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Application of a high-detail energy system model to derive power sector characteristics at high wind and solar shares

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  • Scholz, Yvonne
  • Gils, Hans Christian
  • Pietzcker, Robert C.

Abstract

Solar irradiation and wind speed vary with climatic, as well as seasonal and daily weather conditions. In order to represent these variable renewable energy (VRE) resources in specialized energy system models, high temporal and spatial resolution information on their availability is used. In contrast, integrated assessment models (IAM), typically characterized by long-term time scales and low temporal and spatial resolution, require aggregated information on VRE availability and balancing requirements at various levels of VRE penetration and mix. Parametric studies that provide such information typically regard solar energy synonymously with photovoltaic power generation. However, solar energy can also be harvested with concentrating solar power (CSP) plants, which can be dispatchable if equipped with thermal storage. Accounting for this dispatchable use of the variable solar resource can change the balancing requirements at any solar energy penetration level. In this paper, we present an application of the high-resolution energy system model REMix to a set of European supply scenarios with theoretical VRE shares ranging from 0% to 140%, three solar-to-wind ratios, with CSP included in the solar share. We evaluate balancing measures, curtailments and costs and compare the findings to previous results in which CSP is regarded a backup option among other dispatchable power plants. The results show that CSP potentials in Europe are widely exploited in most scenarios. System costs are found to be lowest for wind-dominated systems or balanced mixes of wind and solar and for an overall VRE share between 40% for a low and 80% for a high scenario of the future CO2 emission certificate price. The comparison with previous results shows that storage capacity is the only system variable that is significantly affected by allocating CSP to the VRE resources category. It is reduced by 24% on average across all VRE shares and proportions and by around 80% at most.

Suggested Citation

  • Scholz, Yvonne & Gils, Hans Christian & Pietzcker, Robert C., 2017. "Application of a high-detail energy system model to derive power sector characteristics at high wind and solar shares," Energy Economics, Elsevier, vol. 64(C), pages 568-582.
    • Handle: RePEc:eee:eneeco:v:64:y:2017:i:c:p:568-582
    DOI: 10.1016/j.eneco.2016.06.021
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    References listed on IDEAS

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    1. Trieb, Franz & Schillings, Christoph & Pregger, Thomas & O'Sullivan, Marlene, 2012. "Solar electricity imports from the Middle East and North Africa to Europe," Energy Policy, Elsevier, vol. 42(C), pages 341-353.
    2. Pietzcker, Robert Carl & Stetter, Daniel & Manger, Susanne & Luderer, Gunnar, 2014. "Using the sun to decarbonize the power sector: The economic potential of photovoltaics and concentrating solar power," Applied Energy, Elsevier, vol. 135(C), pages 704-720.
    3. Rasmussen, Morten Grud & Andresen, Gorm Bruun & Greiner, Martin, 2012. "Storage and balancing synergies in a fully or highly renewable pan-European power system," Energy Policy, Elsevier, vol. 51(C), pages 642-651.
    4. Gunnar Luderer & Volker Krey & Katherine Calvin & James Merrick & Silvana Mima & Robert Pietzcker & Jasper Vliet & Kenichi Wada, 2014. "The role of renewable energy in climate stabilization: results from the EMF27 scenarios," Climatic Change, Springer, vol. 123(3), pages 427-441, April.
    5. Heide, Dominik & von Bremen, Lueder & Greiner, Martin & Hoffmann, Clemens & Speckmann, Markus & Bofinger, Stefan, 2010. "Seasonal optimal mix of wind and solar power in a future, highly renewable Europe," Renewable Energy, Elsevier, vol. 35(11), pages 2483-2489.
    6. Hirth, Lion & Ueckerdt, Falko & Edenhofer, Ottmar, 2015. "Integration costs revisited – An economic framework for wind and solar variability," Renewable Energy, Elsevier, vol. 74(C), pages 925-939.
    7. Pietzcker, Robert C. & Ueckerdt, Falko & Carrara, Samuel & de Boer, Harmen Sytze & Després, Jacques & Fujimori, Shinichiro & Johnson, Nils & Kitous, Alban & Scholz, Yvonne & Sullivan, Patrick & Ludere, 2017. "System integration of wind and solar power in integrated assessment models: A cross-model evaluation of new approaches," Energy Economics, Elsevier, vol. 64(C), pages 583-599.
    8. Gunnar Luderer & Volker Krey & Katherine Calvin & James Merrick & Silvana Mima & Robert Pietzcker & Jasper van Vliet & Kenichi Wada, 2014. "The role of renewable energy in climate stabilization: results from the EMF27 scenarios," Post-Print halshs-00961843, HAL.
    9. Rodríguez, Rolando A. & Becker, Sarah & Andresen, Gorm B. & Heide, Dominik & Greiner, Martin, 2014. "Transmission needs across a fully renewable European power system," Renewable Energy, Elsevier, vol. 63(C), pages 467-476.
    10. Rodriguez, Rolando A. & Becker, Sarah & Greiner, Martin, 2015. "Cost-optimal design of a simplified, highly renewable pan-European electricity system," Energy, Elsevier, vol. 83(C), pages 658-668.
    11. Schaber, Katrin & Steinke, Florian & Hamacher, Thomas, 2012. "Transmission grid extensions for the integration of variable renewable energies in Europe: Who benefits where?," Energy Policy, Elsevier, vol. 43(C), pages 123-135.
    12. Ueckerdt, Falko & Pietzcker, Robert & Scholz, Yvonne & Stetter, Daniel & Giannousakis, Anastasis & Luderer, Gunnar, 2017. "Decarbonizing global power supply under region-specific consideration of challenges and options of integrating variable renewables in the REMIND model," Energy Economics, Elsevier, vol. 64(C), pages 665-684.
    13. Becker, S. & Rodriguez, R.A. & Andresen, G.B. & Schramm, S. & Greiner, M., 2014. "Transmission grid extensions during the build-up of a fully renewable pan-European electricity supply," Energy, Elsevier, vol. 64(C), pages 404-418.
    14. Ueckerdt, Falko & Hirth, Lion & Luderer, Gunnar & Edenhofer, Ottmar, 2013. "System LCOE: What are the costs of variable renewables?," Energy, Elsevier, vol. 63(C), pages 61-75.
    15. Schaber, Katrin & Steinke, Florian & Mühlich, Pascal & Hamacher, Thomas, 2012. "Parametric study of variable renewable energy integration in Europe: Advantages and costs of transmission grid extensions," Energy Policy, Elsevier, vol. 42(C), pages 498-508.
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    More about this item

    Keywords

    Renewable energy; System integration; Backup capacity; Energy storage; Curtailments; Power transmission;
    All these keywords.

    JEL classification:

    • Q4 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy
    • Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis

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