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Assessing the future of global energy-for-water

Bibliographic Data

ID15549099
AuthorsPage Kyle (0000-0002-1257-8358, University Research Co (United States), corresponding author), Mohamad Hejazi (0000-0003-4194-2208, University Research Co (United States)), Son H Kim (0000-0001-5195-489X, University Research Co (United States)), Son Kim, Pralit Patel (0000-0003-3992-1061), Neal T Graham (0000-0001-6867-5475), Yaling Liu (0000-0003-1670-2413, Columbia University)
Year2021
Volume16
Issue2
Pages024031-024031
Publication date2021-01-05
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueEnvironmental Research Letters (JOURNAL)
Journal identifiersISSN: 1748-9326 • E-ISSN: 1748-9326
PublisherIOP Publishing (PUBLISHER • GB)
DOI10.1088/1748-9326/abd8a9
OpenAlexW3119357966
LanguageEN
Citations received4
References cited19

This study incorporates the energy demands of water abstraction, treatment, distribution, and post-use wastewater treatment into the Global Change Analysis Model, an integrated human-Earth systems model, and analyzes a range of scenarios that estimate the future evolution of this demand of energy. The study complements research on historical and future water-for-energy, and builds on bottom-up estimates of historical energy-for-water (EFW), by integrating EFW into nation-level energy statistics, where EFW is normally categorized with other energy use in the commercial and public services, industrial, agricultural, and/or electric power sectors. This development allows more resolved projections of future energy demands in general, and in this study, allows for assessment of the energy implications of improvements in water access and water quality that are consistent with the sustainable development goals (SDGs). In our baseline scenario, EFW increases by 2.6 times from 2015 to 2050, and in the SDG scenario with enhanced water access, standards for treatment of wastewater, and irrigation, the consequent EFW demands quadruple from 2015 to 2050. The study highlights the value of integrated, multi-sector analysis in quantifying the future impacts of the SDGs and other aspirational targets

Agriculture · Business · Distribution (mathematics · Economics · Energy (signal processing · Environmental economics · Environmental resource management · Geography · Irrigation · Quality (philosophy · Range (aeronautics · Scenario analysis · Statistics · Sustainable development · Water quality · Water resource management · Energy and Environment Impacts · Engineering · Environmental Science · Hybrid Renewable Energy Systems · Water-Energy-Food Nexus Studies

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Unique citing works4
Citations per year1,33
Citation span2023 - 2025 (3)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 4

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