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Energy Analysis and Energy Analysis and Environmental Impacts of Ethanol Environmental Impacts of Ethanol
in Thailandin Thailand
Presented by: CEP-KMUTT research group
Analysis of Ethanol in Analysis of Ethanol in ThailandThailand
Energy to produce 99.5% ethanol using cassava
Environmental effects of ethanol as a fuel supplement
Ethanol Production ProcessEthanol Production Process
Cassava Farm Milling Factory
Starch to Sugar
Distillation
Refining
Fermentation
Ethanol Factory
Transportation
Blending
Locations of Cassava Milling and Ethanol Locations of Cassava Milling and Ethanol FactoriesFactories
Ethanol Factory
Cassava Milling
Average Transportation
Energy Cost
~ 0.62 MJ / L 99.5%
Energy Cost in MJ/L 99.5% EthanolEnergy Cost in MJ/L 99.5% Ethanol
Process Azeotrope Membrane Molecular
Sieve
Cassava Farm 0.54 0.49 0.49
Milling 4.87 4.36 4.36
Ethanol Factory 18.53 16.26 15.71
starch to sugar 0.46 0.41 0.41
fermentation 1.11 0.99 0.99
distillation 15.81 14.17 14.17
refining 1.17 0.69 0.14
Transportation 1.45 1.30 1.30
Total 25.40 22.41 21.85
Chart of Energy CostChart of Energy Cost
Refining3%
Transportation6%
Cassava Farm2%
Fermentation4%
Starch to Sugar2%
Distillation64%
Milling Factory
19%
Energy BalanceEnergy Balance
Net energy loss of ~ 0.75 to 4.3 MJ/L (~ 3 to 20%)
21.125.4 22.41 21.85
0
5
10
15
20
25
30M
J/L
Energy OutputEnergy Input AzeotropeEnergy Input MembraneEnergy Input Molecular Sieve
Conclusion Energy AnalysisConclusion Energy AnalysisThis energy analysis is unique in that it is
the first time the total energy cost of producing and blending 99.5% ethanol in Thailand has been calculated.
Negative energy balanceOther studies have calculated a net energy
gain from the ethanol production process – A 2002 study conducted by the US Department
of Agriculture found a +5.9 MJ/L ethanol gain in energy
DiscussionDiscussion
How do our results affect the benefits from “Greenhouse Neutrality”?
Around 22 to 25 MJ of Fossil Fuel is used to produce 21.1 MJ of EtOH
Advances in Technology and/or Technology Transfer from other countries
Economies of Scale: Can ethanol become a closed system?
Greenhouse Gas emissions trading
Gasohol Emissions vs. Gasohol Emissions vs. Gasoline EmissionsGasoline Emissions
Pollutant Change Effect Acetaldehyde +100% Increase O3 levels
CO -16% Decrease O3 levels, decrease exposure to harmful toxin
NOx -31% < X < +15 % Change in O3 levels
VOC +17% Increase O3 levels
Ethanol +160% Increase O3 levels
CO2 -100% Slows down global warming
PANs Unknown increase Eye irritant, harms plants
Fuel Economy Very small decrease (-1%) Negligible
Stations ModeledStations Modeled
11 km
MET Department
Huay Kwang
Comparison of Measured Comparison of Measured Data and the Template ModelData and the Template Model
Measured Concentrations 8/19/96 at Huay Kwang Station
0
20
40
60
80
100
120
900 1100 1300 1500 1700 1900
Time of Day
Co
nce
ntr
atio
n (
pp
b)
O3
NO
NO2
Template Model: 8/19/96 at Huay Kwang Station
0
20
40
60
80
100
120
900 1100 1300 1500 1700 1900
Time of Day
Co
cen
trat
ion
(p
pb
)
O3
NO
NO2
Comparison of Measured and Comparison of Measured and Template ModelTemplate Model
Simulated and Measured O3 Concentrations vs. Time
8/19/96 Huay Kwang Station
02468
10
1214161820
900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900
Time of Day
Co
nc
en
tra
tio
n (
pp
b)
Measured O3
Modeled O3
Comparing the Simulated Comparing the Simulated Results with Measured DataResults with Measured Data
