Published at : 21 Jul 2020
Volume : IJtech
Vol 11, No 3 (2020)
DOI : https://doi.org/10.14716/ijtech.v11i3.2710
Arief Abdurrakhman | Department of Instrumentation Engineering, Institut Teknologi Sepuluh Nopember, Kampus ITS Sukolilo, Surabaya 60111, Indonesia |
Totok Soehartanto | Department of Instrumentation Engineering, Institut Teknologi Sepuluh Nopember, Kampus ITS Sukolilo, Surabaya 60111, Indonesia |
Herry Sufyan Hadi | Department of Instrumentation Engineering, Institut Teknologi Sepuluh Nopember, Kampus ITS Sukolilo, Surabaya 60111, Indonesia |
Mohammad Berel Toriki | Department of Engineering Physics, Institut Teknologi Sepuluh Nopember, Kampus ITS Sukolilo, Surabaya 60111, Indonesia |
Bambang Lelono Widjiantoro | Department of Engineering Physics, Institut Teknologi Sepuluh Nopember, Kampus ITS Sukolilo, Surabaya 60111, Indonesia |
Bambang Sampurno | Department of Industrial Mechanical Engineering, Institut Teknologi Sepuluh Nopember, Kampus ITS Sukolilo, Surabaya 60111, Indonesia |
Currently, biogas as an alternative fuel has been widely used in the
community, including in lamps and biogas stoves. There has
been a surplus of biogas in some production regions due to a relatively small
need for biogas fuel. So that most biogas users utilize the surplus to become generator
fuel. Yet, in the application there is a drawback, namely the instability of
the electric power generated per unit time. This is caused by not achieving the
optimal water-fuel ratio because the volume of biogas production from the
reactor is fluctuating based on the volume of raw material, such as processed
cow dung. Therefore, a control method using a PID Controller is
constructed to determine the best value of the AFR on a dual fuel generator.
The objective is to generate an optimal output of electric power. The generator set is a
tool used to generate energy or electrical power. The electric power generated
by the generator set used to supply the electrical loads in this research are
lamps. Power produced by a generator set ranges from 100 to 1200 watts. The power
generated by the generator set is affected by a mixture of air and fuel. The
generator set is dual fuel. From the results of this study, a stable response
with an overshoot value is below 0% and its error is 2%. In addition, the best-obtained
value of the AFR is 15.06.
Furthermore, the stability of the power generated by the generator set is also
influenced by the flow rate mass of the fuel injected into the combustion
chamber. From the simulation results, when given a power set point at 1200
watts, the obtained value of the air mass flow rate is 0.03754 kg/s, the mass
flow rate of biogas is 0.002367 kg/s, and the gasoline constant mass flow rate
is 0.000125 kg/s. Meanwhile, when given a set point of 100 watts and a value of
0.009928 kg/s air mass flow rate is injected into the chamber, the mass flow
rate of biogas is 0.0005341 kg/s, and the mass flow rate of gasoline is
0.000125 kg/s. In this research, the value of AFR for complete combustion on a
dual fuel system is 15.06. The results have shown that the PID Controller has
been successfully implemented to regulate AFR, and the generator output of
power can be constant.
Air ruel ratio; Biogas; Generator; PID control system
Surges in world oil prices are caused by the rising costs of fossil fuels. On the other hand, global environmental issues that demand high levels of environmental quality encourage various energy experts to develop more environmentally friendly energy and support sustainable energy supply security. Currently, fossil fuel energy reserves are nearly depleted and it is difficult to research new sources. Moreover, in 2030, Indonesia will truly become a net importer of energy because a balance between production and domestic energy consumption will occur. Starting this year, the production of domestic energy (fossil fuel and renewable energy) is no longer able to meet domestic consumption, and Indonesia has changed its status to a net importer of energy (BPPT, 2015).
This means renewable energy development is growing.
Indonesia, especially, has huge potential for it. Fossil fuels fulfill a major
part of the world's energy demand. Higher demand for energy, depletion of
fossil fuels, and environmental impacts are the key motivational factors for
exploring alternative energy sources (Khatri and Khatri, 2020). Based
on the geographic state, Indonesia is abundant with a high amount of energy
resources, ranging from hydro, geothermal, biomass, solar, wind, and oceanic sources. Unfortunately, such property has not been widely used
as energy sources that could replace the fossil fuel-based energy sources that
are nearly depleted. Renewable energy resources are increasingly being used to cover the
electricty grid demands in many countries. A current
theoretical question that is interesting in terms of introducing a long-term
perspective, pertains to what an energy supply from exclusively renewable energy resources could look like.
