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Long-term optimisation model of the Tunisian power system

Author

Listed:
  • Dhakouani, Asma
  • Gardumi, Francesco
  • Znouda, Essia
  • Bouden, Chiheb
  • Howells, Mark

Abstract

The electricity mix in Tunisia mainly relied on conventional energy sources for over 50 years. Recently, due to fossil fuel prices oscillations and national reserves shortage, the need arose for restructuring the energy supply system. Targeting the integration of renewable energies could be a plan for satisfying the increasing demand and the supply independence. However, several macroeconomic conditions and policies present barriers for the integration of Renewable Energy Sources (RES), despite their abundance, availability and environmental benefits.

Suggested Citation

  • Dhakouani, Asma & Gardumi, Francesco & Znouda, Essia & Bouden, Chiheb & Howells, Mark, 2017. "Long-term optimisation model of the Tunisian power system," Energy, Elsevier, vol. 141(C), pages 550-562.
    • Handle: RePEc:eee:energy:v:141:y:2017:i:c:p:550-562
    DOI: 10.1016/j.energy.2017.09.093
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    Citations

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    Cited by:

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    2. Østergaard, P.A. & Lund, H. & Thellufsen, J.Z. & Sorknæs, P. & Mathiesen, B.V., 2022. "Review and validation of EnergyPLAN," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    3. Tanoto, Yusak & Haghdadi, Navid & Bruce, Anna & MacGill, Iain, 2021. "Reliability-cost trade-offs for electricity industry planning with high variable renewable energy penetrations in emerging economies: A case study of Indonesia’s Java-Bali grid," Energy, Elsevier, vol. 227(C).
    4. Emodi, Nnaemeka Vincent & Chaiechi, Taha & Alam Beg, A.B.M. Rabiul, 2019. "Are emission reduction policies effective under climate change conditions? A backcasting and exploratory scenario approach using the LEAP-OSeMOSYS Model," Applied Energy, Elsevier, vol. 236(C), pages 1183-1217.
    5. Dennis Dreier & Mark Howells, 2019. "OSeMOSYS-PuLP: A Stochastic Modeling Framework for Long-Term Energy Systems Modeling," Energies, MDPI, vol. 12(7), pages 1-26, April.
    6. Makhloufi, Saida & Khennas, Smail & Bouchaib, Sami & Arab, Amar Hadj, 2022. "Multi-objective cuckoo search algorithm for optimized pathways for 75 % renewable electricity mix by 2050 in Algeria," Renewable Energy, Elsevier, vol. 185(C), pages 1410-1424.
    7. Atabaki, Mohammad Saeid & Aryanpur, Vahid, 2018. "Multi-objective optimization for sustainable development of the power sector: An economic, environmental, and social analysis of Iran," Energy, Elsevier, vol. 161(C), pages 493-507.
    8. Francesco Gardumi & Manuel Welsch & Mark Howells & Emanuela Colombo, 2019. "Representation of Balancing Options for Variable Renewables in Long-Term Energy System Models: An Application to OSeMOSYS," Energies, MDPI, vol. 12(12), pages 1-22, June.
    9. Rady, Yassin Yehia & Rocco, Matteo V. & Serag-Eldin, M.A. & Colombo, Emanuela, 2018. "Modelling for power generation sector in Developing Countries: Case of Egypt," Energy, Elsevier, vol. 165(PB), pages 198-209.
    10. Dhakouani, Asma & Znouda, Essia & Bouden, Chiheb, 2019. "Impacts of energy efficiency policies on the integration of renewable energy," Energy Policy, Elsevier, vol. 133(C).

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