IDEAS home Printed from https://ideas.repec.org/a/bla/inecol/v16y2012i1p105-118.html
   My bibliography  Save this article

Modeling and Optimization of a Coal‐Chemical Eco‐industrial System in China

Author

Listed:
  • Li Zhou
  • Shan‐ying Hu
  • Yourun Li
  • Yong Jin
  • Xiliang Zhang

Abstract

China is coal dependent, and this situation will persist for a long time. Because more and more attention has been paid to energy security, the coal‐chemical industry has become a hot topic and has developed quickly. To improve efficiency and reduce emissions, industrial symbiosis (IS) can be introduced when establishing a coal‐chemical eco‐industrial system to achieve harmonious development between nature, industry, and society. In order to learn the influence of IS on the current industrial system, a model of coal‐chemical eco‐industrial systems was built. Using scenario optimization and linear programming, the behaviors and optimal industrial structures of the system under different scenario settings were compared, and industrial ecological analysis was performed. By comparative analysis, results showed that the greatest proportional decrease in the use of coal for coking was 15% compared with actual data for 2005. The resource‐productivity and eco‐productivity were 828 yuan/ton and 2.51, which are much higher than the values of 548 yuan/ton and 1.23 in 2005. The symbiosis index and the link density were found to be 0.675 and 1.67, compared with 0.588 and 0.94 in 2005. Research results showed that the coal‐chemical eco‐industrial system achieved a high value‐added utilization of coal and an updated product profile. Such systems will constitute the main direction and the inevitable trend of China's coal utilization in the future, which will reduce the harm to the environment from increased coal use and benefit the energy industry, the economy, and society.

Suggested Citation

  • Li Zhou & Shan‐ying Hu & Yourun Li & Yong Jin & Xiliang Zhang, 2012. "Modeling and Optimization of a Coal‐Chemical Eco‐industrial System in China," Journal of Industrial Ecology, Yale University, vol. 16(1), pages 105-118, February.
  • Handle: RePEc:bla:inecol:v:16:y:2012:i:1:p:105-118
    DOI: 10.1111/j.1530-9290.2012.00447.x
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/j.1530-9290.2012.00447.x
    Download Restriction: no

    File URL: https://libkey.io/10.1111/j.1530-9290.2012.00447.x?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    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:bla:inecol:v:16:y:2012:i:1:p:105-118. See general information about how to correct material in RePEc.

    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.

    We have no bibliographic references for this item. You can help adding them by using 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: http://www.blackwellpublishing.com/journal.asp?ref=1088-1980 .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.