4.7 Review

Improving biogas production using additives in anaerobic digestion: A review

Journal

JOURNAL OF CLEANER PRODUCTION
Volume 297, Issue -, Pages -

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.jclepro.2021.126666

Keywords

Anaerobic digestion; Additives; Enrichment methanogens; Increase biogas production; Renewable energy

Funding

  1. National Natural Science Funds of the People's Republic of China [31860659]
  2. Key Talent Project of Gansu Province [2020RCXM115]
  3. Key Research and Development Plan of Science and Technology Plan Project of Gansu Province [20YF3NA020]
  4. Application Research and Development Project of Gansu Academy of Sciences [2018JK-07]

Ask authors/readers for more resources

Anaerobic digestion (AD) is a popular renewable energy technology that produces sustainable energy from low-cost wastes. Additives have shown to improve AD performance significantly, but their usage still presents challenges in practice.
Anaerobic digestion (AD) is one of the most popular renewable energy technologies. The AD process produces sustainable energy using various low-cost wastes. Although AD technology is widely used, its low biodegradation efficiency and poor stability limit its commercial application. The use of additives has been shown to offer marked improvements in AD performance. However, in practice, the use of additives in AD is not fully understood. In this review, the principles and achievements of additives (including metal elements, carbon-based accelerants, biological additives, and alkali addition) promoting AD performance are summarized. The review also discusses the issues and development trend of each additive. There are still many challenges associated with using additives in AD systems owing to significant variations in digestion substrates and AD operational procedures. The dosage and types of additives have a great influence on the efficiency of AD, which mainly depend on the substrate. Moreover, the implementation process of each additive is not perfect. Therefore, it is essential to better utilize additives to promote AD performance according to the merits of each material. The application of composite additives requires further exploration to optimize the implementation process. This paper deepens our understanding of flexible additives in the AD process and provides comprehensive information that can be used to promote renewable clean energy. (C) 2021 Elsevier Ltd. All rights reserved.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

Article Chemistry, Analytical

Smart All-in-One Thermometer-Heater Nanoprobe Based on Postsynthetical Functionalization of a Eu(III)-Metal Organic Framework

Huicheng Yan, Hongyuhang Ni, Jianguo Jia, Changfu Shan, Tong Zhang, Yuxin Gong, Xiangkai Li, Jing Cao, Wenyu Wu, Weisheng Liu, Yu Tang

ANALYTICAL CHEMISTRY (2019)

Article Engineering, Environmental

The Application and Potential Artifacts of Zeeman Cold Vapor Atomic Absorption Spectrometry in Mercury Stable Isotope Analysis

Xia Lu, Jiangtao Zhao, Xujun Liang, Lijie Zhang, Yurong Liu, Xiangping Yin, Xiangkai Li, Baohua Gu

ENVIRONMENTAL SCIENCE & TECHNOLOGY LETTERS (2019)

Article Engineering, Environmental

Reducing methylmercury accumulation in fish using Escherichia coli with surface-displayed methylmercury-binding peptides

Minrui Liu, Xia Lu, Aman Khan, Zhenmin Ling, Peng Wang, Yu Tang, Pu Liu, Xiangkai Li

JOURNAL OF HAZARDOUS MATERIALS (2019)

Article Environmental Sciences

Hg2+-binding peptide decreases mercury ion accumulation in fish through a cell surface display system

Minrui Liu, Apurva Kakade, Pu Liu, Peng Wang, Yu Tang, Xiangkai Li

SCIENCE OF THE TOTAL ENVIRONMENT (2019)

Article Engineering, Environmental

Reducing residual antibiotic levels in animal feces using intestinal Escherichia coli with surface-displayed erythromycin esterase

Minrui Liu, Pengya Feng, Apurva Kakade, Ling Yang, Gang Chen, Xiaojun Yan, Hongyuhang Ni, Pu Liu, Saurabh Kulshreshtha, Abd El-Fatah Abomohra, Xiangkai Li

JOURNAL OF HAZARDOUS MATERIALS (2020)

Article Biotechnology & Applied Microbiology

Simultaneous biodetection and bioremediation of Cu2+ from industrial wastewater by bacterial cell surface display system

Minrui Liu, Zhengning Li, Zhengjun Chen, Xing-e Qi, Ling Yang, Gang Chen

Summary: In this study, a surface-engineered non-pathogenic Escherichia coli was designed and used for the highly selective detection and adsorption of Cu2+ ions. The engineered bacteria demonstrated rapid Cu2+ detection and removal from wastewater.