Amounts of fuel from bioenergy are assumed to be annually available. This amount is derived
from a study on bioenergy from agricultural waste conducted by GIZ (Günther, 2018). The
development of biogas in Indonesia is still relatively slow due to various
factors, ranging from people who are still not comfortable with dirt as an
energy source to biogas purification problems and the
implementation of the generator set (Abdurrakhman &
Soehartanto, 2014). Nowadays, in many industrialized countries, the
conversion of municipal organic or solid waste to biogas has become popular in
recent years as a sustainable technology that can produce green energy and
electricity (Tetteh et al., 2018). In
Indonesia, biomass generally has the potential to be used for long-term balancing
of society’s demand. The biomass itself can be stored for a certain amount of
time and place, and the secondary energy carrier (e.g., biogas) can be stored
for a very long time (Günther, 2018). Currently, the Indonesian
government has been anticipating the development of Distributed Renewable
Energy Generation (DREG) using environmentally friendly energy sources for
local electrical energy supplies and has developed local sources of renewable
energy (Nazir et al., 2016).
Based on data from the Directorate General of Livestock and Animal
Health, the number of beef cattle in 2015 reached 15 million. One cow is able
to produce manure 23.6 kg of solid waste a day and 9.1 kg or liquid waste a day
(Setiawan, 2002). One kg of cow or buffalo manure can produce 0.023 to
0.040 m3 of biogas (Stewart et al., 2007). The process of biogas production depends many factors in environment (Abdurrakhman et al., 2018). Therefore, the maximum
potential value of biogas produced by manure is as high as 14.16 million m3/day.
The methane amount is 9,912 million m3/day and CO2 is
4,248 million m3/day. In other words, within a year, Indonesia will
contribute 1.55 billion m3 CO2 or the equivalent of 2.77
million tons per year. Indonesia will also contribute the amount of 3.617
billion m3 methane, equivalent to 6,466 million tons per year. The
effect of methane gas is equivalent to 21 times the CO2 of
greenhouse gases. The contribution of methane gas will be equivalent to 135.8
million tons of CO2 per year. It means that by the addition of these
gasses in the atmosphere, methane gas is equivalent to 135.8 million tons worth
of CO2 gasses a year. Levels of H2S contained in the
biogas can be harmful to users because at levels of more than 500 ppm, biogas
can cause lung damage and even lead to death (Noyola et al., 2006).
Currently, several biogas purification methods have been developed. The
methods are absorption, adsorption, cryogenic, membrane, and carbon
mineralization technology (O’Brien, 1991).
Literally, the gas-liquid absorption method with a water scrubber system is a
priority among biogas purification applications because its main ingredient is
water, which can be relatively cheap, available, and environmentally friendly (Budzianowski
et al., 2017). If water temperature is between 10-20°C, CO2 gas solubility level is between
2.5 to 1.6 g per kg of liquid gas. Meanwhile, within the same temperature
range, it will be able to dissolve the H2S gas
at 5.5 to 3.9 g per kg of liquid gas (Medard, 1976).
A dual fuel generator set is a
standard gasoline engine with biogas fuel added in its combustion chamber. The
engine’s ignition is powered by a gas spray called pilot
fuel. In other words, liquid or gaseous fuels can be injected into the engine
by making a hole in the intake manifold of the engine itself. When the type of
added fuel typs is liquid, such as ethanol or methanol, carburetor is added to
the system. This makes the fuel pump at a certain pressure and become atomized
as the fuel is injected into the air intake. As for the fuel gas, it is
not needed anymore since the gas fuel carburetor already has its own pressure (Setiawan,
2002). Hotta et al. (2019) explored the potential of raw biogas as
an alternative and standalone fuel for gasoline-fueled spark
ignition (SI) engines. A single cylinder spark
ignition engine is operated with both gasoline and raw
biogas at a compression ratio of
10 under wide open and part-throttle conditions. The baseline test is performed
with gasoline, and subsequent experiments are carried out with raw biogas. The
engine performance, combustion, and emission parameters are measured over a
range of speed variations (1450–1700?rpm). A comparative analysis of the result
showed 18% of reduction in brake power, 66% increase in brake specific fuel consumption, and
12% reduction in brake thermal efficiency when the engine is fueled with raw
biogas. Ambarita et al. (2017) concluded that the output power and specific fuel consumption of the Compression
Ignition (CI) engine ran in dual-fuel mode are higher than the CI engine ran in
pure diesel mode. The brake thermal efficiency of the CI engine ran in
dual-fuel mode was strongly affected by the biogas flow rate and methane
concentration. An optimum biogas flow rate for a maximum brake thermal
efficiency exists. The biogas can reduce the diesel
fuel consumption significantly.
