IDEAS home Printed from https://ideas.repec.org/a/eee/enepol/v44y2012icp431-440.html
   My bibliography  Save this article

Competition in the European electricity markets – outcomes of a Delphi study

Author

Listed:
  • Makkonen, Mari
  • Pätäri, Satu
  • Jantunen, Ari
  • Viljainen, Satu

Abstract

Internal European electricity markets are a target set by the European Union (EU) and under development at present. This article presents the findings of a Delphi study focusing on the prospects of European electricity markets. The main aim is to report the obstacles that participants in the survey felt were the most critical ones affecting competition in the European electricity markets of the future. The respondents were European electricity market specialists, and the themes of the survey ranged from transmission networks and electricity trade to demand flexibility. One of the key findings was shared concern over the adequacy of transmission network capacity in Europe. It was considered that technical issues, such as existing transmission network bottlenecks, are most likely to form obstacles to creating common European electricity markets if new capacity is not built quickly enough. It was seen by the panellists that electricity trading arrangements, whilst important, are unlikely to form a barrier to the development of an internal electricity market. It was noted that electricity trading issues have recently been the subject of development work in the EU.

Suggested Citation

  • Makkonen, Mari & Pätäri, Satu & Jantunen, Ari & Viljainen, Satu, 2012. "Competition in the European electricity markets – outcomes of a Delphi study," Energy Policy, Elsevier, vol. 44(C), pages 431-440.
  • Handle: RePEc:eee:enepol:v:44:y:2012:i:c:p:431-440
    DOI: 10.1016/j.enpol.2012.02.014
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0301421512001309
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.enpol.2012.02.014?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Küpper, Gerd & Delarue, Erik & Delvaux, Bram & Meeus, Leonardo & Bekaert, David & Willems, Bert & Proost, Stef & D'haeseleer, William & Deketelaere, Kurt & Belmans, Ronnie, 2009. "Does More International Transmission Capacity Increase Competition in the Belgian Electricity Market?," The Electricity Journal, Elsevier, vol. 22(1), pages 21-36.
    2. Sioshansi, Fereidoon P., 2008. "Competitive Electricity Markets: Questions Remain about Design, Implementation, Performance," The Electricity Journal, Elsevier, vol. 21(2), pages 74-87, March.
    3. Bonacina, Monica & Cret, Anna & Sileo, Antonio, 2009. "Gas storage services and regulation in Italy: A Delphi analysis," Energy Policy, Elsevier, vol. 37(4), pages 1277-1288, April.
    4. Klenk, Nicole L. & Hickey, Gordon M., 2011. "A virtual and anonymous, deliberative and analytic participation process for planning and evaluation: The Concept Mapping Policy Delphi," International Journal of Forecasting, Elsevier, vol. 27(1), pages 152-165, January.
    5. Kuusi, Osmo, 1999. "Expertise in the Future Use of Generic Technologies," Research Reports 59, VATT Institute for Economic Research.
    6. Celiktas, Melih Soner & Kocar, Gunnur, 2010. "From potential forecast to foresight of Turkey's renewable energy with Delphi approach," Energy, Elsevier, vol. 35(5), pages 1973-1980.
    7. Haas, R. & Auer, H., 2006. "The prerequisites for effective competition in restructured wholesale electricity markets," Energy, Elsevier, vol. 31(6), pages 857-864.
