IDEAS home Printed from https://ideas.repec.org/p/ces/ifowps/_376.html
   My bibliography  Save this paper

Investment Cost Specifications Revisited

Author

Listed:
  • Mathias Mier
  • Valeriya Azarova

Abstract

Policymakers misjudge results of technology-rich optimization models because those models specify investment cost differently and thus are not equally sensitive towards changing financing cost and discount rates. We apply an intertemporally optimizing power market model to analyze three different investment cost specifications. The three specifications lead to a substantially different pace and rate of adoption for specific generation technologies and diverging carbon prices. The first assumes that an investment is financed by equity only, the second one applies a mix of equity and debt, and the third one assumes complete debt financing. The equity specification is completely insensitive towards changing financing cost, fosters early wind power deployment, and finally yields lowest carbon prices. The mixed capital one is extremely sensitive towards changing financing cost and postpones wind power deployment towards later periods. The debt specification is also insensitive towards changing discount rates and in general yields lowest investments and highest carbon prices.

Suggested Citation

  • Mathias Mier & Valeriya Azarova, 2022. "Investment Cost Specifications Revisited," ifo Working Paper Series 376, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    • Handle: RePEc:ces:ifowps:_376
    as

    Download full text from publisher

    File URL: https://www.ifo.de/DocDL/wp-2022-376-mier-azarova-investment-specifications_0.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Clemens Gerbaulet & Casimir Lorenz, 2017. "dynELMOD: A Dynamic Investment and Dispatch Model for the Future European Electricity Market," Data Documentation 88, DIW Berlin, German Institute for Economic Research.
    2. Mier, Mathias & Siala, Kais & Govorukha, Kristina & Mayer, Philip, 2023. "Collaboration, decarbonization, and distributional effects," Applied Energy, Elsevier, vol. 341(C).
    3. Mathias Mier & Jacqueline Adelowo & Valeriya Azarova, 2022. "Endogenous Technological Change in Power Markets," ifo Working Paper Series 373, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    4. Azarova, Valeriya & Mier, Mathias, 2021. "Market Stability Reserve under exogenous shock: The case of COVID-19 pandemic," Applied Energy, Elsevier, vol. 283(C).
    5. Mier, Mathias & Weissbart, Christoph, 2020. "Power markets in transition: Decarbonization, energy efficiency, and short-term demand response," Energy Economics, Elsevier, vol. 86(C).
    6. Friedemann Polzin & Mark Sanders & Bjarne Steffen & Florian Egli & Tobias S. Schmidt & Panagiotis Karkatsoulis & Panagiotis Fragkos & Leonidas Paroussos, 2021. "The effect of differentiating costs of capital by country and technology on the European energy transition," Climatic Change, Springer, vol. 167(1), pages 1-21, July.
    7. Hess, Denis & Wetzel, Manuel & Cao, Karl-Kiên, 2018. "Representing node-internal transmission and distribution grids in energy system models," Renewable Energy, Elsevier, vol. 119(C), pages 874-890.
    8. Siala, Kais & Mier, Mathias & Schmidt, Lukas & Torralba-Díaz, Laura & Sheykhha, Siamak & Savvidis, Georgios, 2022. "Which model features matter? An experimental approach to evaluate power market modeling choices," Energy, Elsevier, vol. 245(C).
    9. Weissbart, Christoph, 2020. "Decarbonization of power markets under stability and fairness: Do they influence efficiency?," Energy Economics, Elsevier, vol. 85(C).
    10. Ventosa, Mariano & Baillo, Alvaro & Ramos, Andres & Rivier, Michel, 2005. "Electricity market modeling trends," Energy Policy, Elsevier, vol. 33(7), pages 897-913, May.
    11. Mathias Mier & Jacqueline Adelowo, 2022. "Taxation of Carbon Emissions with Social and Private Discount Rates," ifo Working Paper Series 374, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    12. Mathias Mier & Kais Siala & Kristina Govorukha & Philip Mayer, 2020. "Costs and Benefits of Political and Physical Collaboration in the European Power Market," ifo Working Paper Series 343, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    13. Geoffrey J. Blanford & Christoph Weissbart, 2019. "A Framework for Modeling the Dynamics of Power Markets – The EU-REGEN Model," ifo Working Paper Series 307, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    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. Mier, Mathias & Siala, Kais & Govorukha, Kristina & Mayer, Philip, 2023. "Collaboration, decarbonization, and distributional effects," Applied Energy, Elsevier, vol. 341(C).

