IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v18y1993i4p365-369.html
   My bibliography  Save this article

A model of the energy-supply and demand system at the village level

Author

Listed:
  • Fang, Zhen

Abstract

The network diagram of an energy-supply and demand system is drawn, as well as a linear optimized model of energy integrated in the economy. The target is the least cost of energy supply and the best energy-supply structure. An SD model is built to predict and study long-term changes of the system. Finally, the two models are combined and applied to a village with a population of 800 people in the North China Plain. Results of computer simulation show that in the base year (1990) if energy-transformation devices are properly installed, the cost of the supply system will reach the lowest level while meeting the energy demand and some energy is saved. With development of the economy and a rise of living standard, energy supply will become an important factor for rural economic development. Alternative plans to simulate the system yield different results for the influence on the economy.

Suggested Citation

  • Fang, Zhen, 1993. "A model of the energy-supply and demand system at the village level," Energy, Elsevier, vol. 18(4), pages 365-369.
  • Handle: RePEc:eee:energy:v:18:y:1993:i:4:p:365-369
    DOI: 10.1016/0360-5442(93)90071-K
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/036054429390071K
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/0360-5442(93)90071-K?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
    ---><---

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

    Citations

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


    Cited by:

    1. Yang, Cheng-Yuan & Fang, Zhen & Li, Bo & Long, Yun-feng, 2012. "Review and prospects of Jatropha biodiesel industry in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(4), pages 2178-2190.
    2. Siddaiah, Rajanna & Saini, R.P., 2016. "A review on planning, configurations, modeling and optimization techniques of hybrid renewable energy systems for off grid applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 376-396.
    3. Laha, Priyanka & Chakraborty, Basab, 2017. "Energy model – A tool for preventing energy dysfunction," Renewable and Sustainable Energy Reviews, Elsevier, vol. 73(C), pages 95-114.

    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:eee:energy:v:18:y:1993:i:4:p:365-369. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    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.