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Strategy to Reduce GHG Emission and Energy Fossil
Consumption at Process Production of Biodiesel Using
Catalyst From Crude Palm Oil (CPO) and Crude
Jatropha Curcas Oil (CJCO) in Indonesia
by :
Kiman Siregar*
Agricultural Engineering Department of Syiah Kuala University
Jl.Tgk.Hasan Krueng Kalee No.3 Kopelma Darussalam Banda Aceh 23111 Banda Aceh – Indonesia
*Corresponding author : ksiregar.tep@unsyiah.ac.id
@ International Conference-Sustainable Agriculture, Food and Energy (SAFE2015)
Nong Lam University Ho Chi Minh City Vietnam, 17-18 November 2015
Founding member of ILCAN (Indonesian Life Cycle Assessment Network)
www.ilcan.or.id
2
OOUTLINE :UTLINE :
1.1. IntroductionIntroduction
2.2. MethodologyMethodology
3.3. Result and DiscussionResult and Discussion
4.4. ConclusionConclusion
5.5. AcknowledgementAcknowledgement
INTRODUCTION
 Two important issues of biodiesel development :
(1) Global warming  GHG emission
(2) Energy security  energy fossil consumption
 Global warming issue can be analyzed by Life Cycle Assessment (LCA)
 LCA can be used to ensure that environmental impact has been
considered in decision making.
 The result of LCA is highly influenced by the reliability and sufficiency of
data inventory of the assessed objects
 Palm oil is the main biodiesel feedstock in Indonesia, as aditional
Jatropha curcas oil also consider as an alternative feedstock
 How to reduce contribution of GHG emission and energy fuel
consumption at production process of biodiesel ?
OBJECTIVE
The objective of the research is to analysis and
compare Life Cycle Assessment of oil palm and
Jatropha curcas as feedstock for biodiesel in
Indonesia with boundary from cradle to gate using
data based found in Indonesia, and to find strategy
to reduce of value of green house gas emission
and energy fossil consumption
INTRODUCTION
 The following questions have been formulated from the previous
problem in systematic and structured study to provide good result :
1. What is the emission distribution for planting, harvesting and post-
harvesting of palm oil and Jathropa curcas-based biodiesel? Which
stage has significant effect? What kind of material input is the most
siqnificant increasing the GHG emission value?
2. How are the energy consumption, net energy balance, net energy
ratio, and renewable index of biodiesel production from palm oil and
jathropa curcas?
3. How much is the potentialing in reducing GHG emission generated
from palm oil and jathropa curcas-based biodiesel compared to
diesel-fuel one?
It is expected that the research could give solution and describe the GHG
emission and energy consumption for further development of biodiesel
processing.
METHODOLOGY
Research boundary
1. Land preparation
2. Seedling
3. Planting
4. Fertilizing
5. Protection
6. Harvesting
7. Palm oil mills/Oil extraction
8. Biodiesel production
The main difference between those two
feedstock is crude oil production  Oil
palm by milling on other ways Jatropha
curcas by extraction
Goal and Scope DefinitionGoal and Scope Definition     
Boundary of research
METHODOLOGY
LCIA (life cycle impact assessment) was conducted using the software
released by MiLCA-JEMAI ver.1.1.2.5 (regular license) which refers to IPCC
data and other common standards according to LCA-ISO 14040 series
Point of interest for environmental
impacts in this study :
1.Green house gas (GHG) emission
2.Energy consumption (net energy
balance, net energy ratio,
renewable index)
Data Source
1. Primary data
 Data for oil palm and jatropha curcas were
collected from condition real in Indonesia
(from PT. PN VIII Lebak Banten Indonesia
and Pusat Induk Jarak Pagar Pakuwon
Sukabumi West Java
2. Secondary data
 Scientific journal,
 Research report published by research
institutions in Indonesia
Restrictions and the assumption of this research
1. The functional unit (FU) of this study is 1 ton of Bio Diesel Fuel (BDF)
2. Transportation from seedling to plantation area and from plantation to palm oil
mills and from palm oil mills to biodiesel plant were also considered
3. Oil palm will start to produce at the age of 30 months, but the production will
be stable after 5 years. Jatropha curcas will start to produce at the age of 4
months
4. Productivity of oil palm used in this research is 22.33 tonnes per ha,
eventhough the productivity range from 12 tonnes per ha by farmers to 32.67
tonnes per ha by private plantation
5. Productivity of Jatropha curcas used in this research is 5 tonnes per ha,
eventhough the productivity range from 2 tonnes per ha by farmers to 8
tonnes per ha by private plantation
6. Life cycle of oil palm is about 25 years, while Jatropha curcas can reach 50
years. In this research life cycle of both oil palm and Jatropha curcas is
assumed to be 25 years since the productivity of Jatropha curcas is not stable
anymore after the age of 25 years
Restrictions and the assumption of this research
7. Calculation divided in two stages : before stable productivity (1-5
years) and after stable productivity (6-25 years)
8. Palm oil mills assumed have implemanted methane capture
9. Excluding land use change
10. Calculation of methanol only for methanol that reacted with the
triglyceride
LCI (Life cycle inventory) for Primary Data
Materials and energy used at each activity to produce 1 ton BDF
Oil palm land preparation uses more
herbicides than Jatropha curcas. The
diesel fuel is used for machinery
(tractor)
Oil palm seedlings takes longer time
(about 12 months), compared to
Jatropha curcas (about 3 months),
At this sub process of planting,
Jatropha curcas trees need more
fertilizer compared to oil palms. It
caused by jatropha trees need to be
fertilized before planting and also
there are more number of plants per
hectare for jatropha (appr. 2500 trees)
than oil palms (appr. 136 trees)
At fertilizing : the materials and
energy utilization for oil palms are
higher than Jatropha curcas trees due
to inheritance nature of oil palms
Input
activities Input names Unit
Oil
Palm
Jatropha
curcas
Herbicide kg 0.861 0.624
Diesel fuel for toppling & clearing L 0.703 1.208
(2) Seedling Fungicides kg - 0.852
Insecticides kg 0.00018 0.0057
Chemical fertilizer Urea 0.2 % kg 0.00492 -
Organic fertilizer kg 8.367 9.377
Kieserite (MgSO4) kg 2.008 -
Urea kg 0.00007 -
Herbicide kg 0.974 -
Dolomite kg 2.949 -
Compound fertilizer kg 4.686 -
Electricity for Pump Water kWh 0.436 -
Pesticides kg 0.004 -
Transportation Diesel fuel for truck 5 ton L 1.004 1.189
(3) Planting TSP/SP36 kg 13.387 79.562
Organic fertilizer kg - 994.524
Rock Phosphate kg 22.887 -
KCl - 15.912
(4) Fertilizing Compound fertilizer kg 9.844 -
for five years Rock Phosphate kg 252.492 -
ZA/Urea kg 279.464 87.518
HGF Borate kg 3.347 -
TSP/SP36 kg 117.140 278.467
MOP (K)/KCl kg 245.995 95.474
Kieserit kg 184.078 -
HGF Borate kg 3.347 -
Organic fertilizer kg - 994.524
(1) Land
preparation
LCI for Primary Data
Materials and energy used at each activity to produce 1 ton BDF
