Biogas: Production, properties, applications, economic and challenges: A review

Jameel, Mohammed Khaleel; Mustafa, Mohammed Ahmed; Ahmed, Hassan Safi; Mohammed, Amira jassim; Ghazy, Hameed; Shakir, Maha Noori; Lawas, Amran Mezher; Mohammed, Saad khudhur; Idan, Ameer Hassan; Mahmoud, Zaid H.; Sayadi, Hamidreza; Kianfar, Ehsan

doi:10.1016/j.rechem.2024.101549

Cited by 16 publications

(1 citation statement)

References 98 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Analysing the connections between these substances and microbial populations using metagenomic and metabolomic investigations can offer valuable information about the metabolic pathways associated with anaerobic digestion and aid in improving the process for the sustainable production of methane. Through a thorough examination of the functions of various microorganisms and their mutually beneficial relationships, researchers can optimise the management of processes, increase effectiveness, and reduce the negative impact of substances such as ammonia and hydrogen sulphide on the synthesis of methane [93].…”

Section: Correlation Between Nutrients and Biogas Compositionmentioning

confidence: 99%

Investigating Methane, Carbon Dioxide, Ammonia, and Hydrogen Sulphide Content in Agricultural Waste during Biogas Production

Sihlangu,

Luseba,

Regnier

et al. 2024

Sustainability

View full text Add to dashboard Cite

The agricultural industry produces a substantial quantity of organic waste, and finding a suitable method for disposing of this highly biodegradable solid waste is a difficult task. The utilisation of anaerobic digestion for agricultural waste is a viable technological solution for both renewable energy production (biogas) and waste treatment. The primary objective of the study was to assess the composition of biogas, namely the percentages of methane, carbon dioxide, ammonia, and hydrogen sulphide. Additionally, the study aimed to quantify the amount of biogas produced and determine the methane yield (measured in NmL/g VS) from different agricultural substrates. The biochemical methane potential (BMP) measurements were conducted in triplicate using the BPC Instruments AMPTS II instrument. The substrates utilised in the investigation were chosen based on their accessibility. The substrates used in this study comprise cattle manure, chicken manure, pig manure, tomato plants, tomatoes, cabbage, mixed fruits, mixed vegetables, dog food, and a co-digestion of mixed vegetables, fruits, and dog food (MVMFDF). Prior to the cleaning process, the makeup of the biogas was assessed using the BIOGAS 5000, a Geotech Analyser. The AMPTS II flow cell automatically monitored and recorded the volume of bio-methane produced after the cleaning stage. The data were examined using the Minitab-17 software. The co-digestion of mixed vegetables, mixed fruits, and dog food (MVMFDF) resulted in the highest methane level of 77.4%, followed by mixed fruits at 76.6%, pig manure at 72.57%, and mixed vegetables at 70.1%. The chicken manure exhibited the greatest levels of ammonia (98.0 ppm) and hydrogen sulphide (589 ppm). Chicken manure had the highest hydrogen sulphide level, followed by pig manure (540 ppm), tomato plants (485 ppm), mixed fruits (250 ppm), and MVMFDF (208 ppm). Ultimately, the makeup of biogas is greatly affected by the unique qualities of each substrate. Substrates containing elevated quantities of hydrogen sulphide, such as chicken manure, require the process of biogas scrubbing. This is because they contain substantial amounts of ammonia and hydrogen sulphide, which can cause corrosion to the equipment in biogas plants. This emphasises the crucial need to meticulously choose substrates, with a specific focus on their organic composition and their capacity to generate elevated methane levels while minimising contaminants. Substrates with a high organic content, such as agricultural waste, are optimal for maximising the production of methane. Furthermore, the implementation of biogas scrubbing procedures is essential for efficiently decreasing carbon dioxide and hydrogen sulphide levels in biogas. By considering and tackling these problems, the effectiveness of biogas generation can be enhanced and its ecological consequences alleviated. This strategy facilitates the advancement of biogas as a sustainable energy source, hence contributing to the attainment of sustainable development goals (SDGs).

show abstract

Section: Correlation Between Nutrients and Biogas Compositionmentioning

confidence: 99%

Investigating Methane, Carbon Dioxide, Ammonia, and Hydrogen Sulphide Content in Agricultural Waste during Biogas Production

Sihlangu,

Luseba,

Regnier

et al. 2024

Sustainability

View full text Add to dashboard Cite

show abstract

Assessment of biogas production using chrome-tanned leather waste and its kinetic evaluation: Influence of different pre-treatment methods and co-digestion with food waste

Appala,

Pandhare,

Bajpai

2024

Biomass Conv. Bioref.

View full text Add to dashboard Cite

Review of anaerobic digestion models for organic solid waste treatment with a focus on the fates of C, N, and P

Yang,

Larsen,

Muhayodin

et al. 2024

Energ. Ecol. Environ.

View full text Add to dashboard Cite

Anaerobic digestion (AD) is a widely applied technology for renewable energy generation, environmental impact mitigation, and nutrient recycling. Despite its potential, critical gaps exist in modeling AD processes, particularly in understanding and predicting the fates of carbon (C), nitrogen (N), and phosphorus (P)—essential elements for advancing circular nutrient management. This review addresses two key questions: What are the limitations of current AD models in simulating nutrient fates, and how can future models improve these predictions? Our findings indicate that most AD models emphasize methane production, while models addressing nutrient transformations remain limited due to the complex biochemical interactions in AD systems. Mechanistic models, such as the Anaerobic Digestion Model No. 1 (ADM1), provide a foundational framework but are constrained by their complexity and the need for precise calibration, which limits scalability in larger applications. Emerging advances in artificial intelligence, particularly machine learning, offer promising solutions by enhancing model accuracy and predictive capabilities. AI-driven models enable real-time optimization and adaptive decision-making, which can expand AD applications at industrial scales. Future research should focus on integrating nutrient fate predictions with AI-driven methods to address these challenges, enhancing the role of AD in sustainable waste treatment systems.

show abstract

Biogas: Production, properties, applications, economic and challenges: A review

Cited by 16 publications

References 98 publications

Investigating Methane, Carbon Dioxide, Ammonia, and Hydrogen Sulphide Content in Agricultural Waste during Biogas Production

Investigating Methane, Carbon Dioxide, Ammonia, and Hydrogen Sulphide Content in Agricultural Waste during Biogas Production

Assessment of biogas production using chrome-tanned leather waste and its kinetic evaluation: Influence of different pre-treatment methods and co-digestion with food waste

Review of anaerobic digestion models for organic solid waste treatment with a focus on the fates of C, N, and P

Contact Info

Product

Resources

About