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Intertemporal optimization of the coal production capacity in China in terms of uncertain demand, economy, environment, and energy security

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  • Yang, Qing
  • Zhang, Lei
  • Zou, Shaohui
  • Zhang, Jinsuo

Abstract

As coal is the main energy source in China, coal overcapacity and undercapacity have negative impacts on the economy, environment, and energy security. To reveal the optimal production capacity (OPC), an intertemporal optimization model under uncertainty is established by a combined Dynamic Programming - Influence Factor - Scenario Analysis - Monte Carlo method (DP–IF–SA-MC). The OPCs in 1990–2025 are solved to minimize the expected cost to the economy and environment driven by the production capacity (PC) under energy security. In addition, we define, and calculate the PC deviation (PCD), or the deviation of the actual PC (APC) from the OPC. The results show that compared with the APC, the OPC has advantages of more stable development, more timely adjustment, and lower cost, and it provides cost savings of 302.857 billion yuan in 1990–2017. According to PCD, China's coal industry existed under the risk of overcapacity in 1990–1999 and 2009–2017 and undercapacity in 2000–2008, and it can experience overcapacity for most of the time without capacity reduction policies. In future, the optimal management of the PC should be based on the OPC and PCD over the next 5–10 years rather than the current capacity utilization rate, and focus on overcapacity management in the long run.

