期刊
JOURNAL OF INDUSTRIAL ECOLOGY
卷 27, 期 1, 页码 272-282出版社
WILEY
DOI: 10.1111/jiec.13325
关键词
greenhouse gas footprint; life-cycle industrial ecology; spatio-temporal variability; technological variability; wind turbine
By combining technological parameters, life-cycle inventory data, and meteorological information, we quantified the greenhouse gas footprint of wind farms globally. Our results indicate a median GHG footprint of 10 g CO(2)eq/kWh for global wind electricity, with a range of 4 to 56 g CO(2)eq/kWh.
While technological characteristics largely determine the greenhouse gas (GHG) emissions during the construction of a wind farm and meteorological circumstances the actual electricity production, a thorough analysis to quantify the GHG footprint variability (in g CO(2)eq/kWh electricity produced) between wind farms is still lacking at the global scale. Here, we quantified the GHG footprint of 26,821 wind farms located across the globe, combining turbine-specific technological parameters, life-cycle inventory data, and location- and temporal-specific meteorological information. These wind farms represent 79% of the 651 global wind (GW) capacity installed in 2019. Our results indicate a median GHG footprint for global wind electricity of 10 g CO(2)eq/kWh, ranging from 4 to 56 g CO(2)eq/kWh (2.5th and 97.5th percentiles). Differences in the GHG footprint of wind farms are mainly explained by spatial variability in wind speed, followed by whether the wind farm is located onshore or offshore, the turbine diameter, and the number of turbines in a wind farm. We also provided a metamodel based on these four predictors for users to be able to easily obtain a first indication of GHG footprints of new wind farms considered. Our results can be used to compare the GHG footprint of wind farms to one another and to other sources of electricity in a location-specific manner.
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