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Climate change scenarios for Paraguayan power demand 2017–2050

Author

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  • Angel Manuel Benitez Rodriguez

    (Universidade Federal de Viçosa)

  • Ian Michael Trotter

    (Universidade Federal de Viçosa)

Abstract

Although Paraguay has a surplus of electricity generation capacity, an underdeveloped electricity transmission and distribution infrastructure has constrained economic growth. The trajectory of future electricity demand is therefore important for planning purposes. We create electricity demand scenarios for Paraguay between 2017 and 2050 for two climatic scenarios, the Representative Concentration Pathways (RCPs) 4.5 (medium atmospheric CO2 concentration) and 8.5 (high atmospheric CO2 concentration), in combination with three socio-economic scenarios, the Shared Socio-economic Pathways SSP1, SSP3 and SSP5. Using historical climatic and socio-economic data from 1985 to 2010, we estimate an autoregressive distributed lag model for Paraguayan power demand with an in-sample symmetric mean absolute percentage error (sMAPE) of 2.3% and an out-of-sample (2011–2016) ex-post sMAPE of 4.6%. We re-estimate the parameters on the full dataset 1985–2016 and produce electricity demand projections until 2050 for the selected scenarios. The scenarios show an increase in power demand until the period 2045, after which two of the six scenarios show a decline and the remainder continue increasing at a slower rate. The SSP1- and SSP5-based scenarios reach an annual demand of 65–80 TWh/year around 2045–2050, and the scenarios based on SSP3 reach an annual demand of 100–115 TWh/year around 2050. In addition to aid in energy planning, these scenarios may provide input to negotiations with neighbouring countries regarding Paraguay’s surplus generation capacity.

Suggested Citation

  • Angel Manuel Benitez Rodriguez & Ian Michael Trotter, 2019. "Climate change scenarios for Paraguayan power demand 2017–2050," Climatic Change, Springer, vol. 156(3), pages 425-445, October.
  • Handle: RePEc:spr:climat:v:156:y:2019:i:3:d:10.1007_s10584-019-02470-1
    DOI: 10.1007/s10584-019-02470-1
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    References listed on IDEAS

