Comparison Between Dry and Wet Fermentation of Biomasses as Result of the Monitoring of Full Scale Plants

Chiumenti, Alessandro; Chiumenti, R.; Borso, Francesco da; Limina, Sonia

doi:10.13031/2013.41921

Cited by 2 publications

(3 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The concentration of methane in biogas resulted in the ranges 63.3-70.5% and 65.0-70.8% for D1 and D2, respectively (Figure 4), results comparable to those from the AD of swine manure [2] and higher than methane concentrations in biogas from bovine manure [3,10]. The literature on the AD of aquaculture effluents reports variable results in terms of methane concentration in biogas: Lanari and Franci [5], for example, reported 80% of CH 4 from the AD of trout effluents, while other authors presented values between 48.9 and 57.6% CH 4 in biogas from Atlantic salmon effluents [4].…”

Section: Biogas Qualitysupporting

confidence: 54%

Section: Biogas Qualitysupporting

confidence: 51%

See 1 more Smart Citation

Performances of Conventional and Hybrid Fixed Bed Anaerobic Reactors for the Treatment of Aquaculture Sludge

et al. 2020

View full text Add to dashboard Cite

Aquaculture fish production is experiencing an increasing trend worldwide and determines environmental concerns mainly related to the emission of pollutants. The present work is focused on the improvement of the sustainability of this sector by assessing the anaerobic digestion (AD) of slurry. Wastewater from experimental plants for the production of trout (Udine, Italy) was subject to screening by a drum filter, and then to thickening in a settling tank. The thickened sludge, representing the input of AD, was characterized by total and volatile solids contents of 3969.1–9705.3 and 2916.4–7154.9 mg/L, respectively. The AD was performed in a containerized unit with two digesters (D1 and D2), biogas meters and monitoring of the temperature, pH and redox potential. Both reactors are mixed by a recirculation of the digestate, and reactor D2 is equipped with a fixed bed. The tests were performed at 38 °C with diversified loading rates and hydraulic retention times (HRT). HRT varied from 28.9 to 20.3 days for D1 and from 18.3 to 9.3 days for D2. Methane yields resulted as highest for the hybrid digester with the longest HRT (779.8 NL of CH4/kg VS, 18.3 days). The conventional digester presented its best performance, 648.8 NL of CH4/kgVS, with an HRT of 20.3 days.

show abstract

Section: Biogas Qualitysupporting

confidence: 54%

Section: Biogas Qualitysupporting

confidence: 51%

Performances of Conventional and Hybrid Fixed Bed Anaerobic Reactors for the Treatment of Aquaculture Sludge

et al. 2020

View full text Add to dashboard Cite

show abstract

“…VS is one of the most important parameters of the substrate, which is used for defining the specific biogas production capacity [21]. Similar biogas yields can be obtained from dry and wet digestion processes with suitable amount of substrate feeding [55].…”

Section: Operational Parameters Of the Biogas Plantmentioning

confidence: 99%

Integration of Artificial Intelligence into Biogas Plant Operation

Cinar

Wieczorek

et al. 2021

Processes

View full text Add to dashboard Cite

In the biogas plants, organic material is converted to biogas under anaerobic conditions through physical and biochemical processes. From supply of the raw material to the arrival of the products to customers, there are serial processes which should be sufficiently monitored for optimizing the efficiency of the whole process. In particular, the anaerobic digestion process, which consists of sequential complex biological reactions, requires improved monitoring to prevent inhibition. Conventional implemented methods at the biogas plants are not adequate for monitoring the operational parameters and finding the correlation between them. As Artificial Intelligence has been integrated in different areas of life, the integration of it into the biogas production process will be inevitable for the future of the biogas plant operation. This review paper first examines the need for monitoring at the biogas plants with giving details about the process and process monitoring as well. In the following sections, the current situation of implementations of Artificial Intelligence in the biogas plant operation and in the similar industries will be represented. Moreover, considering that all the information gathered from literature and operational needs, an implementation model will be presented.

show abstract

Comparison Between Dry and Wet Fermentation of Biomasses as Result of the Monitoring of Full Scale Plants

Cited by 2 publications

References 0 publications

Performances of Conventional and Hybrid Fixed Bed Anaerobic Reactors for the Treatment of Aquaculture Sludge

Performances of Conventional and Hybrid Fixed Bed Anaerobic Reactors for the Treatment of Aquaculture Sludge

Integration of Artificial Intelligence into Biogas Plant Operation

Contact Info

Product

Resources

About