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Assessing the evolution of power sector carbon intensity in the United States

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Assessing the evolution of power sector carbon intensity in the United States
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In the United States, the electricity sector is a major focus for implementing policies to meet national, state, or local mandatory or voluntary CO2 emissions reductions goals. Thus, it is important to have timely and available information on greenhouse gas emissions generated by the power sector to ensure that the policies implemented achieve intended emissions reductions. This work is the first to develop a transparent method to compute the emissions intensity for the US electricity section from 2001 through 2017 at different temporal (annual, quarterly, monthly) and regional (US, NERC, and state) levels. We find that between 2001 and 2017 the average annual CO2 emissions intensity of electricity production in the United States decreased by 30%, from 630 g CO2 kWh−1 to 439 g CO2 kWh−1. This change in CO2 intensity is attributable to an increase in generation from natural gas and wind accompanied by a reduction in coal-fired power generation. The decline in carbon intensity varies across regions, with the largest reduction between 2001 and 2017 from power plants in the Northeast (58%) and the smallest reduction from power plants in the Texas region (27%). In absolute terms the South-central region saw the largest decrease in emissions intensity (358 g CO2 kWh−1) and Texas saw the smallest (164 g CO2 kWh−1). We also find that replacing coal generation with natural gas or renewables has increased the monthly correlation of CO2 intensity between regions. At the state level, Delaware saw the largest decrease in CO2 intensity (466 g CO2 kWh−1), and Idaho is the only state that has not decreased CO2 intensity since 2001.

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I'm very sadly a PhD candidate at Carnegie-Mellon University in civil environment sharing the other authors of this
work rehash of data a Professor in Engineering and Public Policy because to some
errors professors civil and environmental engineering the electricity sector will need to play a large role in deep decarbonization and is a major focus of national state and local policies to reduce C O 2 emissions in U.S. so it's important have timely information on greenhouse gas emissions from power plants to ensure that the policies that are enacted achieve their intended so in order to
track progress in the power sector we created an open and reproducible method to calculate intensity at state regional and national levels from 2001 through the press in this
letter we describe a method we provide a link to the open source code and data analyze some of the results we can bind monthly U.S.
Department of Energy and US Environmental Protection Agency dared to construct a continuous time series of power sector carbon intensity at these geographic levels we found it's you to intensity in the power sector is down 30 per cent since 2001 regional C 2 intensity decreases range from 58 per cent in northeast to 28 per cent in Texas the widespread
decline you 2 intensity across the U.S. has been caused by growing generation from natural gas and wind power this growth has been almost entirely at the expense of coal which fell from 51 per cent generation 2001 to 30 per cent in 2017 every region in the U.S. a seasonal variations in to intensity and negative correlation monthly intensity between 2 regions would be may produce lower carbon electricity at different times of the air more long distance transmission of this low-carbon electricity could lower C O 2 emissions across regions looking at the data we found
correlations in intensity of actually increased over time without specific
policy technology interventions to provide more low-carbon power during winter and summer months either through generation 1 long-term storage deeply decarbonising us electricy becomes
more challenging finally we examined how
soon to intensity of electricity generated within each state has changed over time 30 states
currently of renewable portfolio standards which mandated a certain amount of electricity sold within the state be from renewable sources some states with these programs have seen large decreases in future intensity but others have not States about RPS programs have been reduced you to intensity if they have good conditions for wind generation or switch from coal to natural gas this analysis and open data
set can serve as the foundation for all the work on electricity SU 2 missions emissions intensity organizing dated estimates
you to intensities previously been time consuming and subject to tacit assumptions this paper makes these assumptions explicit and provides a transparent queen and curative dataset for stakeholders Alain Texas
all the dating code is included in the paper or it can be downloaded from the power sector carbon index website emissions index dot org the overall impact of this tool is to provide on a very regular basis where you least patterns in the electricity sector in United States as the power sector continues to of all these data can serve as innovation targets and performance benchmarks for firms governments and researchers this
research was supported by Mitsubishi attach a power systems the National Science Foundation and the world at the Scott Institute for Energy Innovation at Carnegie-Mellon University