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On the CO2 emissions of the global electricity supply sector and the influence of renewable power-modeling and optimization

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  • Aboumahboub, Tino
  • Schaber, Katrin
  • Wagner, Ulrich
  • Hamacher, Thomas

Abstract

This study investigates influences of different factors on CO2 emissions of the global electricity generation system. The analysis has been performed through applying an electricity system investment and production optimization model based on linear programming. This model has been calibrated according to the real electricity generation data.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:enepol:v:42:y:2012:i:c:p:297-314
    DOI: 10.1016/j.enpol.2011.11.088
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    References listed on IDEAS

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    1. David Wheeler & Kevin Ummel, 2008. "Calculating CARMA: Global Estimation of CO2 Emissions from the Power Sector," Working Papers 145, Center for Global Development.
    2. Mathur, Jyotirmay & Bansal, Narendra Kumar & Wagner, Hermann. -Joseph, 2003. "Investigation of greenhouse gas reduction potential and change in technological selection in Indian power sector," Energy Policy, Elsevier, vol. 31(12), pages 1235-1244, September.
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    Cited by:

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    2. Smith, Jo & Nayak, Dali Rani & Smith, Pete, 2014. "Wind farms on undegraded peatlands are unlikely to reduce future carbon emissions," Energy Policy, Elsevier, vol. 66(C), pages 585-591.
    3. Merrick, James H., 2016. "On representation of temporal variability in electricity capacity planning models," Energy Economics, Elsevier, vol. 59(C), pages 261-274.
    4. Chen Zou & Hu Li & Donghua Chen & Jingwei Fan & Zhihong Liu & Xuelian Xu & Jiani Li & Zuo Wang, 2022. "Spatial-Temporal Changes of Carbon Source/Sink in Terrestrial Vegetation Ecosystem and Response to Meteorological Factors in Yangtze River Delta Region (China)," Sustainability, MDPI, vol. 14(16), pages 1-17, August.
    5. Santillán Soto, Néstor & García Cueto, O. Rafael & Ojeda Benítez, Sara & Lambert Arista, Alejandro Adolfo, 2014. "Photovoltaic low power systems and their environmental impact:Yuma, Arizona, U.S.A. case study and projections for Mexicali, Mexico," Renewable and Sustainable Energy Reviews, Elsevier, vol. 32(C), pages 172-177.
    6. Pratama, Yoga Wienda & Purwanto, Widodo Wahyu & Tezuka, Tetsuo & McLellan, Benjamin Craig & Hartono, Djoni & Hidayatno, Akhmad & Daud, Yunus, 2017. "Multi-objective optimization of a multiregional electricity system in an archipelagic state: The role of renewable energy in energy system sustainability," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 423-439.
    7. Cech, Marek, 2016. "Panel regression analysis of electricity prices and renewable energy in the European Union," MPRA Paper 74601, University Library of Munich, Germany.
    8. Aryanpur, Vahid & Shafiei, Ehsan, 2015. "Optimal deployment of renewable electricity technologies in Iran and implications for emissions reductions," Energy, Elsevier, vol. 91(C), pages 882-893.
    9. Brinkerink, Maarten & Gallachóir, Brian Ó & Deane, Paul, 2019. "A comprehensive review on the benefits and challenges of global power grids and intercontinental interconnectors," Renewable and Sustainable Energy Reviews, Elsevier, vol. 107(C), pages 274-287.

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