A dual
fuel system’s advantages include conserving the use of gasoline as fuel,
production costs that can be minimized, and generator set modification costs
are relatively cheaper than converting to a whole gas engine. Furthermore, the
application of biogas with a dual fuel system on the generator set can improve
the performance and efficiency of the engine (Bastida
et al., 2017). The utilization of a biogas generator set will not change
the composition of machine tools and only add to the system equipment, such as
a mixer venturi on the suction channel. The use of dual fuel intended to reduce
the use of gasoline in the combustion process would entail a partial
substitution of gasoline by biogas. Verma et al.
(2019) performed an experimental investigation on a diesel-biogas dual
fuel (DF) engine based on energy and exergy analyses. The analyses included the
effects of change in the compression ratio (CR), exhaust gas recirculation
(EGR), and EGR temperature on the performance and emission characteristics of a
DF engine. The results showed that the highest efficiencies at both low and
high loads were obtained with hot EGR cases. At the same time, exhaust
emissions could also be kept in check. Mixing biogas as engine fuel was studied
by Verma et al. (2017) to determine the
effect of variations in the composition of biogas on the performance of diesel
engines for dual fuels using exergy analysis. The variation of biogas
composition was 93% (BG93), 84% (BG84), and 75% (BG75). The AFR produced is
22.47 for BG 93, 16.77 for BG84, and 13.49 for BG75. In another study, de Faria et al. (2017) conducted a thermodynamic
model to predict the performance of a spark ignition engine using biogas fuel.
Moreover, it was concluded that the increased load results in a higher engine
airflow that increases power output at a constant engine speed, which is
greater than fuel consumption, resulting in a smaller overall specific fuel
consumption (sfc). In addition, the simulation states that spark timing has
opposite effects at NOx and sfc levels.
A generator set using a dual fuel system still needs a lot of work in
the development phase. One of the items is the generator set’s output power
controls. The generator set’s output power control needs to be designed so that
the generator set is able to produce a maximum and stable output of power in
accordance with daily electricity needs. In order to make the generator produce
a stable output of power for demand, the mass flow rate of fuel and air in the
combustion chamber of the engine should be consistent with the required power
demand. If more power from the generator’s output is required, then the mass
flow rate of air and fuel (petrol and biogas) entering the combustion chamber
will also be getting bigger. Additionally, the mixture of fuel and air must be
in accordance with combustion reaction rules. Therefore, to obtain optimum
combustion, the calculation of the AFR is performed by
stoichiometric equation.
The main objective of this study is the determination of flow rate
values ??from air, biogas, and gasoline based on the standard AFR value. The
results of this study are expected to be utilized by biogas users who will use
it as a mixed fuel in the engine to produce electricity. This needs to be
analyzed so that the use of biogas can be optimal, especially in certain
production areas that leverage livestock manure. In some of these areas, biogas
production is usually only used for biogas lamps and stoves, while the rest of
the production is not utilized properly, even though electricity demand is
relatively high.
The desired design in this system is the value of a stable output of
power in accordance with a given load. In this system, there is a non-linear
function that is connected between pressure input and output on the throttle
valve. For a non-linear system, there are many methods used to control
disturbance, feedback stabilization, and performance enhancements, such as
research by Humaidi et al. (2019) that uses an extended state
observer (ESO). It produced smaller peaking and had immunity against
measurement noise and parameter variations. A non-linear controller has also
been used to control the angle of the roll channel for delta wing aircraft with
the presence of wing rock phenomenon using the Lyapunov method and the
zero-convergence with a MATLAB simulation (Humaidi et al., 2019). In some
more complex plants, an active disturbance rejection control (IADRC) is needed
to overcome disturbances and uncertainties and outperform systems (Najm and
Ibraheem, 2020).
Non-linear systems can also use non-linear PID (NPID). The NPID control
has been found in two categories of applications: (1) Non-linear systems, where
NPID control is used to accommodate the non-linearity, usually to achieve
consistent responses across a range of conditions for the system; (2) Linear
systems, where NPID control is used to achieve performance not achievable by a
linear PID control system, such as increased damping, reduced rise time for
step or rapid inputs, and improved tracking accuracy (Su et
al., 2005). Non-linear PID controllers are divided into two
categories: first, the controller gain is directly related to the magnitude of
the state. Second, it uses phases, such as a parameter to modify this
controller gain (Abdul-Adheem
et al., 2017). In this paper, the PID controller is used to
maintain the stability of the power generated by the generator set, and the
performance of the control system is analyzed.