At the stage of harvesting sub-
process, the transport energy use
for oil palm are higher than
Jatropha curcas trees due to the
difference of harvesting yield. The
yield of oil palms is higher than yield
of Jatropha curcas trees
In the case of crude oil production,
Jatropha curcas needs only electricity
and diesel fuel for its process. On the
other hand, palm oil mills need more
materials and energy
At the stage of biodesel production
sub-process, due to high average
value of free fatty acids (FFA) in
Jatropha curcas oils, it needs
esterification stage before trans-
esterification. Consequently, Jatropha
curcas oils needs more materials and
energy
Input
activities Input names Unit
Oil
Palm
Jatropha
curcas
(5) Protection Herbicide kg 56.317 -
for five years Insecticides (liquid & powder) kg 1.323 -
Pesticides kg 0.801 2.955
Diesel for power sprayer & fogging L 0.554 -
(6) Harvesting
Transportation Diesel fuel for truck 10 ton L 5.027 2.468
Electricity kWh 34.39 14.833
Steam consumption kg 1325.40 -
Water consumption m
3
3.968 -
PAC kg 0.125 -
Flokulon kg 0.00053 -
NaOH kg 0.107 -
H2SO4/HCl kg 0.109 -
Tanin Consentrate kg 0.045 -
Poly Perse BWT 302 kg 0.045 -
Alkaly BWT 402 kg 0.043 -
Shell consumption kg 133.862 -
Transportation Diesel fuel for truck 10 ton L 2.540 1.890
Methanol ton - 0.449
H2SO4 ton - 0.027
Esterification Electricity kWh - 1.285
Methanol ton 0.269 -
Electricity kWh 15.645 15.645
NaOH ton 0.080 0.080
Water consumption L 1700.68 1719.180
Diesel fuel for Boiler L 14.00 16.00
(7) Palm oil
mills vs Oil
extraction
(8) Biodiesel
production
Trans-
esterification
 The GHG emission value for oil palms is higher than Jatropha curcas in every
stages except for planting and biodiesel production stages
 The most significant environmental impact based on GHG value is caused by
fertilizing and biodiesel production stages both at oil palm and Jatropha curcas
 The percentage of fertilizing sub-process for oil palm and Jatropha curcas are
35.15% and 29.49%,respectively
 Agro-chemical in form of fertilizer and plant protection, which is 50.46% and
33.50% of the total for biodiesel produced from CPO and CJCO,respectively
Calculation for GHG emission value of plants for the first 5
years of each sub-process
10.9 12.8
204.4
511.3
69.6
8.3 18.6
897.8
0
100
200
300
400
500
600
700
800
900
1000
GHG emission
Land
preparation
Seedling
Planting
Fertilizing
Protection
Harvesting
Palm oil mills
Biodiesel
production
kg-CO2eq./tonBDF
29.49%
35.15%
Percentage of GHG emission for LCA with boundary cradle to gate at
oil palm and Jatropha curcas
Input activity Percentage (%)
Palm oil Jatropha curcas
Pre-harvest 52.42 46.66
Harvest 1.23 0.48
Post-harvest 46.34 52.86
The calculaton analysis for stable productivity represents GHG emission at
stable productivity which is 1658.50 and 740.90 kg-CO2eq./ton-BDF for palm
oil and Jatropha curcas, respectively
Emission Reduction of CO2eq. Biodiesel vs Diesel Fossil
after stable productivitybefore stable productivity
Total life
cycle
3.400
2.575
3.058
0.0
0.5
1.0
1.5
2.0
2.5
3.0
3.5
4.0
Fuel source
CO2 emissions reductionvalue of the fossil fuel
Before stable productivity
Diesel oil BDF-Palm oil BDF-Jatropha curcas
kg-CO2/kg
24.251 %
reduction
10.07 %
reduction 3.400
1.512
0.381
0.0
0.5
1.0
1.5
2.0
2.5
3.0
3.5
4.0
Fuel source
CO2 emissionsreductionvalue of the fossil fuel
Afterstable productivity
Diesel oil BDF-Palm oil BDF-Jatropha curcas
kg-CO2/kg
55.531 %
menurun
88.81 %
menurun
3.400
1.725
0.916
0.0
0.5
1.0
1.5
2.0
2.5
3.0
3.5
4.0
Fuel source
CO2 emissionsreductionvalue of the fossilfuel
total productivity
Diesel oil BDF-Palm oil BDF-Jatropha curcas
kg-CO2/kg
49.27 %
reduction
73.06 %
reduction
Sheehan et al. (1998) : BDF-
soybean can reduce CO2eq. of
emission = 78.45% (B100), dan
15.66% (B20) vs fossil fuel
US EPA NODA palm oil
biodiesel = 17%
EU-RED  palm oil biodiesel =
19%
Strategy to Reduce GHG Emission
and Energy Fuel Consumption
Scenario 1 : Using organic fertilizer in fertilization phase, the other terms
are similar
 Scenario 2: 20% biodiesel utilization to substitute diesel for Indonesian
power plant, according to government’s target by 2025
A kind of a power plant and
a source of fuel Percentage (%)
Hydropower (PLTA) 7.23
Fossil fuel-HSD 22.46
Fossil fuel-IDO 0.03
Fossil fuel-MFO 6.83
Geothermal (PLTP) 2.44
Coal 38.5
Natural Gas 22.52%
Solar power plant 0.0005
ication (per kWh) Energy consumption (per kWh)
nis
mbangkit
Eutrophication
kg-PO4e Urut
Jenis
Pembangkit
Energy
Consm.(MJ)
clear 3.9E-07 1 Geothermal 10.062
othermal 2.4E-07 2 Nuclear 7.535
dropower 5.40E-08 3 Hydropower 4.355
al 1.3E-10 4 Fossil fuel-IDO 3.993
sil fuel-MFO 1.21E-12 5 Fossil fuel-MFO 3.842
sil fuel-IDO 1.10E-12 6 Fossil fuel-HSD 3.743
sil fuel-HSD 1.03E-12 7 Coal 3.616
tural gas 0.0E+00 8 Natural gas 3.545
A kind of a power plant and a
source of fuel Persentasi (%)
Hydropower (PLTA) 9.6
Coal 18.4
Fossil fuel 9.2
Natural gas 26.4
Nuclear 34.3
Others 2.1
Waste (per kWh) Eutrophication (per kWh) Energy consumption (per kWh)
Urut
Jenis
Pembangkit
Waste
m3
Urut
Jenis
Pembangkit
Eutrophication
kg-PO4e Urut
Jenis
Pembangkit
Energy
Consm.(MJ)
1 Hydropower 2.8E-06 1 Nuclear 3.9E-07 1 Geothermal 10.062
2 Nuclear 2.2E-06 2 Geothermal 2.4E-07 2 Nuclear 7.535
3 Geothermal 5.2E-08 3 Hydropower 5.40E-08 3 Hydropower 4.355
4 Coal 1.2E-09 4 Coal 1.3E-10 4 Fossil fuel-IDO 3.993
5 Fossil fuel-MFO 1.4E-10 5 Fossil fuel-MFO 1.21E-12 5 Fossil fuel-MFO 3.842
6 Fossil fuel-IDO 1.3E-10 6 Fossil fuel-IDO 1.10E-12 6 Fossil fuel-HSD 3.743
A composition of electricity
Indonesia(Statistik PLN, 2011)
GWP (per kWh) Acidification (per kWh) Waste (per kWh) Eutrophication (per kWh) Energy consumption (per kWh)
Urut
Jenis
Pembangkit
GWP
kg-CO2e Urut
Jenis
Pembangkit
Acidification
kg-SO2e Urut
Jenis
Pembangkit
Waste
m3
Urut
Jenis
Pembangkit
Eutrophication
kg-PO4e Urut
Jenis
Pembangkit
Energy
Consm.(MJ)
1 Coal 0.337 1 Fossil fuel-IDO 0.003 1 Hydropower 2.8E-06 1 Nuclear 3.9E-07 1 Geothermal 10.062
2 Fossil fuel-IDO 0.308 2 Natural gas 0.0004 2 Nuclear 2.2E-06 2 Geothermal 2.4E-07 2 Nuclear 7.535
3 Fossil fuel-HSD 0.287 3 Coal 0.0002 3 Geothermal 5.2E-08 3 Hydropower 5.40E-08 3 Hydropower 4.355
4 Fossil fuel-MFO 0.278 4 Fossil fuel-HSD 0.00016 4 Coal 1.2E-09 4 Coal 1.3E-10 4 Fossil fuel-IDO 3.993
5 Natural gas 0.186 5 Fossil fuel-MFO 0.00014 5 Fossil fuel-MFO 1.4E-10 5 Fossil fuel-MFO 1.21E-12 5 Fossil fuel-MFO 3.842
6 Nuclear 0.039 6 Nuclear 0.00013 6 Fossil fuel-IDO 1.3E-10 6 Fossil fuel-IDO 1.10E-12 6 Fossil fuel-HSD 3.743
7 Hydropower 0.007 7 Hydropower 0.00006 7 Fossil fuel-HSD 1.2E-10 7 Fossil fuel-HSD 1.03E-12 7 Coal 3.616
8 Geothermal 0.003 8 Geothermal 0.000005 8 Natural gas 0.0E+00 8 Natural gas 0.0E+00 8 Natural gas 3.545
A composition of electricity Japan (in
Widiyanto et al. 2003)
LCIA of Electricity
GHG (per kWh)
GHG
GWP (per kg) Acidification (per kg) Waste (per kg) Eutrophication (per kg) Energy consumption (per kg)
Urut
Jenis
Pembangkit
GWP
kg-CO2e
Urut
Jenis
Pembangkit
Acidific.
