Totok R. Biyanto

Duelist Algorithm: An Algorithm Inspired by How Duelist Improve Their Capabilities in a Duel

This paper proposes an optimization algorithm based on human fight and learn from each duelist. The proposed algorithm starts with an initial set of duelists. The duel is to determine the winner and loser. The loser learns from the winner, while the winner try their new skill or technique that may improve their fighting capabilities. A few duelists with highest fighting capabilities are called as champion. The champion train a new duelist such as their capabilities. The new duelist will join the tournament as a representative of each champion. All duelist are re-evaluated, and the duelists with worst fighting capabilities is eliminated to maintain the amount of duelists. Several benchmark functions is used in this work. The results shows that Duelist Algorithm outperform other algorithms in several functions.

Optimization of Energy Efficiency and Conservation in Green Building Design Using Duelist, Killer-Whale and Rain-Water Algorithms

The development of green building has been growing in both design and quality. The development of green building was limited by the issue of expensive investment. Actually, green building can reduce the energy usage inside the building especially in utilization of cooling system. External load plays major role in reducing the usage of cooling system. External load is affected by type of wall sheathing, glass and roof. The proper selection of wall, type of glass and roof material are very important to reduce external load. Hence, the optimization of energy efficiency and conservation in green building design is required. Since this optimization consist of integer and non-linear equations, this problem falls into Mixed-Integer-Non-Linear-Programming (MINLP) that required global optimization technique such as stochastic optimization algorithms. In this paper the optimized variables i.e. type of glass and roof were chosen using Duelist, Killer-Whale and Rain-Water Algorithms to obtain the optimum energy and considering the minimal investment. The optimization results exhibited the single glass Planibel-G with the 3.2 mm thickness and glass wool insulation provided maximum ROI of 36.8486%, EUI reduction of 54 kWh/m2year, CO2 emission reduction of 486.8971 tons/year and reduce investment of 4,078,905,465 IDR.

Toward Reduction of Conservation Equations in Curvilinear Coordinate Systems into a Set of ODEs Using the Method of Characteristics

This work examined the conservation equations in curvilinear coordinates using the method of characteristics. The method is commonly applied to solve first-order partial differential equations. When applying this method to the conservation laws, the main difficulty is mass and momentum equations which are simultaneous and nonlinear PDEs. The method utilizes the separation of order in order to solve the problem. The resulting nonlinear ODEs in the main equation and characteristic variables were performed by the implementation of the system of Riccati and polynomial equation. The system of polynomial and Riccati equation is handled by the proposed method to solve each polynomial and Riccati equation. Both results were then equated to define each ODE solution. The procedure was then repeated sequentially to reach the final solutions for velocities, pressure, and temperature.

Optimization of Oil Production in CO 2 Enhanced Oil Recovery

Oil production have several stage i.e. primary, secondary and tertiary. In tertiary stage, the effort to increase oil production is called as enhanced oil recovery (EOR). EOR is performed by injecting material or energy from outside reservoir. There are several EOR methods that have been developed and implemented in the oil field, including thermal recovery, chemical flooding, and solvent flooding. One of solvent flooding is CO2 EOR by injecting CO2 to reservoir. CO2 EOR method has capability to increase 5–15% oil recovery. In addition, injecting CO2 to reservoir have good impact to reduce global warming effect. However, to obtain the optimum result of CO2 EOR needs several parameter to be optimized, such as mass flow rate, pressure and temperature injection. There are several equation that have been used to build a model of CO2 EOR pressure drop. There are Fanning equation for injection well, Darcy equation for reservoir formation and Beggs-Brill equation for production well. The model has been validated using PIPESIM software for injection well model and have mean error 2.204%. Meanwhile reservoir formation model has been validated using COMSOL Multiphysics software and have mean error 3.863%. The optimization of CO2 EOR using Duelist Algorithm provide increasing the net profit 42.47% from 26,548.62 USD/day to 37,826.39 USD/day.

