High performance ceramic hollow fiber supported PDMS composite pervaporation membrane for bio-butanol recovery

Dong, Ziye; Liu, Gongping; Liu, Sainan; Liu, Zhengkun; Jin, Wanqin

doi:10.1016/j.memsci.2013.08.039

Cited by 149 publications

(72 citation statements)

References 43 publications

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“…Recently, Brown et al reported a novel and scalable interfacial microfluidic processing approach for fabricating metal organic frameworks (MOFs) hollow fiber membranes [22]. In our previous work, highquality ceramic hollow fiber composite membranes were developed based on various kinds of materials, such as PDMS [23], ZIF-8 [24] and graphene oxide [25].…”

Section: Introductionmentioning

confidence: 99%

Hollow fiber modules with ceramic-supported PDMS composite membranes for pervaporation recovery of bio-butanol

Liu

Meng

et al. 2015

Separation and Purification Technology

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Section: Introductionmentioning

confidence: 99%

Hollow fiber modules with ceramic-supported PDMS composite membranes for pervaporation recovery of bio-butanol

Liu

Meng

et al. 2015

Separation and Purification Technology

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“…The permeating vapor is then recovered by condensation. Polydimethylsiloxane (PDMS) membrane is regarded as a promising candidate for butanol separation, as it exhibits high and stable performance in butanol recovery from ABE solvents via pervaporation [9]. The continuous integrated fermentation-membrane pervaporation process that was optimized in this work is presented schematically in Figure 1.…”

Section: Description Of the Integrated Abe Fermentation-membrane Pervmentioning

confidence: 99%

Artificial Neural Networks as Metamodels for the Multiobjective Optimization of Biobutanol Production

2018

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Process optimization using a physical process or its comprehensive model often requires a significant amount of time. To remedy this problem, metamodels, or surrogate models, can be used. In this investigation, a methodology for optimizing the biobutanol production process via the integrated acetone-butanol-ethanol (ABE) fermentation-membrane pervaporation process is proposed. In this investigation, artificial neural networks (ANNs) were used as metamodels in an attempt to reduce the time needed to circumscribe the Pareto domain and identify the best optimal operating conditions. Two different metamodels were derived from a small set of operating conditions obtained from a uniform experimental design. The first series of metamodels were derived to entirely replace the phenomenological model of the butanol fermentation process by representing the relationship that exists between five operating conditions and four performance criteria. The second series of metamodels were derived to estimate the initial concentrations under steady-state conditions for the eight chemical species within the fermenter in order to expedite convergence of the process simulator. The first series of metamodels led to an accurate Pareto domain and reduced the computation time to circumscribe the Pareto domain by a factor of 2500. The second series of metamodels led to only a small reduction of computation time (a factor of approximately 2) because of the inherently slow convergence of the overall fermentation process.

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“…In chemical and pharmaceutical industries, the separation process using high feed temperature is the main challenge to reduce the cost of the separation [6][7][8][9][10]. Membrane separation by pervaporation (PV) is an energy saving and environment friendly process [11][12][13]. Number of factors in the pervaporation process such as separation factor, degree of swelling and permeation flux is affected by a membrane structure [14][15][16].…”

Section: Introductionmentioning

confidence: 99%

Dehydration Pervaporation of Ethyl Acetate-Water Mixture via Sago/PVA Composite Membranes Using Surface Methodology

Alamaria¹,

Nawawi²

2015

ChChT

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Abstract. In the present study hydrophilic sago/polyvinyl alcohol (PVA) blend membranes were used for pervaporation of ethyl acetate-water mixture. The effects of feed concentration, temperature and permeate pressure on the separation factor and permeation flux were studied by using response surface methodology (RSM). The central composite design (CCD) was used to design the experiment and analyze pervaporation performance of homogenous sago/PVA membranes and also to obtain process optimum conditions. It was observed that the permeation flux and selectivity were changed by feed temperature and concentration more than the permeate pressure. The validity of the model was confirmed by the experiments.

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High performance ceramic hollow fiber supported PDMS composite pervaporation membrane for bio-butanol recovery

Cited by 149 publications

References 43 publications

Hollow fiber modules with ceramic-supported PDMS composite membranes for pervaporation recovery of bio-butanol

Hollow fiber modules with ceramic-supported PDMS composite membranes for pervaporation recovery of bio-butanol

Artificial Neural Networks as Metamodels for the Multiobjective Optimization of Biobutanol Production

Dehydration Pervaporation of Ethyl Acetate-Water Mixture via Sago/PVA Composite Membranes Using Surface Methodology

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