IDEAS home Printed from https://ideas.repec.org/a/eee/enepol/v37y2009i2p472-483.html
   My bibliography  Save this article

Economically optimized electricity trade modeling: Iran-Turkey case

Author

Listed:
  • Shakouri G., H.
  • Eghlimi, M.
  • Manzoor, D.

Abstract

The advantages of power trade between countries, which are attainable for various facts, are distinguished now. Daily differences in the peak-load times of neighboring countries commonly occur for differences in the longitudes of their location. Seasonal differences are also caused by differences in the latitudes leading to different climates. Consequently, different load curves help to have such a production schedule that reduces blackouts and investments for power generation by planning for a proper trade between countries in a region. This paper firstly describes the methodology and framework for the power trade and then the results of an optimal power trade model between Iran and Turkey, which shows a potential benefit for both countries by peak shaving, are presented. The results, in the worst case design, represent optimality of about 1500Â MW electricity export from Iran to Turkey at the Turkish peak times, as well as 447Â MW electricity import from Turkey at the Iranian peak times. In addition, results derived from running a Long-Run model show that there will be greater potential for power export from Iran to Turkey, which is a guideline of an energy conservation strategy for both countries in the future.

Suggested Citation

  • Shakouri G., H. & Eghlimi, M. & Manzoor, D., 2009. "Economically optimized electricity trade modeling: Iran-Turkey case," Energy Policy, Elsevier, vol. 37(2), pages 472-483, February.
  • Handle: RePEc:eee:enepol:v:37:y:2009:i:2:p:472-483
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0301-4215(08)00514-4
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Peter A. Schulkin, 1993. "Analysis," Challenge, Taylor & Francis Journals, vol. 36(5), pages 59-60, September.
    2. James M. Griffin, 1993. "Methodological Advances in Energy Modelling: 1970-1990," The Energy Journal, , vol. 14(1), pages 111-124, January.
    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. 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.
    2. Jiahai Yuan & Yurong Zeng & Xiaoxuan Guo & Yu Ai & Minpeng Xiong, 2018. "Electric Power Investment Risk Assessment for Belt and Road Initiative Nations," Sustainability, MDPI, vol. 10(9), pages 1-21, August.
    3. Selçuklu, Saltuk Buğra & Coit, D.W. & Felder, F.A., 2023. "Electricity generation portfolio planning and policy implications of Turkish power system considering cost, emission, and uncertainty," Energy Policy, Elsevier, vol. 173(C).
    4. Dagoumas, Athanasios S. & Koltsaklis, Nikolasos E. & Panapakidis, Ioannis P., 2017. "An integrated model for risk management in electricity trade," Energy, Elsevier, vol. 124(C), pages 350-363.
    5. Leila Mirtajadini & Shamsollah Shirin Bakhsh & Mir Hossein Mousavi & Kioumars Heydari & Saman Yousefvand, 2023. "Prediction of Electricity Trade Partners Based on the Network Theory: The West Asia Community," Foreign Trade Review, , vol. 58(4), pages 544-557, November.
    6. Srinivasan, Sunderasan, 2013. "Electricity as a traded good," Energy Policy, Elsevier, vol. 62(C), pages 1048-1052.
    7. Koltsaklis, Nikolaos E. & Dagoumas, Athanasios S., 2018. "State-of-the-art generation expansion planning: A review," Applied Energy, Elsevier, vol. 230(C), pages 563-589.
    8. Nikolaos E. Koltsaklis & Athanasios S. Dagoumas, 2021. "A power system scheduling model with carbon intensity and ramping capacity constraints," Operational Research, Springer, vol. 21(1), pages 647-687, March.

    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. Franz F. Eiffe & Karin Heitzmann, 2006. "Armut im Kontext reicher Staaten: zur wissenschaftlichen Operationalisierung eines normativen Begriffs," Vierteljahrshefte zur Wirtschaftsforschung / Quarterly Journal of Economic Research, DIW Berlin, German Institute for Economic Research, vol. 75(1), pages 43-57.
    2. Bartholy, J. & Radics, K. & Bohoczky, F., 2003. "Present state of wind energy utilisation in Hungary: policy, wind climate, and modelling studies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 7(2), pages 175-186, April.
    3. A. Carrara & F. Guzzetti & M. Cardinali & P. Reichenbach, 1999. "Use of GIS Technology in the Prediction and Monitoring of Landslide Hazard," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 20(2), pages 117-135, November.
    4. Xydis, George, 2013. "A techno-economic and spatial analysis for the optimal planning of wind energy in Kythira island, Greece," International Journal of Production Economics, Elsevier, vol. 146(2), pages 440-452.
    5. Dawit, Woubishet, 2009. "Fuel Efficient Technology Adoption in Ethiopia: Evidence from Improved “Mirt” Stove Technology: a Case in Selected Kebeles from “Adea” Wereda," Ethiopian Journal of Economics, Ethiopian Economics Association, vol. 17(2), pages 107-107, August.
    6. George Xydis & Evanthia Nanaki, 2015. "Wind Energy Based Electric Vehicle Charging Stations Sitting. A GIS/Wind Resource Assessment Approach," Challenges, MDPI, vol. 6(2), pages 1-13, November.

    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:eee:enepol:v:37:y:2009:i:2:p:472-483. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/enpol .

    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.