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Current progress in anaerobic digestion reactors and parameters optimization

delete2022-01-06
delete29
PRE
AI
L
Lisandra Rocha‐Meneses *
R
Rawan Zannerni
A
Abrar Inayat
M
Mohamed Abdallah
A
Abdallah Shanableh
C
Chaouki Ghenaï
M
Mohammed Kamil
T
Timo Kikas
DOI:10.1007/s13399-021-02224-zdelete
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Abstract

Abstract

En 中文
Anaerobic digestion is a well-known technology and has been widely used for waste management, waste treatment, production of value-added products, and energy recovery. However, it still has social, economic, and technological challenges mainly caused by volatile fatty-acid accumulation, instability, foaming, low buffer capacity, and high costs. Often, these problems lead to higher digestion times, production of intermediate and inhibitory compounds, reduced methane yields, and low efficiency. One possible solution to make anaerobic digestion more attractive and to enhance the quality and quantity of biogas generated at the end of the production chain is the development of optimization and modeling techniques. The implementation of such strategies in anaerobic digestion systems can help to reduce investment costs, energy requirements, and environmental load. As the studies currently available focuses only on specific aspects of anaerobic digestion systems, this paper provides a comprehensive overview of the different reactors that can be used in anaerobic digestion processes, the main parameters that influence its performance, and the different optimization and modeling techniques that can be utilized to make anaerobic digestion more attractive. The literature search shows that it is possible to overcome the drawbacks of anaerobic digestion systems by utilizing optimization and modeling techniques to improve the ratio, size, and concentration of the feedstock and inoculum; finding the most suitable pretreatment methods and operational parameters; and utilizing additives to increase the performance and efficiency of the process.
Keywords:
Biogas production
High-rate and low-rate reactors
Biomethane
Modeling
Optimization techniques

Journal

Biomass Conversion and Biorefinery cover
Biomass Conversion and Biorefinery
IF:
4.1
Papers:
7.0K
Citations:
2.2W

Organization

U
University of Sharjah
Scholars:
5.9K
Papers: 5.5K
Citations: 8.8K
Estonian University of Life Sciences cover
Estonian University of Life Sciences
Scholars:
2.1K
Papers: 1.4K
Citations: 2.5K