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Laboratory for Chemical Technology, Ghent University
http://www.lct.UGent.be
Pentanol: A Promising Fuel and Petrochemical Building Block
Kevin M. Van Geem a, Cato A.R. Pappijn a, Ruben Van de Vijver a, Judit Zádor b
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AIChE Spring Meeting, San Antonio, TX, USA, 28/03/2017
a Laboratory for Chemical Technology, Ghent University, Ghent, Belgiumb Sandia National Laboratories, Livermore, CA, USA
Introduction
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AIChE Spring Meeting, San Antonio, TX, USA, 28/03/2017
Current energy industry
• Combustion is the main source of energy
• Combustion fuels from fossil resources
• Global energy demand and use keep increasing
Source: BP Energy Outlook Source: EIA, 2016
Introduction
3
AIChE Spring Meeting, San Antonio, TX, USA, 28/03/2017
Current energy industry
• Combustion is the main source of energy
• Combustion fuels from fossil resources
• Global energy demand and use keep increasing
Source: globalclimate.ucr.edu
Source: NASA Earth Observatory
Greenhouse gas emmissions
Small particles formation
Introduction
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AIChE Spring Meeting, San Antonio, TX, USA, 28/03/2017
Current energy industry
• Combustion is the main source of energy
• Combustion fuels from fossil resources
• Global energy demand and use keep increasing
Greenhouse gas emmissions
Soot particles formation
→ Need for alternatives, i.e. bio-derived resources
→ Need for better understanding
→ Underlying combustion/pyrolysis chemistry
→ Engine/reactor technology
Introduction
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AIChE Spring Meeting, San Antonio, TX, USA, 28/03/2017
Why use pentanol?
• Higher energy content
• Higher boiling point
• Less hygroscopic
• Several possible production
processes
This study
• Pyrolysis of pentanol in flow
reactor
• Kinetic model building using
Genesys
• Reactor simulations and model
validation
Experimental set-up
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AIChE Spring Meeting, San Antonio, TX, USA, 28/03/2017
Most important aspects :
• Tubular reactor : L =1.5m , D = 0.006m , Incoloy HT
• Analysis equipment : GCxGC-FID/(TOF-MS)
Light Oxygenates Analyser
Refinery Gas Analyser
• Conditions : T = 913 - 1073K ; P = 0.17 MPa
• Pentanol flow rate
1.3-3.3 10-2 g s-1
• Pentanol inlet mole
fraction
0.2-0.5
Kinetic model generation
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AIChE Spring Meeting, San Antonio, TX, USA, 28/03/2017
Microkinetic model
• Only includes elementary steps
• The number of species and reactions can become very large
• Manual generation nearly impossible
Use of automatic kinetic model generation software
Kinetic model generation: Genesys
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AIChE Spring Meeting, San Antonio, TX, USA, 28/03/2017
Use of chemoinformatics
• Molecular representation
• Graph and group theory
• Not tailored to specific
applications OpenBabelCDK
Kinetic model generation: Termination
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AIChE Spring Meeting, San Antonio, TX, USA, 28/03/2017
Rule-based
No reactor simulations
No dependence on rate coefficients
Constraints can be defined at several
levels (atoms, functinal groups,
reactants, products), i.e. wide
applicability
Too many unimportant reactions in final
model
Need for user expertise
Rate-based
Only include important reactions
More accurate final model