kg-SO2e Urut
Jenis
Pembangkit
Waste
m
3
Urut
Jenis
Pembangkit
Eutrophic.
kg-PO4e Urut
Jenis
Pembangkit
Energy
Cnsm.(MJ)
1 Chemical-N15%,
P2O5 15%, K 2.626
1 Chemical-N15%,
P2O5 15%, K 0.0036
1 Miscellaneous
phosphatic acid 1.5E+01
1 Fused
phosphate 5.4E-07
1 Nitrogenous &
phosphatic 45.585
2 Nitrogenous &
phosphatic 2.382
2 Miscellaneous
ammonia 0.0034
2 Fused
phosphate 2.0E-05
2 Miscellaneous
phosphatic acid 3.2E-07
2 Chemical-N15%,
P2O5 15%, K 43.621
3 Nitrogen
fertilizer 2.181
3 Miscellaneous
phosphatic acid 0.0033
3 Phosphate
fertilizer 1.6E-05
3 Chemical-N15%,
P2O5 15%, K 2.38E-07
3 Nitrogen
fertilizer 42.593
4 Miscellaneous
phosphatic acid 2.020
4 Fused
phosphate 0.00305
4 Chemical
fertilizer 1.531E-05
4 Chemical-N 19%,
P2O5 42% 1.68E-07
4 Miscellaneous
phosphatic acid 30.658
5 Miscellaneous
ammonia 1.891
5 Nitrogen
fertilizer 0.00203
5 Compound
fertilizer 1.526E-05
5 Miscellaneous
ammonia 1.50E-07
5 Miscellaneous
ammonia 29.111
6 Phosphate
fertilizer 1.222
6 Nitrogenous &
phosphatic 0.00195
6 Mixed
fertilizer 1.52E-05
6 Phosphate
fertilizer 1.37E-07
6 Phosphate
fertilizer 20.481
7 Chemical
fertilizer 1.008
7 Phosphate
fertilizer 0.00177
7 Miscellaneous
chemical 1.4E-05
7 Miscellaneous
chemical 1.02E-07
7 Chemical-N 19%,
P2O5 42% 18.112
8 Chemical-N
19%, P2O5
42% 1.005
8
Chemical
fertilizer 0.00141
8
Miscellaneous
ammonia 1.1E-05
8
Chemical
fertilizer 9.3E-08
8
Chemical
fertilizer 17.189
9 Miscellaneous
chemical 0.987
9 Chemical-N
19%, P2O5 0.00139
9 Nitrogen
fertilizer 1.07E-05
9 Compound
fertilizer 8.57E-08
9 Compound
fertilizer 16.587
10 Fused
phosphate 0.984
10 Compound
fertilizer 0.00133
10 Nitrogenous
& phosphatic 9.05E-06
10 Nitrogenous &
phosphatic 8.02E-08
10 Miscellaneous
chemical 16.580
11 Compound
fertilizer 0.961
11 Miscellaneous
chemical 0.00127
11 Chemical-N15%,
P2O5 15%, K 7.67E-06
11 Mixed
fertilizer 7.56E-08
11 Mixed
fertilizer 15.692
12 Mixed
fertilizer 0.890
12 Mixed
fertilizer 0.00121
12 Potassic
fertilizer 7.48E-06
12 Nitrogen
fertilizer 6.87E-08
12 Fused
phosphate 11.692
13 Potassic
fertilizer 0.310
13 Potassic
fertilizer 0.00072
13 Chemical-N 19%,
P2O5 42% 3.66E-06
13 Potassic
fertilizer 4.44E-08
13 Potassic
fertilizer 4.947
14 Organic
fertilizer 0.080
14 Organic
fertilizer 0.00016
14 Organic
fertilizer 1.52E-06
14 Organic
fertilizer 1.71E-08
14 Organic
fertilizer 1.049
LCIA for fertilizer
Organic fertilizers and related organic materials play an important role in
GHG
GHG
Calculation of Environmental impact
 Previous GHG value of stable productivity is 1658.50 kg-CO2eq./ton-BDF,
decreases to 1211.97 kg-CO2eq./ton-BDF for palm oil. For Jatropha curcas,
previously it is 740.90 kg-CO2eq./ton-BDF, decreases to 207.88 kg-CO2eq./ton-
BDF for Jatropha curcas
 The use of organic fertilizer reduces the GHG value on sub-process fertilizing
from 307.28 kg-CO2eq./ton-BDF to 11.66 kg-CO2eq./ton-BDF for palm oil, and
from 219.36 kg-CO2eq./ton-BDF to 46.72 kg-CO2eq./ton-BDF for Jatropha
curcas
A summary GHG value for four scenario (kg-CO2eq. / ton-BDF / ha / year)
Oil palm
Jatropha
curcas Oil palm
Jatropha
curcas Oil palm
Jatropha
curcas Oil palm
Jatropha
curcas
Unstable productivity 2568.82 1733.67 2300.24 1947.63 2575.48 3057.74 542.12 934.23
Stable productivity 1658.50 740.90 1109.42 662.85 1511.96 380.52 1211.97 207.88
Total Life cycle 1840.56 939.45 1347.58 919.81 1724.66 915.96 1078.00 353.15
Scenario 1 Scenario 2 Scenario 3 Scenario 4
The period Oil palm
Jatropha
curcas Oil palm
Jatropha
curcas Oil palm
Jatropha
curcas Oil palm
Jatropha
curcas
Unstable productivity 2568.82 1733.67 2300.24 1947.63 2575.48 3057.74 542.12 934.23
Stable productivity 1658.50 740.90 1109.42 662.85 1511.96 380.52 1211.97 207.88
Total Life cycle 1840.56 939.45 1347.58 919.81 1724.66 915.96 1078.00 353.15
Scenario 1 Scenario 2 Scenario 3 Scenario 4
The period
B e f o r e A f t e r
LCIA Biodiesel from CJCO
GHG value of BDF-CJCO value throughout its life cycle is 0.916
kg-CO2eq./kg-BDF-CJCO or 0.776 kg-CO2eq./liter-BDF-CJCO. To
produce 1 kWh electricity, it needs SFC (specific fuel
consumption) for about 0.27 (normal Diesel Power Plant), then its
GHG value to produce 1 kWh electricity is 0.209 kg-CO2eq
No
Urut
Jenis Sumber Bahan
Bakar Pembangkit
GWP
kg-CO2eq./kWh
1 Coal 0.337
2 Fossil fuel-IDO 0.308
3 Fossil fuel-HSD 0.287
4 Fossil fuel-MFO 0.278
5 Bio Diesel-CJCO 0.209
6 Natural gas 0.186
7 Nuclear 0.039
8 Hydropower 0.007
9 Geothermal 0.003
ENERGY ANALYSIS
NEB, NER, RI
 Energy consumption in biodiesel production sub-process of Jatropha curcas oil is
higher than that of oil palm oil due to higher free fatty acid (FFA) content which
needs esterification process prior to the transesterification process
 The energy consumption value for oil palms is higher than Jatropha curcas in
every stages except for planting and biodiesel production stages
 The highest energy consumption for Jatropha curcas is at biodiesel production
sub-process. Conversely, the highest energy consumption for oil palms is at
fertilizing sub-process
Calculation for energy consumption of plants for the first 5
years of each sub-process
163.4 242.9
387.4
18240.0
6211.6
422.5
7994.1
16169.1
0
2000
4000
6000
8000
10000
12000
14000
16000
18000
20000
22000
24000
26000
28000
Energy consumption
Energy consumption, HHV(fossil fuel) forPalm oil
Land
preparation
Seedling
Planting
Fertilizing
Protection
Harvesting
Palm oil
mills
Biodiesel
production
MJ/ton-BDF
161.7 186.3
3394.3
10841.1
1178.6
110.4 234.2
25623.4
0
2000
4000
6000
8000
