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Calculating CARMA: Global Estimation of CO2 Emissions from the Power Sector

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  • David Wheeler
  • Kevin Ummel

Abstract

This paper provides a detailed description and assessment of CARMA (Carbon Monitoring for Action), a database that reports CO2 emissions from the power sector. We built CARMA to assist the millions of concerned global citizens who can act to reduce carbon emissions once they have timely, accurate information about emissions sources. CARMA also lays the groundwork for the global monitoring system that will be necessary to ensure the credibility of any post-Kyoto carbon emissions limitation agreement. CARMA focuses on the power sector because it is the largest carbon dioxide emitter (26% of the global total), and because power plants are much better-documented than many sources of carbon emissions. The CARMA database and website put anyone with web access a few keystrokes away from detailed knowledge about power plants and the companies that own and operate them. CARMA includes many aggregation tools, so it can be used for local, regional, national and international comparisons. The database also offers complete information about power plants and companies that do not emit carbon because they use non-fossil energy sources (nuclear, hydro, solar, wind, biofuels, geothermal, etc.). In this paper, we provide a description of CARMA’s methodology, an assessment of its strengths and weaknesses, and some tests of its accuracy across countries and at different geographical scales. While CARMA performs well in these tests, we recognize that it is far from perfect. We therefore extend the following invitation to any power plant or company that disputes our estimates: Provide us with better data, verified by an appropriate third party, and we will incorporate them in CARMA.

Suggested Citation

  • David Wheeler & Kevin Ummel, 2008. "Calculating CARMA: Global Estimation of CO2 Emissions from the Power Sector," Working Papers 145, Center for Global Development.
  • Handle: RePEc:cgd:wpaper:145
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    File URL: http://www.cgdev.org/content/publications/detail/16101
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    Cited by:

    1. Brian Blankespoor & Alan Basist & Ariel Dinar & Shlomi Dinar & Harold Houba & Neil Thomas, 2014. "Assessing the Economic and Political Impacts of Climate Change on International River Basins using Surface Wetness in the Zambezi and Mekong Basins," Tinbergen Institute Discussion Papers 14-005/II, Tinbergen Institute.
    2. Daví-Arderius, Daniel & Sanin, María-Eugenia & Trujillo-Baute, Elisa, 2017. "CO2 content of electricity losses," Energy Policy, Elsevier, vol. 104(C), pages 439-445.
    3. Schaber, Katrin & Steinke, Florian & Hamacher, Thomas, 2012. "Transmission grid extensions for the integration of variable renewable energies in Europe: Who benefits where?," Energy Policy, Elsevier, vol. 43(C), pages 123-135.
    4. Grant, Don & Jorgenson, Andrew K. & Longhofer, Wesley, 2016. "How organizational and global factors condition the effects of energy efficiency on CO2 emission rebounds among the world's power plants," Energy Policy, Elsevier, vol. 94(C), pages 89-93.
    5. Maya G. Hutchins & Jeffrey D. Colby & Gregg Marland & Eric Marland, 2017. "A comparison of five high-resolution spatially-explicit, fossil-fuel, carbon dioxide emission inventories for the United States," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 22(6), pages 947-972, August.
    6. Aboumahboub, Tino & Schaber, Katrin & Wagner, Ulrich & Hamacher, Thomas, 2012. "On the CO2 emissions of the global electricity supply sector and the influence of renewable power-modeling and optimization," Energy Policy, Elsevier, vol. 42(C), pages 297-314.
    7. Lindner, Soeren & Liu, Zhu & Guan, Dabo & Geng, Yong & Li, Xin, 2013. "CO2 emissions from China’s power sector at the provincial level: Consumption versus production perspectives," Renewable and Sustainable Energy Reviews, Elsevier, vol. 19(C), pages 164-172.
    8. Boruff, Bryan J. & Moheimani, Navid R. & Borowitzka, Michael A., 2015. "Identifying locations for large-scale microalgae cultivation in Western Australia: A GIS approach," Applied Energy, Elsevier, vol. 149(C), pages 379-391.
    9. Blankespoor, Brian & Basist, Alan & Dinar, Ariel & Dinar, Shlomi, 2012. "Assessing economic and political impacts of Hydrological variability on treaties : case studies on the Zambezi and Mekong basins," Policy Research Working Paper Series 5996, The World Bank.
    10. Janina Ketterer & Jana Lippelt, 2009. "Kurz zum Klima: Globaler Stand der Erneuerbaren Energien," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 62(24), pages 83-85, December.
    11. Tomohiro Oda & Rostyslav Bun & Vitaliy Kinakh & Petro Topylko & Mariia Halushchak & Gregg Marland & Thomas Lauvaux & Matthias Jonas & Shamil Maksyutov & Zbigniew Nahorski & Myroslava Lesiv & Olha Dany, 2019. "Errors and uncertainties in a gridded carbon dioxide emissions inventory," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 24(6), pages 1007-1050, August.
    12. Jinpei Ou & Xiaoping Liu & Xia Li & Meifang Li & Wenkai Li, 2015. "Evaluation of NPP-VIIRS Nighttime Light Data for Mapping Global Fossil Fuel Combustion CO2 Emissions: A Comparison with DMSP-OLS Nighttime Light Data," PLOS ONE, Public Library of Science, vol. 10(9), pages 1-20, September.

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    Keywords

    global warming; climate change; emissions; energy;
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