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STUDY ON EFFECTIVENESS OF COMMERCIAL 
AND RESIDENTIAL NATURAL GAS ODORISATION 
SYSTEM IN PENINSULAR MALAYSIASYSTEM IN PENINSULAR MALAYSIA
SIMULATION STUDY:
CFD AND FLACS RESULTSCFD AND FLACS RESULTS
UTM‐MPRC Institute  for Oil and Gas
( OG)
Tuesday, 29th October, 2013
(IFOG)
UniversitiTeknologi Malaysia
y 9 3
ST Office
COMPUTATIONAL FLUID ANALYSIS 
(CFD) RESULTS(CFD) RESULTS
Simulation at Selected Pre‐Determined Condition
2
Figures 6.1 and 6.2 below illustrate a simple 
horizontal main pipe with  two sets  of  branch pipe 
gas layout arrangement, i.e. vertical and horizontal, 
that has been modelled to simulate  gas transport  
of natural gas (i e methane) and odorant vapourof  natural gas (i.e. methane) and odorant vapour 
(80 wt% TBM and 20 wt% DMS) mixture. 
3
Figure 6.1:  
A Horizontal 
Branch Gas 
Pipe Layout
Figure 6.2:  
A Vertical 
Branch Gas 
Pipe Layout
4
• Table 6.1 below summarises the average mass fraction of TBM and 
DMS measured at the gas exit points of main pipe and of two branch 
pipe gas models i e vertical branch and horizontal branchpipe gas models, i.e. vertical branch and horizontal branch. 
• Natural gas and odorant flow rates were set at 0.25 kg/s and 0.0025 
kg/s, respectively, thus simulating 1 % of odorant concentration (i.e. 
average mass fraction of 0.0099 kg odorant/kg gas mixture) in 
flowing gas. T
• he outlet gas flow rates at the main and the branch were set at 90 % g f
and 10 % of the inlet gas flow, respectively. 
• The simulation was performed assuming high flow gas conditions 
with steady state flow standard k e turbulent model and default CFDwith steady‐state flow, standard k‐e turbulent model and default CFD 
values.
5
Table 6.1: Average Mass Fraction of TBM and DMS *
Average Mass Fraction at Gas Outlet
(k d t/k t l d t i t )
Table 6.1: Average Mass Fraction of TBM and DMS 
Reference 
(kg odorant/kg natural gas‐odorant mixture) 
TBM DMS
Main
(Horizontal)
Branch 
(Vertical)
Branch 
(Horizontal)
Main
(Horizontal)
Branch 
(Vertical)
Branch 
(Horizontal)
Figure 6.1 0.00812 0.00766 0.00203 0.00192
Figure 6.2 0.00826 0.00510 0.00207 0.00127
* (Simulated High Gas Flow ; the outlet gas flow rates at the main and the branch 
were set at 90 % and 10 % of the inlet gas flow, respectively)
6
• Comparison of the average mass fraction of TBM at the main and 
branch outlets for both pipe layouts clearly show higher TBMbranch outlets for both pipe layouts clearly show higher TBM 
concentration at the former, thus indicating more odorant being 
transported along a horizontal pipe at a high gas flow rate. 
Th f ti f TBM f th i tl t f b th i• The average mass fraction of TBM for the main outlet of both pipe 
layouts is quite similar, however higher TBM concentration at the 
horizontal branch is demonstrated. This again shows the significant 
effects of higher TBM specific gravity and pipe elevation on theeffects of higher TBM specific gravity and pipe elevation on the 
odorant distribution pattern. 
• Detailed explanation for this phenomenon has been discussed in 
h i i Th h i l d dthe previous section. The same phenomenon is also demonstrated 
for DMS. 
7
• Table 6.2 below summarises the average mass fraction of TBM 
and DMS measured at the gas exit points of main pipe and of 
two branch pipe gas models, i.e. vertical branch and horizontaltwo branch pipe gas models, i.e. vertical branch and horizontal 
branch. 
• Natural gas and odorant flow rates were set at 0.25 kg/s and 
0 0025 k / ti l th i l ti 1 % f d t0.0025 kg/s, respectively, thus simulating 1 % of odorant 
concentration (i.e. average mass fraction of 0.0099 kg 
odorant/kg gas mixture) in flowing gas. 
• The outlet gas flow rates at the main and the branch were set 
50 % and 50 % of the inlet gas flow, respectively. 
• The simulation was performed assuming high flow gasThe simulation was performed assuming high flow gas 
conditions with steady‐state flow, standard k‐ε turbulent 
model and default CFD values.