10000
12000
14000
16000
18000
20000
22000
24000
26000
28000
Energy consumption
Energy consumption, HHV(fossil fuel) for Jatropha curcas
Land
preparation
Seedling
Planting
Fertilizing
Protection
Harvesting
Extraction
oil
Biodiesel
production
MJ/ton-BDF
NEB, NER, RI
-300000
-250000
-200000
-150000
-100000
-50000
0
50000
100000
150000
200000
1 2 3 4 5 6 7 8 9 10 1112131415161718 19202122232425
MJ/tonBDF
Year of
Net Energy Balance (NEB)
Oil palm Jatropha curcas
0.150
0.200
0.250
0.300
0.350
0.400
0.450
1 2 3 4 5 6 7 8 9 10 1112131415161718 19202122232425
MJ/tonBDF
Year of
Renewable Index (RI)
Oil palm Jatropha curcas
1.0400
1.0405
1.0410
1.0415
1.0420
1 2 3 4 5 6 7 8 9 10111213141516171819202122232425
MJ/tonBDF
Year of
Net Energy Ratio (NER)
Oilpalm Jatropha curcas
Increased production on oil palm and
Jatropha curcas shows increased
required fossil fuel as well as required
diesel fuel used in boiler. This
condition can be anticipated by using
biomass produced by biodiesel during
its production in boiler
Energy Analysis of NEB, NER, RI
•NER value for oil palm and Jatropha curcas i.e. 1.041 and 1.042, respectively. It
turns that NER value appears to have constant value due to increased output
value will increase the input value, although the NER value can reach higher
value if the produced biomass energy is calculated as output energy.
•The NER value of oil palm and Jathropa curcas is 2.97 and 1.98, respectively.
NER value of oil palm is higher as its produced biomass is higher than Jatropha
curcas.
Energy
parameter
Before After
Oil palm Jatropha
curcas
Oil palm Jatropha
curcas
NEB 146948.08 39334.79 155041.89 42649.83
NER 2’97 1.98 1.041 1.042
RI 0.162 0.270 0.06 0.1160.45 0.74
Sources NER
BDF-CPO BDF-CJCO BDF-Rapeseed
Lam et al. (2009) 2.27 1.92
Yee et al. (2009) 3.53 1.44
Acknowledgement
Thank you very much to Prof.Dr.Ir.Armansyah
H.Tambunan,M.Agr, Dr.Ir.Abdul Kohar,M.Sc, Dr.Ir.Soni
Solistia Wirawan,M.Ec, and Prof.Tetsuya Araki,Ph.D as
my academic advisor in Bogor Agricultural university.
CONCLUSION
– When the productivity has reached stability, the GHG value is 1658.50 kg-CO2eq./ton-
BDF_CPO and 740.52 kg-CO2eq./ton-BDF_CJCO.
– The calculation on stable productivity is lower than unstable productivity. Where as
there is 4/5 part or 20 years of 25 years of its life cycle (oil palm and Jatropha curcas)
lies on this condition. Therefore, appropriate calculation method is needed. In some
journals, the calculation is only performed in the first five years
– Agro-chemical utilization such as fertilizer, insecticides, pesticides, and fungicides,
produce significant contribution to environmental impact in biodiesel production. It is
50.46% for oil palm and 33.51% for Jatropha curcas.
– The use of organic fertilizer is very influential in the reduction of GHG value impact in
fertilization sub-process. It could reduce up to 96.2 % for oil palm and 76.8% for
Jatropha curcas or for all life cycle could reduce up to 37.4 % for oil palm and 61.4%
for Jatropha curcas
– Using jatropha based biodiesel for electricity generation is still better than using
other fossil fuel.
– The energy input in oil palm is higher than Jatropha curcas as show by higher the
NEB which is 146,948.08 and 39,334.79 for oil palm and Jatropha curcas,
respectively and by lower the RI value which is 0.162 and 0.270 for oil palm and
Jatropha curcas, respectively
– Compared to diesel fuel, CO2
eq.
Emission on its life cycle is reduced up to 49.27%
and 73.06% for BDF_CPO and BDF_CJCO, respectively
Thank you for your attention...
Contact person :
Dr.Kiman Siregar
Agricultural Engineering Department of Syiah Kuala University
Banda Aceh-Indonesia
E-mail : ksiregar.tep@unsyiah.ac.id
Mobile phone :+628128395848
iregar2004@yahoo.com; cell : 0812-8395848

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Environmental and Social Impact Assessment
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Safe ps 08-17 nop 2015 @nang lam university @vietnam final-

  • 1. Strategy to Reduce GHG Emission and Energy Fossil Consumption at Process Production of Biodiesel Using Catalyst From Crude Palm Oil (CPO) and Crude Jatropha Curcas Oil (CJCO) in Indonesia by : Kiman Siregar* Agricultural Engineering Department of Syiah Kuala University Jl.Tgk.Hasan Krueng Kalee No.3 Kopelma Darussalam Banda Aceh 23111 Banda Aceh – Indonesia *Corresponding author : ksiregar.tep@unsyiah.ac.id @ International Conference-Sustainable Agriculture, Food and Energy (SAFE2015) Nong Lam University Ho Chi Minh City Vietnam, 17-18 November 2015 Founding member of ILCAN (Indonesian Life Cycle Assessment Network) www.ilcan.or.id
  • 2. 2 OOUTLINE :UTLINE : 1.1. IntroductionIntroduction 2.2. MethodologyMethodology 3.3. Result and DiscussionResult and Discussion 4.4. ConclusionConclusion 5.5. AcknowledgementAcknowledgement
  • 3. INTRODUCTION  Two important issues of biodiesel development : (1) Global warming  GHG emission (2) Energy security  energy fossil consumption  Global warming issue can be analyzed by Life Cycle Assessment (LCA)  LCA can be used to ensure that environmental impact has been considered in decision making.  The result of LCA is highly influenced by the reliability and sufficiency of data inventory of the assessed objects  Palm oil is the main biodiesel feedstock in Indonesia, as aditional Jatropha curcas oil also consider as an alternative feedstock  How to reduce contribution of GHG emission and energy fuel consumption at production process of biodiesel ?
