IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v12y2019i5p777-d209163.html
   My bibliography  Save this article

Emission-Intensity-Based Carbon Tax and Its Impact on Generation Self-Scheduling

Author

Listed:
  • Ping Che

    (Department of Mathematics, College of Sciences, Northeastern University, Shenyang 110819, China)

  • Yanyan Zhang

    (Key Laboratory of Data Analytics and Optimization for Smart Industry (Northeastern University), Ministry of Education, Shenyang 110819, China)

  • Jin Lang

    (Key Laboratory of Data Analytics and Optimization for Smart Industry (Northeastern University), Ministry of Education, Shenyang 110819, China)

Abstract

We propose an emission-intensity-based carbon-tax policy for the electric-power industry and investigate the impact of the policy on thermal generation self-scheduling in a deregulated electricity market. The carbon-tax policy is designed to take a variable tax rate that increases stepwise with the increase of generation emission intensity. By introducing a step function to express the variable tax rate, we formulate the generation self-scheduling problem under the proposed carbon-tax policy as a mixed integer nonlinear programming model. The objective function is to maximize total generation profits, which are determined by generation revenue and the levied carbon tax over the scheduling horizon. To solve the problem, a decomposition algorithm is developed where the variable tax rate is transformed into a pure integer linear formulation and the resulting problem is decomposed into multiple generation self-scheduling problems with a constant tax rate and emission-intensity constraints. Numerical results demonstrate that the proposed decomposition algorithm can solve the considered problem in a reasonable time and indicate that the proposed carbon-tax policy can enhance the incentive for generation companies to invest in low-carbon generation capacity.

Suggested Citation

  • Ping Che & Yanyan Zhang & Jin Lang, 2019. "Emission-Intensity-Based Carbon Tax and Its Impact on Generation Self-Scheduling," Energies, MDPI, vol. 12(5), pages 1-17, February.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:5:p:777-:d:209163
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/12/5/777/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/12/5/777/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Johnson, Kenneth C., 2010. "A decarbonization strategy for the electricity sector: New-source subsidies," Energy Policy, Elsevier, vol. 38(5), pages 2499-2507, May.
    2. Gerbelová, Hana & Amorim, Filipa & Pina, André & Melo, Mário & Ioakimidis, Christos & Ferrão, Paulo, 2014. "Potential of CO2 (carbon dioxide) taxes as a policy measure towards low-carbon Portuguese electricity sector by 2050," Energy, Elsevier, vol. 69(C), pages 113-119.
    3. Soroudi, Alireza, 2013. "Robust optimization based self scheduling of hydro-thermal Genco in smart grids," Energy, Elsevier, vol. 61(C), pages 262-271.
    4. Kara, M. & Syri, S. & Lehtila, A. & Helynen, S. & Kekkonen, V. & Ruska, M. & Forsstrom, J., 2008. "The impacts of EU CO2 emissions trading on electricity markets and electricity consumers in Finland," Energy Economics, Elsevier, vol. 30(2), pages 193-211, March.
    5. Timothy Considine & Donald F. Larson, 2012. "Short Term Electric Production Technology Switching Under Carbon Cap and Trade," Energies, MDPI, vol. 5(10), pages 1-21, October.
    6. Zhang, Kun & Wang, Qian & Liang, Qiao-Mei & Chen, Hao, 2016. "A bibliometric analysis of research on carbon tax from 1989 to 2014," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 297-310.
    7. Cong, Rong-Gang & Wei, Yi-Ming, 2010. "Potential impact of (CET) carbon emissions trading on China’s power sector: A perspective from different allowance allocation options," Energy, Elsevier, vol. 35(9), pages 3921-3931.
    8. Alton, Theresa & Arndt, Channing & Davies, Rob & Hartley, Faaiqa & Makrelov, Konstantin & Thurlow, James & Ubogu, Dumebi, 2014. "Introducing carbon taxes in South Africa," Applied Energy, Elsevier, vol. 116(C), pages 344-354.
    9. Lin, Boqiang & Li, Xuehui, 2011. "The effect of carbon tax on per capita CO2 emissions," Energy Policy, Elsevier, vol. 39(9), pages 5137-5146, September.
    10. Zhang, Lirong & Li, Yakun & Jia, Zhijie, 2018. "Impact of carbon allowance allocation on power industry in China’s carbon trading market: Computable general equilibrium based analysis," Applied Energy, Elsevier, vol. 229(C), pages 814-827.
    11. Rong, Aiying & Lahdelma, Risto, 2007. "CO2 emissions trading planning in combined heat and power production via multi-period stochastic optimization," European Journal of Operational Research, Elsevier, vol. 176(3), pages 1874-1895, February.
    12. Jonathan F. Bard, 1988. "Short-Term Scheduling of Thermal-Electric Generators Using Lagrangian Relaxation," Operations Research, INFORMS, vol. 36(5), pages 756-766, October.
    13. Wei Wei & Yile Liang & Feng Liu & Shengwei Mei & Fang Tian, 2014. "Taxing Strategies for Carbon Emissions: A Bilevel Optimization Approach," Energies, MDPI, vol. 7(4), pages 1-18, April.
    14. Weng, Qingqing & Xu, He, 2018. "A review of China’s carbon trading market," Renewable and Sustainable Energy Reviews, Elsevier, vol. 91(C), pages 613-619.
    15. Nathaniel O. Keohane, 2009. "Cap and Trade, Rehabilitated: Using Tradable Permits to Control U.S. Greenhouse Gases," Review of Environmental Economics and Policy, Association of Environmental and Resource Economists, vol. 3(1), pages 42-62, Winter.
    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. Wen-Hsien Tsai, 2020. "Carbon Emission Reduction—Carbon Tax, Carbon Trading, and Carbon Offset," Energies, MDPI, vol. 13(22), pages 1-7, November.
    2. Rufaro Garidzirai, 2020. "Time Series Analysis of Carbon Dioxide Emission, Population, Carbon Tax and Energy use in South Africa," International Journal of Energy Economics and Policy, Econjournals, vol. 10(5), pages 353-360.