    as
    1. Jennifer Cronin & Gabrial Anandarajah & Olivier Dessens, 2018. "Climate change impacts on the energy system: a review of trends and gaps," Climatic Change, Springer, vol. 151(2), pages 79-93, November.
    2. Isaac, Morna & van Vuuren, Detlef P., 2009. "Modeling global residential sector energy demand for heating and air conditioning in the context of climate change," Energy Policy, Elsevier, vol. 37(2), pages 507-521, February.
    3. M. Hashem Pesaran & Yongcheol Shin & Richard J. Smith, 2001. "Bounds testing approaches to the analysis of level relationships," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(3), pages 289-326.
    4. Schwert, G William, 2002. "Tests for Unit Roots: A Monte Carlo Investigation," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 5-17, January.
    5. Junichi Fujino, Rajesh Nair, Mikiko Kainuma, Toshihiko Masui and Yuzuru Matsuoka, 2006. "Multi-gas Mitigation Analysis on Stabilization Scenarios Using Aim Global Model," The Energy Journal, International Association for Energy Economics, vol. 0(Special I), pages 343-354.
    6. Uwe Hassler & Jürgen Wolters, 2006. "Autoregressive distributed lag models and cointegration," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 90(1), pages 59-74, March.
    7. Detlef Vuuren & Jae Edmonds & Mikiko Kainuma & Keywan Riahi & Allison Thomson & Kathy Hibbard & George Hurtt & Tom Kram & Volker Krey & Jean-Francois Lamarque & Toshihiko Masui & Malte Meinshausen & N, 2011. "The representative concentration pathways: an overview," Climatic Change, Springer, vol. 109(1), pages 5-31, November.
    8. Zachariadis, Theodoros, 2010. "Forecast of electricity consumption in Cyprus up to the year 2030: The potential impact of climate change," Energy Policy, Elsevier, vol. 38(2), pages 744-750, February.
    9. Ozturk, Ilhan, 2010. "A literature survey on energy-growth nexus," Energy Policy, Elsevier, vol. 38(1), pages 340-349, January.
    10. Detlef Vuuren & Elmar Kriegler & Brian O’Neill & Kristie Ebi & Keywan Riahi & Timothy Carter & Jae Edmonds & Stephane Hallegatte & Tom Kram & Ritu Mathur & Harald Winkler, 2014. "A new scenario framework for Climate Change Research: scenario matrix architecture," Climatic Change, Springer, vol. 122(3), pages 373-386, February.
    11. Chontanawat, Jaruwan & Hunt, Lester C. & Pierse, Richard, 2008. "Does energy consumption cause economic growth?: Evidence from a systematic study of over 100 countries," Journal of Policy Modeling, Elsevier, vol. 30(2), pages 209-220.
    12. Vu, D.H. & Muttaqi, K.M. & Agalgaonkar, A.P. & Bouzerdoum, A., 2017. "Short-term electricity demand forecasting using autoregressive based time varying model incorporating representative data adjustment," Applied Energy, Elsevier, vol. 205(C), pages 790-801.
    13. Khalifa, Ahmed & Caporin, Massimiliano & Di Fonzo, Tommaso, 2019. "Scenario-based forecast for the electricity demand in Qatar and the role of energy efficiency improvements," Energy Policy, Elsevier, vol. 127(C), pages 155-164.
    14. Brian O’Neill & Elmar Kriegler & Keywan Riahi & Kristie Ebi & Stephane Hallegatte & Timothy Carter & Ritu Mathur & Detlef Vuuren, 2014. "A new scenario framework for climate change research: the concept of shared socioeconomic pathways," Climatic Change, Springer, vol. 122(3), pages 387-400, February.
    15. Koli Fatai & Les Oxley & Frank G. Scrimgeour, 2003. "Modeling and Forecasting the Demand for Electricity in New Zealand: A Comparison of Alternative Approaches," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1), pages 75-102.
    16. Payne, James E., 2010. "A survey of the electricity consumption-growth literature," Applied Energy, Elsevier, vol. 87(3), pages 723-731, March.
    17. Adom, Philip Kofi & Bekoe, William, 2012. "Conditional dynamic forecast of electrical energy consumption requirements in Ghana by 2020: A comparison of ARDL and PAM," Energy, Elsevier, vol. 44(1), pages 367-380.
    18. Steven J. Smith and T.M.L. Wigley, 2006. "Multi-Gas Forcing Stabilization with Minicam," The Energy Journal, International Association for Energy Economics, vol. 0(Special I), pages 373-392.
    19. Elmar Kriegler & Jae Edmonds & Stéphane Hallegatte & Kristie Ebi & Tom Kram & Keywan Riahi & Harald Winkler & Detlef Vuuren, 2014. "A new scenario framework for climate change research: the concept of shared climate policy assumptions," Climatic Change, Springer, vol. 122(3), pages 401-414, February.
    20. Mideksa, Torben K. & Kallbekken, Steffen, 2010. "The impact of climate change on the electricity market: A review," Energy Policy, Elsevier, vol. 38(7), pages 3579-3585, July.
    21. C.J. Ziser & Z.Y. Dong & K.P. Wong, 2012. "Incorporating weather uncertainty in demand forecasts for electricity market planning," International Journal of Systems Science, Taylor & Francis Journals, vol. 43(7), pages 1336-1346.
    22. Richard H. Moss & Jae A. Edmonds & Kathy A. Hibbard & Martin R. Manning & Steven K. Rose & Detlef P. van Vuuren & Timothy R. Carter & Seita Emori & Mikiko Kainuma & Tom Kram & Gerald A. Meehl & John F, 2010. "The next generation of scenarios for climate change research and assessment," Nature, Nature, vol. 463(7282), pages 747-756, February.
    23. Gunnar Eskeland & Torben Mideksa, 2010. "Electricity demand in a changing climate," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 15(8), pages 877-897, December.
    24. Kristie Ebi & Stephane Hallegatte & Tom Kram & Nigel Arnell & Timothy Carter & Jae Edmonds & Elmar Kriegler & Ritu Mathur & Brian O’Neill & Keywan Riahi & Harald Winkler & Detlef Vuuren & Timm Zwickel, 2014. "A new scenario framework for climate change research: background, process, and future directions," Climatic Change, Springer, vol. 122(3), pages 363-372, February.
    25. Steinbuks,Jevgenijs, 2017. "Assessing the accuracy of electricity demand forecasts in developing countries," Policy Research Working Paper Series 7974, The World Bank.
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    Cited by:

    1. Ian M. Trotter & Lu'is A. C. Schmidt & Bruno C. M. Pinto & Andrezza L. Batista & J'essica Pellenz & Maritza Isidro & Aline Rodrigues & Attawan G. S. Suela & Loredany Rodrigues, 2020. "COVID-19 and Global Economic Growth: Policy Simulations with a Pandemic-Enabled Neoclassical Growth Model," Papers 2005.13722, arXiv.org, revised Jun 2020.
    2. Ian M. Trotter & Torjus F. Bolkesj{o} & Eirik O. J{aa}stad & Jon Gustav Kirkerud, 2021. "Increased Electrification of Heating and Weather Risk in the Nordic Power System," Papers 2112.02893, arXiv.org.

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