Gas Power Plant Operation Simulator using LabVIEW in Energy
Conversion Laboratory of Jakarta State Polytechnic
Andi Ulfiana
1
, Cecep Slamet Abadi
1
, P. Jannus
1
Jurusan Teknik Meisn, Politeknik Negeri Jakarta, Jl. Prof. Dr. G.A Siwabessy, Depok, Jawa Barat 16242, Indonesia
(andi.ulfiana, cecep.slametabadi, p.jannus)@mesin.pnj.ac.id
Keyword: Simulator, Gas Power Plant, LabVIEW
Abstract: Gas Power Plant (GPP) is a power plant that uses power produced by the combustion of fuel and high-
pressure air to turn a turbine that has been coupled with a generator to produce electrical energy. In this
research a GPP simulator software was created and validated using experimental data sets, therefore
operators can operate GPP safely and produce the desired output. This software simulator consists of virtual
instruments that include gas energy sources, combustion chamber, cooling system, generators, measuring
devices and controllers. The controller settings will affect the turbine performance. This simulator software
was made by using Datalogging and Supervisory Control (DSC) facilities from LabVIEW. It can be use to
understand the operation and behavior of gas turbines.
1 INTRODUCTION
One of the many power plants in the world
specifically in Indonesia is the GPP. Gas Power
Plant is a power plant that uses power produced by
the combustion of fuel and high-pressure air to turn
a turbine that has been coupled with a generator to
produce electrical energy. Energy recovery from
natural gas distribution network is a strategy for
sustainable energy in the urban area (Hooman
Golchoobiana, 2019).
The operation of a power plant requires more
human resources to be developed for the safe
operation of the power plant. Workforce training
uses hardware need a lot of money and can cause
work accidents and equipment damage if not done
carefully.
To increase the effectiveness of the work of a
company is need for proper planning on operational
(
Novi Gusnita, 2017). Users employing manual system
can cause considerable problems as well as
production disruption, leading to some serious
drawbacks (
Erwin N.D, 2017).
Several studies have been carried out by making
turbine gas model simulations to determine the
performance of turbine gas using math modeling
(Henrique GJ, 2017), the air conditioning system
will affect the performance of turbine gas
(Ejiroghene KO et al. 2016), turbine monitoring
parameters on thermal power usage using
MATLAB (M. Surekha, 2015), controlling boilers
and fans using LabVIEW (P. Hari Krishnan, 2014),
several identification methods for the laboratory
model of a thermal plant (P. Tapak M. Huba, 2016),
LabVIEW can be use to adjusting, monitoring and
controlling (Arun.P.R, 2014), to design, simulate
and optimize controller, acquire data, present
numerical display and store environment and
electrical parameter (Chokri B. A., 2015) and (Amit
Kumar Rohit, 2017).
LabVIEW allow to control the
object, carrying out the visualization of the process control
and analysis of measurement data
(Piotr Perz, 2017),
control, and image processing (Chen Shi, 2019),
design, simulate and optimize two-position
controller (Tomáš Uričaa, 2017), and make Virtual
Lab (Poorna chandra B R,2014)
From all this research will be developed by
making a simulator on Gas Power Plant.
.Operation of power plant must be satisfactory
before going into actual operation. The operation of
the power plant must be carried out properly
according to the SOP before the actual operation.
Energy Conversion Laboratory, Department of
Mechanical Engineering, Jakarta State Polytechnic
has Gas Power Plant produce by Cussons, which is
used for student, technician and lecturer practice and
research. The operation of this Gas Power Plant
requires quite a lot of gas fuel so it requires high
costs. In addition, the operation of Gas Power Plant
Ulfiana, A., Abadi, C. and Jannus, P.
Gas Power Plant Operation Simulator using LabVIEW in Energy Conversion Laboratory of Jakarta State Polytechnic.
DOI: 10.5220/0009872800002905
In Proceedings of the 8th Annual Southeast Asian International Seminar (ASAIS 2019), pages 57-60
ISBN: 978-989-758-468-8
Copyright
c
2022 by SCITEPRESS – Science and Technology Publications, Lda. All rights reserved
57
requires sufficient knowledge to be carried out
safely and the results are as expected. Therefore it is
necessary to make a Gas Power Plant simulator that
is used to train the skills to operate a virtual power
plant in accordance with the Standard Operating
Procedure (SOP). In this research Gas Power Plant
simulator software will look like Gas Power Plant in
Energy Conversion Laboratory of Jakarta State
Polytechnic. The software is made with Datalogging
and Supervisory Control facilities integrated with
LabVIEW. LabVIEW with a graphical programming
syntaxthatmakesitsimpletovisualize,create,and
codeengineeringsystems
It is expected that with this simulator software,
students, lecturers and technicians can conduct
training in the operation of gas turbines more easily
and can understand how to operate Gas Power Plant
correctly and safely.
The fundamental thermodynamic cycle of gas
turbine engines is the Brayton Cycle. Figure 1
shows, a gas turbine cycle. High pressure air from
compressor mixed gas fuel in combustion chamber
produces high temperature gas which is used to turn
the turbine. The turbine connected to the compressor
and generator by a rotating shaft. The shaft transmits
the power necessary to drive the compressor and
generator. It is important to recognize that the gas
turbine has a dual usage: It designates to drives the
compressor and the load. The turbine connected to
the generator by the simplest plant is the open
turbine gas cycle as shown in figure 1.
1. Air at room pressure and temperature is
compressed to a high pressure in the
compressor
2. Fuel is added in the combustion chamber
where combustion takes place resulting in
high-temperature combusted gases
3. The hot gases expand in the turbine back to
the atmospheric pressure producing
mechanical power
Main equation are :
1. Air compressor outlet temperature
:


