IDEAS home Printed from https://ideas.repec.org/a/eee/enepol/v39y2011i3p1586-1599.html
   My bibliography  Save this article

Trend of technology innovation in China's coal-fired electricity industry under resource and environmental constraints

Author

Listed:
  • Yu, Fanxian
  • Chen, Jining
  • Sun, Fu
  • Zeng, Siyu
  • Wang, Can

Abstract

This research builds a technology-based bottom-up model to estimate the performance of China's coal-fired electricity industry on resource consumption and environmental emissions. From the integrated estimation of three scenarios characterizing different stages of technology innovation in 2007-2030, technology innovation is proven to be the determinant in decreasing resource use and environmental effects from electricity production, but analysis based on current policies reveals some doubt in achieving the coal consumption intensity control target. Constrained with national control targets, the best route of technology innovation is calculated by integrated benefit targeting optimization. Supercritical (SC) and ultra-supercritical (USC) pressure boilers, flue gas desulfurization (FGD) and closed-cycle wet cooling with a high circulation ratio will be the mainstream technologies before 2030 based on current policy. It is inevitable to close or reconstruct small power plants from the late 2010s, and integrated gasification combined cycle (IGCC) and pressurized fluidized bed combustion combined cycle (PFBC-CC) plants will show a competitive advantage in the late 2020s. However, air cooling and FGD systems will expand slower than the authorities' expectation, while higher water prices and SO2 charges promote the expansion. Stricter restrictions are also found to be positive for technological progress.

Suggested Citation

  • Yu, Fanxian & Chen, Jining & Sun, Fu & Zeng, Siyu & Wang, Can, 2011. "Trend of technology innovation in China's coal-fired electricity industry under resource and environmental constraints," Energy Policy, Elsevier, vol. 39(3), pages 1586-1599, March.
  • Handle: RePEc:eee:enepol:v:39:y:2011:i:3:p:1586-1599
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0301-4215(10)00934-1
    Download Restriction: Full text for ScienceDirect subscribers only

