IDEAS home Printed from https://ideas.repec.org/a/prg/jnlpol/v2013y2013i2id897p248-273.html
   My bibliography  Save this article

Analýza dopadů regulace v českém elektroenergetickém systému - aplikace dynamického lineárního modelu Message
[Environmental Regulation Impacts on the Czech Power System by the Dynamic Linear Optimisation Model Message]

Author

Listed:
  • Lukáš Rečka
  • Milan Ščasný

Abstract

The paper analyses impacts of environmental regulation on Czech power system. We employ MESSAGE modelling platform to construct a dynamic linear optimisation energy model of the Czech power system. We analyse regulation impacts on fuel use and CO2 emission, fuel-mix and technology-mix, induced investment and fuel and other O&M costs to generate electricity over the period 2006-2030. Negative external costs attributable to endogenously determined new level of air quality pollutants are quantified to make our cost-benefit analysis more complex. Overall, effects of four policy scenarios are assessed, including subsidies for renewable energy, increase in air quality charge rates and an introduction of the EU ETS in the Czech power system. Based on our simulation, we find that prospected 10-fold increase in charging of air quality pollutant would not have any significant effect on emission and would not bring any stimuli for change in technology and fuel mixes. Subsidy to renewable energy would result in their development; however, larger effect would appear in far future and only if new nuclear power units are not allowed to build. Auctioned EUA, especially above €15 per tonne of CO2, would be the only effective instrument with significant effects on power sector. Key factor on CO2 emission is whether scenario consists of new nuclear power units or these units are banned. Our simulation results hold even if we allow the key model assumption to vary, except, the discount rate that would have effect on whether more-investment intensive technologies are used to generate electricity.

Suggested Citation

  • Lukáš Rečka & Milan Ščasný, 2013. "Analýza dopadů regulace v českém elektroenergetickém systému - aplikace dynamického lineárního modelu Message [Environmental Regulation Impacts on the Czech Power System by the Dynamic Linear Optim," Politická ekonomie, Prague University of Economics and Business, vol. 2013(2), pages 248-273.
  • Handle: RePEc:prg:jnlpol:v:2013:y:2013:i:2:id:897:p:248-273
    DOI: 10.18267/j.polek.897
    as

    Download full text from publisher

    File URL: http://polek.vse.cz/doi/10.18267/j.polek.897.html
    Download Restriction: free of charge

    File URL: http://polek.vse.cz/doi/10.18267/j.polek.897.pdf
    Download Restriction: free of charge

    File URL: https://libkey.io/10.18267/j.polek.897?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Eboli, Fabio & Parrado, Ramiro & Roson, Roberto, 2010. "Climate-change feedback on economic growth: explorations with a dynamic general equilibrium model," Environment and Development Economics, Cambridge University Press, vol. 15(5), pages 515-533, October.
    2. 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.
    3. Jebaraj, S. & Iniyan, S., 2006. "A review of energy models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 10(4), pages 281-311, August.
    4. Bohringer, Christoph & Rutherford, Thomas F., 2008. "Combining bottom-up and top-down," Energy Economics, Elsevier, vol. 30(2), pages 574-596, March.
    5. Lutz, Christian & Meyer, Bernd, 2009. "Environmental and economic effects of post-Kyoto carbon regimes: Results of simulations with the global model GINFORS," Energy Policy, Elsevier, vol. 37(5), pages 1758-1766, May.
    6. Böhringer, Christoph & Rutherford, Thomos F., 2009. "Integrated assessment of energy policies: Decomposing top-down and bottom-up," Journal of Economic Dynamics and Control, Elsevier, vol. 33(9), pages 1648-1661, September.
    7. Jan Prùša & Andrea Klimešová & Karel Janda, 2012. "Economic Loss in Czech Photovoltaic Power Plants," Working Papers IES 2012/18, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Jul 2012.
    8. Milan Scasny & Vitezslav Pisa & Hector Pollit & Unnada Chewpreecha, 2009. "Analyzing Macroeconomic Effects of Environmental Taxation in the Czech Republic with the Econometric E3ME Model," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 59(5), pages 460-491, December.
    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. Milan Ščasný & Emanuele Massetti & Jan Melichar & Samuel Carrara, 2015. "Quantifying the Ancillary Benefits of the Representative Concentration Pathways on Air Quality in Europe," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 62(2), pages 383-415, October.