  • 4. OBJECTIVE The objective of the research is to analysis and compare Life Cycle Assessment of oil palm and Jatropha curcas as feedstock for biodiesel in Indonesia with boundary from cradle to gate using data based found in Indonesia, and to find strategy to reduce of value of green house gas emission and energy fossil consumption
  • 5. INTRODUCTION  The following questions have been formulated from the previous problem in systematic and structured study to provide good result : 1. What is the emission distribution for planting, harvesting and post- harvesting of palm oil and Jathropa curcas-based biodiesel? Which stage has significant effect? What kind of material input is the most siqnificant increasing the GHG emission value? 2. How are the energy consumption, net energy balance, net energy ratio, and renewable index of biodiesel production from palm oil and jathropa curcas? 3. How much is the potentialing in reducing GHG emission generated from palm oil and jathropa curcas-based biodiesel compared to diesel-fuel one? It is expected that the research could give solution and describe the GHG emission and energy consumption for further development of biodiesel processing.
  • 6. METHODOLOGY Research boundary 1. Land preparation 2. Seedling 3. Planting 4. Fertilizing 5. Protection 6. Harvesting 7. Palm oil mills/Oil extraction 8. Biodiesel production The main difference between those two feedstock is crude oil production  Oil palm by milling on other ways Jatropha curcas by extraction
  • 7. Goal and Scope DefinitionGoal and Scope Definition      Boundary of research
  • 8. METHODOLOGY LCIA (life cycle impact assessment) was conducted using the software released by MiLCA-JEMAI ver.1.1.2.5 (regular license) which refers to IPCC data and other common standards according to LCA-ISO 14040 series Point of interest for environmental impacts in this study : 1.Green house gas (GHG) emission 2.Energy consumption (net energy balance, net energy ratio, renewable index) Data Source 1. Primary data  Data for oil palm and jatropha curcas were collected from condition real in Indonesia (from PT. PN VIII Lebak Banten Indonesia and Pusat Induk Jarak Pagar Pakuwon Sukabumi West Java 2. Secondary data  Scientific journal,  Research report published by research institutions in Indonesia
  • 9. Restrictions and the assumption of this research 1. The functional unit (FU) of this study is 1 ton of Bio Diesel Fuel (BDF) 2. Transportation from seedling to plantation area and from plantation to palm oil mills and from palm oil mills to biodiesel plant were also considered 3. Oil palm will start to produce at the age of 30 months, but the production will be stable after 5 years. Jatropha curcas will start to produce at the age of 4 months 4. Productivity of oil palm used in this research is 22.33 tonnes per ha, eventhough the productivity range from 12 tonnes per ha by farmers to 32.67 tonnes per ha by private plantation 5. Productivity of Jatropha curcas used in this research is 5 tonnes per ha, eventhough the productivity range from 2 tonnes per ha by farmers to 8 tonnes per ha by private plantation 6. Life cycle of oil palm is about 25 years, while Jatropha curcas can reach 50 years. In this research life cycle of both oil palm and Jatropha curcas is assumed to be 25 years since the productivity of Jatropha curcas is not stable anymore after the age of 25 years
  • 10. Restrictions and the assumption of this research 7. Calculation divided in two stages : before stable productivity (1-5 years) and after stable productivity (6-25 years) 8. Palm oil mills assumed have implemanted methane capture 9. Excluding land use change 10. Calculation of methanol only for methanol that reacted with the triglyceride
  • 11. LCI (Life cycle inventory) for Primary Data Materials and energy used at each activity to produce 1 ton BDF Oil palm land preparation uses more herbicides than Jatropha curcas. The diesel fuel is used for machinery (tractor) Oil palm seedlings takes longer time (about 12 months), compared to Jatropha curcas (about 3 months), At this sub process of planting, Jatropha curcas trees need more fertilizer compared to oil palms. It caused by jatropha trees need to be fertilized before planting and also there are more number of plants per hectare for jatropha (appr. 2500 trees) than oil palms (appr. 136 trees) At fertilizing : the materials and energy utilization for oil palms are higher than Jatropha curcas trees due to inheritance nature of oil palms Input activities Input names Unit Oil Palm Jatropha curcas Herbicide kg 0.861 0.624 Diesel fuel for toppling & clearing L 0.703 1.208 (2) Seedling Fungicides kg - 0.852 Insecticides kg 0.00018 0.0057 Chemical fertilizer Urea 0.2 % kg 0.00492 - Organic fertilizer kg 8.367 9.377 Kieserite (MgSO4) kg 2.008 - Urea kg 0.00007 - Herbicide kg 0.974 - Dolomite kg 2.949 - Compound fertilizer kg 4.686 - Electricity for Pump Water kWh 0.436 - Pesticides kg 0.004 - Transportation Diesel fuel for truck 5 ton L 1.004 1.189 (3) Planting TSP/SP36 kg 13.387 79.562 Organic fertilizer kg - 994.524 Rock Phosphate kg 22.887 - KCl - 15.912 (4) Fertilizing Compound fertilizer kg 9.844 - for five years Rock Phosphate kg 252.492 - ZA/Urea kg 279.464 87.518 HGF Borate kg 3.347 - TSP/SP36 kg 117.140 278.467 MOP (K)/KCl kg 245.995 95.474 Kieserit kg 184.078 - HGF Borate kg 3.347 - Organic fertilizer kg - 994.524 (1) Land preparation
