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IRSP (integrated resource strategic planning) with interconnected smart grids in integrating renewable energy and implementing DSM (demand side management) in China

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  • Zheng, Yanan
  • Hu, Zhaoguang
  • Wang, Jianhui
  • Wen, Quan

Abstract

The China's electricity consumption was 4966 TWh in 2012, which is the world top electricity consumer. The low carbon electricity is one of the key issues of its sustainable development. IRSP (integrated resource strategic planning) is a useful tool to implement DSM (demand side management) and power planning on the supply side. However, the role of interconnected smart grids with fast growing cross-region transmission is not considered in the IRSP. Therefore, the paper proposes the model of IRSP with interconnected smart grids to integrate more renewable power generation to the grids and implement more DSM projects, which is called as IRSP-sgs (IRSP smart grids) model. Two scenarios are projected to study the impact of cross-region transmission on low carbon electricity by using the IRSP-sgs model until 2025 in China. Results show that the scenario with enhanced cross-region transmission helps to reduce electricity generation by 784.38 TWh and reduce CO2 emission by 999.57 million tons during 2013–2025, since the multi-regional power operation can integrate more than 488.30 TWh renewable generation into the grids and implement more DSM projects to substitute generation. In addition, it also provides tremendous opportunities to improve the stable operation of the power system.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:energy:v:76:y:2014:i:c:p:863-874
    DOI: 10.1016/j.energy.2014.08.087
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    1. 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.
    2. D'Sa, Antonette, 2005. "Integrated resource planning (IRP) and power sector reform in developing countries," Energy Policy, Elsevier, vol. 33(10), pages 1271-1285, July.
    3. Ma, Linwei & Liu, Pei & Fu, Feng & Li, Zheng & Ni, Weidou, 2011. "Integrated energy strategy for the sustainable development of China," Energy, Elsevier, vol. 36(2), pages 1143-1154.
    4. 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.
    5. Hu, Zhaoguang & Wen, Quan & Wang, Jianhui & Tan, Xiandong & Nezhad, Hameed & Shan, Baoguo & Han, Xinyang, 2010. "Integrated resource strategic planning in China," Energy Policy, Elsevier, vol. 38(8), pages 4635-4642, August.
    6. Li, Yong & Oberheitmann, Andreas, 2009. "Challenges of rapid economic growth in China: Reconciling sustainable energy use, environmental stewardship and social development," Energy Policy, Elsevier, vol. 37(4), pages 1412-1422, April.
    7. Cosentino, Valentina & Favuzza, Salvatore & Graditi, Giorgio & Ippolito, Mariano Giuseppe & Massaro, Fabio & Riva Sanseverino, Eleonora & Zizzo, Gaetano, 2012. "Smart renewable generation for an islanded system. Technical and economic issues of future scenarios," Energy, Elsevier, vol. 39(1), pages 196-204.
    8. 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.
    9. Wang, Jianhui & Bloyd, Cary N. & Hu, Zhaoguang & Tan, Zhongfu, 2010. "Demand response in China," Energy, Elsevier, vol. 35(4), pages 1592-1597.
    10. Shrestha, Ram M. & Marpaung, Charles O.P., 2006. "Integrated resource planning in the power sector and economy-wide changes in environmental emissions," Energy Policy, Elsevier, vol. 34(18), pages 3801-3811, December.
    11. Li, Zheng & Chang, Shiyao & Ma, Linwei & Liu, Pei & Zhao, Lingxiao & Yao, Qiang, 2012. "The development of low-carbon towns in China: Concepts and practices," Energy, Elsevier, vol. 47(1), pages 590-599.
    12. Amirnekooei, K. & Ardehali, M.M. & Sadri, A., 2012. "Integrated resource planning for Iran: Development of reference energy system, forecast, and long-term energy-environment plan," Energy, Elsevier, vol. 46(1), pages 374-385.
    13. Jiang, Bing & Sun, Zhenqing & Liu, Meiqin, 2010. "China's energy development strategy under the low-carbon economy," Energy, Elsevier, vol. 35(11), pages 4257-4264.
    14. Li, X. & Hubacek, K. & Siu, Y.L., 2012. "Wind power in China – Dream or reality?," Energy, Elsevier, vol. 37(1), pages 51-60.
    15. Eto, Joseph H., 1990. "An overview of analysis tools for integrated resource planning," Energy, Elsevier, vol. 15(11), pages 969-977.
    16. He, Jiankun & Deng, Jing & Su, Mingshan, 2010. "CO2 emission from China's energy sector and strategy for its control," Energy, Elsevier, vol. 35(11), pages 4494-4498.
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