    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. Halkos, George, 2014. "The Economics of Climate Change Policy: Critical review and future policy directions," MPRA Paper 56841, University Library of Munich, Germany.
    2. Huppmann, Daniel & Egging, Ruud, 2014. "Market power, fuel substitution and infrastructure – A large-scale equilibrium model of global energy markets," Energy, Elsevier, vol. 75(C), pages 483-500.
    3. Maryse Labriet & Laurent Drouet & Marc Vielle & Richard Loulou & Amit Kanudia & Alain Haurie, 2015. "Assessment of the Effectiveness of Global Climate Policies Using Coupled Bottom-up and Top-down Models," Working Papers 2015.23, Fondazione Eni Enrico Mattei.
    4. André Sceia & Juan-Carlos Altamirano-Cabrera & Marc Vielle & Nicolas Weidmann, 2012. "Assessment of Acceptable Swiss post-2012 Climate Policies," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 148(II), pages 347-380, June.
    5. Laha, Priyanka & Chakraborty, Basab, 2017. "Energy model – A tool for preventing energy dysfunction," Renewable and Sustainable Energy Reviews, Elsevier, vol. 73(C), pages 95-114.
    6. Dai, Hancheng & Mischke, Peggy & Xie, Xuxuan & Xie, Yang & Masui, Toshihiko, 2016. "Closing the gap? Top-down versus bottom-up projections of China’s regional energy use and CO2 emissions," Applied Energy, Elsevier, vol. 162(C), pages 1355-1373.
    7. Kat, Bora, 2023. "Clean energy transition in the Turkish power sector: A techno-economic analysis with a high-resolution power expansion model," Utilities Policy, Elsevier, vol. 82(C).
    8. Murphy, Frederic & Pierru, Axel & Smeers, Yves, 2019. "Measuring the effects of price controls using mixed complementarity models," European Journal of Operational Research, Elsevier, vol. 275(2), pages 666-676.
    9. Farrokhifar, Meisam & Nie, Yinghui & Pozo, David, 2020. "Energy systems planning: A survey on models for integrated power and natural gas networks coordination," Applied Energy, Elsevier, vol. 262(C).
    10. Chang, Miguel & Lund, Henrik & Thellufsen, Jakob Zinck & Østergaard, Poul Alberg, 2023. "Perspectives on purpose-driven coupling of energy system models," Energy, Elsevier, vol. 265(C).
    11. McCallum, Peter & Jenkins, David P. & Peacock, Andrew D. & Patidar, Sandhya & Andoni, Merlinda & Flynn, David & Robu, Valentin, 2019. "A multi-sectoral approach to modelling community energy demand of the built environment," Energy Policy, Elsevier, vol. 132(C), pages 865-875.
    12. Rausch, Sebastian & Zhang, Da, 2018. "Capturing natural resource heterogeneity in top-down energy-economic equilibrium models," Energy Economics, Elsevier, vol. 74(C), pages 917-926.
    13. Rausch, Sebastian & Mowers, Matthew, 2014. "Distributional and efficiency impacts of clean and renewable energy standards for electricity," Resource and Energy Economics, Elsevier, vol. 36(2), pages 556-585.
    14. Ruth Delzeit & Roberto Beach & Ruben Bibas & Wolfgang Britz & Jean Chateau & Florian Freund & Julien Lefevre & Franziska Schuenemann & Timothy Sulser & Hugo Valin & Bas van Ruijven & Matthias Weitzel , 2020. "Linking global CGE models with sectoral models to generate baseline scenarios: Approaches, opportunities and pitfalls," Post-Print hal-03128285, HAL.
    15. Fortes, Patrícia & Pereira, Rui & Pereira, Alfredo & Seixas, Júlia, 2014. "Integrated technological-economic modeling platform for energy and climate policy analysis," Energy, Elsevier, vol. 73(C), pages 716-730.
    16. Di Leo, Senatro & Caramuta, Pietro & Curci, Paola & Cosmi, Carmelina, 2020. "Regression analysis for energy demand projection: An application to TIMES-Basilicata and TIMES-Italy energy models," Energy, Elsevier, vol. 196(C).
    17. Weber, Juliane & Heinrichs, Heidi Ursula & Gillessen, Bastian & Schumann, Diana & Hörsch, Jonas & Brown, Tom & Witthaut, Dirk, 2019. "Counter-intuitive behaviour of energy system models under CO2 caps and prices," Energy, Elsevier, vol. 170(C), pages 22-30.
    18. Guo, Jinyu & Ma, Jinji & Li, Zhengqiang & Hong, Jin, 2022. "Building a top-down method based on machine learning for evaluating energy intensity at a fine scale," Energy, Elsevier, vol. 255(C).
    19. Dale, M. & Krumdieck, S. & Bodger, P., 2012. "Global energy modelling — A biophysical approach (GEMBA) part 1: An overview of biophysical economics," Ecological Economics, Elsevier, vol. 73(C), pages 152-157.
    20. James Lennox & Ramiro Parrado, 2015. "Capital-embodied Technologies in CGE Models," Working Papers 2015.02, Fondazione Eni Enrico Mattei.

    More about this item

    Keywords

    environmental regulation; energy optimisation model; cost minimisation; MESSAGE; impact assessment; energy;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General
    • 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
    • Q53 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Air Pollution; Water Pollution; Noise; Hazardous Waste; Solid Waste; Recycling

    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:prg:jnlpol:v:2013:y:2013:i:2:id:897:p:248-273. 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: Stanislav Vojir (email available below). General contact details of provider: https://edirc.repec.org/data/uevsecz.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.