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

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, integrati...

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Main Authors: Mardi N.H., Ean L.W., Malek M.A., Chua K.H., Ahmed A.N.
Other Authors: 57190171141
Format: Article
Published: Springer Science and Business Media Deutschland GmbH 2025
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spelling my.uniten.dspace-361592025-03-03T15:41:28Z Water footprint assessment at the ultra-supercritical (USC) coal power plant in Malaysia Mardi N.H. Ean L.W. Malek M.A. Chua K.H. Ahmed A.N. 57190171141 55324334700 55636320055 36926581400 57214837520 Coal Electricity Environmental Monitoring Malaysia Power Plants Water Water Supply Malaysia coal water Blue water Electricity-generation Gray water Operational water footprint Supply chain water footprint Sustainable development goal 6 Ultra-supercritical coal power plants Water energy Water footprint coal-fired power plant consumption behavior electricity generation water footprint water management water resource Article chemical oxygen demand coal mining coal-fired power plant cooling demineralization effluent electric power plant electricity energy environmental sustainability human hydropower Monte Carlo method pollutant recycling reliability solid waste management sustainable development goal waste water treatment plant water availability water footprint water pollution water supply environmental monitoring Malaysia procedures Fossil fuel power plants 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. ? The Author(s), under exclusive licence to Springer Nature Switzerland AG 2024. Final 2025-03-03T07:41:28Z 2025-03-03T07:41:28Z 2024 Article 10.1007/s10661-024-13394-4 2-s2.0-85210077815 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85210077815&doi=10.1007%2fs10661-024-13394-4&partnerID=40&md5=4a3ff083c8463c0454cb1f0f12e25794 https://irepository.uniten.edu.my/handle/123456789/36159 196 12 1244 Springer Science and Business Media Deutschland GmbH Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
topic Coal
Electricity
Environmental Monitoring
Malaysia
Power Plants
Water
Water Supply
Malaysia
coal
water
Blue water
Electricity-generation
Gray water
Operational water footprint
Supply chain water footprint
Sustainable development goal 6
Ultra-supercritical coal power plants
Water energy
Water footprint
coal-fired power plant
consumption behavior
electricity generation
water footprint
water management
water resource
Article
chemical oxygen demand
coal mining
coal-fired power plant
cooling
demineralization
effluent
electric power plant
electricity
energy
environmental sustainability
human
hydropower
Monte Carlo method
pollutant
recycling
reliability
solid waste management
sustainable development goal
waste water treatment plant
water availability
water footprint
water pollution
water supply
environmental monitoring
Malaysia
procedures
Fossil fuel power plants
spellingShingle Coal
Electricity
Environmental Monitoring
Malaysia
Power Plants
Water
Water Supply
Malaysia
coal
water
Blue water
Electricity-generation
Gray water
Operational water footprint
Supply chain water footprint
Sustainable development goal 6
Ultra-supercritical coal power plants
Water energy
Water footprint
coal-fired power plant
consumption behavior
electricity generation
water footprint
water management
water resource
Article
chemical oxygen demand
coal mining
coal-fired power plant
cooling
demineralization
effluent
electric power plant
electricity
energy
environmental sustainability
human
hydropower
Monte Carlo method
pollutant
recycling
reliability
solid waste management
sustainable development goal
waste water treatment plant
water availability
water footprint
water pollution
water supply
environmental monitoring
Malaysia
procedures
Fossil fuel power plants
Mardi N.H.
Ean L.W.
Malek M.A.
Chua K.H.
Ahmed A.N.
Water footprint assessment at the ultra-supercritical (USC) coal power plant in Malaysia
description 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. ? The Author(s), under exclusive licence to Springer Nature Switzerland AG 2024.
author2 57190171141
author_facet 57190171141
Mardi N.H.
Ean L.W.
Malek M.A.
Chua K.H.
Ahmed A.N.
format Article
author Mardi N.H.
Ean L.W.
Malek M.A.
Chua K.H.
Ahmed A.N.
author_sort Mardi N.H.
title Water footprint assessment at the ultra-supercritical (USC) coal power plant in Malaysia
title_short Water footprint assessment at the ultra-supercritical (USC) coal power plant in Malaysia
title_full Water footprint assessment at the ultra-supercritical (USC) coal power plant in Malaysia
title_fullStr Water footprint assessment at the ultra-supercritical (USC) coal power plant in Malaysia
title_full_unstemmed Water footprint assessment at the ultra-supercritical (USC) coal power plant in Malaysia
title_sort water footprint assessment at the ultra-supercritical (usc) coal power plant in malaysia
publisher Springer Science and Business Media Deutschland GmbH
publishDate 2025
_version_ 1825816015253012480
score 13.244109