A new product distribution formulation for fischer-Tropsch synthesis. Effect of metal crystallite size distribution

1992 ◽  
Vol 16 (3) ◽  
pp. 351-357 ◽  
Author(s):  
Yannan Yang ◽  
Shaoyi Pen ◽  
Bing Zhong
Keyword(s):  
Crystallite Size ◽  
Size Distribution ◽  
New Product ◽  
Product Distribution ◽  
Tropsch Synthesis ◽  
Fischer Tropsch ◽  
Fischer Tropsch Synthesis

A study of Fischer-Tropsch synthesis: Product distribution of the light hydrocarbons

2016 ◽  
Vol 517 ◽  
pp. 217-226 ◽  
Author(s):  
Adolph Anga Muleja ◽  
Yali Yao ◽  
David Glasser ◽  
Diane Hildebrandt
Keyword(s):  
Product Distribution ◽  
Tropsch Synthesis ◽  
Synthesis Product ◽  
Light Hydrocarbons ◽  
Fischer Tropsch ◽  
Fischer Tropsch Synthesis

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

Lu Plot and Yao Plot: Models To Analyze Product Distribution of Long-Term Gas-Phase Fischer–Tropsch Synthesis Experimental Data on an Iron Catalyst

2017 ◽  
Vol 31 (5) ◽  
pp. 5682-5690 ◽  
Author(s):  
Joshua Gorimbo ◽  
Adolph Muleja ◽  
Xiaojun Lu ◽  
Yali Yao ◽  
Xinying Liu ◽  
...  
Keyword(s):  
Experimental Data ◽  
Gas Phase ◽  
Iron Catalyst ◽  
Product Distribution ◽  
Tropsch Synthesis ◽  
Fischer Tropsch ◽  
Fischer Tropsch Synthesis

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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