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Assessing the CO2-emission risk due to wind-energy uncertainty

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  • Kuang, Zhonghong
  • Chen, Qi
  • Yu, Yang

Abstract

Wind power is a significant source of renewable energy, supporting reductions in emissions. However, the intermittency of wind power will cause uncertain carbon emissions and risks greenhouse-gas emission reduction. To address this issue, we analyzed the mechanism that converts wind-energy intermittency to carbon-emission uncertainty and developed metrics to assess the consequential risks of excessive carbon emissions. According to our empirical analyses on two American electricity markets, the Electric Reliability Council of Texas (ERCOT) and Pennsylvania-New Jersey-Maryland Interconnection (PJM), we found their carbon-emission risk is significant over the coming decade. The ten-year aggregated CO2 emissions between 2020 and 2030 have a 10% chance of exceeding their expected levels by 100 megatons. Our further analysis also shows that the CO2-emission risk is induced by the uncertainty of annual generation uncertainties and volatilities in the hourly wind power supply. Particularly, the two driving forces contribute heterogeneously to the carbon-emission risk in the two studied markets. Although the annual-generation randomness causes similar degrees of carbon-emission uncertainty in the two markets, the volatility-driven risk is only significant in the PJM market. According to the risk analyses, we suggested two types of investigations that are foundations for risk management: assessing the necessary installed capacity of wind energy that limits CO2-emission risk at desired confidence levels, and exploring hours when carbon emission is sensitive to wind-power volatility. The former helps set renewable-energy targets, while the latter is critical for designing policies hiring energy storage and zero-carbon generation technologies.

