2012
DOI: 10.1016/j.enpol.2012.02.054
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Energy-water nexus of wind power in China: The balancing act between CO2 emissions and water consumption

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Cited by 149 publications
(68 citation statements)
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References 33 publications
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“…This is mainly due to the systems boundary cut-off, as other 451 studies only took direct water consumption into account while indirect water consumption, such 452 as water consumption in agricultural production, was neglected. For wind power, our calculation 453 is slightly lower than the finding from Li et al (2012) [44], which may be due to using different 454 methods. Li et al (2012) applied an IO-based LCA, while this study used an integrated hybrid 455 LCA approach.…”
Section: Resultscontrasting
confidence: 46%
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“…This is mainly due to the systems boundary cut-off, as other 451 studies only took direct water consumption into account while indirect water consumption, such 452 as water consumption in agricultural production, was neglected. For wind power, our calculation 453 is slightly lower than the finding from Li et al (2012) [44], which may be due to using different 454 methods. Li et al (2012) applied an IO-based LCA, while this study used an integrated hybrid 455 LCA approach.…”
Section: Resultscontrasting
confidence: 46%
“…For wind power, our calculation 453 is slightly lower than the finding from Li et al (2012) [44], which may be due to using different 454 methods. Li et al (2012) applied an IO-based LCA, while this study used an integrated hybrid 455 LCA approach. 456…”
Section: Resultscontrasting
confidence: 46%
“…For all the data sources used ( [6], [15], [64]- [74]) and for all indicators investigated, the estimates are based on a life cycle approach, i.e. all emissions or consumption from extraction to plant construction are considered.…”
Section: Data Collectionmentioning
confidence: 99%
“…Greece [64] and Luxembourg [65] direct data on recent industrial tariffs could be found. For all countries, uniform price distributions were assumed and their expected values are reported in Table 5.…”
Section: Water Energy and Ghg Input Datamentioning
confidence: 99%
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