IDEAS home Printed from https://ideas.repec.org/p/eve/wpaper/16-08.html
   My bibliography  Save this paper

CO2 Content of Electricity Losses

Author

Listed:
  • Daniel Daví Arderius

    (Cátedra de Sustentabilidad, Universidad de Barcelona)

  • María-Eugenia Sanin

    (EPEE, Université d´Evry Val d´Essonne)

  • Elisa Trujillo-Baute

    (University of Warrick)

Abstract

Worldwide, countries are implementing policies to develop greener energy markets. In Europe, the ¨2030 Energy and Climate Package¨ asks for further reductions of GHG, renewable sources integration, and energy efficiency targets. These objectives may counterbalance each other modifying the electricity flows, and hence, affecting the electricity losses. Precisely, the extra amount of energy necessary to cover losses is the departure point from which we analyze the impact of losses on CO2 emissions. With this purpose we use Spanish market and system data with hourly frequency from 2011 to 2013. Our results show that electricity losses significantly explain CO2 emissions, with higher CO2 emissions when covering losses that those on the average system. Additionally, we find that the market closing technologies used to cover losses have positive and significant impacts on CO2 emissions: when polluting technologies (coal or combined cycle) close the market, the impact of losses on CO2 emissions is greater in comparison with the rest of technologies (CHP, renewables or hydropower). From these results we make some policy recommendations to reduce the impact of losses on CO2 emissions.

Suggested Citation

  • Daniel Daví Arderius & María-Eugenia Sanin & Elisa Trujillo-Baute, 2016. "CO2 Content of Electricity Losses," Documents de recherche 16-08, Centre d'Études des Politiques Économiques (EPEE), Université d'Evry Val d'Essonne.
    • Handle: RePEc:eve:wpaper:16-08
    as

