IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i3p1139-d741687.html
   My bibliography  Save this article

Assessment of the Electricity System Transition towards High Share of Renewable Energy Sources in South Asian Countries

Author

Listed:
  • Aqsa Rana

    (Department of Energy Engineering, Faculty of Mechanical Engineering, Budapest University of Technology, Műegyetem rkp. 3, H-1111 Budapest, Hungary)

  • Gyula Gróf

    (Center for Energy Research, Konkoly-Thege Miklós út 29-33, H-1121 Budapest, Hungary)

Abstract

The progressive use of renewable energy sources to ensure a continuous and abundant energy supply is the significant target towards a sustainable and secure energy system. Previously, the countries that had relied on fossil fuel as a dominating energy source are now endorsing energy system transition towards renewable energy sources. In this study, a comparative assessment of the energy problems of South Asian countries is summarized. Nevertheless, there are many similarities and differences in the electricity supply system of these countries. Long-term planning for renewable energy development is suggested for a diverse population and dispersed geographical location considering all the significant challenges. However, appropriate schemes are imperative for integrating significant renewable energy sources. This study introduces a foresight plan of the electricity model according to the demand and supply balance for extensive technical analysis. The EnergyPLAN modeling tool was employed to work out a more ambitious VRE integration scenario than the official plans. The reference model was validated according to legitimate and authentic data, and then, the technically most feasible renewable energy-based alternate scenario was built. The additional grid integration cost of variable renewable energy was quantitatively investigated for comprehensive power system modeling for a real-time economic analysis. The results may be adapted and support developing more sustainable power generation serving 1787 million in South Asian countries.

Suggested Citation

  • Aqsa Rana & Gyula Gróf, 2022. "Assessment of the Electricity System Transition towards High Share of Renewable Energy Sources in South Asian Countries," Energies, MDPI, vol. 15(3), pages 1-23, February.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:3:p:1139-:d:741687
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/3/1139/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/15/3/1139/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ringkjøb, Hans-Kristian & Haugan, Peter M. & Solbrekke, Ida Marie, 2018. "A review of modelling tools for energy and electricity systems with large shares of variable renewables," Renewable and Sustainable Energy Reviews, Elsevier, vol. 96(C), pages 440-459.
    2. Deane, J.P. & Driscoll, Á. & Gallachóir, B.P Ó, 2015. "Quantifying the impacts of national renewable electricity ambitions using a North–West European electricity market model," Renewable Energy, Elsevier, vol. 80(C), pages 604-609.
    3. Muis, Z.A. & Hashim, H. & Manan, Z.A. & Taha, F.M. & Douglas, P.L., 2010. "Optimal planning of renewable energy-integrated electricity generation schemes with CO2 reduction target," Renewable Energy, Elsevier, vol. 35(11), pages 2562-2570.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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).
    2. Wei Liao & Yi Yang & Qingwei Wang & Ruoyu Wang & Xieli Fu & Yinghua Xie & Junhua Zhao, 2023. "Interpretable Hybrid Experiment Learning-Based Simulation Analysis of Power System Planning under the Spot Market Environment," Energies, MDPI, vol. 16(12), pages 1-17, June.

