IDEAS home Printed from https://ideas.repec.org/a/eee/jrpoli/v50y2016icp193-203.html
   My bibliography  Save this article

Forecasting the coal production: Hubbert curve application on Turkey's lignite fields

Author

Listed:
  • Berk, Istemi
  • Ediger, Volkan Ş.

Abstract

The dependence on imported energy sources is one of the biggest challenges that Turkey and many other similar countries face in the 21st Century and the gap between production and consumption cannot be decreased without increasing the domestic production. Forecasting of domestic energy production therefore plays a vital role in order to be able to develop sound energy policies towards maintaining sustainable development. However, although this question is essential in this respect especially for import dependent countries, the previous literature is surprisingly scarce. This paper, therefore, will be important for future studies on estimation of energy production. We first analyzed lignite production of Turkish Coal Enterprises (TKI) from a historical perspective and then forecasted the future production by using the Hubbert curve, depletion rate, and decline curve methodologies. We concluded that the largest fields are about to enter a declining phase of production in upcoming years and most of the reserves will remain untapped if business-as-usual continues in the future. The methodology and interpretations may be used by other developing countries, which deeply suffer from energy import dependency.

Suggested Citation

  • Berk, Istemi & Ediger, Volkan Ş., 2016. "Forecasting the coal production: Hubbert curve application on Turkey's lignite fields," Resources Policy, Elsevier, vol. 50(C), pages 193-203.
    • Handle: RePEc:eee:jrpoli:v:50:y:2016:i:c:p:193-203
    DOI: 10.1016/j.resourpol.2016.10.002
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0301420716302537
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.resourpol.2016.10.002?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    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. Cinar, Didem & Kayakutlu, Gulgun & Daim, Tugrul, 2010. "Development of future energy scenarios with intelligent algorithms: Case of hydro in Turkey," Energy, Elsevier, vol. 35(4), pages 1724-1729.
    2. Bardi, Ugo, 2009. "Peak oil: The four stages of a new idea," Energy, Elsevier, vol. 34(3), pages 323-326.
    3. Ediger, Volkan S. & Akar, Sertac & Ugurlu, Berkin, 2006. "Forecasting production of fossil fuel sources in Turkey using a comparative regression and ARIMA model," Energy Policy, Elsevier, vol. 34(18), pages 3836-3846, December.
    4. Reynolds, Douglas B., 2014. "World oil production trend: Comparing Hubbert multi-cycle curves," Ecological Economics, Elsevier, vol. 98(C), pages 62-71.
    5. Höök, Mikael & Hirsch, Robert & Aleklett, Kjell, 2009. "Giant oil field decline rates and their influence on world oil production," Energy Policy, Elsevier, vol. 37(6), pages 2262-2272, June.
    6. Jakobsson, Kristofer & Söderbergh, Bengt & Snowden, Simon & Aleklett, Kjell, 2014. "Bottom-up modeling of oil production: A review of approaches," Energy Policy, Elsevier, vol. 64(C), pages 113-123.
    7. Kaufmann, Robert K., 1991. "Oil production in the lower 48 states : Reconciling curve fitting and econometric models," Resources and Energy, Elsevier, vol. 13(1), pages 111-127, April.
    8. Mackay, R. M. & Probert, S. D., 1995. "Crude oil and natural gas supplies and demands up to the year 2010 for France," Applied Energy, Elsevier, vol. 50(3), pages 185-208.
    9. Tao, Zaipu & Li, Mingyu, 2007. "What is the limit of Chinese coal supplies--A STELLA model of Hubbert Peak," Energy Policy, Elsevier, vol. 35(6), pages 3145-3154, June.
    10. Sällh, David & Höök, Mikael & Grandell, Leena & Davidsson, Simon, 2014. "Evaluation and update of Norwegian and Danish oil production forecasts and implications for Swedish oil import," Energy, Elsevier, vol. 65(C), pages 333-345.
    11. Fiévet, L. & Forró, Z. & Cauwels, P. & Sornette, D., 2015. "A general improved methodology to forecasting future oil production: Application to the UK and Norway," Energy, Elsevier, vol. 79(C), pages 288-297.
