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Burning wood pellets for US electricity generation? A regime switching analysis

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  • Mei, Bin
  • Wetzstein, Michael

Abstract

Applying a regime switching model under the theoretic framework of real options, we inspect the optimal timing boundaries for coal and coal mixed wood pellets as two alternative fuels for a power plant in Georgia, United States. Results indicate that cofiring wood pellets with coal is generally not a commercially viable option. However, lower-level (with wood pellets<15%) cofiring could have been feasible during the infancy period (2009–2011) when wood pellet price was declining. Sensitivity analysis shows that our conclusions are robust and the most important factors are relative prices of coal and mixed fuel. Therefore, we reject the null hypothesis that cofiring is economically feasible and suggest using policy vehicles to stimulate the bioenergy market and meet the greenhouse gas emission reduction target. In particular, a subsidy of $1.40/mmbtu to the 10% mixed fuel or a tax of $1.50/mmbtu on coal would prompt the conversions of coal-only power plants to cofiring ones, and a subsidy of $0.45/mmbtu to the 10% mixed fuel or a tax of $0.50/mmbtu on coal would maintain existing cofiring power plants in the status quo.

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  • Mei, Bin & Wetzstein, Michael, 2017. "Burning wood pellets for US electricity generation? A regime switching analysis," Energy Economics, Elsevier, vol. 65(C), pages 434-441.
  • Handle: RePEc:eee:eneeco:v:65:y:2017:i:c:p:434-441
    DOI: 10.1016/j.eneco.2017.05.025
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    References listed on IDEAS

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    Cited by:

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    3. Caurla, Sylvain & Bertrand, Vincent & Delacote, Philippe & Le Cadre, Elodie, 2018. "Heat or power: How to increase the use of energy wood at the lowest cost?," Energy Economics, Elsevier, vol. 75(C), pages 85-103.
    4. Lenka Štofová & Petra Szaryszová & Bohuslava Mihalčová, 2021. "Testing the Bioeconomic Options of Transitioning to Solid Recovered Fuel: A Case Study of a Thermal Power Plant in Slovakia," Energies, MDPI, vol. 14(6), pages 1-20, March.
    5. Kung, Chih-Chun & Zhang, Ning & Choi, Yongrok & Xiong, Kai & Yu, Jiangli, 2019. "Effectiveness of crop residuals in ethanol and pyrolysis-based electricity production: A stochastic analysis under uncertain climate impacts," Energy Policy, Elsevier, vol. 125(C), pages 267-276.
    6. Nabavi, Vahid & Azizi, Majid & Tarmian, Asghar & Ray, Charles David, 2020. "Feasibility study on the production and consumption of wood pellets in Iran to meet return-on-investment and greenhouse gas emissions targets," Renewable Energy, Elsevier, vol. 151(C), pages 1-20.
    7. Ping Shi & Bo Yan & Jun Zhao, 2020. "Appropriate timing for SMEs to introduce an Internet-based online channel under uncertain operating costs: a real options analysis," Electronic Commerce Research, Springer, vol. 20(4), pages 969-999, December.

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    More about this item

    Keywords

    Bioenergy; Decision-making; Forestry; Greenhouse gas emission; Real options;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • Q23 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Forestry
    • Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources
    • Q58 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Government Policy

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