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Water use and demand forecasting model for coal-fired power generation plant in China

Author

Listed:
  • Xiao-jun Wang

    (Nanjing Hydraulic Research Institute
    Research Center for Climate Change, Ministry of Water Resources)

  • Amgad Elmahdi

    (Bureau of Meteorology)

  • Jian-yun Zhang

    (Nanjing Hydraulic Research Institute
    Research Center for Climate Change, Ministry of Water Resources)

  • Shamsuddin Shahid

    (Universiti Teknologi Malaysia)

  • Chuan-hua Liao

    (Nanjing Tech University)

  • Xu Zhang

    (Nanjing Hydraulic Research Institute
    Research Center for Climate Change, Ministry of Water Resources)

  • Yong-gang Liu

    (Water Resources Management Office of Shaanxi Province)

Abstract

China is planning to expand its coal power generation to meet its energy demand and support the economic development. The current level of water use for thermal power generation is 8% of total water use, China is a water-stressed country which is facing many new challenges including climate change and population growth. China’s future coal power industry will add further pressures on already stressed water resources. This raised the key question on how the limited water resources can be managed to meet the demand of planned coal power expansion. A great level of understanding on the present status of water use and forecasting future demand in coal power plant is very important to answer this question. However, knowledge gap, data availability and accessibility are the major challenge in this regard. This paper attempts to improve the knowledge of the water demand in the coal power generation plant in China by using a simple water use model. Furthermore, a method is proposed to forecast future water demand in coal power plant. The proposed method is applied for forecasting water demand in Shaanxi coal power bases in Northern China under four scenarios. The results showed that the future water demand for Shaanxi coal power base will increase by 102–161% compared to current use under different scenarios in order to increase the production capacity by 206%. Adopting the optimum level of current status of water use, it is possible to limit the increase in water demand by 102% or 47.119 million-m3. It is expected that the finding of the study would help decision-making processes in water resources management in Chinese coal power generation.

Suggested Citation

  • Xiao-jun Wang & Amgad Elmahdi & Jian-yun Zhang & Shamsuddin Shahid & Chuan-hua Liao & Xu Zhang & Yong-gang Liu, 2019. "Water use and demand forecasting model for coal-fired power generation plant in China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 21(4), pages 1675-1693, August.
    • Handle: RePEc:spr:endesu:v:21:y:2019:i:4:d:10.1007_s10668-018-0124-0
    DOI: 10.1007/s10668-018-0124-0
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    References listed on IDEAS

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    1. World Bank, 2002. "China : Country Water Resources Assistance Strategy," World Bank Publications - Reports 15526, The World Bank Group.
    2. Michelle T. H. van Vliet & David Wiberg & Sylvain Leduc & Keywan Riahi, 2016. "Power-generation system vulnerability and adaptation to changes in climate and water resources," Nature Climate Change, Nature, vol. 6(4), pages 375-380, April.
    3. Zhu, Xiaojie & Guo, Ruipeng & Chen, Bin & Zhang, Jing & Hayat, Tasawar & Alsaedi, Ahmed, 2015. "Embodiment of virtual water of power generation in the electric power system in China," Applied Energy, Elsevier, vol. 151(C), pages 345-354.
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    Cited by:

    1. Mohammad Rajab Houmsi & Mohammed Sanusi Shiru & Mohamed Salem Nashwan & Kamal Ahmed & Ghaith Falah Ziarh & Shamsuddin Shahid & Eun-Sung Chung & Sungkon Kim, 2019. "Spatial Shift of Aridity and Its Impact on Land Use of Syria," Sustainability, MDPI, vol. 11(24), pages 1-18, December.
    2. Wang Xiao-jun & Zhang Jian-yun & Amgad Elmahdi & Shamsuddin Shahid & Gao Juan, 2023. "A water resources assessment framework for management strategies of large coal-power bases development in China," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 28(6), pages 1-19, August.

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