    12. Mackay, R. M. & Probert, S. D., 1995. "Crude oil and natural gas supplies and demands for Denmark," Applied Energy, Elsevier, vol. 50(3), pages 209-232.
    13. Wang, Jianliang & Feng, Lianyong & Davidsson, Simon & Höök, Mikael, 2013. "Chinese coal supply and future production outlooks," Energy, Elsevier, vol. 60(C), pages 204-214.
    14. Söderbergh, Bengt & Jakobsson, Kristofer & Aleklett, Kjell, 2010. "European energy security: An analysis of future Russian natural gas production and exports," Energy Policy, Elsevier, vol. 38(12), pages 7827-7843, December.
    15. Ediger, Volkan S. & Akar, Sertac, 2007. "ARIMA forecasting of primary energy demand by fuel in Turkey," Energy Policy, Elsevier, vol. 35(3), pages 1701-1708, March.
    16. Pesaran, M. Hashem & Samiei, Hossein, 1995. "Forecasting ultimate resource recovery," International Journal of Forecasting, Elsevier, vol. 11(4), pages 543-555, December.
    17. Brandt, Adam R., 2010. "Review of mathematical models of future oil supply: Historical overview and synthesizing critique," Energy, Elsevier, vol. 35(9), pages 3958-3974.
    18. Jakobsson, Kristofer & Bentley, Roger & Söderbergh, Bengt & Aleklett, Kjell, 2012. "The end of cheap oil: Bottom-up economic and geologic modeling of aggregate oil production curves," Energy Policy, Elsevier, vol. 41(C), pages 860-870.
    19. Xiong, Ping-ping & Dang, Yao-guo & Yao, Tian-xiang & Wang, Zheng-xin, 2014. "Optimal modeling and forecasting of the energy consumption and production in China," Energy, Elsevier, vol. 77(C), pages 623-634.
    20. Cutler J. Cleveland & Robert K. Kaufmann, 1991. "Forecasting Ultimate Oil Recovery and Its Rate of Production: Incorporating Economic Forces into the Models of M. King Hubbert," The Energy Journal, , vol. 12(2), pages 17-46, April.
    21. Wang, Ting & Lin, Boqiang, 2014. "Impacts of unconventional gas development on China׳s natural gas production and import," Renewable and Sustainable Energy Reviews, Elsevier, vol. 39(C), pages 546-554.
    22. Guseo, Renato & Mortarino, Cinzia & Darda, Md Abud, 2015. "Homogeneous and heterogeneous diffusion models: Algerian natural gas production," Technological Forecasting and Social Change, Elsevier, vol. 90(PB), pages 366-378.
    23. Bentley, R.W. & Mannan, S.A. & Wheeler, S.J., 2007. "Assessing the date of the global oil peak: The need to use 2P reserves," Energy Policy, Elsevier, vol. 35(12), pages 6364-6382, December.
    24. Chavez-Rodriguez, Mauro F. & Szklo, Alexandre & de Lucena, Andre Frossard Pereira, 2015. "Analysis of past and future oil production in Peru under a Hubbert approach," Energy Policy, Elsevier, vol. 77(C), pages 140-151.
    25. Lin, Bo-qiang & Liu, Jiang-hua, 2010. "Estimating coal production peak and trends of coal imports in China," Energy Policy, Elsevier, vol. 38(1), pages 512-519, January.
    26. Ediger, Volkan S. & Berk, Istemi, 2011. "Crude oil import policy of Turkey: Historical analysis of determinants and implications since 1968," Energy Policy, Elsevier, vol. 39(4), pages 2132-2142, April.
    27. Lynch, Michael C., 2002. "Forecasting oil supply: theory and practice," The Quarterly Review of Economics and Finance, Elsevier, vol. 42(2), pages 373-389.
    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. Jun Hao & Xiaolei Sun & Qianqian Feng, 2020. "A Novel Ensemble Approach for the Forecasting of Energy Demand Based on the Artificial Bee Colony Algorithm," Energies, MDPI, vol. 13(3), pages 1-25, January.
    2. Ediger, Volkan Ş. & Berk, Istemi, 2023. "Future availability of natural gas: Can it support sustainable energy transition?," Resources Policy, Elsevier, vol. 85(PA).
    3. Rachidi, Ntebatše R. & Nwaila, Glen T. & Zhang, Steven E. & Bourdeau, Julie E. & Ghorbani, Yousef, 2021. "Assessing cobalt supply sustainability through production forecasting and implications for green energy policies," Resources Policy, Elsevier, vol. 74(C).
    4. Baskoro, Firly Rachmaditya & Takahashi, Katsuhiko & Morikawa, Katsumi & Nagasawa, Keisuke, 2021. "System dynamics approach in determining coal utilization scenario in Indonesia," Resources Policy, Elsevier, vol. 73(C).

