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Exploring drivers of energy demand in Cyprus – Scenarios and policy options

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  • Zachariadis, Theodoros
  • Taibi, Emanuele

Abstract

This paper describes a new set of energy demand forecasts for the Republic of Cyprus up to the year 2040, which have been developed in support of the renewable energy roadmap that was prepared for national authorities by the International Renewable Energy Agency. The analysis takes into account national end-use data from the residential and tertiary sector that had not been exploited up to now. Four final energy demand scenarios with diverging assumptions were defined in this study, offering a wide range of possible outcomes up to 2040; in addition, four alternative scenarios were applied for sensitivity analysis. Two of these scenarios can be regarded as those continuing the trends of the recent past in Cyprus (prior to the economic and financial downturn of years 2011–2014). However, a more rigorous implementation of energy efficiency measures in buildings and transport, as defined in the fourth scenario of this study, is also realistic; despite its potential costs, it might allow Cyprus both to decrease its carbon emissions in line with the long-term EU decarbonisation targets, and to reduce its dependence on fossil fuels, thereby promoting energy efficiency as an important climate change adaptation measure.

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  • Zachariadis, Theodoros & Taibi, Emanuele, 2015. "Exploring drivers of energy demand in Cyprus – Scenarios and policy options," Energy Policy, Elsevier, vol. 86(C), pages 166-175.
    • Handle: RePEc:eee:enepol:v:86:y:2015:i:c:p:166-175
    DOI: 10.1016/j.enpol.2015.07.003
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    References listed on IDEAS

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    1. Zachariadis, Theodoros & Hadjinicolaou, Panos, 2014. "The effect of climate change on electricity needs – A case study from Mediterranean Europe," Energy, Elsevier, vol. 76(C), pages 899-910.
    2. Poullikkas, Andreas & Kourtis, George & Hadjipaschalis, Ioannis, 2011. "A hybrid model for the optimum integration of renewable technologies in power generation systems," Energy Policy, Elsevier, vol. 39(2), pages 926-935, February.
    3. J. Lelieveld & P. Hadjinicolaou & E. Kostopoulou & J. Chenoweth & M. Maayar & C. Giannakopoulos & C. Hannides & M. Lange & M. Tanarhte & E. Tyrlis & E. Xoplaki, 2012. "Climate change and impacts in the Eastern Mediterranean and the Middle East," Climatic Change, Springer, vol. 114(3), pages 667-687, October.
    4. Bhattacharyya, Subhes C. & Timilsina, Govinda R., 2009. "Energy demand models for policy formulation : a comparative study of energy demand models," Policy Research Working Paper Series 4866, The World Bank.
    5. Poullikkas, Andreas, 2015. "Sustainable options for electric vehicle technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 1277-1287.
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    Citations

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    1. Theodoros Zachariadis, 2015. "How Can Cyprus Meet Its Energy and Climate Policy Commitments? The Importance of a Carbon Tax," Cyprus Economic Policy Review, University of Cyprus, Economics Research Centre, vol. 9(2), pages 3-20, December.
    2. Michail Tsangas & Mejdi Jeguirim & Lionel Limousy & Antonis Zorpas, 2019. "The Application of Analytical Hierarchy Process in Combination with PESTEL-SWOT Analysis to Assess the Hydrocarbons Sector in Cyprus," Energies, MDPI, vol. 12(5), pages 1-17, February.
    3. Taliotis, Constantinos & Rogner, Holger & Ressl, Stephan & Howells, Mark & Gardumi, Francesco, 2017. "Natural gas in Cyprus: The need for consolidated planning," Energy Policy, Elsevier, vol. 107(C), pages 197-209.
    4. Demetriou, E. & Mallouppas, G. & Hadjistassou, C., 2021. "Embracing carbon neutral electricity and transportation sectors in Cyprus," Energy, Elsevier, vol. 229(C).
    5. Theodoros Zachariadis, 2016. "Proposal for a Green Tax Reform in Cyprus," Cyprus Economic Policy Review, University of Cyprus, Economics Research Centre, vol. 10(2), pages 127-139, December.
    6. Theodoros Zachariadis & Apostolos Michopoulos & Yannis Vougiouklakis & Benjamin Struss & Katerina Piripitsi & Christodoulos Ellinopoulos, 2017. "In-Depth Assessment of the Energy Efficiency Potential in Cyprus," Cyprus Economic Policy Review, University of Cyprus, Economics Research Centre, vol. 11(2), pages 86-112, December.
    7. Theodoros Zachariadis & Constantinos Taliotis & Nestor Fylaktos & Marios Karmellos & Elias Giannakis & Sofia Andreou, 2020. "Environmental and Economic Impacts of the National Energy and Climate Plan of Cyprus," Cyprus Economic Policy Review, University of Cyprus, Economics Research Centre, vol. 14(1), pages 1-15, June.
    8. Zachariadis,Theodoros & Giannakis,Elias & Taliotis,Constantinos & Karmellos,Marios & Fylaktos,Nestor & Howells,Mark Idwal & Blyth,William James & Hallegatte,Stephane, 2021. ""Building Back Better" in Practice: A Science-Policy Framework for a Green Economic Recovery after COVID-19," Policy Research Working Paper Series 9528, The World Bank.
    9. Yves Bettignies & Joao Meirelles & Gabriela Fernandez & Franziska Meinherz & Paul Hoekman & Philippe Bouillard & Aristide Athanassiadis, 2019. "The Scale-Dependent Behaviour of Cities: A Cross-Cities Multiscale Driver Analysis of Urban Energy Use," Sustainability, MDPI, vol. 11(12), pages 1-20, June.

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