Techno Economic Optimization of Hollow Fiber Membrane Design for CO 2 Separation Using Killer Whale Algorithm

Natural gas has one of the main energy sources in the world. In the cryogenic processes of natural gas, the present of carbon dioxide remains a concern because it can cause the blockage of equipment. Membrane technologies are widely used in natural gas separation processes because of their compact size, simple operating conditions, no chemical additive. The type of membrane that used in this research is hollow fiber membrane type. The membrane optimization is aimed to obtain the best performance of membrane in term of technical and economical point of view by determine optimum membrane length that provide adequate residence time. Optimization of design hollow fiber membrane requires three components i.e. problem formulation, model and optimization techniques. The problem formulation of this research is to obtain the efficient designed hollow fiber membrane that provide maximum revenue, minimum cost and fouling, smaller size, and minimum cleaning. Modeling of dissolution and diffusion were built by utilizing Fick’s law method, meanwhile pressure drop of hollow fiber membrane was modeled by Darcy equation. Optimization techniques were used in this research is Killer Whale Algorithm. Optimization results using Killer Whale Algorithm with parameters 20 matrilines, 5 leaders and 20 iterations were obtained the length of membrane 4 m, cleaning time interval 664 min, price of membrane 25,533,000 IDR/m2 and the optimum revenue 1,162,000,000 IDR. Based on this research, the proposed techno economy optimization method can be applied in other the applications to solve energy problem.

Optimization of Mud Injection Pressure in Oil Drilling Using Duelist Algorithm

Drilling fluid or commonly called mud, is used to lift drilling cutting to the surface, cool and lubricate the bit and drill string, as supporting walls in the borehole using mud cake, and control the formation pressure. The injection pressure is very important because if the injection pressure of the mud is not right, it is going to cause various effects, such as causing fracture in the wellbore, causing heat in the bit and drill string, weak wall since weak mud cake formed in the well, and being able to cause kick or stuckpipe. Because of the impact of the mud injection pressure is significant to drilling performance, the pressure of mud injection in the oil drilling needs to be optimized using Duelist Algorithms to minimize the amount of pressure drop at each hole diameter, i.e. at 17 in. hole diameter in 1269.68 ft depth and at 12.25 in. hole diameter in 2132.55 ft depth. Before being optimized, the pressure of mud injection was modeled first using bingham-plastic method for calculating pressure drop in six different sections of the wellbore, i.e. surface equipment, drill pipe, drill collar, bit, annulus around drill collar, and annulus around drill pipe. Afterwards, it was summed to calculate the total pressure drop in each hole diameter. The total initial pressure drop for 17 in. hole diameter was 978 psi and for 12.25 in. hole diameter was 1875 psi. In order to minimize the pressure drop, it was necessary to do optimization using Duelist Algorithm. The optimized variables were mud density and flow rate. Sensitivity analysis was utilized to obtain behaviour of the system. Duelist Algorithm optimization was performed using 200 iterations, 200 duelists, 80% learning probability, 10% innovate probability, 95% luck coefficient, and 10% board of champion. After being optimized using Duelist Algorithm method, for 17 in. hole diameter, mud density became 9 ppg and flow rate became 505 gpm. Therefore, the pressure drop became 695 psi. Meanwhile, for 12.25 in. hole diameter, mud density became 9.18 ppg and flow rate became 603 gpm. Therefore the pressure drop became 1145 psi. The results show that the optimization of mud injection operating condition in drilling process provide reduction of pressure drop in mud injection that would be give good impacts in the drilling efficiency and safety. This result will be useful for drilling engineer to set up the drilling equipment and mud properties.

Performance of Seawater Activated Battery as Alternative Energy Resources

 Research on Freshwater and Seawater batteries, which using Al and Cu electrodes at variation of different electrolyte salinity, distance between electrodes and flowrate of electrolyte has been carried out. The galvanostatic discharge and Electrochemical Impedance Spectroscopy (EIS) of Al and Cu in seawater were investigated. The results showed the optimum condition with significant average potential discharge of 45,02 mV and current of 0,440 mA obtained from combination of 5% electrolyte salinity, 2 cm space between electrodes and 0,5 liter/hour electrolyte rate. EIS studies revealed that the Al and Cu interficial electrochemical process in seawater was determined by an activation controlled reaction. Keywords Seawater Battery, Galvanostatic Discharge, Electrochemical Impedance Spectroscopy.

