Evaluation of Potential Substrates for Biogas Production via Anaerobic Digestion: A Review

Noxolo T. Sibiya, Edison Muzenda, Charles Mbohwa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The anaerobic digestion of organic matter is now a widely-used technology, to address both energy and environment challenges. Biogas can be produced by landfill gas
(LG), or produced at sewage treatment plant, in anaerobic digestion of industrial, municipality and agricultural treatment. Biogas contains 50 ̶ 70% methane and 30 ̶50% carbon dioxide as well as small amounts of other gases, nevertheless, the quality of biogas composition is dependent on
the substrate type and technology used. Thus, this paper reviews the methane yield from various feedstocks. Sewage sludge has shown positive methane yield, nevertheless its conversion may be optimized by applying co-digestion process with organic fraction municipality waste (OFMSW) as a cosubstrate. Although pulp and paper mill sludge has high methane potential, the amount of methane yield is dependent on the pulp and paper process used and activated sludge plants (ASPs). Generally, methane yield from AD of slaughterhouse range between 160m3 /ton kg VS- 500 m3/ton kg VS, depending on the amount of blood presented and processes used.
Original languageEnglish
Title of host publicationProceedings of the World Congress on Engineering and Computer Science 2017
EditorsS. I. Ao, Craig Douglas, W. S. Grundfest
Pages583-588
Number of pages6
Volume2
ISBN (Electronic)978-988-14048-4-8
Publication statusPublished - 2017
EventWorld Congress on Engineering and Computer Science 2017 - San Francisco, United States
Duration: Oct 25 2017Oct 27 2017

Conference

ConferenceWorld Congress on Engineering and Computer Science 2017
Abbreviated titleWCECS 2017
CountryUnited States
CitySan Francisco
Period10/25/1710/27/17

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Sibiya, N. T., Muzenda, E., & Mbohwa, C. (2017). Evaluation of Potential Substrates for Biogas Production via Anaerobic Digestion: A Review. In S. I. Ao, C. Douglas, & W. S. Grundfest (Eds.), Proceedings of the World Congress on Engineering and Computer Science 2017 (Vol. 2, pp. 583-588)