Based on the results of this research, a stable output power
response occurs with an overshoot maximum value that average below 20% and an
error value below 2% in each of the set point values between 100-1200 watts. In
addition, the PID parameter values are Kp = 120, Ki = 0.1, and Kd = 15.2.
The PID parameter values ??for the flow rate control of biogas are Kp = 5, Ki =
3, and Kd = 1. In addition, there is a difference between the simulated and
real scenario mass flow rates, with the average biogas mass flow rate of 6.94%
and the mass air flow rate at 7.36%. The amount of
power generated by generator set and the mass flow rate of air and fuel will
increase. For the maximum power of 1200 watts, the obtained air mass flow rate
amounted to 2.118 kg/s, the mass flow rate of
biogas amounted to 0.133 kg/s, and the gasoline mass
flow rate amounted to 0.01 kg/s. For the minimum power, the obtained air mass
flow rate amounted to 0.560 kg/s, the mass flow rate of
biogas amounted to 0.029 kg/s, and the gas mass flow
rate amounted to 0.01 kg/s. In this research, the value of the AFR for complete
combustion on a dual fuel system is 15.06. The results have shown that the PID
Controller can be successfully implemented to regulate AFR, and the generator’s
output power can be constant.
This study was made possible with the help
of KPSP Setia Kawan Nongkojajar, Pasuruan, Testing and Calibration Laboratory, Industrial
Instrumentation Laboratory, and the Department of Instrumentation Engineering ITS
as data providers. The authors would like to thank the Directorate of
Research and
Community Service Institut Teknologi Sepuluh
Nopember through Contract No. 1386/PKS/ITS/2018 for funding this research in 2018.
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Abdul-Adheem,
W.R., Ibraheem, I.K., 2017. From PID to Nonlinear State Error Feedback
Controller. International Journal of Advanced Computer
Science and Applications, Volume 8(1), pp. 312–322
Abdurrakhman, A., Soehartanto, T., 2014.
Analisis Karakterisasi Water Scrubber pada Alat Purifikasi Biogas Tipe
Kombinasi Spray Tower dan Tray Tower (Analysis of Water Scrubber Characterization in Biogas
Purification System for Combination Type of Spray Tower and Tray Tower). In: National Seminar of Applied Technology,
Universitas Gadjah Mada, Yogyakarta
Abdurrakhman, A., Adhim,
M.M., Widjiantoro, B.L., 2018. Optimization
of H2S Absorption Toward the Alteration in
Flow Rate of Biogas Purification System with Water Scrubber using Particle
Swarm Optimization. In:
AIP Conference Proceeding, Volume 1983(1)
Ambarita, H., 2017. Performance and
Emission Characteristics of a Small Diesel Engine Run in Dual-Fuel
(Diesel-Biogas) Mode. Case Studies in Thermal Engineering, Volume 10, pp. 179–191
Bastida, H.,
Carlos, E., Abeyesekerra, M., 2017. Dynamic Modelling and Control of a
Reciprocating Engine. Energy Prodia, Volume
142, pp. 1282–1287
Budzianowski, W.M., Wylock, C.E.,
Marciniak, P.A., 2017. Power
Requirements of Biogas Upgrading by Water Scrubbing and Biomethane Compression:
Comparative Analysis of Various Plant Configurations. Energy Conversion and
Management, Volume 141, pp. 2–19
de Faria, M.M.N., Bueno, V.M., Ayad, E.,
Belchior, P., 2017. Thermodynamic Simulation Model for Predicting the
Performance of Spark Ignition Engines using Biogas as Fuel. Journal of Energy Conversion and Management, Volume 149, pp. 1096–1108
Günther, M., 2018. Challenges of a 100%
Renewable Energy Supply in the Java-Bali Grid. International Journal of Technology, Volume 9(2), pp. 257–266
Hotta, S.K.,
Sahoo, N., Mohanty, K., 2019. Comparative Assessment of a Spark Ignition Engine
Fueled with Gasoline and Raw Biogas. Renewable
Energy, Volume 134, pp. 1307–1319
Humaidi, A.J.,
Ibraheem, I.K., 2019. Speed Control of Permanent Magnet DC Motor with Friction
and Measurement Noise using Novel Nonlinear Extended State Observer-based Anti-disturbance
Control. Energies, Volume 12, pp. 2–22
Humaidi, A.J.,
Hameed, A.H., Ibraheem, I.K., 2019. Design
and Performance Study of Two Sliding Mode Backstepping Control Schemes for Roll
Channel of Delta Wing Aircraft. In: The 6th International Conference on
Control, Decision and Information Technologies (CoDIT), Paris, France,
pp. 1215–1220
Ibraheem, I.,
Ibraheem, G, 2016. Motion Control of an Autonomous Mobile Robot using Modified
Particle Swarm Optimization Based Fractional Order PID Controller. Engineering
and Technology Journal, Volume 34(13), Part (A) Engineering,
pp. 2406–2419
Jiang, J.,
Kaigala, G., Marquez, H., 2012. Nonlinear Controller Designs for Thermal
Management in PCR amplification. In: IEEE Transactions on Control Systems Technology, Volume 20(1),
pp. 11–30
Khatoon, S., Nasiruddin, I., Shahid, M., 2017. Design and Simulation of
a Hybrid PD-ANFIS Controller for Attitude Tracking Control of a Quadrotor
UAV. Arabian Journal for Science and Engineering, Volume 42, pp.
