2020
DOI: 10.5547/01956574.41.5.dkaf
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Intermittency and CO2 Reductions from Wind Energy

Abstract: Using detailed 5-minute electricity generation data, we examine the impact of wind intermittency on carbon dioxide (CO2) emissions savings from wind energy in the Southwest Power Pool from 2012-2014. Parametric and semi-parametric analysis confirms concerns that intra-hour wind intermittency reduces CO2 emissions savings from wind—in the top decile of wind intermittency, emission savings are reduced by nearly 10 percent. However, the average wind intermittency effect on emission savings is modest, on the order… Show more

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Cited by 16 publications
(12 citation statements)
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“…The size, magnitude, and the significance of the coefficient is fairly robust and consistent across different specifications. The coefficient estimates for wind generation are between −0.53 and −0.65, which is in line with previous estimates published in the literature (e.g., [10,24]). We note that all standard errors reported in this study are clustered at the week level.…”
Section: Resultssupporting
confidence: 90%
See 3 more Smart Citations
“…The size, magnitude, and the significance of the coefficient is fairly robust and consistent across different specifications. The coefficient estimates for wind generation are between −0.53 and −0.65, which is in line with previous estimates published in the literature (e.g., [10,24]). We note that all standard errors reported in this study are clustered at the week level.…”
Section: Resultssupporting
confidence: 90%
“…The core idea here is that instead of calculating the avoided emissions as a result of solving a grid optimization problem using a dispatch model, we could estimate it using publicly available emissions and generation data and econometric methods. There is a growing strand in the energy economics literature adopting this method (e.g., [10,[22][23][24]).…”
Section: Introductionmentioning
confidence: 99%
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“…Cullen (2013) estimates the pollution emission offset by wind power in Texas taking into account intermittency. Kaffine and McBee (2017) perform a similar estimation for CO 2 emissions using high-frequency generation data from the US Southwest Power Pool. In the same vein, Gowrisankaran et al (2016) quantify the cost of solar power in Arizona in an optimized energy mix.…”
Section: Related Literaturementioning
confidence: 99%