  • 12. LCI for Primary Data Materials and energy used at each activity to produce 1 ton BDF At the stage of harvesting sub- process, the transport energy use for oil palm are higher than Jatropha curcas trees due to the difference of harvesting yield. The yield of oil palms is higher than yield of Jatropha curcas trees In the case of crude oil production, Jatropha curcas needs only electricity and diesel fuel for its process. On the other hand, palm oil mills need more materials and energy At the stage of biodesel production sub-process, due to high average value of free fatty acids (FFA) in Jatropha curcas oils, it needs esterification stage before trans- esterification. Consequently, Jatropha curcas oils needs more materials and energy Input activities Input names Unit Oil Palm Jatropha curcas (5) Protection Herbicide kg 56.317 - for five years Insecticides (liquid & powder) kg 1.323 - Pesticides kg 0.801 2.955 Diesel for power sprayer & fogging L 0.554 - (6) Harvesting Transportation Diesel fuel for truck 10 ton L 5.027 2.468 Electricity kWh 34.39 14.833 Steam consumption kg 1325.40 - Water consumption m 3 3.968 - PAC kg 0.125 - Flokulon kg 0.00053 - NaOH kg 0.107 - H2SO4/HCl kg 0.109 - Tanin Consentrate kg 0.045 - Poly Perse BWT 302 kg 0.045 - Alkaly BWT 402 kg 0.043 - Shell consumption kg 133.862 - Transportation Diesel fuel for truck 10 ton L 2.540 1.890 Methanol ton - 0.449 H2SO4 ton - 0.027 Esterification Electricity kWh - 1.285 Methanol ton 0.269 - Electricity kWh 15.645 15.645 NaOH ton 0.080 0.080 Water consumption L 1700.68 1719.180 Diesel fuel for Boiler L 14.00 16.00 (7) Palm oil mills vs Oil extraction (8) Biodiesel production Trans- esterification
  • 13.  The GHG emission value for oil palms is higher than Jatropha curcas in every stages except for planting and biodiesel production stages  The most significant environmental impact based on GHG value is caused by fertilizing and biodiesel production stages both at oil palm and Jatropha curcas  The percentage of fertilizing sub-process for oil palm and Jatropha curcas are 35.15% and 29.49%,respectively  Agro-chemical in form of fertilizer and plant protection, which is 50.46% and 33.50% of the total for biodiesel produced from CPO and CJCO,respectively Calculation for GHG emission value of plants for the first 5 years of each sub-process 10.9 12.8 204.4 511.3 69.6 8.3 18.6 897.8 0 100 200 300 400 500 600 700 800 900 1000 GHG emission Land preparation Seedling Planting Fertilizing Protection Harvesting Palm oil mills Biodiesel production kg-CO2eq./tonBDF 29.49% 35.15%
  • 14. Percentage of GHG emission for LCA with boundary cradle to gate at oil palm and Jatropha curcas Input activity Percentage (%) Palm oil Jatropha curcas Pre-harvest 52.42 46.66 Harvest 1.23 0.48 Post-harvest 46.34 52.86 The calculaton analysis for stable productivity represents GHG emission at stable productivity which is 1658.50 and 740.90 kg-CO2eq./ton-BDF for palm oil and Jatropha curcas, respectively
  • 15. Emission Reduction of CO2eq. Biodiesel vs Diesel Fossil after stable productivitybefore stable productivity Total life cycle 3.400 2.575 3.058 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 4.0 Fuel source CO2 emissions reductionvalue of the fossil fuel Before stable productivity Diesel oil BDF-Palm oil BDF-Jatropha curcas kg-CO2/kg 24.251 % reduction 10.07 % reduction 3.400 1.512 0.381 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 4.0 Fuel source CO2 emissionsreductionvalue of the fossil fuel Afterstable productivity Diesel oil BDF-Palm oil BDF-Jatropha curcas kg-CO2/kg 55.531 % menurun 88.81 % menurun 3.400 1.725 0.916 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 4.0 Fuel source CO2 emissionsreductionvalue of the fossilfuel total productivity Diesel oil BDF-Palm oil BDF-Jatropha curcas kg-CO2/kg 49.27 % reduction 73.06 % reduction Sheehan et al. (1998) : BDF- soybean can reduce CO2eq. of emission = 78.45% (B100), dan 15.66% (B20) vs fossil fuel US EPA NODA palm oil biodiesel = 17% EU-RED  palm oil biodiesel = 19%
  • 16. Strategy to Reduce GHG Emission and Energy Fuel Consumption Scenario 1 : Using organic fertilizer in fertilization phase, the other terms are similar  Scenario 2: 20% biodiesel utilization to substitute diesel for Indonesian power plant, according to government’s target by 2025
  • 17. A kind of a power plant and a source of fuel Percentage (%) Hydropower (PLTA) 7.23 Fossil fuel-HSD 22.46 Fossil fuel-IDO 0.03 Fossil fuel-MFO 6.83 Geothermal (PLTP) 2.44 Coal 38.5 Natural Gas 22.52% Solar power plant 0.0005 ication (per kWh) Energy consumption (per kWh) nis mbangkit Eutrophication kg-PO4e Urut Jenis Pembangkit Energy Consm.(MJ) clear 3.9E-07 1 Geothermal 10.062 othermal 2.4E-07 2 Nuclear 7.535 dropower 5.40E-08 3 Hydropower 4.355 al 1.3E-10 4 Fossil fuel-IDO 3.993 sil fuel-MFO 1.21E-12 5 Fossil fuel-MFO 3.842 sil fuel-IDO 1.10E-12 6 Fossil fuel-HSD 3.743 sil fuel-HSD 1.03E-12 7 Coal 3.616 tural gas 0.0E+00 8 Natural gas 3.545 A kind of a power plant and a source of fuel Persentasi (%) Hydropower (PLTA) 9.6 Coal 18.4 Fossil fuel 9.2 Natural gas 26.4 Nuclear 34.3 Others 2.1 Waste (per kWh) Eutrophication (per kWh) Energy consumption (per kWh) Urut Jenis Pembangkit Waste m3 Urut Jenis Pembangkit Eutrophication kg-PO4e Urut Jenis Pembangkit Energy Consm.(MJ) 1 Hydropower 2.8E-06 1 Nuclear 3.9E-07 1 Geothermal 10.062 2 Nuclear 2.2E-06 2 Geothermal 2.4E-07 2 Nuclear 7.535 3 Geothermal 5.2E-08 3 Hydropower 5.40E-08 3 Hydropower 4.355 4 Coal 1.2E-09 4 Coal 1.3E-10 4 Fossil fuel-IDO 3.993 5 Fossil fuel-MFO 1.4E-10 5 Fossil fuel-MFO 1.21E-12 5 Fossil fuel-MFO 3.842 6 Fossil fuel-IDO 1.3E-10 6 Fossil fuel-IDO 1.10E-12 6 Fossil fuel-HSD 3.743 A composition of electricity Indonesia(Statistik PLN, 2011) GWP (per kWh) Acidification (per kWh) Waste (per kWh) Eutrophication (per kWh) Energy consumption (per kWh) Urut Jenis Pembangkit GWP kg-CO2e Urut Jenis Pembangkit Acidification kg-SO2e Urut Jenis Pembangkit Waste m3 Urut Jenis Pembangkit Eutrophication kg-PO4e Urut Jenis Pembangkit Energy Consm.(MJ) 1 Coal 0.337 1 Fossil fuel-IDO 0.003 1 Hydropower 2.8E-06 1 Nuclear 3.9E-07 1 Geothermal 10.062 2 Fossil fuel-IDO 0.308 2 Natural gas 0.0004 2 Nuclear 2.2E-06 2 Geothermal 2.4E-07 2 Nuclear 7.535 3 Fossil fuel-HSD 0.287 3 Coal 0.0002 3 Geothermal 5.2E-08 3 Hydropower 5.40E-08 3 Hydropower 4.355 4 Fossil fuel-MFO 0.278 4 Fossil fuel-HSD 0.00016 4 Coal 1.2E-09 4 Coal 1.3E-10 4 Fossil fuel-IDO 3.993 5 Natural gas 0.186 5 Fossil fuel-MFO 0.00014 5 Fossil fuel-MFO 1.4E-10 5 Fossil fuel-MFO 1.21E-12 5 Fossil fuel-MFO 3.842 6 Nuclear 0.039 6 Nuclear 0.00013 6 Fossil fuel-IDO 1.3E-10 6 Fossil fuel-IDO 1.10E-12 6 Fossil fuel-HSD 3.743 7 Hydropower 0.007 7 Hydropower 0.00006 7 Fossil fuel-HSD 1.2E-10 7 Fossil fuel-HSD 1.03E-12 7 Coal 3.616 8 Geothermal 0.003 8 Geothermal 0.000005 8 Natural gas 0.0E+00 8 Natural gas 0.0E+00 8 Natural gas 3.545 A composition of electricity Japan (in Widiyanto et al. 2003) LCIA of Electricity GHG (per kWh) GHG