    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. Ye Duan & Zenglin Han & Hailin Mu & Jun Yang & Yonghua Li, 2019. "Research on the Impact of Various Emission Reduction Policies on China’s Iron and Steel Industry Production and Economic Level under the Carbon Trading Mechanism," Energies, MDPI, vol. 12(9), pages 1-26, April.
    2. Abdul-Manan, Amir F.N. & Arfaj, Abdullah & Babiker, Hassan, 2017. "Oil refining in a CO2 constrained world: Effects of carbon pricing on refineries globally," Energy, Elsevier, vol. 121(C), pages 264-275.
    3. Wei Wei & Yile Liang & Feng Liu & Shengwei Mei & Fang Tian, 2014. "Taxing Strategies for Carbon Emissions: A Bilevel Optimization Approach," Energies, MDPI, vol. 7(4), pages 1-18, April.
    4. Mardones, Cristian & Baeza, Nicolas, 2018. "Economic and environmental effects of a CO2 tax in Latin American countries," Energy Policy, Elsevier, vol. 114(C), pages 262-273.
    5. Li, Wei & Jia, Zhijie, 2016. "The impact of emission trading scheme and the ratio of free quota: A dynamic recursive CGE model in China," Applied Energy, Elsevier, vol. 174(C), pages 1-14.
    6. Tang, Ling & Shi, Jiarui & Bao, Qin, 2016. "Designing an emissions trading scheme for China with a dynamic computable general equilibrium model," Energy Policy, Elsevier, vol. 97(C), pages 507-520.
    7. Li, Yan & Feng, Tian-tian & Liu, Li-li & Zhang, Meng-xi, 2023. "How do the electricity market and carbon market interact and achieve integrated development?--A bibliometric-based review," Energy, Elsevier, vol. 265(C).
    8. Yanbin Li & Dan Nie & Bingkang Li & Xiyu Li, 2020. "The Spillover Effect between Carbon Emission Trading (CET) Price and Power Company Stock Price in China," Sustainability, MDPI, vol. 12(16), pages 1-17, August.
    9. Tian, Xu & Dai, Hancheng & Geng, Yong & Huang, Zhen & Masui, Toshihiko & Fujita, Tsuyoshi, 2017. "The effects of carbon reduction on sectoral competitiveness in China: A case of Shanghai," Applied Energy, Elsevier, vol. 197(C), pages 270-278.
    10. Jaskólski, Marcin, 2016. "Modelling long-term technological transition of Polish power system using MARKAL: Emission trade impact," Energy Policy, Elsevier, vol. 97(C), pages 365-377.
    11. Nopiah, Ririn & Widodo, Tri, 2019. "Climate Change Mitigation Through Market-based instruments in Large Asian Emitters," MPRA Paper 91230, University Library of Munich, Germany.
    12. Andrianesis, Panagiotis & Biskas, Pandelis & Liberopoulos, George, 2021. "Evaluating the cost of emissions in a pool-based electricity market," Applied Energy, Elsevier, vol. 298(C).
    13. Chang-Jing Ji & Xiao-Yi Li & Yu-Jie Hu & Xiang-Yu Wang & Bao-Jun Tang, 2019. "Research on carbon price in emissions trading scheme: a bibliometric analysis," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 99(3), pages 1381-1396, December.
    14. Pan, Yanchun & Yang, Wen & Ma, Nan & Chen, Zhimin & Zhou, Ming & Xiong, Yi, 2019. "Game analysis of carbon emission verification: A case study from Shenzhen's cap-and-trade system in China," Energy Policy, Elsevier, vol. 130(C), pages 418-428.
    15. Paula Pereda & Andrea Lucchesi, Carolina Policarpo Garcia, Bruno Toni Palialol, 2019. "Neutral carbon tax and environmental targets in Brazil," Working Papers, Department of Economics 2019_02, University of São Paulo (FEA-USP).
    16. Yifei Hua & Feng Dong, 2019. "China’s Carbon Market Development and Carbon Market Connection: A Literature Review," Energies, MDPI, vol. 12(9), pages 1-25, May.
    17. Xiao Yu & Yingdong Xu & Meng Sun & Yanzhe Zhang, 2021. "The Green-Innovation-Inducing Effect of a Unit Progressive Carbon Tax," Sustainability, MDPI, vol. 13(21), pages 1-18, October.
    18. Zhang, Cheng & Wang, Qunwei & Shi, Dan & Li, Pengfei & Cai, Wanhuan, 2016. "Scenario-based potential effects of carbon trading in China: An integrated approach," Applied Energy, Elsevier, vol. 182(C), pages 177-190.
    19. Nong, Duy & Simshauser, Paul & Nguyen, Duong Binh, 2021. "Greenhouse gas emissions vs CO2 emissions: Comparative analysis of a global carbon tax," Applied Energy, Elsevier, vol. 298(C).
    20. Zhang, Pan & Wang, Huan, 2022. "Do provincial energy policies and energy intensity targets help reduce CO2 emissions? Evidence from China," Energy, Elsevier, vol. 245(C).

    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:gam:jeners:v:12:y:2019:i:5:p:777-:d:209163. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.