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Mountainous areas and decentralized energy planning: Insights from Greece

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  • Katsoulakos, Nikolas M.
  • Kaliampakos, Dimitris C.

Abstract

Mountainous areas have particular characteristics, whose influence on energy planning is explored in this paper, through a suitably tailored methodology applied to the case of Greece. The core element of the methodology is a linear optimization model with a “total cost” objective function, which includes financial, as well as external costs and benefits. Altitude proves to have decisive influence on energy optimization results, because it affects energy demand. The improvement of local energy systems provides greater socioeconomic benefits in mountainous settlements, due to the high shares of renewables and energy efficiency interventions in the optimal solutions. Energy poverty can be alleviated by redesigning local energy systems and the structure of the energy market. However, spatial and aesthetic restrictions, presented often in mountainous settlements, may affect the operational costs of energy systems, which is a crucial parameter for confronting energy poverty. Furthermore, the study indicates that it could be better to electrify remote areas, far from electricity grids, by decentralized systems than by grid expansion. The results of this study and the assumptions made about the way in which energy market should function, could be utilized for reconsidering energy policy measures, aiming at supporting sensitive societies to improve their development perspectives.

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  • Katsoulakos, Nikolas M. & Kaliampakos, Dimitris C., 2016. "Mountainous areas and decentralized energy planning: Insights from Greece," Energy Policy, Elsevier, vol. 91(C), pages 174-188.
    • Handle: RePEc:eee:enepol:v:91:y:2016:i:c:p:174-188
    DOI: 10.1016/j.enpol.2016.01.007
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    References listed on IDEAS

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    Cited by:

    1. Magdalena Cyrek & Piotr Cyrek, 2022. "Rural Specificity as a Factor Influencing Energy Poverty in European Union Countries," Energies, MDPI, vol. 15(15), pages 1-24, July.
    2. Papada, Lefkothea & Kaliampakos, Dimitris, 2016. "Developing the energy profile of mountainous areas," Energy, Elsevier, vol. 107(C), pages 205-214.
    3. Stefan Bouzarovski & Harriet Thomson & Marine Cornelis, 2021. "Confronting Energy Poverty in Europe: A Research and Policy Agenda," Energies, MDPI, vol. 14(4), pages 1-19, February.
    4. Tyralis, Hristos & Karakatsanis, Georgios & Tzouka, Katerina & Mamassis, Nikos, 2017. "Exploratory data analysis of the electrical energy demand in the time domain in Greece," Energy, Elsevier, vol. 134(C), pages 902-918.
    5. Papada, Lefkothea & Kaliampakos, Dimitris, 2018. "A Stochastic Model for energy poverty analysis," Energy Policy, Elsevier, vol. 116(C), pages 153-164.
    6. Zhang, Lei & Qin, Quande & Wei, Yi-Ming, 2019. "China's distributed energy policies: Evolution, instruments and recommendation," Energy Policy, Elsevier, vol. 125(C), pages 55-64.

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