Continuous hydrogen production from cassava starch processing wastewater by two-stage thermophilic dark fermentation and microbial electrolysis

Khongkliang, Peerawat; Kongjan, Prawit; Utarapichat, Bussakorn; Reungsang, Alissara; O‐Thong, Sompong

doi:10.1016/j.ijhydene.2017.06.145

Cited by 96 publications

(20 citation statements)

References 33 publications

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“…Srivastava et al (2017) employed Clostridium pasteurianum and hydrolyzed rice straw to generate hydrogen through DFP, and studied the optimum condition of the production process. Khongkliang, Kongjan, Utarapichat, Reungsang, and Sompong (2017) investigated thermophilic dark fermentation and microbial electrolysis to produce hydrogen in the optimum conditions from cassava starch processing wastewater, while the study of Argun and Onaran (2017) considered hydrogen production from waste paper through the dark fermentation process. The latter study also investigated the effect of P/C, N/C, and Fe/C ratios on the production of hydrogen yield.…”

Section: Hydrogen Production Methodsmentioning

confidence: 99%

Computational intelligence approach for modeling hydrogen production: a review

Ardabili

Najafi

Shamshirband

et al. 2018

Engineering Applications of Computational Fluid Mechanics

137

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Hydrogen is a clean energy source with a relatively low pollution footprint. However, hydrogen does not exist in nature as a separate element but only in compound forms. Hydrogen is produced through a process that dissociates it from its compounds. Several methods are used for hydrogen production, which first of all differ in the energy used in this process. Investigating the viability and exact applicability of a method in a specific context requires accurate knowledge of the parameters involved in the method and the interaction between these parameters. This can be done using top-down models relying on complex mathematically driven equations. However, with the raise of computational intelligence (CI) and machine learning techniques, researchers in hydrology have increasingly been using these methods for this complex task and report promising results. The contribution of this study is to investigate the state of the art CI methods employed in hydrogen production, and to identify the CI method(s) that perform better in the prediction, assessment and optimization tasks related to different types of Hydrogen production methods. The resulting analysis provides in-depth insight into the different hydrogen production methods, modeling technique and the obtained results from various scenarios, integrating them within the framework of a common discussion and evaluation paper. The identified methods were benchmarked by a qualitative analysis of the accuracy of CI in modeling hydrogen production, providing extensive overview of its usage to empower renewable energy utilization.

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Section: Hydrogen Production Methodsmentioning

confidence: 99%

Computational intelligence approach for modeling hydrogen production: a review

Ardabili

Najafi

Shamshirband

et al. 2018

Engineering Applications of Computational Fluid Mechanics

137

View full text Add to dashboard Cite

show abstract

“…Hydrogen production from WH is mostly conducted in batch fermentation, dark fermentation and photo-fermentation. Dark fermentation and photo-fermentation could be coupled since non-fermentable acetate or butyrate would be used for further hydrogen generation ( Chookaew et al, 2014 ; Khongkliang et al, 2017 ). Inoculation is mainly based on a mixture of hydrogen producing microorganism in the presence of nutrients.…”

Section: Advanced Bioprocesses For Water Hyacinth Valorizationmentioning

confidence: 99%

Identifying Advanced Biotechnologies to Generate Biofertilizers and Biofuels From the World’s Worst Aquatic Weed

Ezzariai

Hafidi

Bakrim

et al. 2021

Front. Bioeng. Biotechnol.

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Water hyacinth (Eichhornia crassipes L.) was introduced as an invasive plant in freshwater bodies more particularly in Asia and Africa. This invasive plant grows rapidly and then occupies a huge layer of freshwater bodies. Hence, challenges are facing many countries for implementing suitable approaches for the valorization of the world’s worst aquatic weed, and water hyacinth (WH). A critical and up-to-date review article has been conducted for more than 1 year, based on more than 100 scientific journal articles, case studies, and other scientific reports. Worldwide distribution of WH and the associated social, economic, and environmental impacts were described. In addition, an extensive evaluation of the most widely used and innovative valorization biotechnologies, leading to the production of biofertilizer and bioenergy from WH, and was dressed. Furthermore, an integrated search was used in order to examine the related advantages and drawbacks of each bioprocess, and future perspectives stated. Aerobic and anaerobic processes have their specific basic parameters, ensuring their standard performances. Composting was mostly used even at a large scale, for producing biofertilizers from WH. Nevertheless, this review explored some critical points to better optimize the conditions (presence of pollutants, inoculation, and duration) of composting. WH has a high potential for biofuel production, especially by implementing several pretreatment approaches. This review highlighted the combined pretreatment (physical-chemical-biological) as a promising approach to increase biofuel production. WH valorization must be in large quantities to tackle its fast proliferation and to ensure the generation of bio-based products with significant revenue. So, a road map for future researches and applications based on an advanced statistical study was conducted. Several recommendations were explored in terms of the choice of co-substrates, initial basic parameters, and pretreatment conditions and all crucial conditions for the production of biofuels from WH. These recommendations will be of a great interest to generate biofertilizers and bioenergy from WH, especially within the framework of a circular economy.

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“…is rich in sugars, starch, protein and also contain various inorganic salts [22]. Cassava starch wastewater which is rich in carbohydrates (16.12 g/L) is also a good source of nutrients for microbes [8,33]. This wastewater has been used for H 2 as well as CH 4 production by mesophillic as well as thermophillic bacteria [44,45].…”

Section: Substratementioning

confidence: 99%

“…Biologically, H 2 can be produced through light and dark fermentation utilizing a diverse range of renewable resources. Dark fermentation on account of its moderate reaction conditions and high productivities seems to be a more attractive approach than light fermentation and thus has gained much research interest [8].…”

Section: Introductionmentioning

confidence: 99%

Wastewater: A Potential Bioenergy Resource

et al. 2017

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Wastewaters are a rich source of nutrients for microorganisms. However, if left unattended the biodegradation may lead to severe environmental hazards. The wastewaters can thus be utilized for the production of various value added products including bioenergy (H and CH). A number of studies have reported utilization of various wastewaters for energy production. Depending on the nature of the wastewater, different reactor configurations, wastewater and inoculum pretreatments, co-substrate utilizations along with other process parameters have been studied for efficient product formation. Only a few studies have reported sequential utilization of wastewaters for H and CH production despite its huge potential for complete waste degradation.

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Continuous hydrogen production from cassava starch processing wastewater by two-stage thermophilic dark fermentation and microbial electrolysis

Cited by 96 publications

References 33 publications

Computational intelligence approach for modeling hydrogen production: a review

Computational intelligence approach for modeling hydrogen production: a review

Identifying Advanced Biotechnologies to Generate Biofertilizers and Biofuels From the World’s Worst Aquatic Weed

Wastewater: A Potential Bioenergy Resource

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