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A framework for evaluating energy security in China: Empirical analysis of forecasting and assessment based on energy consumption

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  • Peng, Cheng
  • Chen, Heng
  • Lin, Chaoran
  • Guo, Shuang
  • Yang, Zhi
  • Chen, Ke

Abstract

To safeguard energy security and achieve sustainable development in the future, China's decision makers are focusing on the identification and assessment of energy security risks. In this study, we proposed a framework that combines the grey model and risk assessment model systematically to forecast and evaluate the energy security in China. Empirical results show that the curve of China's coal consumption would be a decreasing tendency within 2020–2029, however, other energy consumption would have an increasing trend in the future. Although the increase of China's oil products consumption from 2020 to 2029 is found as 142.76 million tons of equivalent, the curve of the data increases at a diminishing rate. Also, the risks of China's energy security in 2018 and 2022 are ‘moderate’ and ‘light’, respectively. According to the empirical results, we develop a hybrid system for energy storage based on the large-scale batteries to improve the efficiency of comprehensive utilization for renewable and clean energy. Research results also illustrate that the hybrid system of energy storage with large-scale batteries, involving the iron-based aqueous redox flow batteries (IBA-RFBs) and the compressed air energy storage (CAES), can not only improve the efficiency of energy storage, but also create more added value.

Suggested Citation

  • Peng, Cheng & Chen, Heng & Lin, Chaoran & Guo, Shuang & Yang, Zhi & Chen, Ke, 2021. "A framework for evaluating energy security in China: Empirical analysis of forecasting and assessment based on energy consumption," Energy, Elsevier, vol. 234(C).
    • Handle: RePEc:eee:energy:v:234:y:2021:i:c:s0360544221015620
    DOI: 10.1016/j.energy.2021.121314
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    as
    1. Hamzacebi, Coskun & Es, Huseyin Avni, 2014. "Forecasting the annual electricity consumption of Turkey using an optimized grey model," Energy, Elsevier, vol. 70(C), pages 165-171.
    2. Yuan, Jia-Hai & Kang, Jian-Gang & Zhao, Chang-Hong & Hu, Zhao-Guang, 2008. "Energy consumption and economic growth: Evidence from China at both aggregated and disaggregated levels," Energy Economics, Elsevier, vol. 30(6), pages 3077-3094, November.
    3. Dong, Zibo & Yang, Dazhi & Reindl, Thomas & Walsh, Wilfred M., 2015. "A novel hybrid approach based on self-organizing maps, support vector regression and particle swarm optimization to forecast solar irradiance," Energy, Elsevier, vol. 82(C), pages 570-577.
    4. Augutis, Juozas & Krikštolaitis, Ričardas & Martišauskas, Linas & Pečiulytė, Sigita & Žutautaitė, Inga, 2017. "Integrated energy security assessment," Energy, Elsevier, vol. 138(C), pages 890-901.
    5. Xu, Lei & Hou, Lei & Zhu, Zhenyu & Li, Yu & Liu, Jiaquan & Lei, Ting & Wu, Xingguang, 2021. "Mid-term prediction of electrical energy consumption for crude oil pipelines using a hybrid algorithm of support vector machine and genetic algorithm," Energy, Elsevier, vol. 222(C).
    6. Yao, Lixia & Chang, Youngho, 2014. "Energy security in China: A quantitative analysis and policy implications," Energy Policy, Elsevier, vol. 67(C), pages 595-604.
    7. Bai, Caiquan & Feng, Chen & Du, Kerui & Wang, Yuansheng & Gong, Yuan, 2020. "Understanding spatial-temporal evolution of renewable energy technology innovation in China: Evidence from convergence analysis," Energy Policy, Elsevier, vol. 143(C).
    8. Chen, Han & Chen, Wenying, 2019. "Potential impacts of coal substitution policy on regional air pollutants and carbon emission reductions for China's building sector during the 13th Five-Year Plan period," Energy Policy, Elsevier, vol. 131(C), pages 281-294.
    9. Huiming Duan & Guang Rong Lei & Kailiang Shao, 2018. "Forecasting Crude Oil Consumption in China Using a Grey Prediction Model with an Optimal Fractional-Order Accumulating Operator," Complexity, Hindawi, vol. 2018, pages 1-12, August.