    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. Dagoumas, Athanasios S. & Koltsaklis, Nikolaos E., 2019. "Review of models for integrating renewable energy in the generation expansion planning," Applied Energy, Elsevier, vol. 242(C), pages 1573-1587.
    2. Gyanwali, Khem & Komiyama, Ryoichi & Fujii, Yasumasa, 2020. "Representing hydropower in the dynamic power sector model and assessing clean energy deployment in the power generation mix of Nepal," Energy, Elsevier, vol. 202(C).
    3. Sam Hamels, 2021. "CO 2 Intensities and Primary Energy Factors in the Future European Electricity System," Energies, MDPI, vol. 14(8), pages 1-30, April.
    4. Morstyn, Thomas & Collett, Katherine A. & Vijay, Avinash & Deakin, Matthew & Wheeler, Scot & Bhagavathy, Sivapriya M. & Fele, Filiberto & McCulloch, Malcolm D., 2020. "OPEN: An open-source platform for developing smart local energy system applications," Applied Energy, Elsevier, vol. 275(C).
    5. Nathalie Spittler & Ganna Gladkykh & Arnaud Diemer & Brynhildur Davidsdottir, 2019. "Understanding the Current Energy Paradigm and Energy System Models for More Sustainable Energy System Development," Post-Print hal-02127724, HAL.
    6. 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).
    7. Maria Taljegard & Lisa Göransson & Mikael Odenberger & Filip Johnsson, 2021. "To Represent Electric Vehicles in Electricity Systems Modelling—Aggregated Vehicle Representation vs. Individual Driving Profiles," Energies, MDPI, vol. 14(3), pages 1-25, January.
    8. Gils, Hans Christian & Gardian, Hedda & Kittel, Martin & Schill, Wolf-Peter & Zerrahn, Alexander & Murmann, Alexander & Launer, Jann & Fehler, Alexander & Gaumnitz, Felix & van Ouwerkerk, Jonas & Bußa, 2022. "Modeling flexibility in energy systems — comparison of power sector models based on simplified test cases," Renewable and Sustainable Energy Reviews, Elsevier, vol. 158(C).
    9. Collins, Seán & Deane, J.P. & Ó Gallachóir, Brian, 2017. "Adding value to EU energy policy analysis using a multi-model approach with an EU-28 electricity dispatch model," Energy, Elsevier, vol. 130(C), pages 433-447.
    10. Francesco Bandarin & Enrico Ciciotti & Marco Cremaschi & Giovanna Madera & Paolo Perulli & Diana Shendrikova, 2020. "Which Future for Cities after COVID-19 An international Survey," Reports, Fondazione Eni Enrico Mattei, October.
    11. Koltsaklis, Nikolaos E. & Nazos, Konstantinos, 2017. "A stochastic MILP energy planning model incorporating power market dynamics," Applied Energy, Elsevier, vol. 205(C), pages 1364-1383.
    12. Hossein Yousefi & Mohammad Hasan Ghodusinejad & Armin Ghodrati, 2022. "Multi-Criteria Future Energy System Planning and Analysis for Hot Arid Areas of Iran," Energies, MDPI, vol. 15(24), pages 1-25, December.
    13. Leonard Goke & Jens Weibezahn & Christian von Hirschhausen, 2021. "A collective blueprint, not a crystal ball: How expectations and participation shape long-term energy scenarios," Papers 2112.04821, arXiv.org, revised Dec 2022.
    14. Thomas Pregger & Tobias Naegler & Wolfgang Weimer-Jehle & Sigrid Prehofer & Wolfgang Hauser, 2020. "Moving towards socio-technical scenarios of the German energy transition—lessons learned from integrated energy scenario building," Climatic Change, Springer, vol. 162(4), pages 1743-1762, October.
    15. Theresa Liegl & Simon Schramm & Philipp Kuhn & Thomas Hamacher, 2023. "Considering Socio-Technical Parameters in Energy System Models—The Current Status and Next Steps," Energies, MDPI, vol. 16(20), pages 1-19, October.
    16. Lisa Göransson & Caroline Granfeldt & Ann-Brith Strömberg, 2021. "Management of Wind Power Variations in Electricity System Investment Models," SN Operations Research Forum, Springer, vol. 2(2), pages 1-30, June.
    17. Ye, Bin & Yang, Peng & Jiang, Jingjing & Miao, Lixin & Shen, Bo & Li, Ji, 2017. "Feasibility and economic analysis of a renewable energy powered special town in China," Resources, Conservation & Recycling, Elsevier, vol. 121(C), pages 40-50.
    18. Alexis Tantet & Philippe Drobinski, 2021. "A Minimal System Cost Minimization Model for Variable Renewable Energy Integration: Application to France and Comparison to Mean-Variance Analysis," Energies, MDPI, vol. 14(16), pages 1-38, August.
    19. Fridgen, Gilbert & Keller, Robert & Körner, Marc-Fabian & Schöpf, Michael, 2020. "A holistic view on sector coupling," Energy Policy, Elsevier, vol. 147(C).
    20. Wadim Strielkowski & Dalia Streimikiene & Alena Fomina & Elena Semenova, 2019. "Internet of Energy (IoE) and High-Renewables Electricity System Market Design," Energies, MDPI, vol. 12(24), pages 1-17, December.

    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:gam:jeners:v:15:y:2022:i:3:p:1139-:d:741687. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.