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CO2 content of electricity losses

Author

Listed:
  • Daniel Davi-Arderius
  • Maria-Eugenia Sanin

    (EPEE - Centre d'Etudes des Politiques Economiques - UEVE - Université d'Évry-Val-d'Essonne)

  • Elisa Trujillo-Baute

Abstract

Countries are implementing policies to develop greener energy markets worldwide. In Europe, the "2030 Energy and Climate Package" asks for further reductions of green house gases, renewable sources integration, and energy efficiency targets. But the polluting intensity of electricity may be different in average than when considering market inefficiencies, in particular losses, and therefore the implemented policy must take those differences into account. Precisely, herein we study the importance in terms of CO2 emissions the extra amount of energy necessary to cover losses. With this purpose we use Spanish market and system data with hourly frequency from 2011 to 2013. Our results show that indeed electricity losses significantly explain CO2 emissions, with a higher CO2 emissions rate when covering losses than the average rate of the system. Additionally, we find that the market closing technologies used to cover losses have a positive and significant impact on CO2 emissions: when polluting technologies (coal or combined cycle) close the market, the impact of losses on CO2 emissions is high compared to the rest of technologies (combined heat and power, renewables or hydropower). To the light of these results we make some policy recommendations to reduce the impact of losses on CO2 emissions.

Suggested Citation

  • Daniel Davi-Arderius & Maria-Eugenia Sanin & Elisa Trujillo-Baute, 2017. "CO2 content of electricity losses," Post-Print hal-02878048, HAL.
  • Handle: RePEc:hal:journl:hal-02878048
    DOI: 10.1016/j.enpol.2017.01.011
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    References listed on IDEAS

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    Cited by:

    1. Hugo Brise o & Omar Rojas, 2020. "Factors Associated with Electricity Theft in Mexico," International Journal of Energy Economics and Policy, Econjournals, vol. 10(3), pages 250-254.
    2. Wang, Yongpei & Li, Jun, 2019. "Spatial spillover effect of non-fossil fuel power generation on carbon dioxide emissions across China's provinces," Renewable Energy, Elsevier, vol. 136(C), pages 317-330.
    3. Hugo Brise o & Jessica Rubiano & Rodolfo Garc a & Omar Rojas, 2021. "Factors Associated with Electricity Losses in Colombia," International Journal of Energy Economics and Policy, Econjournals, vol. 11(6), pages 465-470.
    4. Costa-Campi, Maria Teresa & Davi-Arderius, Daniel & Trujillo-Baute, Elisa, 2021. "Analysing electricity flows and congestions: Looking at locational patterns," Energy Policy, Elsevier, vol. 156(C).
    5. Costa-Campi, M.T. & García-Quevedo, J. & Trujillo-Baute, E., 2018. "Electricity regulation and economic growth," Energy Policy, Elsevier, vol. 113(C), pages 232-238.
    6. Hugo Brise o & Omar Rojas, 2020. "Factors Associated with Electricity Losses: A Panel Data Perspective," International Journal of Energy Economics and Policy, Econjournals, vol. 10(5), pages 281-286.
    7. Shaw-Williams, Damian & Susilawati, Connie & Walker, Geoff & Varendorff, Jeremy, 2019. "Valuing the impact of residential photovoltaics and batteries on network electricity losses: An Australian case study," Utilities Policy, Elsevier, vol. 60(C), pages 1-1.
    8. Costa-Campi, Maria Teresa & Davi-Arderius, Daniel & Trujillo-Baute, Elisa, 2020. "Locational impact and network costs of energy transition: Introducing geographical price signals for new renewable capacity," Energy Policy, Elsevier, vol. 142(C).
    9. Stracqualursi, Erika & Rosato, Antonello & Di Lorenzo, Gianfranco & Panella, Massimo & Araneo, Rodolfo, 2023. "Systematic review of energy theft practices and autonomous detection through artificial intelligence methods," Renewable and Sustainable Energy Reviews, Elsevier, vol. 184(C).

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    More about this item

    JEL classification:

    • L11 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Production, Pricing, and Market Structure; Size Distribution of Firms
    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General
    • Q50 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - General
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming

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