The potential of pervaporation for biofuel recovery from fermentation: An energy consumption point of view

Zheng, Pei-Yao; Li, Chong; Wang, Naixin; Li, Jie; An, Quan‐Fu

doi:10.1016/j.cjche.2018.09.025

Cited by 38 publications

(18 citation statements)

References 151 publications

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“…Whilst the potential for biobased production of key compounds has been demonstrated, in order for bio-based manufacturing to become a reality, the whole ecosystem of production needs to be considered with substantial reductions in the costs of production to become commercially viable ( Figure 2 ). Important considerations include both upstream and downstream processes including the development of new more environmental friendly solvent/extractant systems with reduced energy consumption and loss ( 61 , 62 ); greener product recovery ( 63 ) and separation processes ( 64 ); choice and cost of feedstocks and substrates; and the potential to utilize low/zero-cost waste streams (e.g. lignocellulose and glycerol waste from biodiesel production), or CO 2 ( 65–67 ).…”

Section: The Future Of Biomanufacturing Is Smartmentioning

confidence: 99%

In silico design and automated learning to boost next-generation smart biomanufacturing

et al. 2020

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The increasing demand for bio-based compounds produced from waste or sustainable sources is driving biofoundries to deliver a new generation of prototyping biomanufacturing platforms. Integration and automation of the design, build, test and learn (DBTL) steps in centers like SYNBIOCHEM in Manchester and across the globe (Global Biofoundries Alliance) are helping to reduce the delivery time from initial strain screening and prototyping towards industrial production. Notably, a portfolio of producer strains for a suite of material monomers were recently developed, some approaching industrial titers, in a tour de force by the Manchester Centre that was achieved in less than 90 days. New in silico design tools are providing significant contributions to the front end of the DBTL pipelines. At the same time, the far-reaching initiatives of modern biofoundries are generating a large amount of high-dimensional data and knowledge that can be integrated through automated learning to expedite the DBTL cycle. In this Perspective, the new design tools and the role of the learn component as an enabling technology for the next generation of automated biofoundries are discussed. Future biofoundries will operate under completely automated DBTL cycles driven by in silico optimal experimental planning, full biomanufacturing devices connectivity, virtualization platforms and cloud-based design. The automated generation of robotic build worklists and the integration of machine learning algorithms will collectively allow high levels of adaptability and rapid design changes toward fully automated smart biomanufacturing.

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Section: The Future Of Biomanufacturing Is Smartmentioning

confidence: 99%

In silico design and automated learning to boost next-generation smart biomanufacturing

et al. 2020

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“…Pervaporation can be coupled to fermentation creating a hybrid pervaporation-fermentation process, which is used to recovery the bioproduct, such as acetone-butanol-ethanol (ABE) [ 24 ], butanol [ 25 ], and ethanol [ 26 ], in order to eliminate inhibition products, further improvement on product productivity and enhancement of the substrate conversion rate [ 27 ]. In the alcohol industry, pervaporation is gaining space in hybrid systems, such as distillation–pervaporation and fermentation–pervaporation, in which the pervaporation membrane can be located inside the main unit or in an external pervaporation module [ 28 , 29 , 30 , 31 ]. Therefore, the development of pervaporation models are essentials in the study of these systems.…”

Section: Introductionmentioning

confidence: 99%

Separation and Semi-Empiric Modeling of Ethanol–Water Solutions by Pervaporation Using PDMS Membrane

et al. 2020

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High energy demand, competitive fuel prices and the need for environmentally friendly processes have led to the constant development of the alcohol industry. Pervaporation is seen as a separation process, with low energy consumption, which has a high potential for application in the fermentation and dehydration of ethanol. This work presents the experimental ethanol recovery by pervaporation and the semi-empirical model of partial fluxes. Total permeate fluxes between 15.6–68.6 mol m−2 h−1 (289–1565 g m−2 h−1), separation factor between 3.4–6.4 and ethanol molar fraction between 16–171 mM (4–35 wt%) were obtained using ethanol feed concentrations between 4–37 mM (1–9 wt%), temperature between 34–50 ∘C and commercial polydimethylsiloxane (PDMS) membrane. From the experimental data a semi-empirical model describing the behavior of partial-permeate fluxes was developed considering the effect of both the temperature and the composition of the feed, and the behavior of the apparent activation energy. Therefore, the model obtained shows a modified Arrhenius-type behavior that calculates with high precision the partial-permeate fluxes. Furthermore, the versatility of the model was demonstrated in process such as ethanol recovery and both ethanol and butanol dehydration.

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“…Pervaporation (PV) is a hybrid distillation process whereby separation performance is a function of the relative solubilities (in the membrane) of the constituents in the feed as well as their relative boiling points. In practice, PV is primarily used for separation of azeotropic liquid mixtures like alcohols and water [1], polar aprotic solvents and water [2], as well as other applications such as bioethanol dehydration [3], production of non-alcoholic wine and beer [4], and catalytically active membranes for reactive-separations [5,6]. While PV has found limited practical application in water desalination to date, pervaporative desalination (PVD) has been studied for over 25 years [7,8].…”

Section: Introductionmentioning

confidence: 99%

Produced Water Desalination via Pervaporative Distillation

Wang

Tanuwidjaja

Bhattacharjee³

et al. 2020

Water

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Herein, we report on the performance of a hybrid organic-ceramic hydrophilic pervaporation membrane applied in a vacuum membrane distillation operating mode to desalinate laboratory prepared saline waters and a hypersaline water modeled after a real oil and gas produced water. The rational for performing “pervaporative distillation” is that highly contaminated waters like produced water, reverse osmosis concentrates and industrial have high potential to foul and scale membranes, and for traditional porous membrane distillation membranes they can suffer pore-wetting and complete salt passage. In most of these processes, the hard to treat feed water is commonly softened and filtered prior to a desalination process. This study evaluates pervaporative distillation performance treating: (1) NaCl solutions from 10 to 240 g/L at crossflow Reynolds numbers from 300 to 4800 and feed-temperatures from 60 to 85 °C and (2) a real produced water composition chemically softened to reduce its high-scale forming mineral content. The pervaporative distillation process proved highly-effective at desalting all feed streams, consistently delivering <10 mg/L of dissolved solids in product water under all operating condition tested with reasonably high permeate fluxes (up to 23 LMH) at optimized operating conditions.

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The potential of pervaporation for biofuel recovery from fermentation: An energy consumption point of view

Cited by 38 publications

References 151 publications

In silico design and automated learning to boost next-generation smart biomanufacturing

In silico design and automated learning to boost next-generation smart biomanufacturing

Separation and Semi-Empiric Modeling of Ethanol–Water Solutions by Pervaporation Using PDMS Membrane

Produced Water Desalination via Pervaporative Distillation

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