Abstract:Much has been made of the potential for wind and solar generation to supply cheap, low-emissions electricity, but considerable disagreement exists as to which combinations of many potential drivers will enable deep penetration of these technologies. Most existing analyses consider limited factors in isolation, such as investment costs or energy storage, and do not provide rigorous support for understanding which combinations of factors could underpin a leading role for wind and solar. This study addresses this… Show more
“…The largest share of funds goes to the sector of solar and wind generation. Thus, the financing of wind energy in the first half of 2020 amounted to $35 billion, which is 319% more than in the whole of 2019 11 (Bistline and Young, 2019).…”
“…The largest share of funds goes to the sector of solar and wind generation. Thus, the financing of wind energy in the first half of 2020 amounted to $35 billion, which is 319% more than in the whole of 2019 11 (Bistline and Young, 2019).…”
“…Wind generation capacity in the United States has grown rapidly in the past two decades due to the precipitous decline in costs as well as financial incentives and state level mandates for renewable energy playing a central role in US environmental policy [1,2]. Consistently, annual electricity generation from wind energy increased from 6 billion kWh (0.1% of total) in 2000 to 338 billion kWh (8.4% of total) in 2020 in the US [3].…”
Renewable subsidies and mandates currently play a central role in the environmental and energy policy in the United States, one of the world’s top greenhouse gas emitters. Therefore, accurately estimating the environmental benefits from wind energy is key to evaluating the existing policies and setting future directions and has been studied within a growing body of the literature. However, most of the existing studies do not take the intermittency into account, and the small number of studies that do only study a relatively short time period limiting the extent to which they can be informative within different ranges of wind generation capacity. In this paper, we present the first estimates of the environmental benefits of wind energy generation using a dataset that spans well over a decade. Specifically, we use 13 years of hourly and sub-hourly data to estimate the causal effect of wind generation and its intermittency on CO2, NOx, and SO2 emissions from the electricity sector in Texas. Additionally, we compared the full sample results to those from sub-samples where the dataset is divided into subgroups based on wind output level. We found that while wind generation clearly has a statistically significant negative marginal effect on all pollutants we studied, the marginal effect of intermittency varies across different wind output levels in a highly irregular way. Our findings suggest that conducting pooled analyses has the potential to mask the irregularity in the variation of the effect of intermittency in wind generation across different wind output levels.
“…These studies also generally do not examine how these differences may impact electric sector planning and decarbonization strategies, because cost assumptions alone do not uniquely determine deployment levels ( Bistline, 2021a ; Jaxa-Rozen and Trutnevyte, 2021 ). The extant literature using stylized cost trajectories for renewables indicates that investment decisions and policy costs are sensitive to technological cost assumptions, including those for variable renewables ( Bistline and Young, 2019 ; Cole et al., 2021 ) but also that model structure plays an important role ( Bistline, 2021b ; Mai et al., 2018 ). Other studies ( Grant et al., 2021 ; Luderer et al., 2021 ) look at the impact of lower wind and solar costs on electrification and economy-wide decarbonization using global integrated assessment models, whose lower temporal, spatial, and technological detail make them less appropriate for assessing power-sector-specific effects.…”
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