  • 18. GWP (per kg) Acidification (per kg) Waste (per kg) Eutrophication (per kg) Energy consumption (per kg) Urut Jenis Pembangkit GWP kg-CO2e Urut Jenis Pembangkit Acidific. kg-SO2e Urut Jenis Pembangkit Waste m 3 Urut Jenis Pembangkit Eutrophic. kg-PO4e Urut Jenis Pembangkit Energy Cnsm.(MJ) 1 Chemical-N15%, P2O5 15%, K 2.626 1 Chemical-N15%, P2O5 15%, K 0.0036 1 Miscellaneous phosphatic acid 1.5E+01 1 Fused phosphate 5.4E-07 1 Nitrogenous & phosphatic 45.585 2 Nitrogenous & phosphatic 2.382 2 Miscellaneous ammonia 0.0034 2 Fused phosphate 2.0E-05 2 Miscellaneous phosphatic acid 3.2E-07 2 Chemical-N15%, P2O5 15%, K 43.621 3 Nitrogen fertilizer 2.181 3 Miscellaneous phosphatic acid 0.0033 3 Phosphate fertilizer 1.6E-05 3 Chemical-N15%, P2O5 15%, K 2.38E-07 3 Nitrogen fertilizer 42.593 4 Miscellaneous phosphatic acid 2.020 4 Fused phosphate 0.00305 4 Chemical fertilizer 1.531E-05 4 Chemical-N 19%, P2O5 42% 1.68E-07 4 Miscellaneous phosphatic acid 30.658 5 Miscellaneous ammonia 1.891 5 Nitrogen fertilizer 0.00203 5 Compound fertilizer 1.526E-05 5 Miscellaneous ammonia 1.50E-07 5 Miscellaneous ammonia 29.111 6 Phosphate fertilizer 1.222 6 Nitrogenous & phosphatic 0.00195 6 Mixed fertilizer 1.52E-05 6 Phosphate fertilizer 1.37E-07 6 Phosphate fertilizer 20.481 7 Chemical fertilizer 1.008 7 Phosphate fertilizer 0.00177 7 Miscellaneous chemical 1.4E-05 7 Miscellaneous chemical 1.02E-07 7 Chemical-N 19%, P2O5 42% 18.112 8 Chemical-N 19%, P2O5 42% 1.005 8 Chemical fertilizer 0.00141 8 Miscellaneous ammonia 1.1E-05 8 Chemical fertilizer 9.3E-08 8 Chemical fertilizer 17.189 9 Miscellaneous chemical 0.987 9 Chemical-N 19%, P2O5 0.00139 9 Nitrogen fertilizer 1.07E-05 9 Compound fertilizer 8.57E-08 9 Compound fertilizer 16.587 10 Fused phosphate 0.984 10 Compound fertilizer 0.00133 10 Nitrogenous & phosphatic 9.05E-06 10 Nitrogenous & phosphatic 8.02E-08 10 Miscellaneous chemical 16.580 11 Compound fertilizer 0.961 11 Miscellaneous chemical 0.00127 11 Chemical-N15%, P2O5 15%, K 7.67E-06 11 Mixed fertilizer 7.56E-08 11 Mixed fertilizer 15.692 12 Mixed fertilizer 0.890 12 Mixed fertilizer 0.00121 12 Potassic fertilizer 7.48E-06 12 Nitrogen fertilizer 6.87E-08 12 Fused phosphate 11.692 13 Potassic fertilizer 0.310 13 Potassic fertilizer 0.00072 13 Chemical-N 19%, P2O5 42% 3.66E-06 13 Potassic fertilizer 4.44E-08 13 Potassic fertilizer 4.947 14 Organic fertilizer 0.080 14 Organic fertilizer 0.00016 14 Organic fertilizer 1.52E-06 14 Organic fertilizer 1.71E-08 14 Organic fertilizer 1.049 LCIA for fertilizer Organic fertilizers and related organic materials play an important role in GHG GHG
  • 19. Calculation of Environmental impact  Previous GHG value of stable productivity is 1658.50 kg-CO2eq./ton-BDF, decreases to 1211.97 kg-CO2eq./ton-BDF for palm oil. For Jatropha curcas, previously it is 740.90 kg-CO2eq./ton-BDF, decreases to 207.88 kg-CO2eq./ton- BDF for Jatropha curcas  The use of organic fertilizer reduces the GHG value on sub-process fertilizing from 307.28 kg-CO2eq./ton-BDF to 11.66 kg-CO2eq./ton-BDF for palm oil, and from 219.36 kg-CO2eq./ton-BDF to 46.72 kg-CO2eq./ton-BDF for Jatropha curcas A summary GHG value for four scenario (kg-CO2eq. / ton-BDF / ha / year) Oil palm Jatropha curcas Oil palm Jatropha curcas Oil palm Jatropha curcas Oil palm Jatropha curcas Unstable productivity 2568.82 1733.67 2300.24 1947.63 2575.48 3057.74 542.12 934.23 Stable productivity 1658.50 740.90 1109.42 662.85 1511.96 380.52 1211.97 207.88 Total Life cycle 1840.56 939.45 1347.58 919.81 1724.66 915.96 1078.00 353.15 Scenario 1 Scenario 2 Scenario 3 Scenario 4 The period Oil palm Jatropha curcas Oil palm Jatropha curcas Oil palm Jatropha curcas Oil palm Jatropha curcas Unstable productivity 2568.82 1733.67 2300.24 1947.63 2575.48 3057.74 542.12 934.23 Stable productivity 1658.50 740.90 1109.42 662.85 1511.96 380.52 1211.97 207.88 Total Life cycle 1840.56 939.45 1347.58 919.81 1724.66 915.96 1078.00 353.15 Scenario 1 Scenario 2 Scenario 3 Scenario 4 The period B e f o r e A f t e r
  • 20. LCIA Biodiesel from CJCO GHG value of BDF-CJCO value throughout its life cycle is 0.916 kg-CO2eq./kg-BDF-CJCO or 0.776 kg-CO2eq./liter-BDF-CJCO. To produce 1 kWh electricity, it needs SFC (specific fuel consumption) for about 0.27 (normal Diesel Power Plant), then its GHG value to produce 1 kWh electricity is 0.209 kg-CO2eq No Urut Jenis Sumber Bahan Bakar Pembangkit GWP kg-CO2eq./kWh 1 Coal 0.337 2 Fossil fuel-IDO 0.308 3 Fossil fuel-HSD 0.287 4 Fossil fuel-MFO 0.278 5 Bio Diesel-CJCO 0.209 6 Natural gas 0.186 7 Nuclear 0.039 8 Hydropower 0.007 9 Geothermal 0.003
  • 22.  Energy consumption in biodiesel production sub-process of Jatropha curcas oil is higher than that of oil palm oil due to higher free fatty acid (FFA) content which needs esterification process prior to the transesterification process  The energy consumption value for oil palms is higher than Jatropha curcas in every stages except for planting and biodiesel production stages  The highest energy consumption for Jatropha curcas is at biodiesel production sub-process. Conversely, the highest energy consumption for oil palms is at fertilizing sub-process Calculation for energy consumption of plants for the first 5 years of each sub-process 163.4 242.9 387.4 18240.0 6211.6 422.5 7994.1 16169.1 0 2000 4000 6000 8000 10000 12000 14000 16000 18000 20000 22000 24000 26000 28000 Energy consumption Energy consumption, HHV(fossil fuel) forPalm oil Land preparation Seedling Planting Fertilizing Protection Harvesting Palm oil mills Biodiesel production MJ/ton-BDF 161.7 186.3 3394.3 10841.1 1178.6 110.4 234.2 25623.4 0 2000 4000 6000 8000 10000 12000 14000 16000 18000 20000 22000 24000 26000 28000 Energy consumption Energy consumption, HHV(fossil fuel) for Jatropha curcas Land preparation Seedling Planting Fertilizing Protection Harvesting Extraction oil Biodiesel production MJ/ton-BDF
