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A novel framework for development and optimisation of future electricity scenarios with high penetration of renewables and storage

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  • Gaete-Morales, Carlos
  • Gallego-Schmid, Alejandro
  • Stamford, Laurence
  • Azapagic, Adisa

Abstract

Although electricity supply is still dominated by fossil fuels, it is expected that renewable sources will have a much larger contribution in the future due to the need to mitigate climate change. Therefore, this paper presents a new framework for developing Future Electricity Scenarios (FuturES) with high penetration of renewables. A multi-period linear programming model has been created for power-system expansion planning. This has been coupled with an economic dispatch model, PowerGAMA, to evaluate the technical and economic feasibility of the developed scenarios while matching supply and demand. Application of FuturES is demonstrated through the case of Chile which has ambitious plans to supply electricity using only renewable sources. Four cost-optimal scenarios have been developed for the year 2050 using FuturES: two Business as usual (BAU) and two Renewable electricity (RE) scenarios. The BAU scenarios are unconstrained in terms of the technology type and can include all 11 options considered. The RE scenarios aim to have only renewables in the mix, including storage. The results show that both BAU scenarios have a levelised cost of electricity (LCOE) lower than, or equal to, today’s costs ($72.7–77.3 vs $77.6/MWh) and include 81–90% of renewables. The RE scenarios are slightly more expensive than today’s costs ($81–87/MWh). The cumulative investment for the BAU scenarios is $123-$145 bn, compared to $147-$157 bn for the RE. The annual investment across the scenarios is estimated at $4.0 ± 0.4 bn. Both RE scenarios show sufficient flexibility in matching supply and demand, despite solar photovoltaics and wind power contributing around half of the total supply. Therefore, the FuturES framework is a powerful tool for aiding the design of cost-efficient power systems with high penetration of renewables.

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  • Gaete-Morales, Carlos & Gallego-Schmid, Alejandro & Stamford, Laurence & Azapagic, Adisa, 2019. "A novel framework for development and optimisation of future electricity scenarios with high penetration of renewables and storage," Applied Energy, Elsevier, vol. 250(C), pages 1657-1672.
    • Handle: RePEc:eee:appene:v:250:y:2019:i:c:p:1657-1672
    DOI: 10.1016/j.apenergy.2019.05.006
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    1. Ilak, Perica & Rajšl, Ivan & Krajcar, Slavko & Delimar, Marko, 2015. "The impact of a wind variable generation on the hydro generation water shadow price," Applied Energy, Elsevier, vol. 154(C), pages 197-208.
    2. P. Massé & R. Gibrat, 1957. "Application of Linear Programming to Investments in the Electric Power Industry," Management Science, INFORMS, vol. 3(2), pages 149-166, January.
    3. Richard Loulou & Maryse Labriet, 2008. "ETSAP-TIAM: the TIMES integrated assessment model Part I: Model structure," Computational Management Science, Springer, vol. 5(1), pages 7-40, February.
    4. Wolfgang, Ove & Haugstad, Arne & Mo, Birger & Gjelsvik, Anders & Wangensteen, Ivar & Doorman, Gerard, 2009. "Hydro reservoir handling in Norway before and after deregulation," Energy, Elsevier, vol. 34(10), pages 1642-1651.
    5. Pfenninger, Stefan & Keirstead, James, 2015. "Renewables, nuclear, or fossil fuels? Scenarios for Great Britain’s power system considering costs, emissions and energy security," Applied Energy, Elsevier, vol. 152(C), pages 83-93.
    6. Rentizelas, Athanasios & Georgakellos, Dimitrios, 2014. "Incorporating life cycle external cost in optimization of the electricity generation mix," Energy Policy, Elsevier, vol. 65(C), pages 134-149.
    7. Richard Loulou, 2008. "ETSAP-TIAM: the TIMES integrated assessment model. part II: mathematical formulation," Computational Management Science, Springer, vol. 5(1), pages 41-66, February.
    8. Hemmati, Reza & Saboori, Hedayat & Jirdehi, Mehdi Ahmadi, 2016. "Multistage generation expansion planning incorporating large scale energy storage systems and environmental pollution," Renewable Energy, Elsevier, vol. 97(C), pages 636-645.
    9. Fichera, Alberto & Frasca, Mattia & Palermo, Valentina & Volpe, Rosaria, 2018. "An optimization tool for the assessment of urban energy scenarios," Energy, Elsevier, vol. 156(C), pages 418-429.
    10. García-Gusano, Diego & Espegren, Kari & Lind, Arne & Kirkengen, Martin, 2016. "The role of the discount rates in energy systems optimisation models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 56-72.
    11. Vera, Sonia & Sauma, Enzo, 2015. "Does a carbon tax make sense in countries with still a high potential for energy efficiency? Comparison between the reducing-emissions effects of carbon tax and energy efficiency measures in the Chile," Energy, Elsevier, vol. 88(C), pages 478-488.
    12. Ventosa, Mariano & Baillo, Alvaro & Ramos, Andres & Rivier, Michel, 2005. "Electricity market modeling trends," Energy Policy, Elsevier, vol. 33(7), pages 897-913, May.
    13. Camal, S. & Teng, F. & Michiorri, A. & Kariniotakis, G. & Badesa, L., 2019. "Scenario generation of aggregated Wind, Photovoltaics and small Hydro production for power systems applications," Applied Energy, Elsevier, vol. 242(C), pages 1396-1406.
    14. Papaefthymiou, G. & Dragoon, Ken, 2016. "Towards 100% renewable energy systems: Uncapping power system flexibility," Energy Policy, Elsevier, vol. 92(C), pages 69-82.
    15. Schill, Wolf-Peter & Zerrahn, Alexander, 2018. "Long-run power storage requirements for high shares of renewables: Results and sensitivities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 83(C), pages 156-171.
    16. Barteczko-Hibbert, Christian & Bonis, Ioannis & Binns, Michael & Theodoropoulos, Constantinos & Azapagic, Adisa, 2014. "A multi-period mixed-integer linear optimisation of future electricity supply considering life cycle costs and environmental impacts," Applied Energy, Elsevier, vol. 133(C), pages 317-334.
    17. Rubin, Edward S. & Azevedo, Inês M.L. & Jaramillo, Paulina & Yeh, Sonia, 2015. "A review of learning rates for electricity supply technologies," Energy Policy, Elsevier, vol. 86(C), pages 198-218.
    18. Johan Lilliestam & Mercè Labordena & Anthony Patt & Stefan Pfenninger, 2017. "Empirically observed learning rates for concentrating solar power and their responses to regime change," Nature Energy, Nature, vol. 2(7), pages 1-6, July.
    Full references (including those not matched with items on IDEAS)

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