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Delaying the introduction of emissions trading systems—Implications for power plant investment and operation from a multi-stage decision model

Author

Listed:
  • Jian-Lei Mo

    (Center for Energy and Environmental Policy Research, Center for Energy and Environmental Policy Research, Institute of Policy and Management - CAS - Chinese Academy of Sciences [Changchun Branch])

  • Joachim Schleich

    (Fraunhofer ISI - Fraunhofer Institute for Systems and Innovation Research - Fraunhofer-Gesellschaft - Fraunhofer, Virginia Polytechnic Institute and State University [Blacksburg], MTS - Management Technologique et Strategique - EESC-GEM Grenoble Ecole de Management)

  • Lei Zhu

    (University of Toronto)

  • Ying Fan

    (School of Economics & Management - BUAA - Beihang University)

Abstract

Relying on real options theory, we employ a multistage decision model to analyze the effect of delaying the introduction of emission trading systems (ETS) on power plant investments in carbon capture and storage (CCS) retrofits, on plant operation, and on carbon dioxide (CO2) abatement. Unlike previous studies, we assume that the investment decision is made before the ETS is in place, and we allow CCS operating flexibility for new power plant investments. Thus, the plant may be run in CCS-off mode if carbon prices are low. We employ Monte Carlo simulation methods to account for uncertainties in the prices of CO2 certificates, other inputs, and output prices, relying on a realistic parameterization for a supercritical pulverized coal plant in China. We find that CCS operating flexibility lowers the critical carbon price needed to support CCS investment because it renders CCS investment less irreversible. For a low carbon price path, operating flexibility also implies that delaying the introduction of an ETS hardly affects plant CO2 abatement since the plant operator is better off purchasing emission certificates rather than operating the plant in CCS mode. Interestingly, for low carbon prices we find a U-shaped relation between the length of the delay and the economic value of the plant. Thus, delaying the introduction of an ETS may make investors worse off.

Suggested Citation

  • Jian-Lei Mo & Joachim Schleich & Lei Zhu & Ying Fan, 2015. "Delaying the introduction of emissions trading systems—Implications for power plant investment and operation from a multi-stage decision model," Post-Print hal-01265934, HAL.
  • Handle: RePEc:hal:journl:hal-01265934
    DOI: 10.1016/j.eneco.2015.11.009
    Note: View the original document on HAL open archive server: http://hal.grenoble-em.com/hal-01265934
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    Cited by:

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    2. Mo, Jianlei & Cui, Lianbiao & Duan, Hongbo, 2021. "Quantifying the implied risk for newly-built coal plant to become stranded asset by carbon pricing," Energy Economics, Elsevier, vol. 99(C).
    3. Xiping Wang & Shaoyuan Qie, 2018. "Study on the investment timing of carbon capture and storage under different business modes," Greenhouse Gases: Science and Technology, Blackwell Publishing, vol. 8(4), pages 639-649, August.
    4. Hu, Junfei & Chen, Huanyue & Zhou, Peng & Guo, Peng, 2022. "Optimal subsidy level for waste-to-energy investment considering flexibility and uncertainty," Energy Economics, Elsevier, vol. 108(C).
    5. Zhang, Xinhua & Hueng, C. James & Lemke, Robert J., 2023. "Using a price floor on carbon allowances to achieve emission reductions under uncertainty," Economic Analysis and Policy, Elsevier, vol. 80(C), pages 1096-1110.
    6. Yao, Xing & Fan, Ying & Zhu, Lei & Zhang, Xian, 2020. "Optimization of dynamic incentive for the deployment of carbon dioxide removal technology: A nonlinear dynamic approach combined with real options," Energy Economics, Elsevier, vol. 86(C).
    7. Yang, Lin & Xu, Mao & Fan, Jingli & Liang, Xi & Zhang, Xian & Lv, Haodong & Wang, Dong, 2021. "Financing coal-fired power plant to demonstrate CCS (carbon capture and storage) through an innovative policy incentive in China," Energy Policy, Elsevier, vol. 158(C).
    8. Bistline, John E. & Comello, Stephen D. & Sahoo, Anshuman, 2018. "Managerial flexibility in levelized cost measures: A framework for incorporating uncertainty in energy investment decisions," Energy, Elsevier, vol. 151(C), pages 211-225.
    9. Thomas Aspinall & Adrian Gepp & Geoff Harris & Simone Kelly & Colette Southam & Bruce Vanstone, 2021. "Estimation of a term structure model of carbon prices through state space methods: The European Union emissions trading scheme," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 61(2), pages 3797-3819, June.
    10. Duan, Hongbo & Mo, Jianlei & Fan, Ying & Wang, Shouyang, 2018. "Achieving China's energy and climate policy targets in 2030 under multiple uncertainties," Energy Economics, Elsevier, vol. 70(C), pages 45-60.
    11. Xiping Wang & Hongdou Zhang, 2018. "Valuation of CCS investment in China's coal‐fired power plants based on a compound real options model," Greenhouse Gases: Science and Technology, Blackwell Publishing, vol. 8(5), pages 978-988, October.
    12. Tu, Qiang & Mo, Jianlei & Betz, Regina & Cui, Lianbiao & Fan, Ying & Liu, Yu, 2020. "Achieving grid parity of solar PV power in China- The role of Tradable Green Certificate," Energy Policy, Elsevier, vol. 144(C).
    13. Lei Zhu & Xing Yao & Xian Zhang, 2020. "Evaluation of cooperative mitigation: captured carbon dioxide for enhanced oil recovery," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 25(7), pages 1261-1285, October.

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    More about this item

    Keywords

    power plant investment; regulatory uncertainty; multistage decision; operating flexibility; real options theory; emissions trading; CCS; China;
    All these keywords.

    JEL classification:

    • C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling
    • D8 - Microeconomics - - Information, Knowledge, and Uncertainty
    • D9 - Microeconomics - - Micro-Based Behavioral Economics
    • G3 - Financial Economics - - Corporate Finance and Governance
    • Q4 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy
    • Q5 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics

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