Suggested Citation

  • Yang, Qing & Zhang, Lei & Zou, Shaohui & Zhang, Jinsuo, 2020. "Intertemporal optimization of the coal production capacity in China in terms of uncertain demand, economy, environment, and energy security," Energy Policy, Elsevier, vol. 139(C).
    • Handle: RePEc:eee:enepol:v:139:y:2020:i:c:s0301421520301178
    DOI: 10.1016/j.enpol.2020.111360
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    as
    1. Zhang, Huiming & Zheng, Yu & Ozturk, U. Aytun & Li, Shanjun, 2016. "The impact of subsidies on overcapacity: A comparison of wind and solar energy companies in China," Energy, Elsevier, vol. 94(C), pages 821-827.
    2. Ford W. Harris, 1990. "How Many Parts to Make at Once," Operations Research, INFORMS, vol. 38(6), pages 947-950, December.
    3. Wang, Yuanyuan & Wang, Jianzhou & Zhao, Ge & Dong, Yao, 2012. "Application of residual modification approach in seasonal ARIMA for electricity demand forecasting: A case study of China," Energy Policy, Elsevier, vol. 48(C), pages 284-294.
    4. Wang, Delu & Wan, Kaidi & Song, Xuefeng & Liu, Yun, 2019. "Provincial allocation of coal de-capacity targets in China in terms of cost, efficiency, and fairness," Energy Economics, Elsevier, vol. 78(C), pages 109-128.
    5. Wang, Delu & Wang, Yadong & Song, Xuefeng & Liu, Yun, 2018. "Coal overcapacity in China: Multiscale analysis and prediction," Energy Economics, Elsevier, vol. 70(C), pages 244-257.
    6. Zhang, Xiaohan & Winchester, Niven & Zhang, Xiliang, 2017. "The future of coal in China," Energy Policy, Elsevier, vol. 110(C), pages 644-652.
    7. Lin, Jiang & Fridley, David & Lu, Hongyou & Price, Lynn & Zhou, Nan, 2018. "Has coal use peaked in China: Near-term trends in China's coal consumption," Energy Policy, Elsevier, vol. 123(C), pages 208-214.
    8. 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.
    9. Duan, Hongbo & Mo, Jianlei & Fan, Ying & Wang, Shouyang, 2018. "Achieving China's energy and climate policy targets in 2030 under multiple uncertainties," LSE Research Online Documents on Economics 86481, London School of Economics and Political Science, LSE Library.
    10. 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.
    11. Yu, Shiwei & Wei, Yi-Ming & Guo, Haixiang & Ding, Liping, 2014. "Carbon emission coefficient measurement of the coal-to-power energy chain in China," Applied Energy, Elsevier, vol. 114(C), pages 290-300.
    12. John Freidenfelds, 1980. "Capacity Expansion when Demand Is a Birth-Death Random Process," Operations Research, INFORMS, vol. 28(3-part-ii), pages 712-721, June.
    13. James C. Bean & Julia L. Higle & Robert L. Smith, 1992. "Capacity Expansion Under Stochastic Demands," Operations Research, INFORMS, vol. 40(3-supplem), pages 210-216, June.
    14. Yang, Qing & Hou, Xiaochao & Zhang, Lei, 2018. "Measurement of natural and cyclical excess capacity in China's coal industry," Energy Policy, Elsevier, vol. 118(C), pages 270-278.
    15. Pao, Hsiao-Tien & Fu, Hsin-Chia & Tseng, Cheng-Lung, 2012. "Forecasting of CO2 emissions, energy consumption and economic growth in China using an improved grey model," Energy, Elsevier, vol. 40(1), pages 400-409.
    16. Ding, Suiting & Zhang, Ming & Song, Yan, 2019. "Exploring China's carbon emissions peak for different carbon tax scenarios," Energy Policy, Elsevier, vol. 129(C), pages 1245-1252.
    17. Szoplik, Jolanta, 2015. "Forecasting of natural gas consumption with artificial neural networks," Energy, Elsevier, vol. 85(C), pages 208-220.
    18. Chen, Yongbao & Xu, Peng & Chu, Yiyi & Li, Weilin & Wu, Yuntao & Ni, Lizhou & Bao, Yi & Wang, Kun, 2017. "Short-term electrical load forecasting using the Support Vector Regression (SVR) model to calculate the demand response baseline for office buildings," Applied Energy, Elsevier, vol. 195(C), pages 659-670.
    19. A. W. Neebe & M. R. Rao, 1986. "Sequencing Capacity Expansion Projects in Continuous Time," Management Science, INFORMS, vol. 32(11), pages 1467-1479, November.
    20. Yu, Shi-wei & Zhu, Ke-jun, 2012. "A hybrid procedure for energy demand forecasting in China," Energy, Elsevier, vol. 37(1), pages 396-404.
    21. Shi, Xunpeng & Rioux, Bertrand & Galkin, Philipp, 2018. "Unintended consequences of China’s coal capacity cut policy," Energy Policy, Elsevier, vol. 113(C), pages 478-486.
    22. Wang, Hongye & Su, Bin & Mu, Hailin & Li, Nan & Jiang, Bo & Kong, Xue, 2019. "Optimization of electricity generation and interprovincial trading strategies in Southern China," Energy, Elsevier, vol. 174(C), pages 696-707.
    23. Zhang, Yanfang & Zhang, Ming & Liu, Yue & Nie, Rui, 2017. "Enterprise investment, local government intervention and coal overcapacity: The case of China," Energy Policy, Elsevier, vol. 101(C), pages 162-169.
    24. S. Rajagopalan, 1998. "Capacity Expansion and Equipment Replacement: A Unified Approach," Operations Research, INFORMS, vol. 46(6), pages 846-857, December.
    25. Zhu, Zhi-Shuang & Liao, Hua & Cao, Huai-Shu & Wang, Lu & Wei, Yi-Ming & Yan, Jinyue, 2014. "The differences of carbon intensity reduction rate across 89 countries in recent three decades," Applied Energy, Elsevier, vol. 113(C), pages 808-815.
    26. Duan, Hongbo & Mo, Jianlei & Fan, Ying & Wang, Shouyang, 2018. "Achieving China's energy and climate policy targets in 2030 under multiple uncertainties," Energy Economics, Elsevier, vol. 70(C), pages 45-60.
    27. Shanling Li & Devanath Tirupati, 1994. "Dynamic Capacity Expansion Problem with Multiple Products: Technology Selection and Timing of Capacity Additions," Operations Research, INFORMS, vol. 42(5), pages 958-976, October.
    28. Li, Yanting & He, Yong & Su, Yan & Shu, Lianjie, 2016. "Forecasting the daily power output of a grid-connected photovoltaic system based on multivariate adaptive regression splines," Applied Energy, Elsevier, vol. 180(C), pages 392-401.
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