Bibliographic Details
| Title: |
Biogas production through syntrophic acetate oxidation and deliberate operating strategies for improved digester performance. |
| Authors: |
Westerholm, Maria1 Maria.Westerholm@slu.se, Moestedt, Jan2 Anna.Schnurer@slu.se, Schnürer, Anna1 Jan.Moestedt@tekniskaverken.se |
| Source: |
Applied Energy. Oct2016, Vol. 179, p124-135. 12p. |
| Subjects: |
Biogas production, Acetates, Oxidation, Digester gas, Methane synthesis, Microbial ecology |
| Abstract: |
Anaerobic degradation of protein-rich materials has high methane potential and produces nutrient-rich residue, but requires strategies to avoid ammonia inhibition. A well-adapted process can cope with substantially higher ammonia levels than an unadapted process and analyses of pathways for methanisation of acetate, combined with determination of microbial community structure, strongly indicate that this is due to a significant contribution of syntrophic acetate oxidation. The microorganisms involved in syntrophic acetate oxidation thus most likely occupy a unique niche and play an important role in methane formation. This review summarises current insight of syntrophic acetate oxidising microorganisms, their presence and the detection of novel species and relate these observations with operating conditions of the biogas processes in order to explore contributing factors for development of an ammonia-tolerant microbial community that efficiently degrades acetate through the syntrophic pathway. Besides high ammonia level, acetate concentration, temperature and methanogenic community structure are considered in this review as likely factors that shape and influence SAO-mediated microbial ecosystems. The main purpose of this review is to facilitate process optimisation through considering the activity and growth of this key microbial community. [ABSTRACT FROM AUTHOR] |
|
Copyright of Applied Energy is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| Database: |
Engineering Source |