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Integrated resource strategic planning: Case study of energy efficiency in the Chinese power sector

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  • Hu, Zhaoguang
  • Tan, Xiandong
  • Yang, Fan
  • Yang, Ming
  • Wen, Quan
  • Shan, Baoguo
  • Han, Xinyang

Abstract

In the last quarter of the 20th century, many power companies used the integrated resource planning (IRP) approach in power expansion planning. Today, very few power companies use this approach because of the split between the power generation and distribution activities. It seems that, in some countries, long-term power system expansion planning has become a task of the central government. To help the government in this area, this paper proposes a new approach called the integrated resource strategic planning (IRSP). When combined with a smart grid, this approach can replace the IRP for the government's power sector expansion. This paper introduces the necessity and possibility of using this new approach, presents a framework on how to use the approach, and justifies the effectiveness of this approach against the traditional power planning approach, with a case study in China. This paper concludes that if China follows the IRSP approach, it may be able to avoid or postpone up to 69Â GW of power generation in the period 2009-2015. These measures could help mitigate 201.8 million tons of carbon dioxide (CO2), 0.816 million tons of sulfur dioxide (SO2), and 0.946 million tons of nitrogen oxide (NOx).

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  • Hu, Zhaoguang & Tan, Xiandong & Yang, Fan & Yang, Ming & Wen, Quan & Shan, Baoguo & Han, Xinyang, 2010. "Integrated resource strategic planning: Case study of energy efficiency in the Chinese power sector," Energy Policy, Elsevier, vol. 38(11), pages 6391-6397, November.
    • Handle: RePEc:eee:enepol:v:38:y:2010:i:11:p:6391-6397
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    References listed on IDEAS

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    Cited by:

    1. Li, Ying & Lukszo, Zofia & Weijnen, Margot, 2016. "The impact of inter-regional transmission grid expansion on China’s power sector decarbonization," Applied Energy, Elsevier, vol. 183(C), pages 853-873.
    2. Wang, Hongxia & Zhang, Junfeng & Fang, Hong, 2017. "Electricity footprint of China’s industrial sectors and its socioeconomic drivers," Resources, Conservation & Recycling, Elsevier, vol. 124(C), pages 98-106.
    3. Yan Xu & Jiahai Yuan & Huiming Xu, 2017. "Dynamic Integrated Resource Strategic Planning Model: A Case Study of China’s Power Sector Planning into 2050," Sustainability, MDPI, vol. 9(7), pages 1-21, July.
    4. Zheng, Yanan & Ren, Dongming & Guo, Zheyu & Hu, Zhaoguang & Wen, Quan, 2019. "Research on integrated resource strategic planning based on complex uncertainty simulation with case study of China," Energy, Elsevier, vol. 180(C), pages 772-786.
    5. Yuan, Jiahai & Xu, Yan & Kang, Junjie & Zhang, Xingping & Hu, Zheng, 2014. "Nonlinear integrated resource strategic planning model and case study in China's power sector planning," Energy, Elsevier, vol. 67(C), pages 27-40.
    6. Lyu, Yizheng & Gao, Hanbo & Yan, Kun & Liu, Yingjie & Tian, Jinping & Chen, Lyujun & Wan, Mei, 2022. "Carbon peaking strategies for industrial parks: Model development and applications in China," Applied Energy, Elsevier, vol. 322(C).
    7. Yuan, Jiahai & Xu, Yan & Hu, Zhaoguang, 2012. "Delivering power system transition in China," Energy Policy, Elsevier, vol. 50(C), pages 751-772.
    8. Li, Ying & Lukszo, Zofia & Weijnen, Margot, 2015. "The implications of CO2 price for China’s power sector decarbonization," Applied Energy, Elsevier, vol. 146(C), pages 53-64.
    9. Yuan, Jiahai & Xu, Yan & Hu, Zhen & Yu, Zhongfu & Liu, Jiangyan & Hu, Zhaoguang & Xu, Ming, 2012. "Managing electric power system transition in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(8), pages 5660-5677.
    10. Yuan, Jiahai & Hu, Zhaoguang, 2011. "Low carbon electricity development in China--An IRSP perspective based on Super Smart Grid," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(6), pages 2707-2713, August.
    11. Zheng, Yanan & Hu, Zhaoguang & Wang, Jianhui & Wen, Quan, 2014. "IRSP (integrated resource strategic planning) with interconnected smart grids in integrating renewable energy and implementing DSM (demand side management) in China," Energy, Elsevier, vol. 76(C), pages 863-874.
    12. Baldini, Mattia & Klinge Jacobsen, Henrik, 2016. "Optimal trade-offs between energy efficiency improvements and additional renewable energy supply: A review of international experiences," MPRA Paper 102031, University Library of Munich, Germany.
    13. J. Cabello & M. Luque & F. Miguel & A. Ruiz & F. Ruiz, 2014. "A multiobjective interactive approach to determine the optimal electricity mix in Andalucía (Spain)," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 22(1), pages 109-127, April.

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