了现场数据以提高可靠性。根据《水足迹评估手册》,电力水足迹包括供应链和运营水足迹。本研究表明,平均电力用水量为 2.96 立方米/兆瓦时。供应链用水占总电力用水的 95%,而运营用水占 5%。蓝色水足迹占总电力水足迹的 9.9%,而灰色水足迹占 90.1%。研究结果表明,蓝色和灰色水足迹在电力水足迹中的分布存在显著差异。造成差异的因素包括煤炭消耗量、发电技术和发电厂冷却技术。此外,本研究还表明,灰色 WF 取决于所考虑的污染物浓度。本研究还进行了水足迹对当地水资源的影响评估,发现蓝色和灰色运行水足迹对水资源的影响较小。对煤电厂发电相关的水足迹进行监测将有助于更好地了解用水模式,从而对水资源管理产生影响。
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来源期刊
Environmental Monitoring and Assessment
Environmental Monitoring and Assessment 环境科学-环境科学
CiteScore
4.70
自引率
6.70%
发文量
1000
审稿时长
7.3 months
期刊介绍: Environmental Monitoring and Assessment emphasizes technical developments and data arising from environmental monitoring and assessment, the use of scientific principles in the design of monitoring systems at the local, regional and global scales, and the use of monitoring data in assessing the consequences of natural resource management actions and pollution risks to man and the environment.
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