IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v279y2020ics0306261920313003.html
   My bibliography  Save this article

Solar fuel production from CO2 reduction in a self-biased hybrid solar-microbial device

Author

Listed:
  • Xiao, Shuai
  • Fu, Qian
  • Zou, Yanan
  • Xiong, Kerui
  • Li, Jun
  • Liao, Qiang
  • Zhang, Liang
  • Zhu, Xun

Abstract

Solar-driven carbon-based fuels production is a promising way to store solar energy and alleviate the greenhouse effect. However, current approaches face a lot of challenges, such as poor selectivity, high overpotential, and the requirement of external electrical bias. In this study, based on the photoelectrochemical and bioelectrochemical technologies, we reported a novel self-biased hybrid solar-microbial device, which was capable of converting solar energy into methane without external electrical bias. Owing to the self-generated bias (~0.47 V) from the bioanode and the low overpotential (<50 mV) of the biocathode, the hybrid system demonstrated the conversion from carbon dioxide to methane with a high Faradaic efficiency up to 95.2% and retained a prolonged stability for 30 h using the solar energy as the sole energy input. Moreover, the hybrid system also achieved organic wastewater removal and azo dyes degradation. The development of the hybrid system for solar fuels production can provide a new way to address the increasing demand for renewable energy.

Suggested Citation

  • Xiao, Shuai & Fu, Qian & Zou, Yanan & Xiong, Kerui & Li, Jun & Liao, Qiang & Zhang, Liang & Zhu, Xun, 2020. "Solar fuel production from CO2 reduction in a self-biased hybrid solar-microbial device," Applied Energy, Elsevier, vol. 279(C).
  • Handle: RePEc:eee:appene:v:279:y:2020:i:c:s0306261920313003
    DOI: 10.1016/j.apenergy.2020.115821
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261920313003
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.apenergy.2020.115821?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. Li, Zhuo & Fu, Qian & Chen, Hao & Xiao, Shuai & Li, Jun & Liao, Qiang & Zhu, Xun, 2022. "A mathematical model for CO2 conversion of CH4-producing biocathodes in microbial electrosynthesis systems," Renewable Energy, Elsevier, vol. 183(C), pages 719-728.

    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:appene:v:279:y:2020:i:c:s0306261920313003. 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.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    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.