  • 23. NEB, NER, RI -300000 -250000 -200000 -150000 -100000 -50000 0 50000 100000 150000 200000 1 2 3 4 5 6 7 8 9 10 1112131415161718 19202122232425 MJ/tonBDF Year of Net Energy Balance (NEB) Oil palm Jatropha curcas 0.150 0.200 0.250 0.300 0.350 0.400 0.450 1 2 3 4 5 6 7 8 9 10 1112131415161718 19202122232425 MJ/tonBDF Year of Renewable Index (RI) Oil palm Jatropha curcas 1.0400 1.0405 1.0410 1.0415 1.0420 1 2 3 4 5 6 7 8 9 10111213141516171819202122232425 MJ/tonBDF Year of Net Energy Ratio (NER) Oilpalm Jatropha curcas Increased production on oil palm and Jatropha curcas shows increased required fossil fuel as well as required diesel fuel used in boiler. This condition can be anticipated by using biomass produced by biodiesel during its production in boiler
  • 24. Energy Analysis of NEB, NER, RI •NER value for oil palm and Jatropha curcas i.e. 1.041 and 1.042, respectively. It turns that NER value appears to have constant value due to increased output value will increase the input value, although the NER value can reach higher value if the produced biomass energy is calculated as output energy. •The NER value of oil palm and Jathropa curcas is 2.97 and 1.98, respectively. NER value of oil palm is higher as its produced biomass is higher than Jatropha curcas. Energy parameter Before After Oil palm Jatropha curcas Oil palm Jatropha curcas NEB 146948.08 39334.79 155041.89 42649.83 NER 2’97 1.98 1.041 1.042 RI 0.162 0.270 0.06 0.1160.45 0.74 Sources NER BDF-CPO BDF-CJCO BDF-Rapeseed Lam et al. (2009) 2.27 1.92 Yee et al. (2009) 3.53 1.44
  • 25. Acknowledgement Thank you very much to Prof.Dr.Ir.Armansyah H.Tambunan,M.Agr, Dr.Ir.Abdul Kohar,M.Sc, Dr.Ir.Soni Solistia Wirawan,M.Ec, and Prof.Tetsuya Araki,Ph.D as my academic advisor in Bogor Agricultural university.
  • 26. CONCLUSION – When the productivity has reached stability, the GHG value is 1658.50 kg-CO2eq./ton- BDF_CPO and 740.52 kg-CO2eq./ton-BDF_CJCO. – The calculation on stable productivity is lower than unstable productivity. Where as there is 4/5 part or 20 years of 25 years of its life cycle (oil palm and Jatropha curcas) lies on this condition. Therefore, appropriate calculation method is needed. In some journals, the calculation is only performed in the first five years – Agro-chemical utilization such as fertilizer, insecticides, pesticides, and fungicides, produce significant contribution to environmental impact in biodiesel production. It is 50.46% for oil palm and 33.51% for Jatropha curcas. – The use of organic fertilizer is very influential in the reduction of GHG value impact in fertilization sub-process. It could reduce up to 96.2 % for oil palm and 76.8% for Jatropha curcas or for all life cycle could reduce up to 37.4 % for oil palm and 61.4% for Jatropha curcas – Using jatropha based biodiesel for electricity generation is still better than using other fossil fuel. – The energy input in oil palm is higher than Jatropha curcas as show by higher the NEB which is 146,948.08 and 39,334.79 for oil palm and Jatropha curcas, respectively and by lower the RI value which is 0.162 and 0.270 for oil palm and Jatropha curcas, respectively – Compared to diesel fuel, CO2 eq. Emission on its life cycle is reduced up to 49.27% and 73.06% for BDF_CPO and BDF_CJCO, respectively
  • 27. Thank you for your attention... Contact person : Dr.Kiman Siregar Agricultural Engineering Department of Syiah Kuala University Banda Aceh-Indonesia E-mail : ksiregar.tep@unsyiah.ac.id Mobile phone :+628128395848 iregar2004@yahoo.com; cell : 0812-8395848

Editor's Notes

  1. Thank you very much, I will present our research entitled with... Strategy to Reduce GHG Emission and Energy Fossil Consumption at Process Production of Biodiesel Using Catalyst From Crude Palm Oil (CPO) and Crude Jatropha Curcas Oil (CJCO), next...
  2. The outline is as follow : ...
  3. Point 3 : as we know... It’s one quation for this research
  4. It’s one quation for this research
  5. The life cycle is grouped into eight sub-processes : (1) Land preparation, (2) Seedling, (3) Planting, (4) Fertilizing, (5) Protection, (6) Harvesting, (7) Palm oil mills/Oil extraction, and (8) Biodiesel production The eight stages of the sub process is carried out for oil palm and Jatropha curcas
  6. This is boundary of research
  7. I take data from primary data and secondary data
  8. From this table we can see...., First, for Land preparation sub-process.....Like tractor, Second for Seedling sub-process... One of the reason is oil palm is more susceptible to plant pests than Jatropha curcas
  9. For harvesting sub-process, we can see from the table .... Eight, for Biodiesel production sub-process, we can see material and energy used that...
  10. From the picture it can be seen that... Most of the global warming emission comes from utilization of agrochemical in form of fertilizer and plant protection, which is 50.46% and 33.50% of the total for biodiesel produced from palm oil and jatropha curcas oil respectively And the percentage of fertilizing sub-proces for oil palm is 35.15% and for jatropha curcas is 29.49% It occurs because of the N compound and because the use of N2O has strong effects on GHG.
  11. From picture we can see that...
  12. Electric indonesia is dominated by Coal and Japan by Nuclear
  13. The total value of energy consumption before stable productivity for palm oil and Jatropha curcas is 49831.17 and 41730.03 MJ/ton-BDF, respectively From picture we can see that... However, energy consumption in the biodiesel production sub-process of jatropha curcas oil is higher than that of palm oil due to the higher free fatty acid (FFA) that needs esterification process prior to the transestherification process
  14. NER has positive values after production of the stable that 44NEB has positive value at the time of production of the stable with a value that is 146948.08 MJ for BDF-CPO and 39334.79 for BDF-CJCO RI it has value with a trend decline from production before stable and at the time of the production of stable it has value, namely 0.162 to BDF-CPO and 0.27 to BDF-CJCO Value NER to BDF-CPO is 1.0407 and 1.0415 to BDF-CJCO
  15. Penggunaan energi fosil BDF-CPO lebih tinggi dari BDF-CJCO : Nazir, et al. (2010) Penggunaan energi fosil BDF-CJCO lebih tinggi dari BDF-CPO : Achten et al. (2010) NOx menurun = Wirawan, 2009;, dan meningkat =Gomma (2011)