Journal
BIOMASS & BIOENERGY
Volume 109, Issue -, Pages 31-38Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.biombioe.2017.11.006
Keywords
Seaweed; Algae composition; Biofuels; Anaerobic digestion
Funding
- VRI
- EU Framework 7 project ATBEST [316838]
Ask authors/readers for more resources
To investigate the effect of seasonal variation on macroalgae biomass characteristics and its related energy content, four different algae species, two from the Fucales order (Fucus vesiculosus and Ascophyllum nodosum), and two from the Laminariales order (Saccharina latissima and Alaria esculenta), were harvested during spring, summer, autumn and winter over one year. The biomethane potential and the elemental composition were determined for all samples. Both Fucales species showed low biodegradability (< 30%) with methane yields consistently below 20 Nm(3) per wet tonne. Laminariales species, however, allowed up to 80% biodegradation efficiency, with methane yields varying between 20 and 70 Nm(3) per wet tonne depending on the harvesting season. For each of the four algae the biomass concentrations of potassium, phosphorus, calcium, magnesium, sodium, sulphur, aluminium and iron was higher during spring/summer compared to autumn/winter. For heavy metals, variation was seen mainly for arsenic with higher values during autumn/winter. The highest values were observed for Laminariales (30-120 mg/kg total solids). Modelling the co-digestion of each algae with municipal wastewater sludge showed Laminariales species having the greatest potential as a profitable substrate for additional biomethane production generating up to 0.38 million Euro. However, seasonal variation could affect this expected income over 60% due to fluctuation in biomethane yields and biodegradability efficiency. Furthermore, the additional loading of cadmium and arsenic into the AD process suggested possible limitation for digestate utilisation in arable lands.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
Article
Agricultural Engineering
Gasification kinetics of chars from diverse residues under suitable conditions for the Sorption Enhanced Gasification process
G. Grasa, I. Martinez, R. Murillo
Summary: Gasification kinetics of six chars from residual origin were studied under relatively low temperature, low CO2, and high H2O partial pressures. The Random Pore Model (RPM) showed the best fit to experimental results, but the selection of the reaction model depended on the ash composition, specifically the presence of alkali and alkaline earth metals. Chars with ash content higher than 30% wt. were modeled with the RPM model, while chars with the highest K/Si ratio required modified versions of the RPM to accurately predict reaction rates. Textural properties played a key role in determining reaction parameters, such as the pre-exponential factor and activation energy, for chars with similar ash content and composition.
BIOMASS & BIOENERGY (2024)
Review
Agricultural Engineering
A review on emerging technologies and machine learning approaches for sustainable production of biofuel from biomass waste
V. Godvin Sharmila, Surya Prakash Shanmugavel, J. Rajesh Banu
Summary: Proper treatment and disposal of biomass waste is crucial to prevent environmental deposition and its negative impacts. Biofuel has emerged as a potential alternative to fossil fuels, reducing carbon emissions and meeting global energy demands. This review examines different biomass waste conversion techniques and explores the production of biofuels with zero carbon emissions. Research on anaerobic treatment, metabolic engineering, and artificial intelligence has been conducted to enhance biofuel production efficiency.
BIOMASS & BIOENERGY (2024)
Review
Agricultural Engineering
Influencing factors and environmental feasibility analysis of agricultural waste preprocessing routes towards biofuel production - A review
Selvakumar Periyasamy, Adane Asefa Adego, P. Senthil Kumar, G. G. Desta, T. Zelalem, V. Karthik, J. Beula Isabel, Mani Jayakumar, Venkatesa Prabhu Sundramurthy, Gayathri Rangasamy
Summary: Valorizing agricultural waste into valuable products is crucial for environmental protection and bioeconomy advancement. Preprocessing of agricultural waste is a critical step to convert free carbohydrate molecules for final conversion, and factors such as biomass nature, feed loading, pH, temperature, and time influence the process. This review provides comprehensive information on agricultural waste availability, preprocessing techniques, and factors influencing performance.
BIOMASS & BIOENERGY (2024)
Article
Agricultural Engineering
A comprehensive machine learning-coupled response surface methodology approach for predictive modeling and optimization of biogas potential in anaerobic Co-digestion of organic waste
Aqueel Ahmad, Ashok Kumar Yadav, Achhaibar Singh, Dinesh Kumar Singh
Summary: The study focuses on predicting and optimizing the yield of biogas production in an anaerobic digester using co-digestion. Experimental data was used to develop a machine learning-based prognostic model, and the Response Surface Methodology (RSM) was employed to optimize the parameters. The results demonstrate that RSM coupled with machine learning is an effective technique for modeling, predicting, and optimizing biogas production yield.
BIOMASS & BIOENERGY (2024)
Article
Agricultural Engineering
Unraveling the thermal decomposition and conversion mechanisms of silica aerogel-infused cork cells
Yijing Zhong, Wenxiang Zhai, Xinli Wei
Summary: This paper studies the thermal stability and decomposition of cork materials with and without silica aerogel filler. The results show that the decomposition is inhibited and the pyrolysis is significantly reduced with the addition of silica aerogel. This finding suggests that silica aerogel-infused cork may be a promising raw material for biofuel production with reduced environmental pollution.
BIOMASS & BIOENERGY (2024)
Share Paper