Suggested Citation

  • Kuang, Zhonghong & Chen, Qi & Yu, Yang, 2022. "Assessing the CO2-emission risk due to wind-energy uncertainty," Applied Energy, Elsevier, vol. 310(C).
    • Handle: RePEc:eee:appene:v:310:y:2022:i:c:s0306261922000897
    DOI: 10.1016/j.apenergy.2022.118615
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    1. David E. H. J. Gernaat & Harmen Sytze Boer & Vassilis Daioglou & Seleshi G. Yalew & Christoph Müller & Detlef P. Vuuren, 2021. "Climate change impacts on renewable energy supply," Nature Climate Change, Nature, vol. 11(2), pages 119-125, February.
    2. Mesfun, Sennai & Leduc, Sylvain & Patrizio, Piera & Wetterlund, Elisabeth & Mendoza-Ponce, Alma & Lammens, Tijs & Staritsky, Igor & Elbersen, Berien & Lundgren, Joakim & Kraxner, Florian, 2018. "Spatio-temporal assessment of integrating intermittent electricity in the EU and Western Balkans power sector under ambitious CO2 emission policies," Energy, Elsevier, vol. 164(C), pages 676-693.
    3. Ryna Yiyun Cui & Nathan Hultman & Diyang Cui & Haewon McJeon & Sha Yu & Morgan R. Edwards & Arijit Sen & Kaihui Song & Christina Bowman & Leon Clarke & Junjie Kang & Jiehong Lou & Fuqiang Yang & Jiaha, 2021. "A plant-by-plant strategy for high-ambition coal power phaseout in China," Nature Communications, Nature, vol. 12(1), pages 1-10, December.
    4. David E. H. J. Gernaat & Harmen Sytze Boer & Vassilis Daioglou & Seleshi G. Yalew & Christoph Müller & Detlef P. Vuuren, 2021. "Author Correction: Climate change impacts on renewable energy supply," Nature Climate Change, Nature, vol. 11(4), pages 362-362, April.
    5. Jung, Christopher & Schindler, Dirk, 2018. "On the inter-annual variability of wind energy generation – A case study from Germany," Applied Energy, Elsevier, vol. 230(C), pages 845-854.
    6. Scott Spillias & Peter Kareiva & Mary Ruckelshaus & Eve McDonald-Madden, 2020. "Renewable energy targets may undermine their sustainability," Nature Climate Change, Nature, vol. 10(11), pages 974-976, November.
    7. Spiecker, Stephan & Weber, Christoph, 2014. "The future of the European electricity system and the impact of fluctuating renewable energy – A scenario analysis," Energy Policy, Elsevier, vol. 65(C), pages 185-197.
    8. Dai, Xuemei & Li, Yaping & Zhang, Kaifeng & Feng, Wei, 2020. "A robust offering strategy for wind producers considering uncertainties of demand response and wind power," Applied Energy, Elsevier, vol. 279(C).
    9. He, Gang & Lin, Jiang & Sifuentes, Froylan & Liu, Xu & Abhyankar, Nikit & Phadke, Amol, 2020. "Author Correction: Rapid cost decrease of renewables and storage accelerates the decarbonization of China’s power system," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt11x8b9hc, Department of Agricultural & Resource Economics, UC Berkeley.
    10. Ogunjuyigbe, A.S.O. & Ayodele, T.R. & Akinola, O.A., 2016. "Optimal allocation and sizing of PV/Wind/Split-diesel/Battery hybrid energy system for minimizing life cycle cost, carbon emission and dump energy of remote residential building," Applied Energy, Elsevier, vol. 171(C), pages 153-171.
    11. Zhou, Sheng & Tong, Qing & Pan, Xunzhang & Cao, Min & Wang, Hailin & Gao, Ji & Ou, Xunmin, 2021. "Research on low-carbon energy transformation of China necessary to achieve the Paris agreement goals: A global perspective," Energy Economics, Elsevier, vol. 95(C).
    12. Salvia, Monica & Reckien, Diana & Pietrapertosa, Filomena & Eckersley, Peter & Spyridaki, Niki-Artemis & Krook-Riekkola, Anna & Olazabal, Marta & De Gregorio Hurtado, Sonia & Simoes, Sofia G. & Genele, 2021. "Will climate mitigation ambitions lead to carbon neutrality? An analysis of the local-level plans of 327 cities in the EU," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    13. Gang He & Jiang Lin & Froylan Sifuentes & Xu Liu & Nikit Abhyankar & Amol Phadke, 2020. "Rapid cost decrease of renewables and storage accelerates the decarbonization of China’s power system," Nature Communications, Nature, vol. 11(1), pages 1-9, December.
    14. Bakhtiari, Hamed & Zhong, Jin & Alvarez, Manuel, 2021. "Predicting the stochastic behavior of uncertainty sources in planning a stand-alone renewable energy-based microgrid using Metropolis–coupled Markov chain Monte Carlo simulation," Applied Energy, Elsevier, vol. 290(C).
    15. Yang, Yuqi & Zhou, Jianzhong & Liu, Guangbiao & Mo, Li & Wang, Yongqiang & Jia, Benjun & He, Feifei, 2020. "Multi-plan formulation of hydropower generation considering uncertainty of wind power," Applied Energy, Elsevier, vol. 260(C).
    16. Petkov, Ivalin & Gabrielli, Paolo & Spokaite, Marija, 2021. "The impact of urban district composition on storage technology reliance: trade-offs between thermal storage, batteries, and power-to-hydrogen," Energy, Elsevier, vol. 224(C).
    17. Daniel T. Kaffine, Brannin J. McBee, and Sean J. Ericson, 2020. "Intermittency and CO2 Reductions from Wind Energy," The Energy Journal, International Association for Energy Economics, vol. 0(Number 5), pages 23-54.
    18. Jäger-Waldau, Arnulf & Kougias, Ioannis & Taylor, Nigel & Thiel, Christian, 2020. "How photovoltaics can contribute to GHG emission reductions of 55% in the EU by 2030," Renewable and Sustainable Energy Reviews, Elsevier, vol. 126(C).
    19. Zhang, Xi & Geng, Yong & Shao, Shuai & Wilson, Jeffrey & Song, Xiaoqian & You, Wei, 2020. "China’s non-fossil energy development and its 2030 CO2 reduction targets: The role of urbanization," Applied Energy, Elsevier, vol. 261(C).
    20. A. T. D. Perera & Vahid M. Nik & Deliang Chen & Jean-Louis Scartezzini & Tianzhen Hong, 2020. "Quantifying the impacts of climate change and extreme climate events on energy systems," Nature Energy, Nature, vol. 5(2), pages 150-159, February.
    21. Ren, Guorui & Liu, Jinfu & Wan, Jie & Guo, Yufeng & Yu, Daren, 2017. "Overview of wind power intermittency: Impacts, measurements, and mitigation solutions," Applied Energy, Elsevier, vol. 204(C), pages 47-65.
    22. Zhang, Yagang & Zhao, Yunpeng & Shen, Xiaoyu & Zhang, Jinghui, 2022. "A comprehensive wind speed prediction system based on Monte Carlo and artificial intelligence algorithms," Applied Energy, Elsevier, vol. 305(C).
    23. Gang He & Jiang Lin & Froylan Sifuentes & Xu Liu & Nikit Abhyankar & Amol Phadke, 2020. "Author Correction: Rapid cost decrease of renewables and storage accelerates the decarbonization of China’s power system," Nature Communications, Nature, vol. 11(1), pages 1-1, December.
    24. Cadenas, Erasmo & Rivera, Wilfrido, 2007. "Wind speed forecasting in the South Coast of Oaxaca, México," Renewable Energy, Elsevier, vol. 32(12), pages 2116-2128.
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    Keywords

    Wind energy; Uncertainty; CO2 emission; Risk assessment;
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