salient energy bio-conversion processes limiting gas turbine engine performance & efficiency
TRANSCRIPT
1
Salient Energy Bio-Conversion Processes Limiting Gas Turbine Engine Performance Efficiency
Tosin Onabanjo*; Giuseppina Di Lorenzo
School of Energy, Environmental and Agrifood (SEEA), Cranfield University
2Outline
— Background on Bio-conversion
— Industry Overview
— Research Barriers
— Next Steps in Predictive Condition Monitoring
3Bio-conversion (1)
The conversion of organic matter, into a source of energy through the action of microorganisms.
Organic Matter
Carbon Source
Energy
Definition
4Bio-conversion (2)
microbial fuel cell
anaerobic digestion
fermentation
bioremediation
Concept of Bioenergy
5Bio-conversion (3)
Hydrocarbon loss
Sludge accumulation
Induced corrosion
Physiological changes
Chemical changes
Observed effects
6Bio-conversion (4)
Component FailureInjectors, Filters, Fuel line, Wall Liner, Blade fouling
Reduced Engine Performance
Increased smoke tendency and particulate emissions
7Industry Overview (1)
1895
Firs
t
reporte
d
1956
In JP
-4 Fu
els
Series of
incidence
1941
Bulk st
ored
fuels
2003
Fuel-wate
r In
terp
hase &
Biocid
es1988
Bio
-surfa
ctant p
roduct
ion
1979
meta
bolite p
roduct
ion
2010
Sludge fo
rmatio
n/filte
r
pluggin
g
1983
Bulk st
orage w
ith lo
w turn
over rate
s
¬35 day
s
1998
Select
ive d
egradatio
n
2007
MIC
1980
Biofilm
sm
ilitary
aircraft naval
engines
Marine
engines
2004
W
ater i
s ess
ential
2012
Biodie
sel f
uel pro
lifera
tion
History
8Industry Overview (2)
Bacteria
l
conta
min
ation
Larg
e ci
rcula
ting
syst
ems
in S
team
Turb
ines
Engin
es o
perat
ing
Biofu
els
Mar
ine
Engin
es
Engin
es o
perat
ing o
n fuel
s
with
low tu
rn o
ver r
ates
*
Engin
es o
perat
ing
in w
arm
clim
ate
Engine D
egradatio
n
more at risk
engines
History to Future
9Industry Overview (3)
Microbes: bacteria, mould, yeasts
Mechanisms of contamination: rust,
dust, soil, air, water, fuel
Mechanisms of hydrocarbon
degradation: aerobic, anaerobic, acid-
producing, symbiotic
Successes & Challenges
10
Industry Overview (4)
Ecology: fuel-water interphase
Bio-surfactant, Biofilms
TEA: O2, NO3, SO4, CO2
Growth factors: pH, Temp., Water,
nutrients, enhancer/inhibitor
By-products: sludge, sulphide, water,
CO2
Biocides
Successes & Challenges
11
Industry Overview (5)
Good Handling Practices
Biocide Application
Water Elimination
Routine Inspection
Successes & Challenges
12
Research Barriers (1)
How much degradation occurs during an opportunistic window of growth
Opportunistic gap
Water consistent in fuels
Complex microbial systems
Asymptomatic reactions
13
Research Barriers (2)
Hydrocarbon loss –degree?
Sludge accumulation – microbial % and chemical %?
Induced corrosion – microbial %
Physiological changes – Sig.?
Chemical changes – Sig.?
14
Research Barriers (3)
Component FailureInjectors, Filters, Fuel line, Wall Liner, Blade fouling
Reduced Engine Performance
Increased smoke tendency and particulate emissions
Metal Corrosion
Degree?
15
Research Barriers (4)
Root Cause Analysis
Microbes identification
Detection (simple to complex)
Control including biocides
x Reactive
x Symptomatic
x Cost intensive
x Cause-effect relationship
Traditional approach
Microbiological Examinations Engineering
x Misdiagnosis
x Non-detection
x Parallel research
x Underestimation/Overestimation
x Drug resistance
16
Next Steps for Predictive Condition Monitoring (1)
Systematic Analysis
Root cause analysis –advance microbiology techniques
Modelling: fuel chemical kinetics, microbial kinetics, abiotic factors, bio-energetics
Gross observation –representative sampling
Engineering
x Proactive
x Reduce downtime
x Reduced associated cost
x Increased understanding
x Predictive maintenance and condition monitoring
x Reduced pressure on microbial evolution
Optimized approach
17
Next Steps for Predictive Condition Monitoring (2)
First time development of an engine bio-fouling model
• Estimate hydrocarbon loss
• Relate to engine performance and emission analysis
PowerEnergy2015-49657 July 01, 2015 01:00 PM - 02:45 PM Application of BIO-fAEG, a biofouling assessment model in gas turbines …
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