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Journal : IPTEK Journal of Proceedings Series

Simulation of Hydrogen Purification using Two Bed System Pressure Swing Adsorption Pratiwi, Vibianti Dwi; Juwari, Juwari; Handogo, Renanto
IPTEK Journal of Proceedings Series No 2 (2017): The 2nd Internasional Seminar on Science and Technology (ISST) 2016
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (523.617 KB) | DOI: 10.12962/j23546026.y2017i2.2272

Abstract

Hydrogen has various functions in chemical industries, as an agent of organic compounds synthesis, a reactant in hydrocracking, hydroalkelation, and hydrodesulfurization process in petrochemical industry, a reactant in hydrogenated fat process, a reductant agent in material industry, methanol production, silicon manufacture. Therefore, hydrogen purification is very important process for the industry processes. Pressure Swing Adsorption (PSA) is commonly used hydrogen purification process. Different utility used for hydrogen purification using PSA will change adsorbent’s capacity and pressure to separate the mixture of gas into desirable components. In this study, pressure is varied from 2 to 10 bar and adsorbents are used silica gel and activated carbon. Hydrogen purification using two beds system PSA is simulated using Aspen Adsorption software. Based on the simulation result, it can be concluded that the pressure that gives most steady system is at 7 bar, which produces 99,92 % hydrogen purity using activated carbon in bed 1 and silica gel in bed 2.
Heat Exchanger Network Optimization in A Natural Gas Dehydration Unit Kurniawan, Adhi; Juwari, Juwari; Handogo, Renanto
IPTEK Journal of Proceedings Series No 6 (2020): 6th International Seminar on Science and Technology 2020 (ISST 2020)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j23546026.y2020i6.11114

Abstract

A dehydration unit using triethylene glycol absorption is a common process in natural gas processing. In its regeneration section, the regenerated lean glycol needs to be cooled before entering the glycol absorber, while the rich glycol is to be preheated before entering the regenerator. This is a good candidate for heat exchanger network (HEN) optimization. In this work, the HEN was revisited using pinch analysis (PA) and mathematical programming (MP) using superstructure. The optimized networks were evaluated using simplified total annual cost (TAC). The PA method using small Tmin (minimum temperature approach) led to the configuration of three exchangers, a heater and a cooler, with minimized utilities. At larger Tmin, the configuration became into two exchangers, two heaters, and a cooler. The minimum calculated TAC is $60,351/year at Tmin = 12.5oC. Furthermore, it was revealed that one heater and one exchanger were two small. Therefore, they were omitted, and the heat load were redistributed to the network. The calculated TAC became $59,224/year. The superstructure approach resulted in two exchangers, a heater, and a cooler; with a calculated minimum TAC of $57,597/year. The two approaches have resulted in very similar minimized TAC.
Cost Optimization In The Scheduling On Heat Exchanger Cleaning Process David Licindo; Renanto Handogo; Juwari Purwo Sutikno
IPTEK Journal of Proceedings Series No 1 (2015): 1st International Seminar on Science and Technology (ISST) 2015
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (247.159 KB) | DOI: 10.12962/j23546026.y2015i1.1023

Abstract

Cost utility is very important in an industry, particularly in the chemical industry. For an industry that operates the heat exchanger in the production process, utility usage is determined by the maintenance of this devices, one of which is cleaning. Therefore, it is necessary to schedule the optimal cleaning in order to obtain optimum expenses as well. in this paper, a cost optimization model has been developed to obtain ideal scheduling that takes into account the time of cleaning with minimum targets utility costs. Simple case study problem will be given to show the application and the results
Maximum Peak-Gain Margin 2DOF-IMC Tuning for a 2DOF-PID Filter Set Point Controller Under Parametric Uncertainty Nur Hidayah; Juwari Juwari; Renanto Handogo
IPTEK Journal of Proceedings Series Vol 1, No 1 (2014): International Seminar on Applied Technology, Science, and Arts (APTECS) 2013
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j23546026.y2014i1.308

Abstract

The specification of controller setting for a standard controller typically requires a trade-off between set point tracking and disturbance rejection. For this reason two simple strategies can be used to adjust the set point and disturbance responses independently. These strategies are referred to as controllers with two degree of freedom. Unfortunately, the tuning parameters in the case of model uncertainty at two degree of freedom structure controller is difficult to obtain. Juwari et al (2013) has introduced maximum peak-gain margin (Mp-GM) tuning method to obtain setting parameter of two degree of freedom structure controller based on model uncertainty. This tuning method are able to obtain the good controller parameter even under processes uncertainties on standard two degree of freedom (was abbreviated as 2DOF) IMC. This research will be conducted on development maximum peak-gain margin tuning method for a two degree of freedom PID filter set point structure controller. The simulation results show that the maximum peak gain margin tuning method can give a good target set point tracking, disturbance rejection and robustness in system a 2DOF-PID filter set point controller.
Mp Tuning for Internal Model Control 2x2 Multi Input Multi Output (MIMO) System Dinny Winda Astuti; Juwari Juwari; Renanto Handogo
IPTEK Journal of Proceedings Series Vol 1, No 1 (2014): International Seminar on Applied Technology, Science, and Arts (APTECS) 2013
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j23546026.y2014i1.274

Abstract

IMC is a type of model based control that compensates time delay in the process. The controller tuning is quite simple in case of no-error in the model, otherwise it will be a difficult matter. Mp tuning has been considered a tuning for uncertain processes. To extend  IMC to MIMO system, a new method  based on Maximum Peak (Mp) is developed . The present study proposes Maximum Peak  (Mp) tuning for IMC in 2x2  multi input and multi output (MIMO) system. Three particular 2x2 model of distillation colomn are being studied, the best configuration is analyzed by Relative Gain Array (RGA) and Average Dynamic Gain Array (ADGA) method. The tuning method  consists of two main steps: Firstly, determine the worst case of the model uncertainty. Secondly, specify the parameter of set point controller using maximum peak (Mp) criteria.  The effectiveness of Mp tuning for IMC in MIMO system  is  evaluated and compared to Biggest Log Modulus Tuning (BLT) for MIMO-PI Controller, Skogestad Tuning, and Rivera Tuning. Evaluation and comparison  have been done through simulation and the results are satisying.