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Zhang, Qingyu & Weili, Tian & Yumei, Wei & Yingxu, Chen, 2007. "External costs from electricity generation of China up to 2030 in energy and abatement scenarios," Energy Policy, Elsevier, vol. 35(8), pages 4295-4304, August.
    2. Chen, Wenying, 2005. "The costs of mitigating carbon emissions in China: findings from China MARKAL-MACRO modeling," Energy Policy, Elsevier, vol. 33(7), pages 885-896, May.
    3. Kejun Jiang & Xiulian Hu, 2006. "Energy demand and emissions in 2030 in China: scenarios and policy options," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 7(3), pages 233-250, September.
    4. Wang, Bing, 2007. "An imbalanced development of coal and electricity industries in China," Energy Policy, Elsevier, vol. 35(10), pages 4959-4968, October.
    5. Vaillancourt, Kathleen & Labriet, Maryse & Loulou, Richard & Waaub, Jean-Philippe, 2008. "The role of nuclear energy in long-term climate scenarios: An analysis with the World-TIMES model," Energy Policy, Elsevier, vol. 36(7), pages 2296-2307, July.
    6. Larson, Eric D. & Zongxin, Wu & DeLaquil, Pat & Wenying, Chen & Pengfei, Gao, 2003. "Future implications of China's energy-technology choices," Energy Policy, Elsevier, vol. 31(12), pages 1189-1204, September.
    7. Wu, Zongxin & He, Jiankun & Zhang, Aling & Xu, Qing & Zhang, Shuyu & Sathaye, Jayant, 1994. "A macro-assessment of technology options for CO2 mitigation in China's energy system," Energy Policy, Elsevier, vol. 22(11), pages 907-913, November.
    8. Xu, Yan & Masui, Toshihiko, 2009. "Local air pollutant emission reduction and ancillary carbon benefits of SO2 control policies: Application of AIM/CGE model to China," European Journal of Operational Research, Elsevier, vol. 198(1), pages 315-325, October.
    9. Cai, Wenjia & Wang, Can & Wang, Ke & Zhang, Ying & Chen, Jining, 2007. "Scenario analysis on CO2 emissions reduction potential in China's electricity sector," Energy Policy, Elsevier, vol. 35(12), pages 6445-6456, December.
    10. Wang, Ke & Wang, Can & Lu, Xuedu & Chen, Jining, 2007. "Scenario analysis on CO2 emissions reduction potential in China's iron and steel industry," Energy Policy, Elsevier, vol. 35(4), pages 2320-2335, April.
    11. Liu, Hengwei & Ni, Weidou & Li, Zheng & Ma, Linwei, 2008. "Strategic thinking on IGCC development in China," Energy Policy, Elsevier, vol. 36(1), pages 1-11, January.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Zhang, Hui & Zhang, Bing & Bi, Jun, 2015. "More efforts, more benefits: Air pollutant control of coal-fired power plants in China," Energy, Elsevier, vol. 80(C), pages 1-9.
    2. repec:eee:appene:v:195:y:2017:i:c:p:125-136 is not listed on IDEAS
    3. Zeng, Ming & Yang, Yongqi & Wang, Lihua & Sun, Jinghui, 2016. "The power industry reform in China 2015: Policies, evaluations and solutions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 94-110.
    4. Chang, Yuan & Huang, Runze & Ries, Robert J. & Masanet, Eric, 2015. "Life-cycle comparison of greenhouse gas emissions and water consumption for coal and shale gas fired power generation in China," Energy, Elsevier, vol. 86(C), pages 335-343.
    5. Schreifels, Jeremy J. & Fu, Yale & Wilson, Elizabeth J., 2012. "Sulfur dioxide control in China: policy evolution during the 10th and 11th Five-year Plans and lessons for the future," Energy Policy, Elsevier, vol. 48(C), pages 779-789.
    6. Hui, Jingxuan & Cai, Wenjia & Wang, Can & Ye, Minhua, 2017. "Analyzing the penetration barriers of clean generation technologies in China’s power sector using a multi-region optimization model," Applied Energy, Elsevier, vol. 185(P2), pages 1809-1820.
    7. Wang, Can & Ye, Minhua & Cai, Wenjia & Chen, Jining, 2014. "The value of a clear, long-term climate policy agenda: A case study of China’s power sector using a multi-region optimization model," Applied Energy, Elsevier, vol. 125(C), pages 276-288.
    8. repec:eee:enepol:v:115:y:2018:i:c:p:291-301 is not listed on IDEAS
    9. Wang, Ke & Wang, Shanshan & Liu, Lei & Yue, Hui & Zhang, Ruiqin & Tang, Xiaoyan, 2016. "Environmental co-benefits of energy efficiency improvement in coal-fired power sector: A case study of Henan Province, China," Applied Energy, Elsevier, vol. 184(C), pages 810-819.
    10. Shang, Yizi & Lu, Shibao & Li, Xiaofei & Hei, Pengfei & Lei, Xiaohui & Gong, Jiaguo & Liu, Jiahong & Zhai, Jiaqi & Wang, Hao, 2017. "Balancing development of major coal bases with available water resources in China through 2020," Applied Energy, Elsevier, vol. 194(C), pages 735-750.
    11. Jiang, Suqin & Chen, Zun & Shan, Li & Chen, Xinyu & Wang, Haikun, 2017. "Committed CO2 emissions of China's coal-fired power generators from 1993 to 2013," Energy Policy, Elsevier, vol. 104(C), pages 295-302.
    12. Qin, Ying & Curmi, Elizabeth & Kopec, Grant M. & Allwood, Julian M. & Richards, Keith S., 2015. "China's energy-water nexus – assessment of the energy sector's compliance with the “3 Red Lines” industrial water policy," Energy Policy, Elsevier, vol. 82(C), pages 131-143.
    13. Kuramochi, Takeshi & Ramírez, Andrea & Turkenburg, Wim & Faaij, André, 2013. "Techno-economic prospects for CO2 capture from distributed energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 19(C), pages 328-347.
    14. 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.
    15. Hejazi, Mohamad & Edmonds, James & Clarke, Leon & Kyle, Page & Davies, Evan & Chaturvedi, Vaibhav & Wise, Marshall & Patel, Pralit & Eom, Jiyong & Calvin, Katherine & Moss, Richard & Kim, Son, 2014. "Long-term global water projections using six socioeconomic scenarios in an integrated assessment modeling framework," Technological Forecasting and Social Change, Elsevier, vol. 81(C), pages 205-226.
    16. repec:eee:appene:v:235:y:2019:i:c:p:827-834 is not listed on IDEAS
    17. repec:eee:appene:v:235:y:2019:i:c:p:31-42 is not listed on IDEAS

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:enepol:v:39:y:2011:i:3:p:1586-1599. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Dana Niculescu). General contact details of provider: http://www.elsevier.com/locate/enpol .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.