The O3 patterns are similar
Max O3 level of Template Model (~14 ppb)
is ~25% lower than measured data (~18 ppb)NO2 patterns are similar
NO concentrations differ greatly, but the overall patterns are similar
Description of Scenarios Description of Scenarios Modeled in OZIPPModeled in OZIPP
VOC NOx CO Notes
Template ------- ------- ------- No ethanol
Scenario 1 +17% -31% -16% PTT data
Scenario 2 +17% +15% -16% Journal Data
Scenario 3 -12% -15% -37% Projected
(~ 5 years)
Comparison of Modeled Comparison of Modeled OO33 levels for 8/19/96 at Huay Kwang levels for 8/19/96 at Huay Kwang
Modeled O3 Concentrations vs. Time
0
5
10
15
20
25
30
35
900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900
Time of Day
Co
nce
ntr
atio
n o
f O3
(pp
b)
Template
Scenario 1
Scenario 2
Scenario 3
Comparison between Comparison between Template,Scenario 2, and Scenario 3Template,Scenario 2, and Scenario 3
Modeled O3 Concentrations vs. Time8/19/96 Huay Kwang Monitoring Station
0
4
8
12
16
20
900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900
Time of Day
Co
nce
ntr
atio
n o
f O3
(pp
b)
Template
Scenario 2
Scenario 3
OZIPP Results for 8/19/96OZIPP Results for 8/19/96
Comparison of Maximum O3 concentrations
for 8/19/96 at Huay Kwang Monitoring Station
0
5
10
15
20
25
30
35
40
Template Scenario 1 Scenario 2 Scenario 3
O3
Co
nce
ntr
atio
n (p
pb
)
+171%
+49% +42%
OZIPP Results for 12/23/97OZIPP Results for 12/23/97
Comparison of Maximum O3 concentrations for 12/23/97 at Huay Kwang Monitoring Station
020406080
100120140160180200
Template Scenario 1 Scenario 2 Scenario 3
O3 C
once
ntra
tion
(ppb
)
+127%
+17%+29%
PANsPANs
PANs Concentration for Models vs. Time12/23/97 Huay Kwang
0
2
4
6
8
10
12
14
16
900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900
Time of Day
Co
nc
en
tra
tio
n (
pp
b)
template
Scenario 1
Scenario 2
Scenario 3
The Effect of Increased The Effect of Increased Acetaldehyde EmissionsAcetaldehyde Emissions
From our results, the additional acetaldehyde and ethanol emissions from gasohol increase the concentration of ground level ozone.
Ozone levels still increase when VOC, NOx, and CO emissions are reduced below baseline levels, demonstrating acetaldehyde’s influence on ozone formation.
ConclusionsConclusions
From our data, the widespread use of gasohol in the BMR would most likely lead to an increase in ground level ozone; however, the exact increase is not known.
It appears that lower ozone days will experience higher increases in ozone than high ozone days. However, significant increases in ozone concentrations are expected for all days.
Final ThoughtsFinal Thoughts
The potential benefits of producing and using fuel ethanol are obvious:
-Economic stimulus for impoverished agricultural areas-Increased self-sufficiency-Decreased Greenhouse Gas Emissions
-Competitive advantage over other countries
Final ThoughtsFinal Thoughts Our energy analysis and OZIPP modeling was
an objective attempt at producing a more holistic view of how fuel ethanol production and use might effect Thailand.
A positive energy balance must be achieved for most potential benefits to be realized.
Determining the net environmental effects are very complex and require a comprehensive analysis of both ethanol production and use.
Final ThoughtsFinal Thoughts
If Thailand should choose to use fuel ethanol, we strongly recommend that the government vigorously monitor energy cost, energy efficiency, and air quality so that problems are recognized and corrected in a timely manner.