(1)
Ambient temperature
Figure 1: Gas Turbine Cycle
 2 = Compressor spesification, depend on
compressor size
= Heat capacity ratio = 1,4
2. Compressor outlet pressure
:


(2)
Gas fuel pressure
3. Compressor power input
:


(3)
= Air flow
 = Heat capacity at pressure constant
4. The thermal energy produced by the
combustion chamber
is:


(4)

= 50000kJ/kg for LPG fuel
= Fuel Flow
5. The combustor outlet temperature
:


(5)
6. The turbine power inlet temperature
:

(6)
7. The turbine power inlet pressure
:


(7)
The combustion chamber pressure
8. The turbine power outlet temperature
:


(8)
ASAIS 2019 - Annual Southeast Asian International Seminar
58
9. The turbine power 

is:



(9)
10. The thermal efficiency of the plant
is:

(10)
2 MATERIAL AND METHOD
The method used is to observe the work of the Gas
Power Plant at the Energy Conversion Laboratory of
Jakarta State Polytechnic, collect measurement data,
create the gas power plant layout and create the gas
power plant program based on the layout that was
created. The program was made using Datalogging
and Supervisory Control (DSC) facilities from
LabVIEW software. At this stage the Front Panel
and Block Diagram design is carried out in
accordance with the work process of the gas power
plant in the Energy Conversion Laboratory of
Jakarta State Politechnic. This software simulator
consists of virtual instruments that include gas
energy sources, combustion chamber, cooling
system, generators, measuring devices and
controllers. The controller settings will affect the
turbine performance.
The simulator is operated based on the SOP of
Gas Power Plant in the Energy Conversion
Laboratory of Jakarta State Politechnic. This SOP is
listed on the simulator screen to make it easy for
users to operate this simulator.
All data from the simulator was stored in an
Excel table using the spreadsheet write facility from
LabVIEW.
3 RESULT AND DISCUSSION
Figure 2 shows front panel of GPP simulator. The
operation of GPP simulator starting by regulating the
gas fuel, turn on the oil pump as a cooler, turn on the
compressor to produce high pressure air, then
igniting the ignition to carry out the fuel combustion
process. The result of combustion in the form of
high temperature gas will rotate the turbine. The
generator that coupled with the turbine will rotate
hence produces electricity.
Figure 3 shows block diagram of GPP simulator.
Figure 2: Gas Power Plant Simulator Front Panel
Figure 3: Gas Power Plant Simulator Block Diagram
4 CONCLUSION
The GPP simulator shows the interaction between
the energy source, combustion process, gas turbine,
virtual instrument and control. The Gas Power Plant
simulator software was created and validated using
experimental data sets, to produce the desired
output. This software simulator consists of virtual
instruments that include gas energy sources,
combustion chamber, cooling system, generators,
measuring devices and controllers. The controller
settings will affect the turbine performance.
REFERENCES
Hooman Golchoobiana, Mohammad Hasan Taherib,
Seyfolah Saedodina, 2019, Thermodynamic analysis
of turboexpander and gas turbine hybrid system for
