Effect of W incorporation on the product distribution in steam reforming of bio-oil derived acetic acid over Ni based Zr-SBA-15 catalyst

This work focuses on the study of hydrogen production process departing from waste lignocellulosic biomass. The bio-oil was first obtained by non-catalytic fast pyrolysis of sunflower seed hulls. Subsequently, it was upgraded to reduce the concentration of higher molecular weight compounds by water addition and mixing. A 1/1 bio-oil:water ratio was selected here. Later, a thermodynamic analysis based on free energy minimization was profited to study the steam reforming process of the upgraded bio-oil sample. The influence of the operation temperature on the reforming was analyzed. The highest hydrogen yields were obtained at ~740°C. A comparison with acetic acid used as model compound of the bio-oil is included. Results show that acetic acid is not a good approximation of a real aqueous phase of upgraded bio oil fraction. The study concludes with an analysis on the energetic efficiency, showing that its maximum is presented at lower temperatures than the maximum yield, due to the thermal requirements of preheating.

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Nickel catalyst auto-reduction during steam reforming of bio-oil model compound acetic acid

International Journal of Hydrogen Energy ◽

10.1016/j.ijhydene.2013.09.111 ◽

2013 ◽

Vol 38 (35) ◽

pp. 15160-15172 ◽

Cited By ~ 47

Author(s):

Feng Cheng ◽

Valerie Dupont

Keyword(s):

Acetic Acid ◽

Nickel Catalyst ◽

Steam Reforming ◽

Model Compound ◽

Bio Oil

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Sorbent assisted catalyst of Ni-CaO-La 2 O 3 for sorption enhanced steam reforming of bio-oil with acetic acid as the model compound

Chemical Engineering and Processing - Process Intensification ◽

10.1016/j.cep.2017.05.012 ◽

2017 ◽

Vol 119 ◽

pp. 106-112 ◽

Cited By ~ 15

Author(s):

Xiao-yong Zhao ◽

Ya-ping Xue ◽

Chang-feng Yan ◽

Zhi-da Wang ◽

Chang-qing Guo ◽

...

Keyword(s):

Acetic Acid ◽

Steam Reforming ◽

Model Compound ◽

Bio Oil

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Hydrogen Production via Sorption Enhanced Steam Reforming of Acetic Acid: A Thermodynamic Study

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.724-725.769 ◽

2013 ◽

Vol 724-725 ◽

pp. 769-772 ◽

Cited By ~ 1

Author(s):

Peng Fu ◽

Wei Ming Yi ◽

Zhi He Li ◽

Xue Yuan Bai

Keyword(s):

Acetic Acid ◽

Hydrogen Production ◽

Steam Reforming ◽

Model Compound ◽

Molar Ratio ◽

Basic Requirement ◽

Reaction Thermodynamics ◽

Bio Oil ◽

Favorable Temperature ◽

Thermodynamics Of Sorption

The reaction thermodynamics of sorption enhanced steam reforming (SESR) of acetic acid as a model compound of bio-oil for hydrogen production were investigated and contrasted with acetic acid steam reforming (SR). The most favorable temperature for SR is approximately 650 °C. However, the optimum temperature for SESR is around 550 °C, which is about 100 °C lower than that for SR. The highest hydrogen concentration from SR is only 67%, which is below the basic requirement of hydrogen purity for fuel cells. In SESR, hydrogen purities are over 99% in 500-550 °C with a calcium oxide to acetic acid molar ratio (CAMR) of 4 and a water to acetic acid molar ratio (WAMR) greater than 6. The results show that hydrogen production from sorption enhanced steam reforming of acetic acid should be a promising direction.

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Hydrogen Generation from Catalytic Steam Reforming Bio-Oil Model Compound—Acetic Acid Employing Ni/attapulgite Catalysts Prepared with Different Preparation Methods

10.20944/preprints201609.0110.v1 ◽

2016 ◽

Author(s):

Yishuang Wang ◽

Mingqiang Chen ◽

Tian Liang ◽

Jie Yang ◽

Zhonglian Yang ◽

...

Keyword(s):

Acetic Acid ◽

Steam Reforming ◽

Catalyst Deactivation ◽

Hydrogen Generation ◽

Fixed Bed ◽

Fixed Bed Reactor ◽

Precipitation Method ◽

Impregnation Method ◽

Bio Oil ◽

Catalytic Steam Reforming

In this research, catalytic steam reforming acetic acid derived from the aqueous portion of bio-oil for hydrogen production was investigated by using different Ni/ATC (Attapulgite Clay) catalysts prepared by precipitation, impregnation and mechanical blending methods. The fresh and reduced catalysts were characterized by XRD, N2 adsorption-desorption, TEM and H2-TPR. The comprehensive results demonstrated that the interaction between active metallic Ni and ATC carrier was significantly improved in Ni/ATC catalyst prepared by precipitation method, and in which the mean Ni particle size was the smallest (~13 nm) resulted in the highest metal dispersion (7.5%). The catalytic performance of the three catalysts was evaluated through the process of steam reforming of acetic acid in a fixed-bed reactor under atmospheric pressure at two different temperatures, such as 550 ℃ and 650 ℃. Results showed that the Ni/ATC (PM-N/ATC) prepared by precipitation method, achieved the highest H2 yield of ~82% and little lower acetic acid conversion efficiency of ~85% than that (~95%) of Ni/ATC (IM-NATC) prepared by impregnation method. In addition, the deactivation catalysts after reaction for 4 h were analyzed by XRD, TGA-DTG and TEM, which demonstrated that the catalyst deactivation was not caused by the amount of carbon deposition, but owed to the significant agglomeration and sintering of Ni particles in the carrier.

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Steam Reforming of Acetic Acid: Response Surface Modelling and Study of Factor Interactions

Chemical Product and Process Modeling ◽

10.1515/cppm-2019-0066 ◽

2019 ◽

Vol 14 (4) ◽

Cited By ~ 5

Author(s):

Adewale George Adeniyi ◽

Joshua O. Ighalo ◽

Kevin Shegun Otoikhian

Keyword(s):

Acetic Acid ◽

Response Surface ◽

Steam Reforming ◽

Chemical Species ◽

Major Constituent ◽

Bio Oil ◽

Response Surface Modelling ◽

Great Relevance ◽

Process Factors ◽

Factor Interactions

Abstract Steam reforming of biomass bio-oil is a technique of producing bio-hydrogen which is an important biofuel. Acetic acid is a major constituent of biomass bio-oil especially its aqueous phase. In this study, the thermodynamic analysis of the steam reforming of acetic acid was considered in conjunction with the utilising of a novel statistical approach. Response surface methodology was used to elucidate possible interactions of the process factors and be used to develop regression models for the prediction of percentage molar yield of each species given a known set of inputs. The correlations were validated for the prediction of % molar composition of the product chemical species in the product stream. These correlations are of great relevance as it affords quick predictions given a known set of factors.

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