    10. Ranjan, Ashish & Hughes, Larry, 2014. "Energy security and the diversity of energy flows in an energy system," Energy, Elsevier, vol. 73(C), pages 137-144.
    11. Guo, Hua & Deng, Shengxiang & Yang, Jinbiao & Liu, Jiangwei & Nie, Changda, 2020. "Analysis and prediction of industrial energy conservation in underdeveloped regions of China using a data pre-processing grey model," Energy Policy, Elsevier, vol. 139(C).
    12. Wang, Qiang & Song, Xiaoxing & Li, Rongrong, 2018. "A novel hybridization of nonlinear grey model and linear ARIMA residual correction for forecasting U.S. shale oil production," Energy, Elsevier, vol. 165(PB), pages 1320-1331.
    13. Geng, Jiang-Bo & Ji, Qiang, 2014. "Multi-perspective analysis of China's energy supply security," Energy, Elsevier, vol. 64(C), pages 541-550.
    14. Kong, Yuan & Feng, Chao & Yang, Jun, 2020. "How does China manage its energy market? A perspective of policy evolution," Energy Policy, Elsevier, vol. 147(C).
    15. Szablowski, Lukasz & Krawczyk, Piotr & Badyda, Krzysztof & Karellas, Sotirios & Kakaras, Emmanuel & Bujalski, Wojciech, 2017. "Energy and exergy analysis of adiabatic compressed air energy storage system," Energy, Elsevier, vol. 138(C), pages 12-18.
    16. Wang, Sixian & Zhang, Xuelin & Yang, Luwei & Zhou, Yuan & Wang, Junjie, 2016. "Experimental study of compressed air energy storage system with thermal energy storage," Energy, Elsevier, vol. 103(C), pages 182-191.
    17. Seera, Manjeevan & Tan, Choo Jun & Chong, Kok-Keong & Lim, Chee Peng, 2021. "Performance analyses of various commercial photovoltaic modules based on local spectral irradiances in Malaysia using genetic algorithm," Energy, Elsevier, vol. 223(C).
    18. Petković, Dalibor & Ćojbašič, Žarko & Nikolić, Vlastimir, 2013. "Adaptive neuro-fuzzy approach for wind turbine power coefficient estimation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 28(C), pages 191-195.
    19. Akay, Diyar & Atak, Mehmet, 2007. "Grey prediction with rolling mechanism for electricity demand forecasting of Turkey," Energy, Elsevier, vol. 32(9), pages 1670-1675.
    20. Yan, Junna & Su, Bin, 2020. "What drive the changes in China's energy consumption and intensity during 12th Five-Year Plan period?," Energy Policy, Elsevier, vol. 140(C).
    21. Pao, Hsiao-Tien & Tsai, Chung-Ming, 2011. "Modeling and forecasting the CO2 emissions, energy consumption, and economic growth in Brazil," Energy, Elsevier, vol. 36(5), pages 2450-2458.
    22. Sapkota, Alka & Lu, Zhibo & Yang, Haizhen & Wang, Juan, 2014. "Role of renewable energy technologies in rural communities' adaptation to climate change in Nepal," Renewable Energy, Elsevier, vol. 68(C), pages 793-800.
    23. Ofosu-Adarkwa, Jeffrey & Xie, Naiming & Javed, Saad Ahmed, 2020. "Forecasting CO2 emissions of China's cement industry using a hybrid Verhulst-GM(1,N) model and emissions' technical conversion," Renewable and Sustainable Energy Reviews, Elsevier, vol. 130(C).
    24. Markard, Jochen & Truffer, Bernhard, 2008. "Technological innovation systems and the multi-level perspective: Towards an integrated framework," Research Policy, Elsevier, vol. 37(4), pages 596-615, May.
    25. Fei, Li & Dong, Suocheng & Xue, Li & Liang, Quanxi & Yang, Wangzhou, 2011. "Energy consumption-economic growth relationship and carbon dioxide emissions in China," Energy Policy, Elsevier, vol. 39(2), pages 568-574, February.
    26. Ameyaw, Bismark & Yao, Li & Oppong, Amos & Agyeman, Joy Korang, 2019. "Investigating, forecasting and proposing emission mitigation pathways for CO2 emissions from fossil fuel combustion only: A case study of selected countries," Energy Policy, Elsevier, vol. 130(C), pages 7-21.
    27. Courtois, Nicolas & Najafiyazdi, Mostafa & Lotfalian, Reza & Boudreault, Richard & Picard, Mathieu, 2021. "Analytical expression for the evaluation of multi-stage adiabatic-compressed air energy storage (A-CAES) systems cycle efficiency," Applied Energy, Elsevier, vol. 288(C).
    28. Ma, Weimin & Zhu, Xiaoxi & Wang, Miaomiao, 2013. "Forecasting iron ore import and consumption of China using grey model optimized by particle swarm optimization algorithm," Resources Policy, Elsevier, vol. 38(4), pages 613-620.