gas pressure reduction station of a power plant,
Thermal Engineering Journal , 14.
Novi Gusnita, Kaudir Saputra Said, 2017, Analisa
Efisiensi dan Pemanfaatan Gas Buang Turbin Gas
Alsthom Pada Pembangkit Listrik Tenaga Gas
Kapasitas 20 MW, Jurnal Sains, Teknologi dan
Industri, 14(2), pp.209 - 218
Erwin Nur Diansyah, M. Chasrun Hasani, Amrul Faruq,
2017, Application Monitoring Design of Water Tank
Gas Power Plant Operation Simulator using LabVIEW in Energy Conversion Laboratory of Jakarta State Polytechnic
59
Volume and Clarity System Using LabView NI
MYRIO, KINETIK, 2(4), pp.309-318
Ejiroghene Kelly Orhorhoro, Oghenero Wilson
Orhorhoro , 2016, Simulation Of Air Inlet Cooling
System Of A Gas Turbine Power Plant, Elk Asia
Pacific Journal Of Applied Thermal Engineering,
1(2).
Henrique G.J., Cleverson B., Joao R.B., Jesuino T.T.,
2017. Real-Time Gas Turbine Model for Performance
Simulations, Journal of Aerospace Technology and
Management, 9(3), pp. 346-356.
M. Surekha, N. Suthanthira Vanitha, K. Yadhari, 2015,
Real Time System Based Monitoring of Turbine
Parameters and Protection System in Thermal Power
Plant. International Journal of Science, Technology
and Society, 3(3), pp. 69-75.
P. Hari Krishnan, V.Ramprasadh, 2014, Controlling
Power Plant Boiler And Draft Fan Using LabVIEW
International Journal of Research in Engineering and
Technology, 3(7), pp.693-697.
Tony Giampaolo, MSME, PE, 2006, Gas Turbine
Handbook: Principles and Practices, 3rd Edition, The
Fairmont Press, Inc,
Arun.P.R., Manoj Radhakrishnan2, Dr.Azha Periasamy3,
Dr. S. Muruganand, 2014, Monitoring of Fuel Supply
in Power Plant Boilers using LabVIEW, International
Journal of Advanced Research in Electrical,
Electronics and Instrumentation Engineering, 3(9)
P. Tapak M. Huba, 2016, Laboratory Model of Thermal
Plant Identification and Control, IFAC-PapersOnLine
49-6
Chokri Belhadj Ahmeda, Mahmoud Kassasa, Syed
Essamuddin Ahmed, 2015, LabVIEW Based PV Panel
Online Characteristics And Parameters Estimation ,
Procedia Computer Science 52, Published by Elsevier
B.V.
Tomáš Uričaa* Anna Simonováa, 2017, Simulation of an
on-off controller for systems of second order with the
use of LabVIEW, Procedia Engineering, 192 ( 905 –
910).
Piotr Perz, Ireneusz Malujda, Dominik Wilczyński, Paweł
Tarkowski, 2017, Methods of controlling a hybrid
positioning system using LabVIEW, Procedia
Engineering, 177 (339 – 346).
Chen Shi, Jianlong Zhang, Guanghui Teng, 2019, Mobile
measuring system based on LabVIEW for pig body
components, Computers and Electronics in
Agriculture Journal, 156 (399-405).
Amit Kumar Rohit, Amit Tomar, Anurag Kumar, Saroj
Rangnekar, 2017, Virtual lab based real-time data
acquisition, measurement and monitoring platform for
solar photovoltaic module , Resource-Efficient
Technologies, Journal, 3, 446–451.
Poorna chandra B R, Geevarghese K P, K V Gangadharan,
2014, Design and implementation of Remote
Mechatronics Laboratory for e-Learning using
LabVIEW and Smartphone and Cross-Platform
Communication Toolkit (SCCT), Procedia
Technology 14 , 108 – 115
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