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Economic and technical challenges of flexible operations under large-scale variable renewable deployment

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  • Bistline, John E.

Abstract

Fundamental characteristics of solar and wind power have generated controversy about their economic competitiveness and appropriate techniques for assessing their value. This research presents an approach to quantify the economic value of variable renewable capacity and demonstrates its dependence on renewable deployment levels, regional resource endowments, fleet flexibility, and trade assumptions. It assesses economic and technical impacts of large-scale renewable penetration by linking two models, representing electric-sector investments and detailed operations. Model results for California and Texas suggest that operational constraints and costs of dispatchable generators (e.g., minimum load levels, ramping limits, startup costs) can impact renewable integration costs, but the temporal and spatial variability of solar and wind are larger determinants of their value. Restrictions on transmission and regional coordination in capacity planning and dispatch decrease the economic value of variable renewable energy, highlighting the potential roles of market design and trade. Energy storage is shown to be a valuable balancing asset at higher solar and wind penetration levels, but potential revenues diminish with increased storage deployment.

Suggested Citation

  • Bistline, John E., 2017. "Economic and technical challenges of flexible operations under large-scale variable renewable deployment," Energy Economics, Elsevier, vol. 64(C), pages 363-372.
    • Handle: RePEc:eee:eneeco:v:64:y:2017:i:c:p:363-372
    DOI: 10.1016/j.eneco.2017.04.012
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    References listed on IDEAS

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    1. Reichelstein, Stefan & Sahoo, Anshuman, 2015. "Time of day pricing and the levelized cost of intermittent power generation," Energy Economics, Elsevier, vol. 48(C), pages 97-108.
    2. Nyamdash, Batsaikhan & Denny, Eleanor & O'Malley, Mark, 2010. "The viability of balancing wind generation with large scale energy storage," Energy Policy, Elsevier, vol. 38(11), pages 7200-7208, November.
    3. Merrick, James H., 2016. "On representation of temporal variability in electricity capacity planning models," Energy Economics, Elsevier, vol. 59(C), pages 261-274.
    4. Lion Hirth, 2015. "The Optimal Share of Variable Renewables: How the Variability of Wind and Solar Power affects their Welfare-optimal Deployment," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1).
    5. De Jonghe, Cedric & Delarue, Erik & Belmans, Ronnie & D'haeseleer, William, 2011. "Determining optimal electricity technology mix with high level of wind power penetration," Applied Energy, Elsevier, vol. 88(6), pages 2231-2238, June.
    6. Edenhofer, Ottmar & Hirth, Lion & Knopf, Brigitte & Pahle, Michael & Schlömer, Steffen & Schmid, Eva & Ueckerdt, Falko, 2013. "On the economics of renewable energy sources," Energy Economics, Elsevier, vol. 40(S1), pages 12-23.
    7. 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.
    8. Severin Borenstein, 2012. "The Private and Public Economics of Renewable Electricity Generation," Journal of Economic Perspectives, American Economic Association, vol. 26(1), pages 67-92, Winter.
    9. Lion Hirth, 2013. "The Market Value of Variable Renewables. The Effect of Solar and Wind Power Variability on their Relative Price," RSCAS Working Papers 2013/36, European University Institute.
    10. Gunturu, Udaya Bhaskar & Schlosser, C. Adam, 2015. "Behavior of the aggregate wind resource in the ISO regions in the United States," Applied Energy, Elsevier, vol. 144(C), pages 175-181.
    11. Tuohy, Aidan & Meibom, Peter & Denny, Eleanor & O'Malley, Mark, 2009. "Unit commitment for systems with significant wind penetration," MPRA Paper 34849, University Library of Munich, Germany.
    12. Paul L. Joskow, 2011. "Comparing the Costs of Intermittent and Dispatchable Electricity Generating Technologies," American Economic Review, American Economic Association, vol. 101(3), pages 238-241, May.
    13. Hirth, Lion, 2013. "The market value of variable renewables," Energy Economics, Elsevier, vol. 38(C), pages 218-236.
    14. Gautam Gowrisankaran & Stanley S. Reynolds & Mario Samano, 2016. "Intermittency and the Value of Renewable Energy," Journal of Political Economy, University of Chicago Press, vol. 124(4), pages 1187-1234.
    15. Frew, Bethany A. & Jacobson, Mark Z., 2016. "Temporal and spatial tradeoffs in power system modeling with assumptions about storage: An application of the POWER model," Energy, Elsevier, vol. 117(P1), pages 198-213.
    16. Lamont, Alan D., 2008. "Assessing the long-term system value of intermittent electric generation technologies," Energy Economics, Elsevier, vol. 30(3), pages 1208-1231, May.
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    More about this item

    Keywords

    Renewable integration; Variable renewable energy; Power system planning; Flexible operations; Regional heterogeneity; Unit-commitment modeling;
    All these keywords.

    JEL classification:

    • L94 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Electric Utilities
    • Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources
    • Q48 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Government Policy
    • Q20 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - General
    • F18 - International Economics - - Trade - - - Trade and Environment
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis

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