    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. Valeriya Azarova & Mathias Mier, 2021. "Investor Type Heterogeneity in Bottom-Up Optimization Models," ifo Working Paper Series 362, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    2. Mier, Mathias & Siala, Kais & Govorukha, Kristina & Mayer, Philip, 2023. "Collaboration, decarbonization, and distributional effects," Applied Energy, Elsevier, vol. 341(C).
    3. Mathias Mier, 2023. "European Electricity Prices in Times of Multiple Crises," ifo Working Paper Series 394, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    4. Jacqueline Adelowo & Mathias Mier & Christoph Weissbart, 2021. "Taxation of Carbon Emissions and Air Pollution in Intertemporal Optimization Frameworks with Social and Private Discount Rates," ifo Working Paper Series 360, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    5. Mathias Mier & Jacqueline Adelowo, 2022. "Taxation of Carbon Emissions with Social and Private Discount Rates," ifo Working Paper Series 374, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    6. Mathias Mier & Jacqueline Adelowo & Valeriya Azarova, 2022. "Endogenous Technological Change in Power Markets," ifo Working Paper Series 373, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    7. Mathias Mier & Jacqueline Adelowo & Christoph Weissbart, 2022. "Complementary Taxation of Carbon Emissions and Local Air Pollution," ifo Working Paper Series 375, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    8. Valeriya Azarova & Mathias Mier, 2021. "Unraveling the Black Box of Power Market Models," ifo Working Paper Series 357, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    9. Siala, Kais & Mier, Mathias & Schmidt, Lukas & Torralba-Díaz, Laura & Sheykhha, Siamak & Savvidis, Georgios, 2022. "Which model features matter? An experimental approach to evaluate power market modeling choices," Energy, Elsevier, vol. 245(C).
    10. Azarova, Valeriya & Mier, Mathias, 2021. "Market Stability Reserve under exogenous shock: The case of COVID-19 pandemic," Applied Energy, Elsevier, vol. 283(C).
    11. Karen Pittel & Helena Cordt & Sandra Gschnaller & Mathias Mier & Valeriya Azarova, 2020. "Briefly on the Climate: The Coronavirus Crisis and its Effects on European Emissions Trading," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 73(06), pages 67-71, June.
    12. Samuli Honkapuro & Jasmin Jaanto & Salla Annala, 2023. "A Systematic Review of European Electricity Market Design Options," Energies, MDPI, vol. 16(9), pages 1-26, April.
    13. Martin Kittel & Wolf-Peter Schill, 2021. "Renewable Energy Targets and Unintended Storage Cycling: Implications for Energy Modeling," Papers 2107.13380, arXiv.org, revised Sep 2021.
    14. Valeriya Azarova & Mathias Mier, 2020. "MSR under Exogenous Shock: The Case of Covid-19 Pandemic," ifo Working Paper Series 338, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    15. Mathias Mier & Kais Siala & Kristina Govorukha & Philip Mayer, 2020. "Costs and Benefits of Political and Physical Collaboration in the European Power Market," ifo Working Paper Series 343, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    16. Balint, T. & Lamperti, F. & Mandel, A. & Napoletano, M. & Roventini, A. & Sapio, A., 2017. "Complexity and the Economics of Climate Change: A Survey and a Look Forward," Ecological Economics, Elsevier, vol. 138(C), pages 252-265.
    17. Gerbaulet, Clemens & von Hirschhausen, Christian & Kemfert, Claudia & Lorenz, Casimir & Oei, Pao-Yu, 2019. "European electricity sector decarbonization under different levels of foresight," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 141, pages 973-987.
    18. Liu, Xinglei & Liu, Jun & Ren, Kezheng & Liu, Xiaoming & Liu, Jiacheng, 2022. "An integrated fuzzy multi-energy transaction evaluation approach for energy internet markets considering judgement credibility and variable rough precision," Energy, Elsevier, vol. 261(PB).
    19. Iegor Riepin & Thomas Mobius & Felix Musgens, 2020. "Modelling uncertainty in coupled electricity and gas systems -- is it worth the effort?," Papers 2008.07221, arXiv.org, revised Sep 2020.
    20. Neuhoff, Karsten & Barquin, Julian & Boots, Maroeska G. & Ehrenmann, Andreas & Hobbs, Benjamin F. & Rijkers, Fieke A.M. & Vazquez, Miguel, 2005. "Network-constrained Cournot models of liberalized electricity markets: the devil is in the details," Energy Economics, Elsevier, vol. 27(3), pages 495-525, May.

    More about this item

    Keywords

    Investment cost; discounting; financing cost; optimization model; power market model;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • C68 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computable General Equilibrium Models
    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:ces:ifowps:_376. 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: Klaus Wohlrabe (email available below). General contact details of provider: https://edirc.repec.org/data/ifooode.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.