IDEAS home Printed from https://ideas.repec.org/p/ags/feemer/172433.html
   My bibliography  Save this paper

Why Wind Is Not Coal: On the Economics of Electricity

Author

Listed:
  • Hirth, Lion
  • Ueckerdt, Falko
  • Edenhofer, Ottmar

Abstract

The economics of electricity is shaped by its physics. A well know example is the non-storability of electricity that causes its price to fluctuate widely. More generally, physical constraints cause electricity to be a heterogeneous good along three dimensions - time, space, and lead-time. Consequently, different generation technologies, such as coal and wind power, produce different economic goods that have a different marginal economic value. Welfare maximization or competitiveness analyses that ignore heterogeneity deliver biased estimates. This paper provides an analytical welfare-economic framework that accounts for heterogeneity for unbiased assessments of power generators. The framework offers a rigorous interpretation of commonly used cost indicators such as ‘levelized electricity costs’ and ‘grid parity’. Heterogeneity is relevant for all generators, but especially for variable renewables such as wind and solar power. We propose a definition of ‘variability’, derive the opportunity costs of variability, and link that concept to the ‘integration cost’ literature. A literature review shows that variability can reduce the value of wind power by 20-50%. Thus it is crucial that economic analysis accounts for the physics of electricity.

Suggested Citation

  • Hirth, Lion & Ueckerdt, Falko & Edenhofer, Ottmar, 2014. "Why Wind Is Not Coal: On the Economics of Electricity," Energy: Resources and Markets 172433, Fondazione Eni Enrico Mattei (FEEM).
  • Handle: RePEc:ags:feemer:172433
    DOI: 10.22004/ag.econ.172433
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/172433/files/NDL2014-039.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.172433?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Neuhoff, Karsten & Ehrenmann, Andreas & Butler, Lucy & Cust, Jim & Hoexter, Harriet & Keats, Kim & Kreczko, Adam & Sinden, Graham, 2008. "Space and time: Wind in an investment planning model," Energy Economics, Elsevier, vol. 30(4), pages 1990-2008, July.
    2. Holttinen, H., 2005. "Optimal electricity market for wind power," Energy Policy, Elsevier, vol. 33(16), pages 2052-2063, November.
    3. Nagl, Stephan & Fürsch, Michaela & Jägemann, Cosima & Bettzüge, Marc Oliver, 2011. "The economic value of storage in renewable power systems - the case of thermal energy storage in concentrating solar plants," EWI Working Papers 2011-8, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI).
    4. Paul Simshauser, 2011. "The Hidden Costs of Wind Generation in a Thermal Power System: What Cost?," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 44(3), pages 269-292, September.
    5. Andreas Schröder & Friedrich Kunz & Jan Meiss & Roman Mendelevitch & Christian von Hirschhausen, 2013. "Current and Prospective Costs of Electricity Generation until 2050," Data Documentation 68, DIW Berlin, German Institute for Economic Research.
    6. Richard Green, 2005. "Electricity and Markets," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 21(1), pages 67-87, Spring.
    7. Brigitte Knopf & Bjørn Bakken & Samuel Carrara & Amit Kanudia & Ilkka Keppo & Tiina Koljonen & Silvana Mima & Eva Schmid & Detlef P. Van Vuuren, 2013. "Transforming The European Energy System: Member States' Prospects Within The Eu Framework," Climate Change Economics (CCE), World Scientific Publishing Co. Pte. Ltd., vol. 4(supp0), pages 1-26.
    8. 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.
    9. Hirth, Lion, 2013. "The market value of variable renewables," Energy Economics, Elsevier, vol. 38(C), pages 218-236.
    10. Nagl, Stephan & Fürsch, Michaela & Lindenberger, Dietmar, 2012. "The costs of electricity systems with a high share of fluctuating renewables - a stochastic investment and dispatch optimization model for Europe," EWI Working Papers 2012-1, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI).
    11. Erin Baker & Meredith Fowlie & Derek Lemoine & Stanley S. Reynolds, 2013. "The Economics of Solar Electricity," Annual Review of Resource Economics, Annual Reviews, vol. 5(1), pages 387-426, June.
    12. Global Energy Assessment Writing Team,, 2012. "Global Energy Assessment," Cambridge Books, Cambridge University Press, number 9781107005198, October.
    13. Martin, Brian & Diesendorf, Mark, 1983. "The economics of large-scale wind power in the UK A model of an optimally mixed CEGB electricity grid," Energy Policy, Elsevier, vol. 11(3), pages 259-266, September.
    14. 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.
    15. 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.
    16. Taylor, Lance & Black, Stephen L., 1974. "Practical general equilibrium estimation of resource pulls under trade liberalization," Journal of International Economics, Elsevier, vol. 4(1), pages 37-58, April.
    17. Global Energy Assessment Writing Team,, 2012. "Global Energy Assessment," Cambridge Books, Cambridge University Press, number 9780521182935, October.
    18. Francis Bessière, 1970. "The "Investment '85" Model of Electricite de France," Management Science, INFORMS, vol. 17(4), pages 192-211, December.