INTERNATIONAL BIODETERIORATION & BIODEGRADATION (2022)

Article Environmental Sciences

Reducing cadmium accumulation in shrimp using Escherichia coli with surface-displayed peptide

Minrui Liu, Xing-e Qi, Jiangyuan Han, Hongyuhang Ni, Shuqin Zhao

Summary: This study utilized genetic engineering to display a Cd-binding peptide on the surface of E. coli cells. The whole-cell adsorbent showed high affinity for Cd ions, removing 97.2% of Cd2+ in the solution. It successfully protected shrimp from Cd toxicity and mitigated changes in microbial community structure in the shrimp gut caused by Cd exposure.

ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY (2023)

Article Biotechnology & Applied Microbiology

Improvement of cow manure anaerobic digestion performance by three different crop straw biochars

Minrui Liu, Zhengning Li, Xing-e Qi, Zhengjun Chen, Hongyuhang Ni, Yuan Gao, Xia Liu

Summary: In this study, biochar was produced from potato, rape, and wheat straw at 600 degrees C, and then added to a batch anaerobic digestion (AD) system to improve biogas yield. The results showed that the three straw biochars increased cumulative methane production compared with the control group. Potato straw biochar presented the highest cumulative methane production. Significant differences in microbial communities between biochar and control groups were noticed, and the microbial community structure in the AD system was significantly related to the biochar properties. The addition of biochar increased the abundance of Methanobrevibacter in the biochar group.

ENVIRONMENTAL TECHNOLOGY & INNOVATION (2023)

Article Green & Sustainable Science & Technology

Relative evaluation of probabilistic methods for spatio-temporal wind forecasting

Lars odegaard Bentsen, Narada Dilp Warakagoda, Roy Stenbro, Paal Engelstad

Summary: This study investigates uncertainty modeling in wind power forecasting using different parametric and non-parametric methods. Johnson's SU distribution is found to outperform Gaussian distributions in predicting wind power. This research contributes to the literature by introducing Johnson's SU distribution as a candidate for probabilistic wind forecasting.

JOURNAL OF CLEANER PRODUCTION (2024)

Article Green & Sustainable Science & Technology

Comparison of ethane recovery processes for lean gas based on a coupled model

Xing Liu, Qiuchen Wang, Yunhao Wen, Long Li, Xinfang Zhang, Yi Wang

Summary: This study analyzes the characteristics of process parameters in three lean gas ethane recovery processes and establishes a prediction and multiobjective optimization model for ethane recovery and system energy consumption. A new method for comparing ethane recovery processes for lean gas is proposed, and the addition of extra coolers improves the ethane recovery. The support vector regression model based on grey wolf optimization demonstrates the highest prediction accuracy, and the multiobjective multiverse optimization algorithm shows the best optimization performance and diversity in the solutions.

JOURNAL OF CLEANER PRODUCTION (2024)

Article Green & Sustainable Science & Technology

A novel deep-learning framework for short-term prediction of cooling load in public buildings

Cairong Song, Haidong Yang, Xian-Bing Meng, Pan Yang, Jianyang Cai, Hao Bao, Kangkang Xu

Summary: The paper proposes a novel deep learning-based prediction framework, aTCN-LSTM, for accurate cooling load predictions. The framework utilizes a gate-controlled multi-head temporal convolutional network and a sparse probabilistic self-attention mechanism with a bidirectional long short-term memory network to capture both temporal and long-term dependencies in the cooling load sequences. Experimental results demonstrate the effectiveness and superiority of the proposed method, which can serve as an effective guide for HVAC chiller scheduling and demand management initiatives.

JOURNAL OF CLEANER PRODUCTION (2024)

Article Green & Sustainable Science & Technology

The impact of social interaction and information acquisition on the adoption of soil and water conservation technology by farmers: Evidence from the Loess Plateau, China

Zhe Chen, Xiaojing Li, Xianli Xia, Jizhou Zhang

Summary: This study uses survey data from the Loess Plateau in China to evaluate the impact of social interaction on the adoption of soil and water conservation (SWC) technology by farmers. The study finds that social interaction increases the likelihood of farmers adopting SWC, and internet use moderates this effect. The positive impact of social interaction on SWC adoption is more pronounced for farmers in larger villages and those who join cooperative societies.

JOURNAL OF CLEANER PRODUCTION (2024)

Article Green & Sustainable Science & Technology

Study on synergistic heat transfer enhancement and adaptive control behavior of baffle under sudden change of inlet velocity in a micro combustor

Chenghua Zhang, Yunfei Yan, Kaiming Shen, Zongguo Xue, Jingxiang You, Yonghong Wu, Ziqiang He

Summary: This paper reports a novel method that significantly improves combustion performance, including heat transfer enhancement under steady-state conditions and adaptive stable flame regulation under velocity sudden increase.

JOURNAL OF CLEANER PRODUCTION (2024)