High solid temperature phased anaerobic digestion from agricultural wastes: Putting several reactors in sequence

Dooms, M.; Benbelkacem, Hassen; Buffière, Pierre

doi:10.1016/j.bej.2017.11.011

Cited by 14 publications

(2 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Clearly, a hybrid energy process plant in the first two categories will also have options to exercise with regards to combined cycle electrical power generation using heat recovery cycles whereas the plants engaged primarily in fuel production will increasingly want to exercise options to produce hybrid fuel mixes by dilution of high carbon content of fossil fuels with bioextracted organics, synthetic organic byproducts and hydrogen (see for example Holm-Nielsen and Ehimen, 2014;Staffell et al, 2019). Furthermore, processes involving anaerobic digestion of agricultural waste (see Dooms et al, 2018) are also in compliance with the requirements to eliminate waste through regeneration and re-use; refer to Figure 1 for green process applications. Hence, with both strategies of hybrid energy process applications, the aim is to provide reduced greenhouse gas emissions such as CO 2 and NO x whilst also reducing atmospheric pollutants such as VOCs and particulate emissions.…”

Section: Discussion Of Potential Hybrid Energy Process Plant Applicatmentioning

confidence: 99%

Artificial Intelligence Assisted Dynamic Control of Environmental Emissions From Hybrid Energy Process Plants (HEPP)

Tüzün

2020

Front. Energy Res.

View full text Add to dashboard Cite

A model digital data processing platform is proposed based on "deep-learning" methodology that can be used to identify the emissions patterns from process plants with hybrid energy recovery and energy generation facilities. The non-invasive dynamic monitoring and correlation of particulate, VOCs and other greenhouse gas emissions from semi-batch and continuous process plants is demonstrated with use of neural encoding and pattern recognition using a multi-layer perceptron and multi-stack encoder configuration. A multi-layer environmental perceptron (MLEP) is developed based on the above analyses that aims to detect patterns of emission types, rates and concentrations as a function of variation of plant operational conditions and process variables. Four different task algorithms are constructed and are currently trained for use in (i) In-Plant Product Quality Control Domain and (ii) In-Plant Process Efficiency Target Control Domain. As a further consequence, environmental impact assessment is considered within the hazards and process safety frameworks that conventionally issue sanctions and penalize non-compliance with imposition of environmental levy scales rather than offering process improvement incentives. The latter is demonstrated to be possible by facilitating dynamic corrective action and hazard prevention using MLEP platforms should emission ceilings be frequently and/or periodically exceeded in 24/7 continuous plant operations. Potential applications of the MLEP (MLEP) are illustrated in the context of dynamic emissions control and abatement in hybrid energy process plants (HEPP) and combined power plants using process-integrated CO 2 capture and storage schemes.

show abstract

Section: Discussion Of Potential Hybrid Energy Process Plant Applicatmentioning

confidence: 99%

Artificial Intelligence Assisted Dynamic Control of Environmental Emissions From Hybrid Energy Process Plants (HEPP)

Tüzün

2020

Front. Energy Res.

View full text Add to dashboard Cite

show abstract

“…In contrast to heat treatment typically performed at 120-140 • C, the application of the temperature below the boiling point of water avoids pressurizing and generating undegradable compounds [8,9]. Hyperthermophilic pretreatment has been successfully applied for increasing methane yield in the subsequent mesophilic or thermophilic digestion of municipal sewage sludge [10][11][12], the mixture of sewage sludge with kitchen waste [13,14], fat, oil and grease [15], agriculture waste [16], and the mixture of sewage sludge with ground grass [17]. Literature data also suggest that greater hydrogen yields from biomass could be achieved by dark fermentation operated under hyperthermophilic or thermophilic conditions, compared to mesophilic process [18,19].…”

Section: Introductionmentioning

confidence: 99%

Hyperthermophilic Treatment of Grass and Leaves to Produce Hydrogen, Methane and VFA-Rich Digestate: Preliminary Results

Liczbiński

Borowski

2020

Energies

View full text Add to dashboard Cite

In this study, the feasibility of hydrogen and methane production from grass and leaves via hyperthermophilic anaerobic digestion was investigated. The hyperthermophilic treatment of grass at 70 °C resulted in the highest concentrations of volatile fatty acids (TVFA) and reducing sugars in the supernatant of over 21 and 6.5 g/L reported on day 3 and 4 of the experiment. In contrast, hydrolysis and acidification of leaves performed slower and with lower efficiency, as the peak concentrations of TVFA and reducing sugars were observed at the end of the process. However, the highest cumulative hydrogen and methane yields of 69.64 mLH2/gVS and 38.63 mLCH4/gVS were reported for leaves digested at 70 °C, whereas the corresponding maximum productions observed for grass were 50 mLH2/gVS and 1.98 mLCH4/gVS, respectively. A temperature increase to 80 °C hampered hydrogen and methane production and also resulted in lower yields of volatile fatty acids, reducing sugars and ammonia as compared to the corresponding values reported for 70 °C.

show abstract

Accelerating anaerobic hydrolysis acidification of dairy wastewater in integrated floating-film and activated sludge (IFFAS) by using zero-valent iron (ZVI) composite carriers

Shi

Liu

Chen

et al. 2022

Biochemical Engineering Journal

View full text Add to dashboard Cite

High solid temperature phased anaerobic digestion from agricultural wastes: Putting several reactors in sequence

Cited by 14 publications

References 29 publications

Artificial Intelligence Assisted Dynamic Control of Environmental Emissions From Hybrid Energy Process Plants (HEPP)

Artificial Intelligence Assisted Dynamic Control of Environmental Emissions From Hybrid Energy Process Plants (HEPP)

Hyperthermophilic Treatment of Grass and Leaves to Produce Hydrogen, Methane and VFA-Rich Digestate: Preliminary Results

Accelerating anaerobic hydrolysis acidification of dairy wastewater in integrated floating-film and activated sludge (IFFAS) by using zero-valent iron (ZVI) composite carriers

Contact Info

Product

Resources

About