    19. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Després, Jacques & Mima, Silvana & Kitous, Alban & Criqui, Patrick & Hadjsaid, Nouredine & Noirot, Isabelle, 2017. "Storage as a flexibility option in power systems with high shares of variable renewable energy sources: a POLES-based analysis," Energy Economics, Elsevier, vol. 64(C), pages 638-650.
    2. Miranda, Raul & Simoes, Sofia & Szklo, Alexandre & Schaeffer, Roberto, 2019. "Adding detailed transmission constraints to a long-term integrated assessment model – A case study for Brazil using the TIMES model," Energy, Elsevier, vol. 167(C), pages 791-803.
    3. Jeffrey C. Peters & Thomas W. Hertel, 2017. "Achieving the Clean Power Plan 2030 CO2 Target with the New Normal in Natural Gas Prices," The Energy Journal, , vol. 38(5), pages 39-66, September.
    4. 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.
    5. Wilhelm Kuckshinrichs, 2021. "LCOE: A Useful and Valid Indicator—Replica to James Loewen and Adam Szymanski," Energies, MDPI, vol. 14(2), pages 1-8, January.
    6. 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).
    7. Tapia-Ahumada, Karen & Octaviano, Claudia & Rausch, Sebastian & Pérez-Arriaga, Ignacio, 2015. "Modeling intermittent renewable electricity technologies in general equilibrium models," Economic Modelling, Elsevier, vol. 51(C), pages 242-262.
    8. Jacques Després & Patrick Criqui & Silvana Mima & Nouredine Hadjsaid & Isabelle Noirot, 2014. "Analysing the interactions between Variable Renewable Energies, electricity storage and grid in long term energy modelling tools," Post-Print hal-01279461, HAL.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Lion Hirth, Falko Ueckerdt, and Ottmar Edenhofer, 2016. "Why Wind Is Not Coal: On the Economics of Electricity Generation," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3).
    2. 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).
    3. 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.
    4. Hirth, Lion, 2013. "The market value of variable renewables," Energy Economics, Elsevier, vol. 38(C), pages 218-236.
    5. Romeiro, Diogo Lisbona & Almeida, Edmar Luiz Fagundes de & Losekann, Luciano, 2020. "Systemic value of electricity sources – What we can learn from the Brazilian experience?," Energy Policy, Elsevier, vol. 138(C).
    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 & Brecha, Robert & Luderer, Gunnar, 2015. "Analyzing major challenges of wind and solar variability in power systems," Renewable Energy, Elsevier, vol. 81(C), pages 1-10.
    8. 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.
    9. Creutzig, Felix & Goldschmidt, Jan Christoph & Lehmann, Paul & Schmid, Eva & von Blücher, Felix & Breyer, Christian & Fernandez, Blanca & Jakob, Michael & Knopf, Brigitte & Lohrey, Steffen & Susca, Ti, 2014. "Catching two European birds with one renewable stone: Mitigating climate change and Eurozone crisis by an energy transition," Renewable and Sustainable Energy Reviews, Elsevier, vol. 38(C), pages 1015-1028.
    10. Ueckerdt, Falko & Brecha, Robert & Luderer, Gunnar & Sullivan, Patrick & Schmid, Eva & Bauer, Nico & Böttger, Diana & Pietzcker, Robert, 2015. "Representing power sector variability and the integration of variable renewables in long-term energy-economy models using residual load duration curves," Energy, Elsevier, vol. 90(P2), pages 1799-1814.
    11. Renaud Coulomb & Oskar Lecuyer & Adrien Vogt-Schilb, 2019. "Optimal Transition from Coal to Gas and Renewable Power Under Capacity Constraints and Adjustment Costs," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 73(2), pages 557-590, June.
    12. Sijm, Jos & Lehmann, Paul & Chewpreecha, Unnada & Gawel, Erik & Mercure, Jean-Francois & Pollitt, Hector & Strunz, Sebastian, 2014. "EU climate and energy policy beyond 2020: Are additional targets and instruments for renewables economically reasonable?," UFZ Discussion Papers 3/2014, Helmholtz Centre for Environmental Research (UFZ), Division of Social Sciences (ÖKUS).
    13. Zerrahn, Alexander, 2017. "Wind Power and Externalities," Ecological Economics, Elsevier, vol. 141(C), pages 245-260.
    14. 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.
    15. Kondziella, Hendrik & Bruckner, Thomas, 2016. "Flexibility requirements of renewable energy based electricity systems – a review of research results and methodologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 10-22.
    16. 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.
    17. Schinko, Thomas & Komendantova, Nadejda, 2016. "De-risking investment into concentrated solar power in North Africa: Impacts on the costs of electricity generation," Renewable Energy, Elsevier, vol. 92(C), pages 262-272.
    18. 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.
    19. 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.
    20. Chinmoy, Lakshmi & Iniyan, S. & Goic, Ranko, 2019. "Modeling wind power investments, policies and social benefits for deregulated electricity market – A review," Applied Energy, Elsevier, vol. 242(C), pages 364-377.

    More about this item

    Keywords

    Resource /Energy Economics and Policy;

    JEL classification:

    • Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources
    • D61 - Microeconomics - - Welfare Economics - - - Allocative Efficiency; Cost-Benefit Analysis
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:feemer:172433. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/feemmit.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.