IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v7y2015i9p12634-12643d55780.html
   My bibliography  Save this article

Effect of Composting Parameters on the Power Performance of Solid Microbial Fuel Cells

Author

Listed:
  • Chin-Tsan Wang

    (Department of Mechanical and Electro-Mechanical Engineering, National I-Lan University, I-Lan 26047, Taiwan)

  • Yao-Cheng Lee

    (Institute of Materials Science and Engineering, National Taipei University of Technology, Taipei 10608, Taiwan)

  • Fan-Ying Liao

    (Department of Mechanical and Electro-Mechanical Engineering, National I-Lan University, I-Lan 26047, Taiwan)

Abstract

Nowadays, solid organic waste is of major environmental concern and is reaching critical levels worldwide. Currently, a form of natural decomposition, known as composting technology, is widely used to deal with organic waste. This method is applied to enhance the performance of solid microbial fuel cells (SMFCs) in this study. Operational composting parameters (carbon/nitrogen ratio, moisture content and pH value) are investigated to explore the optimal power performance of solid microbial fuel cells (SMFCs). Results indicate that the carbon/nitrogen ratio and the moisture content displayed the most significant impact on SMFCs. When the carbon/nitrogen ratio is 31.4 and moisture content is 60%, along with a pH value of 6–8, a better SMFC power performance would be obtained. These findings would provide positive information regarding the application of compost in SMFCs.

Suggested Citation

  • Chin-Tsan Wang & Yao-Cheng Lee & Fan-Ying Liao, 2015. "Effect of Composting Parameters on the Power Performance of Solid Microbial Fuel Cells," Sustainability, MDPI, vol. 7(9), pages 1-10, September.
    • Handle: RePEc:gam:jsusta:v:7:y:2015:i:9:p:12634-12643:d:55780
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/7/9/12634/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/7/9/12634/
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Magotra, Verjesh Kumar & Kang, T.W. & Kim, D.Y. & Inamdar, Akbar I. & Walke, Pundalik D. & Lee, S.J. & Chavan, Harish S. & Kadam, Avinash A. & Im, Hyunsik & Jeon, H.C., 2022. "Urea fuel cell using cow dung compost soil as a novel biocatalyst for power generation applications," Energy, Elsevier, vol. 239(PD).
    2. Jakub Drewnowski & Francisco Jesus Fernandez-Morales, 2016. "Heterotrophic Anodic Denitrification in Microbial Fuel Cells," Sustainability, MDPI, vol. 8(6), pages 1-10, June.

    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:gam:jsusta:v:7:y:2015:i:9:p:12634-12643:d:55780. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.