    8. Leuthold, Florian & Weigt, Hannes & von Hirschhausen, Christian, 2008. "Efficient pricing for European electricity networks - The theory of nodal pricing applied to feeding-in wind in Germany," Utilities Policy, Elsevier, vol. 16(4), pages 284-291, December.
    9. Nielsen, Christine & Thangadurai, Mohan, 2007. "Janus and the Delphi Oracle: Entering the new world of international business research," Journal of International Management, Elsevier, vol. 13(2), pages 147-163, June.
    10. Klenk, Nicole L. & Hickey, Gordon M., 2011. "A virtual and anonymous, deliberative and analytic participation process for planning and evaluation: The Concept Mapping Policy Delphi," International Journal of Forecasting, Elsevier, vol. 27(1), pages 152-165.
    11. Richard Gilbert & Neuhoff, K. & Newbery, D., 2002. "Allocating Transmission to Mitigate Market Power in Electricity Networks," Cambridge Working Papers in Economics 0225, Faculty of Economics, University of Cambridge.
    12. Gallego Carrera, Diana & Mack, Alexander, 2010. "Sustainability assessment of energy technologies via social indicators: Results of a survey among European energy experts," Energy Policy, Elsevier, vol. 38(2), pages 1030-1039, February.
    13. Ph.D. Jay Lehr, 2010. "Nuclear Energy: Past, Present and Future," Energy & Environment, , vol. 21(2), pages 97-102, March.
    14. Rowe, Gene & Wright, George, 1999. "The Delphi technique as a forecasting tool: issues and analysis," International Journal of Forecasting, Elsevier, vol. 15(4), pages 353-375, October.
    15. Jean-Michel Glachant, 2003. "The Making of Competitive Electricity Markets in Europe: No Single Way and No ‘Single Market'," Chapters, in: Jean-Michael Glachant & Dominique Finon (ed.), Competition in European Electricity Markets, chapter 1, Edward Elgar Publishing.
    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. Hsueh, Sung-Lin, 2015. "Assessing the effectiveness of community-promoted environmental protection policy by using a Delphi-fuzzy method: A case study on solar power and plain afforestation in Taiwan," Renewable and Sustainable Energy Reviews, Elsevier, vol. 49(C), pages 1286-1295.
    2. Ye He & Siming Guo & Yu Wang & Yujia Zhao & Weidong Zhu & Fangyuan Xu & Chun Sing Lai & Ahmed F. Zobaa, 2022. "An Agent-Based Bidding Simulation Framework to Recognize Monopoly Behavior in Power Markets," Energies, MDPI, vol. 16(1), pages 1-19, December.
    3. Dinwoodie, John & Tuck, Sarah & Rigot-Müller, Patrick, 2013. "Maritime oil freight flows to 2050: Delphi perceptions of maritime specialists," Energy Policy, Elsevier, vol. 63(C), pages 553-561.
    4. Prasad, Ravita D. & Bansal, R.C. & Raturi, Atul, 2014. "Multi-faceted energy planning: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 38(C), pages 686-699.
    5. Elisabeta Ioana Hiriscau & Nicola Stingelin-Giles & Danuta Wasserman & Stella Reiter-Theil, 2016. "Identifying Ethical Issues in Mental Health Research with Minors Adolescents: Results of a Delphi Study," IJERPH, MDPI, vol. 13(5), pages 1-20, May.
    6. Billig, Eric & Thrän, Daniela, 2016. "Evaluation of biomethane technologies in Europe – Technical concepts under the scope of a Delphi-Survey embedded in a multi-criteria analysis," Energy, Elsevier, vol. 114(C), pages 1176-1186.
    7. Ren, Jingzheng & Gao, Suzhao & Tan, Shiyu & Dong, Lichun & Scipioni, Antonio & Mazzi, Anna, 2015. "Role prioritization of hydrogen production technologies for promoting hydrogen economy in the current state of China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 1217-1229.

