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A Sectoral Micro-Economic Approach to Scenario Selection and Development: The Case of the Greek Power Sector

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  • Alexandros Flamos

    (Department of Industrial Management and Technology, University of Piraeus, Karaoli & Dimitriou 80, Piraeus 18534, Greece)

Abstract

Generating policy-relevant scenarios is instrumental for understanding and developing policy measures. These are especially relevant to the power sector. Practitioners have been working on policy-relevant scenarios for the ex-ante assessment of policy measures in a meaningful way for end-users related to climate change mitigation and adaptation strategies. This paper presents a method for generating such policy relevant scenarios by focusing on the actor-contingent elements of the scenarios, i.e. , the developments that are within the control of system actors to change or bring about. Several scenario techniques focusing on systematic-formalized or quantitative approaches have been published on this front over the past few years. Here, we introduce a methodology that is best suited for the assessment of the expected effect of different policy measures on the involved stakeholders’ behavior as well as for the analysis of the interactions between different policy measures as reflected on their impact on the strength and direction of the provided incentives. The applicability of our methodology is demonstrated for the case of the Greek power market. It was further evaluated in view of the challenges related to the issues of generation capacity adequacy and increased fiscal deficit. The strategic implications of the proposed approach concern the demonstration of the benefits from adopting a policy assessment methodology that focus on stakeholder expectations and interactions.

Suggested Citation

  • Alexandros Flamos, 2016. "A Sectoral Micro-Economic Approach to Scenario Selection and Development: The Case of the Greek Power Sector," Energies, MDPI, vol. 9(2), pages 1-12, January.
  • Handle: RePEc:gam:jeners:v:9:y:2016:i:2:p:77-:d:62990
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    References listed on IDEAS

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    1. Varho, Vilja & Tapio, Petri, 2013. "Combining the qualitative and quantitative with the Q2 scenario technique — The case of transport and climate," Technological Forecasting and Social Change, Elsevier, vol. 80(4), pages 611-630.
    2. Spyridaki, Niki-Artemis & Banaka, Stefania & Flamos, Alexandros, 2016. "Evaluating public policy instruments in the Greek building sector," Energy Policy, Elsevier, vol. 88(C), pages 528-543.
    3. Hughes, Nick & Strachan, Neil & Gross, Robert, 2013. "The structure of uncertainty in future low carbon pathways," Energy Policy, Elsevier, vol. 52(C), pages 45-54.
    4. Kwakkel, Jan H. & Auping, Willem L. & Pruyt, Erik, 2013. "Dynamic scenario discovery under deep uncertainty: The future of copper," Technological Forecasting and Social Change, Elsevier, vol. 80(4), pages 789-800.
    5. Masini, Andrea & Menichetti, Emanuela, 2012. "The impact of behavioural factors in the renewable energy investment decision making process: Conceptual framework and empirical findings," Energy Policy, Elsevier, vol. 40(C), pages 28-38.
    6. Andrea Masini & E. Menichetti, 2012. "The impact of behavioural factors in the renewable energy investment decision making process: Conceptual framework and empirical findings," Post-Print hal-00651706, HAL.
    7. Wright, George & Goodwin, Paul, 2009. "Decision making and planning under low levels of predictability: Enhancing the scenario method," International Journal of Forecasting, Elsevier, vol. 25(4), pages 813-825, October.
    8. Hughes, Nick, 2013. "Towards improving the relevance of scenarios for public policy questions: A proposed methodological framework for policy relevant low carbon scenarios," Technological Forecasting and Social Change, Elsevier, vol. 80(4), pages 687-698.
    9. Prokopczuk, Marcel & Rachev, Svetlozar T. & Schindlmayr, Gero & Truck, Stefan, 2007. "Quantifying risk in the electricity business: A RAROC-based approach," Energy Economics, Elsevier, vol. 29(5), pages 1033-1049, September.
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    Cited by:

    1. Faezeh Akhavizadegan & Lizhi Wang & James McCalley, 2020. "Scenario Selection for Iterative Stochastic Transmission Expansion Planning," Energies, MDPI, vol. 13(5), pages 1-18, March.
    2. Vassilis Stavrakas & Nikos Kleanthis & Alexandros Flamos, 2020. "An Ex-Post Assessment of RES-E Support in Greece by Investigating the Monetary Flows and the Causal Relationships in the Electricity Market," Energies, MDPI, vol. 13(17), pages 1-29, September.
    3. Alexandra G. Papadopoulou & George Vasileiou & Alexandros Flamos, 2020. "A Comparison of Dispatchable RES Technoeconomics: Is There a Niche for Concentrated Solar Power?," Energies, MDPI, vol. 13(18), pages 1-22, September.
    4. Michas, Serafeim & Stavrakas, Vassilis & Papadelis, Sotiris & Flamos, Alexandros, 2020. "A transdisciplinary modeling framework for the participatory design of dynamic adaptive policy pathways," Energy Policy, Elsevier, vol. 139(C).

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