Effect of operational parameters on biohydrogen production from dairy wastewater in batch and continuous reactors

Biofuels ◽  
2016 ◽  
Vol 8 (6) ◽  
pp. 693-699 ◽  
Author(s):  
Panga Kirankumar ◽  
S. Vijaya Krishna ◽  
N. Chaitanya ◽  
D. Bhagawan ◽  
V. Himabindu ◽  
...  
2012 ◽  
Vol 29 ◽  
pp. S183
Author(s):  
Magdalena Zielińska ◽  
Agnieszka Cydzik-Kwiatkowska ◽  
Marcin Zieliński ◽  
Marcin Dębowski

2020 ◽  
Vol 28 (S2) ◽  
Author(s):  
Fatin Sakinah Rosman ◽  
Mohd Zulkhairi Mohd Yusoff ◽  
Mohd Rafein Zakaria ◽  
Toshinari Maeda ◽  
Mohd Ali Hassan

Malaysia is one of the largest producers and exporters of palm oil, thus, a large amount of palm oil mill effluent (POME) is generated through this process. POME contributes to environmental pollution if it is not properly treated. This complex effluent consists of colloidal matters and mainly organic components with more than 90% water. Thus, it is useful to be used as a substrate for fermentative processes, including biohydrogen production. Biohydrogen from POME is a renewable source that can potentially serve as an alternative to substitute fossil fuels. The abundance of POME and the rising price of fossil fuels in the global market create a demand for this source of energy. However, the complexity of the substituents in POME makes the optimisation of this effluent as a substrate in dark fermentation a challenge. This review article explores the important parameters that need to be considered for optimal biohydrogen production, such as the bioreactor operational parameters and the microbial consortium. Besides, the potential of metabolic engineering as a tool to overcome the limitations of the microbial strains to metabolise POME for increased biohydrogen production was also reviewed. However, further research and development are needed to increase the biohydrogen yield on par with commercial demand.


2018 ◽  
Vol 7 (2) ◽  
pp. 1 ◽  
Author(s):  
Ryland Cairns ◽  
Paul Mead

With a greater push to achieve waste management and renewable energy targets technologies such as anaerobic digestion (AD) have increased in popularity. One such technology option is the Upflow Anaerobic Sludge Blanket (UASB) reactor, these have been shown to be a particularly robust option for high strength organic wastewaters, such as those generated by the malted ingredient manufacturing industry. Despite their effectiveness they are reported to have lengthy and complex start ups due to the range of physiochemical and biological interactions influencing sludge blanket stability. This process can be sped up by seeding the plant from sludge from similar plants, however this is not always possible. This paper aims to investigate the start up of a full-scale mesophilic UASB treating malted ingredient wastewater that was initially seeded with a granular sludge treating dairy wastewater. Operational performance during the first 75 days of start up was comparable to that of a fully established plant with a COD removal efficiency in excess of 81.89% and a biogas methane concentration greater than 57.24%. During this period the plant remained operationally robust with the Organic Loading Rates (OLR) exuding the greatest influence on plant performance. Similar to operations during stable conditions key operational parameters such as HRT times, temperatures and pH did not exert a strong influence on the plant. 


2021 ◽  
Author(s):  
Ali Mehrizad

Abstract In the present study, the ternary magnesia-magnetite-zeolite composite was prepared via a facile method. The XRD patterns and EDX-elemental mapping analysis confirmed the formation of composite with components of MgO, Fe3O4, and zeolite. The FE-SEM and TEM images, along with BET-BJH results, corroborated the construction of the composite with appropriate morphology and mesoporous structure (SBET: 68.90 m2 g-1). The VSM analysis demonstrated the ferromagnetic property of the prepared composite (Ms: 8 emu g-1). The as-prepared ternary composite was used for the adsorption of dairy effluent by ultrasound-assisted approach. The optimization of the adsorption operational parameters, employing response surface methodology (RSM), led to a swift reduction in COD (83%). The modeling of the process by artificial neural network (ANN) showed that the adsorbent dosage was the most important factor with 38.30% impact on the COD extent. The adsorption of dairy wastewater by composite was consistent with Temkin isotherm model and the kinetics data were well described by both Ho’s pseudo 2nd order and Elovich models. This indicates that the process is attributed to chemical adsorption. The studies associated with thermodynamics revealed that this process was endothermic (ΔH°> 0) and spontaneous (ΔG°< 0). Accordingly, the MgO-Fe3O4-zeolite could be considered as a potential adsorbent in reducing the COD of dairy wastewater.


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