    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. Winkler, Jens & Kuklinski, Christian Paul Jian-Wei & Moser, Roger, 2015. "Decision making in emerging markets: The Delphi approach's contribution to coping with uncertainty and equivocality," Journal of Business Research, Elsevier, vol. 68(5), pages 1118-1126.
    2. Hop, G.E. & Mourits, M.C.M. & Oude Lansink, A.G.J.M. & Saatkamp, H.W., 2014. "Future structural developments in Dutch and German livestock production and implications for contagious livestock disease control," Technological Forecasting and Social Change, Elsevier, vol. 82(C), pages 95-114.
    3. de Loë, Rob C. & Melnychuk, Natalya & Murray, Dan & Plummer, Ryan, 2016. "Advancing the State of Policy Delphi Practice: A Systematic Review Evaluating Methodological Evolution, Innovation, and Opportunities," Technological Forecasting and Social Change, Elsevier, vol. 104(C), pages 78-88.
    4. Marzieh Fallah & Lanndon Ocampo, 2021. "The use of the Delphi method with non-parametric analysis for identifying sustainability criteria and indicators in evaluating ecotourism management: the case of Penang National Park (Malaysia)," Environment Systems and Decisions, Springer, vol. 41(1), pages 45-62, March.
    5. Winkler, Jens & Moser, Roger, 2016. "Biases in future-oriented Delphi studies: A cognitive perspective," Technological Forecasting and Social Change, Elsevier, vol. 105(C), pages 63-76.
    6. Mulder, Machiel & Schoonbeek, Lambert, 2013. "Decomposing changes in competition in the Dutch electricity market through the residual supply index," Energy Economics, Elsevier, vol. 39(C), pages 100-107.
    7. Paméla Baillette & Bernard Fallery, 2016. "La méthode du Delphi argumentaire, une innovation managériale dans le cadre d'un projet complexe," Post-Print hal-02160359, HAL.
    8. Aldossary, Naief A. & Rezgui, Yacine & Kwan, Alan, 2015. "Consensus-based low carbon domestic design framework for sustainable homes," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 417-432.
    9. Prasad, Ravita D. & Bansal, R.C. & Raturi, Atul, 2014. "Multi-faceted energy planning: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 38(C), pages 686-699.
    10. Aurélie Girard & Bernard Fallery & Florence Rodhain, 2013. "Integration of Social Media in Recruitment: A Delphi Study," Post-Print hal-00998494, HAL.
    11. Holmberg, P. & Lazarczyk, E., 2012. "Congestion management in electricity networks: Nodal, zonal and discriminatory pricing," Cambridge Working Papers in Economics 1219, Faculty of Economics, University of Cambridge.
    12. Bonacina, Monica & Cret, Anna & Sileo, Antonio, 2009. "Gas storage services and regulation in Italy: A Delphi analysis," Energy Policy, Elsevier, vol. 37(4), pages 1277-1288, April.
    13. Guillermo Ivan Pereira & Patrícia Pereira Silva & Deborah Soule, 2018. "Policy-adaptation for a smarter and more sustainable EU electricity distribution industry: a foresight analysis," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 20(1), pages 231-267, December.
    14. Elena Arce, María & Saavedra, Ángeles & Míguez, José L. & Granada, Enrique, 2015. "The use of grey-based methods in multi-criteria decision analysis for the evaluation of sustainable energy systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 47(C), pages 924-932.
    15. repec:eee:intfor:v:27:y:2011:i:1:p:1-13 is not listed on IDEAS
    16. Ian Belton & Kerstin Cuhls & George Wright, 2022. "A critical evaluation of 42, large‐scale, science and technology foresight Delphi surveys," Futures & Foresight Science, John Wiley & Sons, vol. 4(2), June.
    17. Wright, George & Rowe, Gene, 2011. "Group-based judgmental forecasting: An integration of extant knowledge and the development of priorities for a new research agenda," International Journal of Forecasting, Elsevier, vol. 27(1), pages 1-13, January.
    18. Seppänen, Hannes & Luokkala, Pekka & Zhang, Zhe & Torkki, Paulus & Virrantaus, Kirsi, 2018. "Critical infrastructure vulnerability—A method for identifying the infrastructure service failure interdependencies," International Journal of Critical Infrastructure Protection, Elsevier, vol. 22(C), pages 25-38.
    19. Spickermann, Alexander & Zimmermann, Martin & von der Gracht, Heiko A., 2014. "Surface- and deep-level diversity in panel selection — Exploring diversity effects on response behaviour in foresight," Technological Forecasting and Social Change, Elsevier, vol. 85(C), pages 105-120.
    20. Marcin Kozak & Olesia Iefremova, 2014. "Implementation Of The Delphi Technique In Finance," "e-Finanse", University of Information Technology and Management, Institute of Financial Research and Analysis, vol. 10(4), pages 36-45, May.
    21. Rezaei, Mojtaba & Jafari-Sadeghi, Vahid & Cao, Dongmei & Mahdiraji, Hannan Amoozad, 2021. "Key indicators of ethical challenges in digital healthcare: A combined Delphi exploration and confirmative factor analysis approach with evidence from Khorasan province in Iran," Technological Forecasting and Social Change, Elsevier, vol. 167(C).

    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:eee:enepol:v:44:y:2012:i:c:p:431-440. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/enpol .

    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.