5211–5229
Khatri, N.,
Khatri, K.K., 2020. Hydrogen Enrichment on Diesel Engine with Biogas in Dual
Fuel Mode. International Journal of Hydrogen Energy, Volume 45(11), pp.
7128–7140
Marlin, T.E.,
2000. Process Control: Designing Processes
and Control Systems for Dynamic Performance. Boston: McGraw-Hill
Medard, L.,
1976. Gas encyclopaedia. Elsevier Science
Najm, A.A.,
Ibraheem, I.K., 2020. Altitude and Attitude Stabilization of UAV Quadrotor
System using Improved Active Disturbance Rejection Control. Arabian Journal for
Science and Engineering, Volume
45, pp. 1985–1999
Nazir, R.,
Nurdin, M., Fitrianto, E., 2016. Voltage Profile Improvement of the 20 kV
Painan Distribution System with Multiple Distributed Renewable Energy
Generation. International Journal of Technology, Volume 7(1), pp. 26–37
Noyola, A.,
Morgan-Sagastume, J.M., López-Hernández, J.E., 2006. Treatment of Biogas
Produced in Anaerobic Reactors for Domestic Wastewater: Odor Control and
Energy/Resource Recovery. Reviews in Environmental Science and
Bio/Technology, Volume 5, pp. 93–114
O’Brien, M.,
1991. Catalytic Oxidation of Sulfides in Biogas, Ventilation Air and Wastewater
Streams from Anaerobic Digesters. In:
Proceedings 1991 Food Industry
Environment Conference, USA
Qian, Y., Sun,
S., Ju, D., Shan, X., Lu, X., 2017. Review of the State-of-the-Art of Biogas
Combustion Mechanisms and Applications in Internal Combustion Engines. Renewable and Sustainable Energy Reviews,
Volume 69, pp. 50–58
Setiawan, A.I,
2002. Harnessing the Livestock Manure
Utilization Problem Solution Environment and Alternative Energy. Swadya, Jakarta: Third Printing Spreaders
Stewart, J.,
Clarke, A., Chen, R., 2007. An Experimental Studyof the Dual–fuel Performance of a Small Compression Ignition Diesel Engine Operating with Three Gaseous Fules rid a-2785-2010. In: Proceedings of the Institution of Mechanical Engineers Part D, 221
(D8), pp. 943–956
Su, Y.X., Sun,
Dong, Duan, B.Y., 2005. Design of an Enhanced Nonlinear PID Controller. Mechatronics, Volume 15(8), pp.1005–1024
Tetteh, E.,
Amano, K.O.A., Asante-Sackey, D., Armah, E., 2018. Response Surface Optimization
of Biogas Potential in Co-digestion of Miscanthus Fuscus and Cow Dung. International
Journal of Technology, Volume 9(5), pp. 944–954
The Agency for the Assessment and Application of Technology (BPPT), 2015. Energy Development to Support Sustainable Development, Indonesia Energy Outlook
Tian, Y.C.,
Tadé, M.O., Tang, J., 1999. A Nonlinear PID Controller with Applications. In: IFAC
Proceedings Volumes, Volume 32(2), pp.
2657–2661
Verma, S., Das, L.M., Kaushik, Bhatti,
S.S., 2019. The Effects of Compression Ratio and EGR on the Performance and
Emission Characteristics of Diesel-Biogas Dual Fuel Engine. Applied Thermal
Engineering, Volume 150, pp. 1090–1103
Verma, S., Das, L.M., Kaushik, S.C., 2017. Effects of Varying Composition of
Biogas on Performance and Emission Characteristics of Compression Ignition
Engine using Exergy Analysis. Energy Conversion
and Management Journal, Volume 138, pp. 346–359