Duelist algorithm for optimisation of safety instrumented system at distillation column based on RAMS + C

Abstract This paper describes the optimisation of safety instrumented system at distillation column based on reliability, availability, maintenance, safety, plus cost using duelist algorithm. Safety instrumented system maintain operating condition in the safe regime when normal operation over the allowable limits. Diversity redundancy was implemented as allocation redundancy. The requirement of safety instrumented system has been appointed by international standard, International Electrotechnical Commission 61508. The objective of this study is to achieve the lowest value of lifecycle cost that affected by average probability of failure on demand and spurious trip rate value. Average probability of failure on demand is involved by failure rate danger that has an effect on safety instrumented level value; meanwhile, spurious trip rate is influenced by failure rate safe that has an effect to the product losses caused unscheduled shutdown. The field instruments subsystems are provided by utilising one of or all different technologies. The best optimisation solution utilises vote 1 out of 1 for all subsystem with smart transmitter technology and air-operated actuator. Its solution obtained lifecycle cost 1,139,898 USD, average probability of failure on demand 7181 × 10−02/h and spurious trip rate 4844 × 10−05/h.

Optimization of Water Recycle at Steam Flood EOR Using Genetic Algorithm

Steam flood is one of the thermal enhanced oil recovery methods widely used to increase production rate. This method injects steam into reservoir formation that will reduce crude oil viscosity. The steam condensate gives additional pressure to push crude oil toward production well. This method is known to be able to increase recovery factor significantly, but there are several things we need to note. The total cumulative water injected per day could reach 200 MT. This number is equivalent to total energy needed for steam generation, and wastewater (water-cut) on production well. Wastewater typically has complex chemistries, including total dissolved solids (TDS), organic carbon content, and concentration of scale-forming minerals (e.g., carbonates and sulfates). High-cost treatment is needed before wastewater can be re-injected. The optimization steam flood operation is required to maximize crude oil production, minimize energy at steam generation, and minimize wastewater (water-cut) on production well. Model of steam flood operation could be derived from Beggs–Brill method and Darcy equation. Mean error from Beggs–Brill method to PIPESIM software is 4.48% for pressure and 0.98% for temperature. Mean error from Darcy equation to COMSOL simulation is 0.39% for pressure and 0.97% for temperature. Before optimization, steam flood runs in 2.2 kg/s of mass steam injection rate, 600 psia of injection pressure, and 80% of steam quality. The profit of those configurations is 7645.37 USD/day. After optimization using genetic algorithm, steam flood operation could reach global optimum at 6.460 kg/s, 1408.53 psia injection pressure, and 87.86% steam quality. The profit of those optimized parameters is 17618.75 USD/day.

Air Intake Prefilter Application at GT 13E2 PT. PJB UP Muara Tawar to Increase Plant Reliability, Availability, and Maintenance Time Interval

The role of air intake filter in gas turbine is very important to produce clean air into combustion chamber. Combustion can perform perfectly in proportional rasio of fuel and oxygen.Filter air intake of gas turbine GT 13E2 use cylindrical cartridge filter type and it is installed vertically. air intake filter performance reduce rapidly if operated in dirty ambient air. This condition require filter replacement to maintain air mass flowrate that required in combustion. However, displacement cannot be performed while plant under operation. Therefore, the effort to increase life time of filter is necesary. Existing air intake filter in block 1 utilize 900 pieces of Donaldson brand. the specification of filter are 16 inches outside diameter. 34.5 inches height. celulose base with pourusity 52μ. To reduce amount of attached particle in filter surface, installation weather louver is required. In order to increase plant reliability, availability and maintenance time interval of gas turbine, installation of prefilter and wheater louver at intake of compressor have been performed. This effort provide increasing plant reliability, availability and maintenance time interval. Finally, the benefit of this effort increase productivity of electricity and company profit.