    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. Delannoy, Louis & Longaretti, Pierre-Yves & Murphy, David J. & Prados, Emmanuel, 2021. "Peak oil and the low-carbon energy transition: A net-energy perspective," Applied Energy, Elsevier, vol. 304(C).
    2. Reynolds, Douglas B., 2013. "Uncertainty in exhaustible natural resource economics: The irreversible sunk costs of Hotelling," Resources Policy, Elsevier, vol. 38(4), pages 532-541.
    3. Syed Aziz Ur Rehman & Yanpeng Cai & Nayyar Hussain Mirjat & Gordhan Das Walasai & Izaz Ali Shah & Sharafat Ali, 2017. "The Future of Sustainable Energy Production in Pakistan: A System Dynamics-Based Approach for Estimating Hubbert Peaks," Energies, MDPI, vol. 10(11), pages 1-24, November.
    4. Douglas B. Reynolds, 2024. "U.S. shale oil production and trend estimation: Forecasting a Hubbert model," Economic Inquiry, Western Economic Association International, vol. 62(1), pages 468-487, January.
    5. Hallack, Larissa Nogueira & Szklo, Alexandre, 2019. "Assessing the exploratory potential in Brazil by applying a creaming curve variant," Energy Policy, Elsevier, vol. 129(C), pages 672-683.
    6. Suganthi, L. & Samuel, Anand A., 2012. "Energy models for demand forecasting—A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(2), pages 1223-1240.
    7. Debnath, Kumar Biswajit & Mourshed, Monjur, 2018. "Forecasting methods in energy planning models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 88(C), pages 297-325.
    8. Semenychev, V.K. & Kurkin, E.I. & Semenychev, E.V. & Danilova, A.A., 2017. "Multimodel forecasting of non-renewable resources production," Energy, Elsevier, vol. 130(C), pages 448-460.
    9. Chavez-Rodriguez, Mauro F. & Szklo, Alexandre & de Lucena, Andre Frossard Pereira, 2015. "Analysis of past and future oil production in Peru under a Hubbert approach," Energy Policy, Elsevier, vol. 77(C), pages 140-151.
    10. Hu, Yan & Hall, Charles A.S. & Wang, Jianliang & Feng, Lianyong & Poisson, Alexandre, 2013. "Energy Return on Investment (EROI) of China's conventional fossil fuels: Historical and future trends," Energy, Elsevier, vol. 54(C), pages 352-364.
    11. Reynolds, Douglas B. & Baek, Jungho, 2012. "Much ado about Hotelling: Beware the ides of Hubbert," Energy Economics, Elsevier, vol. 34(1), pages 162-170.
    12. Ediger, Volkan Ş. & Berk, Istemi, 2023. "Future availability of natural gas: Can it support sustainable energy transition?," Resources Policy, Elsevier, vol. 85(PA).
    13. Mohn, Klaus, 2009. "Elastic Oil. A primer on the economics of exploration and production," UiS Working Papers in Economics and Finance 2009/10, University of Stavanger.
    14. Johannes Mauritzen, 2017. "The Effect of Oil Prices on Field Production: Evidence from the Norwegian Continental Shelf," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 79(1), pages 124-144, February.
    15. Brandt, Adam R., 2010. "Review of mathematical models of future oil supply: Historical overview and synthesizing critique," Energy, Elsevier, vol. 35(9), pages 3958-3974.
    16. Jakobsson, Kristofer & Söderbergh, Bengt & Snowden, Simon & Aleklett, Kjell, 2014. "Bottom-up modeling of oil production: A review of approaches," Energy Policy, Elsevier, vol. 64(C), pages 113-123.
    17. Chapman, Ian, 2014. "The end of Peak Oil? Why this topic is still relevant despite recent denials," Energy Policy, Elsevier, vol. 64(C), pages 93-101.
    18. Dennis Nchor & Václav Klepáč, 2016. "Prediction of Oil Depletion in Ghana Based on Hubbert's Model," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 64(1), pages 325-331.
    19. Antonio RIBBA, 2010. "Sources of Unemployment Fluctuations in the USA and in the Euro Area in the Last Decade," EcoMod2010 259600141, EcoMod.
    20. Höök, Mikael & Tang, Xu, 2013. "Depletion of fossil fuels and anthropogenic climate change—A review," Energy Policy, Elsevier, vol. 52(C), pages 797-809.

    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:jrpoli:v:50:y:2016:i:c:p:193-203. 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/inca/30467 .

    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.