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Study on the Development of U.S. Intercontinental Alliance Clean Renewable Energy Based on CA-DEA Model

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Cloud Computing and Security (ICCCS 2018)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11065))

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Abstract

This paper establishes a data envelopment analysis model to assess the sustainable development of energy in each state. At the same time, we use the principal component analysis method to select renewable energy indicators and form an evaluation system. Calculate and rank the clean renewable energy development index for each state and assess the development of clean energy in the four states. At the same time, we use the Corresponding analysis method, taking time and selected indicators as variables, and conducted a differentiated analysis of the development of energy indicators at each stage. Through a comprehensive analysis of indicators and factors such as the population, the geography, the climate, the industry, etc., we compared the development of each state, determined the choice of the best development area, and the similarities and differences between the development forecasts of the states in 2025 and 2050, and formulated proposal for faster and more effective development of the Intercontinental Union.

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References

  1. Li, Y.: Enlightenment of the United States in ensuring energy security. Outlook (8–9), 74–75 (2007)

    Google Scholar 

  2. Fan, Y., Fan, H.: Political and economic analysis of the United States 2007 new energy bill. Asia-Pacific Econ. Forum 31(1), 55–71 (2008)

    MathSciNet  Google Scholar 

  3. DufoLopez, R., BernalAgustín, J.L., Contreras, J.: Optimization of control strategies for standalone renewable energy systems with hydrogen storage. Renew. Energy 32(7), 1102–1126 (2007)

    Article  Google Scholar 

  4. Sudhakar, R., Painuly, J.P.: Diffusion of renewable energy technologies—barriers and stakeholders’ perspectives. Renew. Energy 29(9), 1431–1447 (2004)

    Article  Google Scholar 

  5. Chynoweth, D.P., Owens, J.M., Legrand, R.: Renewable methane from anaerobic digestion of biomass. Renew. Energy 22(1–3), 1–8 (2001)

    Article  Google Scholar 

  6. Li, H., Dong, L., Duan, H.X.: Research on comprehensive evaluation and structural optimization of renewable energy development in China. Resour. Sci. 03, 431–440 (2011)

    Google Scholar 

  7. Ran, W., Li, M.: Sustainability evaluation of renewable energy development based on SEE-2R model. China Popul. Resour. Environ. 06, 34–40 (2010)

    Google Scholar 

  8. Moore, T.: Electricity in the global energy future. EPRI-J. 24(3), 9–17 (1999)

    Google Scholar 

  9. Zhang, L.F.: Analysis of China’s economic growth and the impact of industrial structure on energy consumption. Econ. Probl. 5, 1–6 (2008)

    Google Scholar 

  10. Huang, X.J., Zhong, T.Y.: China’s carbon emission characteristics and its dynamic evolution analysis. China’s Popul. Resour. Environ. 18(3), 38–42 (2008)

    Article  Google Scholar 

  11. Song, D.Y., Lu, C.B.: Decomposition of China’s carbon emissions and its periodic fluctuation study. China’s Popul. Resour. Environ. 19(3), 18–24 (2009)

    Google Scholar 

  12. Ma, Z.H.: Comparative evaluation of several major energy greenhouse gases emission coefficients in China. China Inst. Atomic Energy 152–361 (2003)

    Google Scholar 

  13. Xu, G.Q., Liu, Z.Y., Jiang, Z.H.: The factorization model and empirical analysis of carbon emissions in China: 1995–2004. China Popul. Resour. Environ. 16(6), 158–161 (2006)

    Google Scholar 

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Acknowledgments

This research received financial support from the National Natural Science Foundation of China (Grant #: 61462022), the National Key Technology Support Program (Grant #: 2015BAH55F04, Grant #:2015BAH55F01), Major Science and Technology Project of Hainan province (Grant #: ZDKJ2016015), Natural Science Foundation of Hainan province (Grant #:617062, Grant #:20156235), Scientific Research Staring Foundation of Hainan University (Grant #: kyqd1610).

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Correspondence to Mengxing Huang .

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Dong, Y., Huang, M., Wu, D., He, X., Wang, Z., Bhatti, U.A. (2018). Study on the Development of U.S. Intercontinental Alliance Clean Renewable Energy Based on CA-DEA Model. In: Sun, X., Pan, Z., Bertino, E. (eds) Cloud Computing and Security. ICCCS 2018. Lecture Notes in Computer Science(), vol 11065. Springer, Cham. https://doi.org/10.1007/978-3-030-00012-7_29

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  • DOI: https://doi.org/10.1007/978-3-030-00012-7_29

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-00011-0

  • Online ISBN: 978-3-030-00012-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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