IDEAS home Printed from https://ideas.repec.org/a/eco/journ2/2021-04-3.html
   My bibliography  Save this article

A Review on Prospective Energy Models: The Moroccan Case

Author

Listed:
  • Mohamed Defaf

    (Mohammadia School of Engineers, Mohammed V University of Rabat, Ibn Sina avenue B.P 765, Agdal, Rabat, Morocco.)

  • Mohamed Tkiouat

    (Mohammadia School of Engineers, Mohammed V University of Rabat, Ibn Sina avenue B.P 765, Agdal, Rabat, Morocco.)

Abstract

Nowadays, energy modeling is among the most required tools for the optimization of the energy system performance on a regional, national and global scale. The need for studies of energy models is justified by the increasing energetic demand, the evolution of power generation technologies and the transition to modern economics for developing countries. The aim of this study is to provide different aspects, techniques and characteristics of the existing energy models in literature. A better understanding of each model framework and requirements may lead to a better analysis of the Moroccan energy system description and criticism of its performance and ability to cope with the government international engagements concerning greenhouse gases emissions and also national engagements mostly the need to overcome the demand-supply related issues.

Suggested Citation

  • Mohamed Defaf & Mohamed Tkiouat, 2021. "A Review on Prospective Energy Models: The Moroccan Case," International Journal of Energy Economics and Policy, Econjournals, vol. 11(4), pages 14-23.
  • Handle: RePEc:eco:journ2:2021-04-3
    as

    Download full text from publisher

    File URL: https://www.econjournals.com/index.php/ijeep/article/download/8505/5879
    Download Restriction: no

    File URL: https://www.econjournals.com/index.php/ijeep/article/view/8505/5879
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Bazmi, Aqeel Ahmed & Zahedi, Gholamreza, 2011. "Sustainable energy systems: Role of optimization modeling techniques in power generation and supply—A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(8), pages 3480-3500.
    2. Adams, F. Gerard & Shachmurove, Yochanan, 2008. "Modeling and forecasting energy consumption in China: Implications for Chinese energy demand and imports in 2020," Energy Economics, Elsevier, vol. 30(3), pages 1263-1278, May.
    Full references (including those not matched with items on IDEAS)

    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. de Queiroz, Anderson Rodrigo, 2016. "Stochastic hydro-thermal scheduling optimization: An overview," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 382-395.
    2. Oyedepo, Sunday Olayinka, 2014. "Towards achieving energy for sustainable development in Nigeria," Renewable and Sustainable Energy Reviews, Elsevier, vol. 34(C), pages 255-272.
    3. Morgan Bazilian & Patrick Nussbaumer & Hans-Holger Rogner & Abeeku Brew-Hammond & Vivien Foster & Shonali Pachauri & Eric Williams & Mark Howells & Philippe Niyongabo & Lawrence Musaba & Brian Ó Galla, 2011. "Energy Access Scenarios to 2030 for the Power Sector in Sub-Saharan Africa," Working Papers 2011.68, Fondazione Eni Enrico Mattei.
    4. Hori, Keiko & Matsui, Takanori & Hasuike, Takashi & Fukui, Ken-ichi & Machimura, Takashi, 2016. "Development and application of the renewable energy regional optimization utility tool for environmental sustainability: REROUTES," Renewable Energy, Elsevier, vol. 93(C), pages 548-561.
    5. Alvarez-Ramirez, Jose & Alvarez, Jesus & Rodriguez, Eduardo, 2008. "Short-term predictability of crude oil markets: A detrended fluctuation analysis approach," Energy Economics, Elsevier, vol. 30(5), pages 2645-2656, September.
    6. Walls, W.D., 2010. "Petroleum refining industry in China," Energy Policy, Elsevier, vol. 38(5), pages 2110-2115, May.
    7. Wilko Heitkoetter & Wided Medjroubi & Thomas Vogt & Carsten Agert, 2019. "Comparison of Open Source Power Grid Models—Combining a Mathematical, Visual and Electrical Analysis in an Open Source Tool," Energies, MDPI, vol. 12(24), pages 1-15, December.
    8. Michieka, Nyakundi M. & Fletcher, Jerald & Burnett, Wesley, 2013. "An empirical analysis of the role of China’s exports on CO2 emissions," Applied Energy, Elsevier, vol. 104(C), pages 258-267.
    9. Wu, Gang & Zhang, Yue-Jun, 2014. "Does China factor matter? An econometric analysis of international crude oil prices," Energy Policy, Elsevier, vol. 72(C), pages 78-86.
    10. Broich, T. & Szirmai, A., 2014. "China's economic embrace of Africa: An international comparative perspective," MERIT Working Papers 2014-049, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    11. Chen, Jiandong & Xu, Chong & Shahbaz, Muhammad & Song, Malin, 2021. "Interaction determinants and projections of China’s energy consumption: 1997–2030," Applied Energy, Elsevier, vol. 283(C).
    12. Memon, Mudasir Ahmed & Mekhilef, Saad & Mubin, Marizan & Aamir, Muhammad, 2018. "Selective harmonic elimination in inverters using bio-inspired intelligent algorithms for renewable energy conversion applications: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 2235-2253.
    13. Li, Sisi & Khan, Sufyan Ullah & Yao, Yao & Chen, George S. & Zhang, Lin & Salim, Ruhul & Huo, Jiaying, 2022. "Estimating the long-run crude oil demand function of China: Some new evidence and policy options," Energy Policy, Elsevier, vol. 170(C).
    14. Shahateet, Mohammed & Bdour, Jaber, 2010. "Consumption of Electricity and Oil in Jordan: A non-parametric analysis using B-splines," MPRA Paper 57352, University Library of Munich, Germany, revised 2010.
    15. Bargos, Fabiano Fernandes & Lamas, Wendell de Queiróz & Bilato, Gabriel Adam, 2018. "Computational tools and operational research for optimal design of co-generation systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 93(C), pages 507-516.
    16. Bracco, Stefano & Delfino, Federico & Pampararo, Fabio & Robba, Michela & Rossi, Mansueto, 2013. "The University of Genoa smart polygeneration microgrid test-bed facility: The overall system, the technologies and the research challenges," Renewable and Sustainable Energy Reviews, Elsevier, vol. 18(C), pages 442-459.
    17. Guerra, Omar J. & Reklaitis, Gintaras V., 2018. "Advances and challenges in water management within energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 4009-4019.
    18. Charikleia Karakosta, 2016. "A Holistic Approach for Addressing the Issue of Effective Technology Transfer in the Frame of Climate Change," Energies, MDPI, vol. 9(7), pages 1-20, June.
    19. Tan, Wen-Shan & Hassan, Mohammad Yusri & Majid, Md Shah & Abdul Rahman, Hasimah, 2013. "Optimal distributed renewable generation planning: A review of different approaches," Renewable and Sustainable Energy Reviews, Elsevier, vol. 18(C), pages 626-645.
    20. Weitzel, Timm & Glock, Christoph H., 2018. "Energy management for stationary electric energy storage systems: A systematic literature review," European Journal of Operational Research, Elsevier, vol. 264(2), pages 582-606.

    More about this item

    Keywords

    Energy modeling; Multi-agents models; Moroccan energy system;
    All these keywords.

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources
    • Q56 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environment and Development; Environment and Trade; Sustainability; Environmental Accounts and Accounting; Environmental Equity; Population Growth

    Statistics

    Access and download statistics

    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:eco:journ2:2021-04-3. 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: Ilhan Ozturk (email available below). General contact details of provider: http://www.econjournals.com .

    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.