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Utilising biohydrogen to increase methane production, energy yields and process efficiency via two stage anaerobic digestion of grass

descriptionPublicationkeyboard_double_arrow_right Article , Journal 01 Aug 2015Publisher:Elsevier BVJournal:Bioresource Technology, volume 189, pages 379-383 (issn: 0960-8524,

Authors: Gary Shipley; Jaime Massanet-Nicolau; Richard M. Dinsdale; Alan J. Guwy;

doi: 10.1016/j.biortech.2015.03.116

pmid: 25913885

Utilising biohydrogen to increase methane production, energy yields and process efficiency via two stage anaerobic digestion of grass

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Abstract

Real time measurement of gas production and composition were used to examine the benefits of two stage anaerobic digestion (AD) over a single stage AD, using pelletized grass as a feedstock. Controlled, parallel digestion experiments were performed in order to directly compare a two stage digestion system producing hydrogen and methane, with a single stage system producing just methane. The results indicated that as well as producing additional energy in the form of hydrogen, two stage digestion also resulted in significant increases to methane production, overall energy yields, and digester stability (as indicated by bicarbonate alkalinity and volatile fatty acid removal). Two stage AD resulted in an increase in energy yields from 10.36 MJ kg(-1) VS to 11.74 MJ kg(-1) VS, an increase of 13.4%. Using a two stage system also permitted a much shorter hydraulic retention time of 12 days whilst maintaining process stability.

Related Organizations

UNSW Sydney
Australia
University of South Wales
United Kingdom
University of South Wales
United Kingdom

Keywords

Alkalies, Fatty Acids, Volatile, Poaceae, Bicarbonates, Bioreactors, Biofuels, Thermodynamics, Anaerobiosis, Methane, Biotechnology, Hydrogen

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	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	61
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%