Evaluating the hourly emissions intensity of the US electricity system

被引:2
作者
Miller, Gregory J. [1 ,2 ]
Pease, Gailin [2 ]
Shi, Wenbo [2 ]
Jenn, Alan [3 ]
机构
[1] Univ Calif Davis, Energy Syst Energy & Efficiency Inst, Davis, CA 95616 USA
[2] Singular Energy Inc, Somerville, MA 02143 USA
[3] Univ Calif Davis, Inst Transportat Studies, Davis, CA USA
关键词
GHG emissions; air pollution; carbon intensity; electricity systems; power generation; climate policy; open data; RENEWABLE ENERGY; BIOMASS; WIND; GENERATION; BENEFITS; IMPACTS;
D O I
10.1088/1748-9326/acc119
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
High-quality data for the greenhouse gas and air pollution emissions associated with electricity generation and consumption are increasingly important to enable effective and targeted action to decarbonize the electric grid and to inform research in a range of academic disciplines including environmental economics, lifecycle assessment, and environmental health. To inform the broadest range of use cases, such data should ideally have a high temporal and spatial resolution, be available in as close to real-time as possible, represent the complete power sector, use the highest-quality measured data, have complete historical coverage, and represent both generated and consumed emissions. To date, no published datasets have achieved all of these characteristics. This work is the first to publish a comprehensive, plant-level dataset of hourly-resolution generation, fuel consumption, and direct CO2, NOx, and SO2 emissions for the entire U.S. power sector. This data is published as part of the public and open-source Open Grid Emissions Initiative, which also includes hourly, consumption-based emissions intensities for every grid balancing area in the country. Using insights generated by this new dataset, this paper also interrogates how several of the assumptions implicit in the use of existing power sector emissions datasets may under-count or misrepresent the climate and health impacts of air emissions from the U.S. power sector. We envision the Initiative becoming a central repository of, and hub of activity for addressing open research questions related to power sector emissions data, and the go-to source for high-quality, high-resolution data for future research on grid emissions.
引用
收藏
页数:11
相关论文
共 57 条
  • [1] [Anonymous], 2014, Framework for Assessing Biogenic CO2 Emissions from Stationary Sources
  • [2] app.electricitymaps, EL MAPS LIV 24 7 CO2
  • [3] From Cradle to Junkyard: Assessing the Life Cycle Greenhouse Gas Benefits of Electric Vehicles
    Archsmith, James
    Kendall, Alissa
    Rapson, David
    [J]. RESEARCH IN TRANSPORTATION ECONOMICS, 2015, 52 : 72 - 90
  • [4] Quantifying the climate change effects of bioenergy systems: Comparison of 15 impact assessment methods
    Brandao, Miguel
    Kirschbaum, Miko U. F.
    Cowie, Annette L.
    Hjuler, Susanne Vedel
    [J]. GLOBAL CHANGE BIOLOGY BIOENERGY, 2019, 11 (05): : 727 - 743
  • [5] Comparative analysis of attributional corporate greenhouse gas accounting, consequential life cycle assessment, and project/policy level accounting: A bioenergy case study
    Brander, Matthew
    [J]. JOURNAL OF CLEANER PRODUCTION, 2017, 167 : 1401 - 1414
  • [6] Setting with the Sun: The Impacts of Renewable Energy on Conventional Generation
    Bushnell, James
    Novan, Kevin
    [J]. JOURNAL OF THE ASSOCIATION OF ENVIRONMENTAL AND RESOURCE ECONOMISTS, 2021, 8 (04) : 759 - 796
  • [7] Location, Location, Location: The Variable Value of Renewable Energy and Demand-Side Efficiency Resources
    Callaway, Duncan S.
    Fowlie, Meredith
    McCormick, Gavin
    [J]. JOURNAL OF THE ASSOCIATION OF ENVIRONMENTAL AND RESOURCE ECONOMISTS, 2018, 5 (01) : 39 - 75
  • [8] carbonara.singularity.energy, SING EN CARB
  • [9] catalystcoop-pudl.readthedocs, CAT COOP PUDL AN EP
  • [10] CO2 emissions from biomass combustion for bioenergy: atmospheric decay and contribution to global warming
    Cherubini, Francesco
    Peters, Glen P.
    Berntsen, Terje
    Stromman, Anders H.
    Hertwich, Edgar
    [J]. GLOBAL CHANGE BIOLOGY BIOENERGY, 2011, 3 (05): : 413 - 426