8
Table 6.2: Average Mass Fraction of TBM and DMS *
Average Mass Fraction at Gas Outlet
(kg odorant/kg natural gas‐odorant mixture)
g
Reference
(kg odorant/kg natural gas‐odorant mixture) 
TBM DMS
Main
(Horizontal)
Branch 
(Vertical)
Branch 
(Horizontal)
Main
(Horizontal)
Branch 
(Vertical)
Branch 
(Horizontal)
Figure 6.1 0.00797 0.00834 0.00199 0.0021
Figure 6.2 0.00827 0.00813 0.00207 0.00203
* (Simulated High Gas Flow; The outlet gas flow rates at the main and the 
branch were set at 50 % and 50 % of the inlet gas flow, respectively)
9
• Comparison of the average mass fraction of TBM at the main 
and branch outlets for both pipe layouts  clearly show  
i l id i l l h i di i if TBMapproximately identical values, thus indicating uniform TBM 
concentration were present in  both horizontal and vertical 
pipes.  
• The average mass fraction of TBM and DMS at the both branch 
outlets was higher, in particular TBM at vertical branch outlet, 
than that as compared the predicted values in Table 6.1. 
• This  shows that as long as the gas flow rate are high enough to 
carry the odorant along with  natural gas, the effects of  pipe 
elevation on the odorant distribution pattern is insignificant. 
• Detailed explanation for this phenomenon has been discussed 
in the previous section.
10
• Table 6.3 below summarises the average mass fraction of TBM 
and DMS measured at the gas exit points of main pipe and of 
b h i d l i i l b h d h i ltwo branch pipe gas models, i.e. vertical branch and horizontal 
branch. 
• Natural gas and odorant flow rates were set at 0.025 kg/s and 
0.00025 kg/s, respectively, thus simulating 1 % of odorant 
concentration (i.e. average mass fraction of 0.0099 kg 
odorant/kg gas mixture) in flowing gas. 
• The outlet gas flow rates at the main and the branch were set 
at 90 % and 10 % of the inlet gas flow, respectively. 
• The simulation was performed assuming low gas flow p g g
conditions, steady‐ state flow, laminar model and default CFD 
values.
11
• Comparison of contours of TBM mass fraction in Figures 6.3 ‐ 6.6 show 
more uniform odorant concentration for horizontal branch compared to  
the vertical branch. 
bl f d *Table 6.3: Average Mass Fraction of TBM and DMS *
Average Mass Fraction at Gas Outlet
/
Reference
(kg odorant/kg natural gas‐odorant mixture)
TBM DMS
Main Branch Branch Main Branch BranchMain 
(Horizontal)
Branch 
(Vertical)
Branch 
(Horizontal) (Horizontal)
Branch 
(Vertical)
Branch 
(Horizontal)
Figure 6.1 0.00783 0.00365 0.00196 0.000912
Figure 6.2 0 00515 2 17e‐08 0 00129 5 4e‐09Figure 6.2 0.00515 2.17e 08 0.00129 5.4e 09
* (Simulated Low  Gas Flow; The outlet gas flow rates at the main and the branch 
were set at 90 % and 10 % of the inlet gas flow, respectively)
12
f g f , p y)
• Comparison of the average mass fraction of TBM at the main outlet 
for both pipe layouts  clearly show  higher TBM  concentration  at the 
former, thus indicating more odorant being transported along aformer, thus indicating more odorant being transported along a 
horizontal pipe  at a lower  gas  flow rate. 
• The most interesting results from the simulation are the marked 
difference in TBM and DMS concentrations for the horizontal and 
vertical branch outlets. 
• Significant levels of TBM and DMS are predicted to be present at the 
horizontal branch outlet, however, virtually no TBM and DMS is , , y
present at the vertical branch outlet.  
• This again shows the significant effect of higher odorant specific 
gravity and pipe elevation on the odorant distribution pattern. 
Detailed explanation for this phenomenon has been also discussed in 
the previous section.
13
• Table 6.4 below summarises the average mass fraction of TBM 
and DMS measured at the gas exit points of main pipe and of 
two branch pipe gas models, i.e. vertical branch and horizontal 
branch. 
• Natural gas and odorant flow rates were set at 0.025 kg/s and a u a gas a d odo a o a es e e se a 0 0 5 g/s a d
0.00025 kg/s, respectively, thus simulating 1 % of odorant 
concentration (i.e. average mass fraction of 0.0099 kg 
odorant/kg gas mixture) in flowing gas. / g g ) g g
• The outlet gas flow rates at the main and the branch were set 
50 % and 50 % of the inlet gas flow, respectively. 