Dependent on kinetics, thus need for
accuracte rate coefficients
Edge can become very large:
computational liminations (memory)
Genesys uses a combination of both
Keeps size of edge managable through constraints
Accurate rate coefficients via group additivity from
CBSQB3 calculations
No inclusion of redundant pathways
Thermodynamic data
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AIChE Spring Meeting, San Antonio, TX, USA, 28/03/2017
Kinetic data
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AIChE Spring Meeting, San Antonio, TX, USA, 28/03/2017
𝜅 = 1 +162
𝑇
3
∙ 𝐸𝑎,𝑒𝑥𝑜 + 2.71 ∙ 10−6 ∙ exp −𝑇 − 300
26∙ 𝐸𝑎,𝑒𝑥𝑜
4
𝑛𝑒 =𝑛𝑜𝑝𝑡,‡
ς𝑟 𝑛𝑜𝑝𝑡,𝑟∙ς𝑟 𝜎𝑟𝜎‡
𝑘(𝑇) = 𝜅𝑛𝑒 ሚ𝐴exp −𝐸𝑎𝑅𝑇
𝑙𝑜𝑔 ሚ𝐴 = 𝑙𝑜𝑔 ሚ𝐴𝑟𝑒𝑓 +
𝑖=1
𝑛
∆𝐺𝐴𝑉𝑙𝑜𝑔 ෨𝐴0 (𝑋𝑖)
𝐸𝑎 = 𝐸𝑎,𝑟𝑒𝑓 +
𝑖=1
𝑛
∆𝐺𝐴𝑉𝐸𝑎0 (𝑋𝑖)
* Si-(H) +0.101 -20.2
* Si-(Cd) -0.273 +26.6
* Si-(CS) -0.788 +22.0
* Si-(Ct) +0.566 +35.1
* Si-(Cb) +0.406 +24.3
* ...
ΔGAV° Library
ΔGAV° Library
* Ci-(H)2(C) -0.300 -19.4
* Ci-(C)2(H) -0.101 -36.3
* Ci-(C)3 +0.473 -51.1
* Ci,d-(H) +0.251 +9.5
* Ci,d-(C) +0.027 -7.9
* ...
SMARTS C2 log(A) Ea
SMARTS S1 log(A) Ea
Reference reaction
CH3S●+CH4 = CH3SH+●CH3 7.970 107.6
log(A) Ea
Pentanol kinetic model generation
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AIChE Spring Meeting, San Antonio, TX, USA, 28/03/2017
Hydrogen abstractions
Βeta-scissions
Alpha-scissions
Base mechanism from literature
Initial homolytic bond scissions from literature
Final Model
• 448 species
• 4752 reactions
R=C,O,H
Additional ab initio calculations
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AIChE Spring Meeting, San Antonio, TX, USA, 28/03/2017
KinBot
Code for automatically exploring a Potential Energy Surface (PES)
Identifies stationary points directly using 3D coordinates of atoms
Reactions are searched for via possible transformations programmed in
the code
• Systematic and exhaustive searches
• On-the-fly coupling with Gaussian
• Off-line coupling with MolPro and Master Equation codes
• Both for uni- and bimolecular reactions
Additional ab initio calculations
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AIChE Spring Meeting, San Antonio, TX, USA, 28/03/2017
C5H11O PES
Automatically explored
using the KinBot software
Geometry optimization
M062X/6-311++G(d,p)
Energy calculation
UCCSD(T)-F12/cc-pVTZ-
F12
1D hindered rotors
Rate coefficients from
master equation
calculations
Reactor modeling
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AIChE Spring Meeting, San Antonio, TX, USA, 28/03/2017
Reactor modeling
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AIChE Spring Meeting, San Antonio, TX, USA, 28/03/2017
Rate of production analysis
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AIChE Spring Meeting, San Antonio, TX, USA, 28/03/2017
Initial chemistry
Radical chemistry
Conclusions
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AIChE Spring Meeting, San Antonio, TX, USA, 28/03/2017
Pentanol as biofuel or chemial building block?
• Many reaction pathways for pyrolysis or combustion
• Use of Genesys for kinetic model construction
• Additional ab initio calculations for the C5H11O reactions
• Promising model validation, but more experimental data is also needed
• Combustion behaviour
Acknowledgements
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AIChE Spring Meeting, San Antonio, TX, USA, 28/03/2017
Long Term Structural Methusalem Funding by the Flemish
Government
Institute for the Promotion of Innovation through Science and
Technology in Flanders (IWT Vlaanderen)