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

Autor: Mardi NH; Institute of Energy Infrastructure (IEI), Universiti Tenaga Nasional, Kajang, Selangor, 43000, Malaysia. nhani@uniten.edu.my., Ean LW; Institute of Energy Infrastructure (IEI), Universiti Tenaga Nasional, Kajang, Selangor, 43000, Malaysia., Malek MA; Faculty of Civil Engineering, Universiti Teknologi Malaysia, Skudai, Johor, 81310, Malaysia., Chua KH; Institute of Energy Infrastructure (IEI), Universiti Tenaga Nasional, Kajang, Selangor, 43000, Malaysia., Ahmed AN; Department of Engineering, School of Engineering and Technology, Sunway University, Bandar Sunway, 47500, Petaling Jaya, Malaysia.
Jazyk: angličtina
Zdroj: Environmental monitoring and assessment [Environ Monit Assess] 2024 Nov 25; Vol. 196 (12), pp. 1244. Date of Electronic Publication: 2024 Nov 25.
DOI: 10.1007/s10661-024-13394-4
Abstrakt: 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 3 /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.
Competing Interests: Declarations. Ethical approval: All authors have read, understood, and have complied as applicable with the statement on “Ethical responsibilities of authors” as found in the Instructions for Authors. Consent to participate: Not applicable. Consent for publication: Not applicable. Competing interests: The authors declare no competing interests.
(© 2024. The Author(s), under exclusive licence to Springer Nature Switzerland AG.)
Databáze: MEDLINE
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