• The simulation was performed assuming low gas flow• The simulation was performed assuming low gas flow 
conditions, steady‐ state flow, laminar model and default CFD 
values
14
Table 6.4: Average Mass Fraction of TBM and DMS *
Reference
Average Mass Fraction at Gas Outlet
(kg odorant/kg natural gas‐odorant mixture) 
TBM DMSReference TBM DMS
Main
(Horizontal)
Branch 
(Vertical)
Branch 
(Horizontal)
Main
(Horizontal)
Branch 
(Vertical)
Branch 
(Horizontal)
Figure 6.1 0.0085 0.0081 0.0021 0.002
Figure 6.2 0.01357 0.0005 0.0034 0.00014
* (Simulated Low Gas Flow; The outlet gas flow rates at the main and the branch 
were set at 50 % and 50 % of the inlet gas flow, respectively)
15
CFD Conclusion
• The most interesting results from the simulation is the marked increase in TBM 
and DMS concentrations for the horizontal and in particular vertical branch 
outlets as compared to the values in Table 6.3. 
• This again shows the significant effect of gas flow condition on the odorant 
distribution pattern. Detailed explanation for this phenomenon has been also 
discussed in the previous section.
• The analysis of CFD simulation data significantly supports the odorant 
measurement during the site visit in July and September 2012. 
• Two very important factors, i.e. gas consumption rate and pipe gas elevation, 
which contribute to significant odorant fade especially in pipe gas supply line at 
high rise buildings such as at Hampshire Park (Ampang) and Harmony Putra 
Flats (Putra Jaya) have been identified experimentally and computationally. 
h l h l d h l• Nevertheless, the CFD simulation indicate that gas consumption rate play a 
more important role as compared to pipe elevation, i.e. as long as gas 
consumption rate is high enough, adequate odorant concentration levels can 
be achieved eventhough at high elevation point of consumption
16
be achieved eventhough at high elevation point of consumption.
FLAME ACCELERATION SIMULATOR 
(FLACS) RESULTS( )
Case 1: Glenmarie Horizontal Dispersion
Simulation at Selected Pre‐Determined Condition
17
Figure 7.1:  The Overall Piping Configuration from Glenmarie 
odorization Station to Hampshire Park Residence
18
Figure 7.2:  The Overall 
Monitor Points for the Case 
Study Adopted
19
20
Figure 7.4:  Pressure, P and Mole concentration 
FMOLE profile on Time Step 
21
22
FLAME ACCELERATION SIMULATOR 
(FLACS) RESULTS(FLACS) RESULTS
Case 2 : High‐Rise Building Dispersion
Simulation at Selected Pre‐Determined Condition
23
24
Figure 7.7:  Monitor Points of Pipe Configuration
Figure 7 8: Fuel Pressure and VVEC
25
Figure 7.8:  Fuel, Pressure and VVEC 
Profile in a Step Time  at t = 0 s
26
Figure 7.9, Pressure and VVEC Profile in a Step 
Time at t = 4.985 s 
Figure 7.10:  Monitor points for 15 m Height Building
27
28
Figure 7.11a : Fuel, Pressure and VVEC Profile in a 
Step Time at t = 0 s  for 15 m height building
29
Figure 7.11b : Fuel, Pressure and VVEC Profile in a Step Time at 
t = 5.034s  for 15 m Height Building
Comparison between 15 and 45‐m height building
Solution for Odor Fade System
•The various factors which affect odorant losses from gas streams in steel 
pipe include temperature, pressure, gas flow rate and iron oxide 
concentrationconcentration.  
•Generally, the lower the temperature, the greater the odorant loss. This 
is explicable since the rate of adsorption of gaseous molecules is inversely 
proportional to temperature [6]proportional to temperature [6]. 
•Adsorption is directly proportional to pressure at constant temperature. 
Thus, higher line pressures result in additional adsorption of odorant 
l lmolecules. 
•At higher flow rates the diffusion of odorant molecules to a pipe surface 
is less probable, resulting in decreased adsorption and possible 
subsequent oxidation of the odorant molecules at active sites. 
•The iron oxide concentration is a function of the cleanliness of pipe.  The 
cleaner the pipe the smaller the iron oxide concentration. 
31
In order to justify the hypothesis given in literature, simulations 
were conducted by varying pressure and flow as follows: 
•For 15‐m height building;For 15 m height building; 
F 45 h i h b ildi•For 45‐m height building; 
32
Figure 7.14a:  Pressure Variation at 
Mass Flow rate of 144 m3/hr at 15‐m 
height
P = 0.344 bar
P = 0.138 bar
Figure 7.14b:  Pressure Variation at 
Mass Flow rate of 144 m3/hr  at 15‐m 
height
33
Figure 7.14c:  Pressure Variation at Mass Flow rate of 144 m3/hr at 15‐m 
height
34
Figure 7.12:  Mass Flow Rate 
Variation at 0.36 m3/hr at 15‐m 
height
Figure 7.13a:  Mass Flow Rate Variation at 10.8 
3/m3/hr at 15‐m height
35
Figure 7.13b:  Mass Flow Rate Variation at 3.6 m3/hr at 45‐m height
Figure 7.13c:  Mass Flow Rate Variation at 10.8 m3/hr 
at 45‐m height
36
Figure 7.13d:  Mass Flow Rate Variation at 144 m3/hr s at 45‐m 
height
37
FLACS C l iFLACS Conclusion
•Simulation exercise has been conducted on cases concerning the odor 
fade in natural gas pipeline distribution system within Lembah Kelangfade in natural gas pipeline distribution system within Lembah Kelang 
regional area. 
