Control of Product Distribution of Fischer–Tropsch Synthesis with a Novel Rotating Packed-Bed Reactor: From Diesel to Light Olefin

2012 ◽  
Vol 51 (25) ◽  
pp. 8700-8703 ◽  
Author(s):  
Jian-Feng Chen ◽  
Yi Liu ◽  
Yi Zhang
Keyword(s):  
Packed Bed ◽  
Product Distribution ◽  
Tropsch Synthesis ◽  
Packed Bed Reactor ◽  
Fischer Tropsch ◽  
Light Olefin ◽  
Fischer Tropsch Synthesis ◽  
Rotating Packed Bed

Experimental and numerical comparison of structured packings with a randomly packed bed reactor for Fischer–Tropsch synthesis

2009 ◽  
Vol 147 ◽  
pp. S2-S9 ◽  
Author(s):  
Kalyani Pangarkar ◽  
Tilman J. Schildhauer ◽  
J. Ruud van Ommen ◽  
John Nijenhuis ◽  
Jacob A. Moulijn ◽  
...  
Keyword(s):  
Packed Bed ◽  
Tropsch Synthesis ◽  
Packed Bed Reactor ◽  
Numerical Comparison ◽  
Fischer Tropsch ◽  
Fischer Tropsch Synthesis ◽  
Structured Packings

scholarly journals Fischer–Tropsch Synthesis for Light Olefins from Syngas: A Review of Catalyst Development

Reactions ◽  
2021 ◽  
Vol 2 (3) ◽  
pp. 227-257
Author(s):  
Arash Yahyazadeh ◽  
Ajay K. Dalai ◽  
Wenping Ma ◽  
Lifeng Zhang
Keyword(s):  
Pore Size ◽  
Crystal Size ◽  
Tropsch Synthesis ◽  
Light Olefins ◽  
Face Centered Cubic ◽  
Fischer Tropsch ◽  
Light Olefin ◽  
Structure Transition ◽  
Fischer Tropsch Synthesis ◽  
Olefin Selectivity

Light olefins as one the most important building blocks in chemical industry can be produced via Fischer–Tropsch synthesis (FTS) from syngas. FT synthesis conducted at high temperature would lead to light paraffins, carbon dioxide, methane, and C5+ longer chain hydrocarbons. The present work focuses on providing a critical review on the light olefin production using Fischer–Tropsch synthesis. The effects of metals, promoters and supports as the most influential parameters on the catalytic performance of catalysts are discussed meticulously. Fe and Co as the main active metals in FT catalysts are investigated in terms of pore size, crystal size, and crystal phase for obtaining desirable light olefin selectivity. Larger pore size of Fe-based catalysts is suggested to increase olefin selectivity via suppressing 1-olefin readsorption and secondary reactions. Iron carbide as the most probable phase of Fe-based catalysts is proposed for light olefin generation via FTS. Smaller crystal size of Co active metal leads to higher olefin selectivity. Hexagonal close-packed (HCP) structure of Co has higher FTS activity than face-centered cubic (FCC) structure. Transition from Co to Co3C is mainly proposed for formation of light olefins over Co-based catalysts. Moreover, various catalysts’ deactivation routes are reviewed. Additionally, techno-economic assessment of FTS plants in terms of different costs including capital expenditure and minimum fuel selling price are presented based on the most recent literature. Finally, the potential for global environmental impacts associated with FTS plants including atmospheric and toxicological impacts is considered via lifecycle assessment (LCA).

Effect of CO Conversion on the Product Distribution of a Co/Al2O3 Fischer–Tropsch Synthesis Catalyst Using a Fixed Bed Reactor

2012 ◽  
Vol 142 (11) ◽  
pp. 1382-1387 ◽  
Author(s):  
Dragomir B. Bukur ◽  
Zhendong Pan ◽  
Wenping Ma ◽  
Gary Jacobs ◽  
Burtron H. Davis
Keyword(s):  
Fixed Bed ◽  
Product Distribution ◽  
Tropsch Synthesis ◽  
Fixed Bed Reactor ◽  
Fischer Tropsch ◽  
Fischer Tropsch Synthesis ◽  
Co Conversion

Modeling the Fischer–Tropsch Product Distribution and Model Implementation

2015 ◽  
Vol 10 (3) ◽  
pp. 147-159 ◽  
Author(s):  
Magne Hillestad
Keyword(s):  
Finite Number ◽  
Product Distribution ◽  
Tropsch Synthesis ◽  
Considerable Reduction ◽  
Fischer Tropsch ◽  
Fischer Tropsch Synthesis ◽  
Component Distribution ◽  
Reduction Of Dimensionality

Abstract The main purpose of this paper is to provide a framework to model a consistent product distribution from the Fischer–Tropsch synthesis. We assume the products follow the Anderson–Schulz–Flory distribution and that there is no chain limitation. Deviation from the ASF distribution is taken into account. In order to implement such a model it is necessary to aggregate reactions into a finite number of reactions and to group components into lumps of components. Here, the component distribution within each lump is described by three parameters, and it is shown how these parameters are modeled. The method gives a considerable reduction of dimensionality and it is demonstrated that the component distribution within the lumps can be reconstructed with accuracy.

scholarly journals Dynamically Operated Fischer–Tropsch Synthesis in PtL—Part 2: Coping with Real PV Profiles

2020 ◽  
Vol 4 (2) ◽  
pp. 27 ◽  
Author(s):  
Marcel Loewert ◽  
Michael Riedinger ◽  
Peter Pfeifer
Keyword(s):  
Flow Rate ◽  
Real Data ◽  
Product Distribution ◽  
Pilot Scale ◽  
Primary Energy ◽  
Tropsch Synthesis ◽  
Photovoltaic System ◽  
Fischer Tropsch ◽  
Fischer Tropsch Synthesis ◽  
Relationship Model

Climate change calls for a paradigm shift in the primary energy generation that comes with new challenges to store and transport energy. A decentralization of energy conversion can only be implemented with novel methods in process engineering. In the second part of our work, we took a deeper look into the load flexibility of microstructured Fischer–Tropsch synthesis reactors to elucidate possible limits of dynamic operation. Real data from a 10 kW photovoltaic system is used to calculate a dynamic H2 feed flow, assuming that electrolysis is capable to react on power changes accordingly. The required CO flow for synthesis could either originate from a constantly operated biomass gasification or from a direct air capture that produces CO2; the latter is assumed to be dynamically converted into synthesis gas with additional hydrogen. Thus two cases exist, the input is constantly changing in syngas ratio or flow rate. These input data were used to perform challenging experiments with the pilot scale setup. Both cases were compared. While it appeared that a fluctuating flow rate is tolerable for constant product composition, a coupled temperature-conversion relationship model was developed. It allows keeping the conversion and product distribution constant despite highly dynamic feed flow conditions.

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