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Investment optimization path of NG power generation in China based on carbon value realization and market linkage

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  • Zhen, Zaili
  • Lou, Liyun
  • Tian, Lixin
  • Gao, Qibing

Abstract

Basedonrealoptionstheory, this paper builds a model for analysing Chinese NG (Natural gas) power generation costs, cost reduced due to the substitution of original thermal power generation with NG power generation and the carbon value in this process. This study presents a mathematical representation of the cost savings of NG. It is the first model to introduce market linkage mechanism in order to discuss the problems with the analyses of the costs of China’s NG power generation. On the basis of considering many uncertain factors, this article attempts to unravel the market linkage effect based on the model analyses with and without the consideration of market linkage mechanism, as well as the impact analyses of the cost-savings in NG power generation project. From the perspective of power generation businesses, the paper model and analyse cost reduced brought by the substitution of original thermal power generation with NG power generation and the carbon value. Government subsidies and carbon values are added to the simulation section. The article provides the change curves of NG power generation, thermal power generation and carbon prices under random paths through path simulation and compares multiple uncertain factors under a single path. Five scenarios are proposed with different assumptions and the results indicate that the market linkage of nature gas price can help to decrease the cost of nature gas-fired power generation. Furthermore, it addresses the scenario of obtaining government subsidies to reduce the cost of NG power generation when carbon value exists. The conclusions of the study will help power companies assess the value of natural gas power generation projects and help them decide whether to invest in the project.

Suggested Citation

  • Zhen, Zaili & Lou, Liyun & Tian, Lixin & Gao, Qibing, 2018. "Investment optimization path of NG power generation in China based on carbon value realization and market linkage," Applied Energy, Elsevier, vol. 210(C), pages 241-255.
  • Handle: RePEc:eee:appene:v:210:y:2018:i:c:p:241-255
    DOI: 10.1016/j.apenergy.2017.11.023
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    References listed on IDEAS

    as
    1. Luis M. Abadie & José M. Chamorro, 2009. "Monte Carlo valuation of natural gas investments," Review of Financial Economics, John Wiley & Sons, vol. 18(1), pages 10-22, January.
    2. Zhao, Xingrong & Zhang, Xi & Shao, Shuai, 2016. "Decoupling CO2 emissions and industrial growth in China over 1993–2013: The role of investment," Energy Economics, Elsevier, vol. 60(C), pages 275-292.
    3. Shao, Shuai & Huang, Tao & Yang, Lili, 2014. "Using latent variable approach to estimate China׳s economy-wide energy rebound effect over 1954–2010," Energy Policy, Elsevier, vol. 72(C), pages 235-248.
    4. Eduardo S. Schwartz, 2004. "Patents and R&D as Real Options," Economic Notes, Banca Monte dei Paschi di Siena SpA, vol. 33(1), pages 23-54, February.
    5. Lu, Zhijian & Shao, Shuai, 2016. "Impacts of government subsidies on pricing and performance level choice in Energy Performance Contracting: A two-step optimal decision model," Applied Energy, Elsevier, vol. 184(C), pages 1176-1183.
    6. Guoming Lai & Mulan X. Wang & Sunder Kekre & Alan Scheller-Wolf & Nicola Secomandi, 2011. "Valuation of Storage at a Liquefied Natural Gas Terminal," Operations Research, INFORMS, vol. 59(3), pages 602-616, June.
    7. Jain, Shashi & Roelofs, Ferry & Oosterlee, Cornelis W., 2014. "Decision-support tool for assessing future nuclear reactor generation portfolios," Energy Economics, Elsevier, vol. 44(C), pages 99-112.
    8. Merton, Robert C., 1976. "Option pricing when underlying stock returns are discontinuous," Journal of Financial Economics, Elsevier, vol. 3(1-2), pages 125-144.
    9. Fan, Ying & Zhu, Lei, 2010. "A real options based model and its application to China's overseas oil investment decisions," Energy Economics, Elsevier, vol. 32(3), pages 627-637, May.
    10. Longstaff, Francis A & Schwartz, Eduardo S, 2001. "Valuing American Options by Simulation: A Simple Least-Squares Approach," University of California at Los Angeles, Anderson Graduate School of Management qt43n1k4jb, Anderson Graduate School of Management, UCLA.
    11. Longstaff, Francis A & Schwartz, Eduardo S, 2001. "Valuing American Options by Simulation: A Simple Least-Squares Approach," Review of Financial Studies, Society for Financial Studies, vol. 14(1), pages 113-147.
    12. Zhu, Lei & Fan, Ying, 2011. "A real options–based CCS investment evaluation model: Case study of China’s power generation sector," Applied Energy, Elsevier, vol. 88(12), pages 4320-4333.
    13. Davis, Graham A. & Owens, Brandon, 2003. "Optimizing the level of renewable electric R&D expenditures using real options analysis," Energy Policy, Elsevier, vol. 31(15), pages 1589-1608, December.
    14. Geoffrey Rothwell, 2006. "A Real Options Approach to Evaluating New Nuclear Power Plants," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1), pages 37-53.
    15. Dong, Xiucheng & Pi, Guanglin & Ma, Zhengwei & Dong, Cong, 2017. "The reform of the natural gas industry in the PR of China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 73(C), pages 582-593.
    16. Klaassen, R.E. & Patel, M.K., 2013. "District heating in the Netherlands today: A techno-economic assessment for NGCC-CHP (Natural Gas Combined Cycle combined heat and power)," Energy, Elsevier, vol. 54(C), pages 63-73.
    17. Engerer, Hella & Horn, Manfred, 2010. "Natural gas vehicles: An option for Europe," Energy Policy, Elsevier, vol. 38(2), pages 1017-1029, February.
    18. Lin, Boqiang & Wesseh, Presley K., 2013. "Valuing Chinese feed-in tariffs program for solar power generation: A real options analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 28(C), pages 474-482.
    19. He, Yongda & Lin, Boqiang, 2017. "The impact of natural gas price control in China: A computable general equilibrium approach," Energy Policy, Elsevier, vol. 107(C), pages 524-531.
    20. Shao, Shuai & Yang, Lili & Gan, Chunhui & Cao, Jianhua & Geng, Yong & Guan, Dabo, 2016. "Using an extended LMDI model to explore techno-economic drivers of energy-related industrial CO2 emission changes: A case study for Shanghai (China)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 516-536.
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    Cited by:

    1. Devine, Mel T. & Russo, Marianna, 2019. "Liquefied natural gas and gas storage valuation: Lessons from the integrated Irish and UK markets," Applied Energy, Elsevier, vol. 238(C), pages 1389-1406.
    2. 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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