•Three cases were investigated involving the wide area coverage to include 
the distribution system for Glenmarie and Serdang odorization Stations; 
and case involving high rise building. 
A d t b t di t d lt d i it t f•A good agreement between predicted results and in‐situ measurement of 
dispersion profile of odorant in gas pipeline was obtained. 
•By increasing the gas flow rate in upward sloping pipes, an increasingly y g g p p g p p g y
fine balance between the frictional and gravitational contributions to the 
loss of momentum.
38
OVERALL CONCLUSION
The overall conclusion derived on the factual findings via site f f g
measurement, CFD and FLACS analyses
39
The following conclusions are deduced from detailed findings 
and factual outcomes obtained from the study conducted y
from 1st May, 2012 till 31st December, 2012:
•The odorant concentration was found sufficient at odoriser 
t ti (Gl i ’ d S d ’ l ti ) d idstations (Glenmarie’s and Serdang’s location) and provide 
adequate sufficiency up to service stations.
•Two important factors were identified to have direct effectTwo important factors were identified to have direct effect 
towards odorant loss namely rate of gas consumption and 
altitude level.  However, the rate of gas consumption is 
considered as dominance in contributing highest losses ofconsidered as dominance in contributing highest losses of 
odorant.
40
• At a lower gas flowrate the loss of odorant is most significant at 
high elevation consumption point especially at high‐rise 
residential building.
• From survey conducted, the majority of high‐rise residential gas 
customers are under utilise the gas facilities that contribute 
towards lower gas consumption ratetowards lower gas consumption rate.
• The findings indicate that the present odorant concentration at 
80 % TBM and 20 % DMS provides adequate natural gas 
odorization.
• The CFD results qualitatively indicate good agreement with the 
site‐measurement data.site measurement data.
• The effect of altitude changes towards odorant losses was 
demonstrated clearly by means of FLACS simulation results.    
41
High flow or active gas lines (e.g. SS, RS or AS) experience g g g , p
lower % odorant loss. In addition, the magnitudes of 
odorant loss between gas stations are quite significant.
Odorant loss is more prevalent in residential areas where Odorant loss is more prevalent in residential areas where 
gas consumption rates are relatively lower compared to 
commercial areas.
Comparison of % odorant loss at different levels of 
medium (DMC) and high rise flat (PHF) or condominium 
(SHC) shows the combined effects of low gas consumption 
and high altitude contribute to even higher odorant loss.
42
RECOMMENDATION
The overall conclusion derived on the factual findings via site f f g
measurement, CFD and FLACS analyses
43
• Since the gas lower consumption rates are experienced by the 
majority of the high‐rise building residential customers, it is 
hi hl d d th t h id ti l t it bhighly recommended that each residential customers unit be 
installed with natural gas leak detection system.
• It is recommended that further study need to be conducted by y y
the gas utility company (GMB) to look upon possibility of 
installing Back‐Checked Valve along the pipe route in high‐rise 
building to provide better retention of odorant at higher levelbuilding to provide better retention of odorant at higher level 
altitude. 
• Extra injection be introduced at level higher than 15‐storey, 
perhaps located at the roof side of the building.
44
I i d d h h f i i h ld b d i d• It is recommended that the future piping system should be designed 
with no dead‐end connectivity as such the gas will be trapped and 
remains stagnant should there be no significant consumption. By 
having continuous pipe connection with more active customers 
further downstream, the gas is expected to induce sufficient steadily 
amount of odorant in the pipe flow regime. 
• To integrate scheduled monitoring of odorant levels especially at 
high‐rise building residential customers.
• To increase the level of usage among high‐rise building residence 
occupants through continuous promotion of natural gas integrated 
safety and its continuous benefit. 
• The use of CFD and FLACS software could provide additional niche in 
determining in‐line odorant dispersion and losses at critical region.
45
C O G SACKNOWLEDGEMENTS
The group is extending its sincere gratitude to the Energy Commission 
(EC) for providing great management and financial  assistance, the 
staff of Gas Malaysia Berhad (GMB) for their commitment, 
coordination and enabling data sharing, the staff and project g g, ff p j
members of GASTEG for their full dedication, enthusiasm, hard‐
working, discipline and efforts that had enabled the completion of 
the project.
46
THANK YOU

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