    Download full text from publisher

    File URL: https://www.univ-evry.fr/fileadmin/mediatheque/ueve-institutionnel/03_Recherche/laboratoires/Epee/wp/16-08.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    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. Daniel T. Kaffine, Brannin J. McBee, and Jozef Lieskovsky, 2013. "Emissions Savings from Wind Power Generation in Texas," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1).
    3. Joe Marriott & H. Scott Matthews & Chris T. Hendrickson, 2010. "Impact of Power Generation Mix on Life Cycle Assessment and Carbon Footprint Greenhouse Gas Results," Journal of Industrial Ecology, Yale University, vol. 14(6), pages 919-928, December.
    4. Kevin Novan, 2015. "Valuing the Wind: Renewable Energy Policies and Air Pollution Avoided," American Economic Journal: Economic Policy, American Economic Association, vol. 7(3), pages 291-326, August.
    5. Stoll, Pia & Brandt, Nils & Nordström, Lars, 2014. "Including dynamic CO2 intensity with demand response," Energy Policy, Elsevier, vol. 65(C), pages 490-500.
    6. Shaw, Rita & Attree, Mike & Jackson, Tim & Kay, Mike, 2009. "The value of reducing distribution losses by domestic load-shifting: a network perspective," Energy Policy, Elsevier, vol. 37(8), pages 3159-3167, August.
    7. Amor, Mourad Ben & Billette de Villemeur, Etienne & Pellat, Marie & Pineau, Pierre-Olivier, 2014. "Influence of wind power on hourly electricity prices and GHG (greenhouse gas) emissions: Evidence that congestion matters from Ontario zonal data," Energy, Elsevier, vol. 66(C), pages 458-469.
    8. Strbac, Goran, 2008. "Demand side management: Benefits and challenges," Energy Policy, Elsevier, vol. 36(12), pages 4419-4426, December.
    9. Amor, Mourad Ben & Billette de Villemeur, Etienne & Pellat, Marie & Pineau, Pierre-Olivier, 2014. "Influence of wind power on hourly electricity prices and GHG emissions: Evidence that congestion matters from Ontario zonal data," MPRA Paper 53630, University Library of Munich, Germany.
    10. Joseph Cullen, 2013. "Measuring the Environmental Benefits of Wind-Generated Electricity," American Economic Journal: Economic Policy, American Economic Association, vol. 5(4), pages 107-133, November.
    11. Smith, Thomas B., 2004. "Electricity theft: a comparative analysis," Energy Policy, Elsevier, vol. 32(18), pages 2067-2076, December.
    12. Bridge, Gavin & Bouzarovski, Stefan & Bradshaw, Michael & Eyre, Nick, 2013. "Geographies of energy transition: Space, place and the low-carbon economy," Energy Policy, Elsevier, vol. 53(C), pages 331-340.
    13. Feng, Kuishuang & Hubacek, Klaus & Guan, Dabo, 2009. "Lifestyles, technology and CO2 emissions in China: A regional comparative analysis," Ecological Economics, Elsevier, vol. 69(1), pages 145-154, November.
    14. Kevin Ummel, 2012. "CARMA Revisited: An Updated Database of Carbon Dioxide Emissions from Power Plants Worldwide," Working Papers 304, Center for Global Development.
    15. Costa-Campi, Maria Teresa & Daví-Arderius, Daniel & Trujillo-Baute, Elisa, 2018. "The economic impact of electricity losses," Energy Economics, Elsevier, vol. 75(C), pages 309-322.
    16. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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. 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.
    3. 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).
    4. 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.
    5. 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.
    6. 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).
    7. 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.
    8. 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.
    9. 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).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Bahramian, Pejman & Jenkins, Glenn P. & Milne, Frank, 2021. "The displacement impacts of wind power electricity generation: Costly lessons from Ontario," Energy Policy, Elsevier, vol. 152(C).
    2. Harrison Fell & Daniel T. Kaffine, 2014. "A one-two punch: Joint effects of natural gas abundance and renewables on coal-fired power plants," Working Papers 2014-10, Colorado School of Mines, Division of Economics and Business.
    3. Oliveira, Tiago & Varum, Celeste & Botelho, Anabela, 2019. "Wind power and CO2 emissions in the Irish market," Energy Economics, Elsevier, vol. 80(C), pages 48-58.
    4. Oliveira, Tiago & Varum, Celeste & Botelho, Anabela, 2019. "Econometric modeling of CO2 emissions abatement: Comparing alternative approaches," Renewable and Sustainable Energy Reviews, Elsevier, vol. 105(C), pages 310-322.
    5. Bent Jesper Christensen & Nabanita Datta Gupta & Paolo Santucci de Magistris, 2021. "Measuring the impact of clean energy production on CO2 abatement in Denmark: Upper bound estimation and forecasting," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 184(1), pages 118-149, January.
    6. Zerrahn, Alexander, 2017. "Wind Power and Externalities," Ecological Economics, Elsevier, vol. 141(C), pages 245-260.
    7. Curtis, John & Lynch, Muireann Á. & Zubiate, Laura, 2016. "Carbon dioxide (CO2) emissions from electricity: The influence of the North Atlantic Oscillation," Applied Energy, Elsevier, vol. 161(C), pages 487-496.
    8. Morales-España, Germán & Nycander, Elis & Sijm, Jos, 2021. "Reducing CO2 emissions by curtailing renewables: Examples from optimal power system operation," Energy Economics, Elsevier, vol. 99(C).
    9. Clancy, J.M. & Gaffney, F. & Deane, J.P. & Curtis, J. & Ó Gallachóir, B.P., 2015. "Fossil fuel and CO2 emissions savings on a high renewable electricity system – A single year case study for Ireland," Energy Policy, Elsevier, vol. 83(C), pages 151-164.
    10. Carlini, Federico & Christensen, Bent Jesper & Datta Gupta, Nabanita & Santucci de Magistris, Paolo, 2023. "Climate, wind energy, and CO2 emissions from energy production in Denmark," Energy Economics, Elsevier, vol. 125(C).
    11. Graff Zivin, Joshua S. & Kotchen, Matthew J. & Mansur, Erin T., 2014. "Spatial and temporal heterogeneity of marginal emissions: Implications for electric cars and other electricity-shifting policies," Journal of Economic Behavior & Organization, Elsevier, vol. 107(PA), pages 248-268.
    12. Steven M. Smith, 2019. "The Relative Economic Merits of Alternative Water Rights," Working Papers 2019-08, Colorado School of Mines, Division of Economics and Business.
    13. Gugler, Klaus & Haxhimusa, Adhurim & Liebensteiner, Mario, 2023. "Carbon pricing and emissions: Causal effects of Britain's carbon tax," Energy Economics, Elsevier, vol. 121(C).
    14. Nathaly M Rivera & Cristobal Ruiz Tagle, Elisheba Spiller, 2021. "The Health Benefits of Solar Power Generation: Evidence from Chile," Working Papers, Department of Economics 2021_04, University of São Paulo (FEA-USP).
    15. Brittany Tarufelli & Ben Gilbert, 2019. "Leakage in Regional Climate Policy? Implications of Electricity Market Design," Working Papers 2019-07, Colorado School of Mines, Division of Economics and Business, revised Dec 2021.
    16. Grant Jacobsen, 2016. "Improving Energy Codes," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1).
    17. Abrell, Jan & Rausch, Sebastian & Streitberger, Clemens, 2019. "The economics of renewable energy support," Journal of Public Economics, Elsevier, vol. 176(C), pages 94-117.
    18. Dilek Uz & Callista Chim, 2022. "Intermittency in Wind Energy and Emissions from the Electricity Sector: Evidence from 13 Years of Data," Sustainability, MDPI, vol. 14(4), pages 1-14, February.
    19. Kaffine, Daniel T., 2019. "Microclimate effects of wind farms on local crop yields," Journal of Environmental Economics and Management, Elsevier, vol. 96(C), pages 159-173.
    20. John J. García Rendón & Alex F. Pérez-Libreros, 2019. "El precio spot de la electricidad y la inclusión de energía renovable no convencional: evidencia para Colombia," Documentos de Trabajo de Valor Público 17393, Universidad EAFIT.

    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

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eve:wpaper:16-08. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Samuel Nosel (email available below). General contact details of provider: https://edirc.repec.org/data/epevrfr.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.