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Scrutinizing the Intermittency of Renewable Energy in a Long-Term Planning Model via Combining Direct Integration and Soft-Linking Methods for Colombia’s Power System

Author

Listed:
  • Ahmed Younis

    (Integrated Research on Energy, Environment and Society (IREES), University of Groningen, 9747 AG Groningen, The Netherlands)

  • René Benders

    (Integrated Research on Energy, Environment and Society (IREES), University of Groningen, 9747 AG Groningen, The Netherlands)

  • Jezabel Ramírez

    (Integrated Research on Energy, Environment and Society (IREES), University of Groningen, 9747 AG Groningen, The Netherlands)

  • Merlijn de Wolf

    (Integrated Research on Energy, Environment and Society (IREES), University of Groningen, 9747 AG Groningen, The Netherlands)

  • André Faaij

    (Integrated Research on Energy, Environment and Society (IREES), University of Groningen, 9747 AG Groningen, The Netherlands
    TNO, Energy Transition, 3584 CB Utrecht, The Netherlands
    Copernicus Institute for Sustainable Development, Utrecht University, 3584 CB Utrecht, The Netherlands)

Abstract
The large-scale integration of variable renewable energy sources into the energy system presents techno–economic challenges. Long–term energy system optimization models fail to adequately capture these challenges because of the low temporal resolution of these tools. This limitation has often been addressed either by direct improvements within the long–term models or by coupling them to higher resolution power system models. In this study, a combined approach is proposed to capitalize on the advantages and overcome the disadvantages of both methods. First, the temporal resolution of an energy model was enhanced by approximating the joint probability of the electricity load and the supply of intermittent sources. Second, the projected electricity mix was simulated by a power model at an hourly resolution. This framework was used to analyze mid–century deep decarbonization trajectories for Colombia, subject to future uncertainties of hydroclimatic variability and the development of the bioeconomy. The direct integration method is found to consistently reduce the overestimation of the feasible penetration of VRES. However, its impact is marginal because of its inability to assess the short–term operation of the power system in detail. When combined with the soft–linking method, the reliable operation of the power system is shown to incur an additional overhead of 12–17% investment in flexible generation capacity, 2–5% of the annual energy system cost, and a 15–27% shortfall in achieving the aspired GHG mitigation target. The results obtained by combining both methods are found to be closer to the global optimum solution than using either of these methods individually.

Suggested Citation

  • Ahmed Younis & René Benders & Jezabel Ramírez & Merlijn de Wolf & André Faaij, 2022. "Scrutinizing the Intermittency of Renewable Energy in a Long-Term Planning Model via Combining Direct Integration and Soft-Linking Methods for Colombia’s Power System," Energies, MDPI, vol. 15(20), pages 1-24, October.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:20:p:7604-:d:942696
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    References listed on IDEAS

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    1. David E. H. J. Gernaat & Harmen Sytze Boer & Vassilis Daioglou & Seleshi G. Yalew & Christoph Müller & Detlef P. Vuuren, 2021. "Climate change impacts on renewable energy supply," Nature Climate Change, Nature, vol. 11(2), pages 119-125, February.
    2. Calderón, Silvia & Alvarez, Andrés Camilo & Loboguerrero, Ana María & Arango, Santiago & Calvin, Katherine & Kober, Tom & Daenzer, Kathryn & Fisher-Vanden, Karen, 2016. "Achieving CO2 reductions in Colombia: Effects of carbon taxes and abatement targets," Energy Economics, Elsevier, vol. 56(C), pages 575-586.
    3. Thiam, Djiby-Racine & Benders, René M.J. & Moll, Henri C., 2012. "Modeling the transition towards a sustainable energy production in developing nations," Applied Energy, Elsevier, vol. 94(C), pages 98-108.
    4. David E. H. J. Gernaat & Harmen Sytze Boer & Vassilis Daioglou & Seleshi G. Yalew & Christoph Müller & Detlef P. Vuuren, 2021. "Author Correction: Climate change impacts on renewable energy supply," Nature Climate Change, Nature, vol. 11(4), pages 362-362, April.
    5. Lap, Tjerk & Benders, René & van der Hilst, Floor & Faaij, André, 2020. "How does the interplay between resource availability, intersectoral competition and reliability affect a low-carbon power generation mix in Brazil for 2050?," Energy, Elsevier, vol. 195(C).
    6. Nidia Elizabeth Ramírez-Contreras & David Munar-Florez & Floor van der Hilst & Juan Carlos Espinosa & Álvaro Ocampo-Duran & Jonathan Ruíz-Delgado & Diego L. Molina-López & Birka Wicke & Jesús Alberto , 2021. "GHG Balance of Agricultural Intensification & Bioenergy Production in the Orinoquia Region, Colombia," Land, MDPI, vol. 10(3), pages 1-29, March.
    7. Staffell, Iain & Pfenninger, Stefan, 2016. "Using bias-corrected reanalysis to simulate current and future wind power output," Energy, Elsevier, vol. 114(C), pages 1224-1239.
    8. Pupo-Roncallo, Oscar & Campillo, Javier & Ingham, Derek & Hughes, Kevin & Pourkashanian, Mohammed, 2019. "Large scale integration of renewable energy sources (RES) in the future Colombian energy system," Energy, Elsevier, vol. 186(C).
    9. Ang, B.W. & Su, Bin, 2016. "Carbon emission intensity in electricity production: A global analysis," Energy Policy, Elsevier, vol. 94(C), pages 56-63.
    10. Turner, Sean W.D. & Hejazi, Mohamad & Kim, Son H. & Clarke, Leon & Edmonds, Jae, 2017. "Climate impacts on hydropower and consequences for global electricity supply investment needs," Energy, Elsevier, vol. 141(C), pages 2081-2090.
    11. Pfenninger, Stefan & Staffell, Iain, 2016. "Long-term patterns of European PV output using 30 years of validated hourly reanalysis and satellite data," Energy, Elsevier, vol. 114(C), pages 1251-1265.
    12. Joeri Rogelj & Alexander Popp & Katherine V. Calvin & Gunnar Luderer & Johannes Emmerling & David Gernaat & Shinichiro Fujimori & Jessica Strefler & Tomoko Hasegawa & Giacomo Marangoni & Volker Krey &, 2018. "Scenarios towards limiting global mean temperature increase below 1.5 °C," Nature Climate Change, Nature, vol. 8(4), pages 325-332, April.
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