    29. Wang, Jianzhou & Yang, Wendong & Du, Pei & Li, Yifan, 2018. "Research and application of a hybrid forecasting framework based on multi-objective optimization for electrical power system," Energy, Elsevier, vol. 148(C), pages 59-78.
    30. Chen, Lin & Lin, Weilong & Li, Junzi & Tian, Binbin & Pan, Haihong, 2016. "Prediction of lithium-ion battery capacity with metabolic grey model," Energy, Elsevier, vol. 106(C), pages 662-672.
    31. Wang, Qiang & Li, Shuyu & Li, Rongrong, 2018. "Forecasting energy demand in China and India: Using single-linear, hybrid-linear, and non-linear time series forecast techniques," Energy, Elsevier, vol. 161(C), pages 821-831.
    32. Yao, Lixia & Shi, Xunpeng & Andrews-Speed, Philip, 2018. "Conceptualization of energy security in resource-poor economies: The role of the nature of economy," Energy Policy, Elsevier, vol. 114(C), pages 394-402.
    33. Kim, Hyung-Mok & Rutqvist, Jonny & Ryu, Dong-Woo & Choi, Byung-Hee & Sunwoo, Choon & Song, Won-Kyong, 2012. "Exploring the concept of compressed air energy storage (CAES) in lined rock caverns at shallow depth: A modeling study of air tightness and energy balance," Applied Energy, Elsevier, vol. 92(C), pages 653-667.
    34. Luo, Xing & Wang, Jihong & Dooner, Mark & Clarke, Jonathan, 2015. "Overview of current development in electrical energy storage technologies and the application potential in power system operation," Applied Energy, Elsevier, vol. 137(C), pages 511-536.
    35. Song, Yan & Zhang, Ming & Sun, Ruifeng, 2019. "Using a new aggregated indicator to evaluate China's energy security," Energy Policy, Elsevier, vol. 132(C), pages 167-174.
    36. Minglu Ma & Min Su & Shuyu Li & Feng Jiang & Rongrong Li, 2018. "Predicting Coal Consumption in South Africa Based on Linear (Metabolic Grey Model), Nonlinear (Non-Linear Grey Model), and Combined (Metabolic Grey Model-Autoregressive Integrated Moving Average Model," Sustainability, MDPI, vol. 10(7), pages 1-15, July.
    37. Chimhowu, Admos O. & Hulme, David & Munro, Lauchlan T., 2019. "The ‘New’ national development planning and global development goals: Processes and partnerships," World Development, Elsevier, vol. 120(C), pages 76-89.
    38. Ji, Qiang & Zhang, Hai-Ying & Zhang, Dayong, 2019. "The impact of OPEC on East Asian oil import security: A multidimensional analysis," Energy Policy, Elsevier, vol. 126(C), pages 99-107.
    39. Haisheng Chen & Xinjing Zhang & Jinchao Liu & Chunqing Tan, 2013. "Compressed Air Energy Storage," Chapters, in: Ahmed F. Zobaa (ed.), Energy Storage - Technologies and Applications, IntechOpen.
    40. Sciacovelli, Adriano & Li, Yongliang & Chen, Haisheng & Wu, Yuting & Wang, Jihong & Garvey, Seamus & Ding, Yulong, 2017. "Dynamic simulation of Adiabatic Compressed Air Energy Storage (A-CAES) plant with integrated thermal storage – Link between components performance and plant performance," Applied Energy, Elsevier, vol. 185(P1), pages 16-28.
    41. Lei Jin & Keran Duan & Xu Tang, 2018. "What Is the Relationship between Technological Innovation and Energy Consumption? Empirical Analysis Based on Provincial Panel Data from China," Sustainability, MDPI, vol. 10(1), pages 1-13, January.
    42. VanDeventer, William & Jamei, Elmira & Thirunavukkarasu, Gokul Sidarth & Seyedmahmoudian, Mehdi & Soon, Tey Kok & Horan, Ben & Mekhilef, Saad & Stojcevski, Alex, 2019. "Short-term PV power forecasting using hybrid GASVM technique," Renewable Energy, Elsevier, vol. 140(C), pages 367-379.
    43. Wang, Deqing & Tian, Sihua & Fang, Lei & Xu, Yan, 2020. "A functional index model for dynamically evaluating China's energy security," Energy Policy, Elsevier, vol. 147(C).
    44. Pirlogea, Corina & Cicea, Claudiu, 2012. "Econometric perspective of the energy consumption and economic growth relation in European Union," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(8), pages 5718-5726.
    45. Tang, Ailie K.Y. & Lai, Kee-hung & Cheng, T.C.E., 2016. "A Multi-research-method approach to studying environmental sustainability in retail operations," International Journal of Production Economics, Elsevier, vol. 171(P3), pages 394-404.
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