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All Journal Jurnal Teknik ITS IPTEK Journal of Proceedings Series IPTEK The Journal for Technology and Science Journal of Engineering and Technological Sciences Jurnal IPTEK Jurnal Chemurgy ASEAN Journal of Chemical Engineering
Renanto Handogo
Chemical Engineering Department, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia
Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Mechanical Engineering

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Journal : ASEAN Journal of Chemical Engineering

 1 
Comparison of Steady State and Dynamic Interaction Measurements in Multiloop Control Systems Renanto Handogo; Avon T. H.; Joko Lelono
ASEAN Journal of Chemical Engineering Vol 5, No 1 (2005)
Publisher : Department of Chemical Engineering, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (457.228 KB) | DOI: 10.22146/ajche.50158

Abstract

The applicability of the steady-state Relative Gain Array (RGA) to measure dynamic process interactions in a multiloop control system was investigated. Several transfer function matrices were chosen, and the gains, time constants, and dead times of their elements were varied to represent the systems with dominant dynamic interactions. It was shown that the steady-state RGA method predicted the controller pairing accurately if the pairing elements recommended by RGA had the bigger gains and the same or smaller time constants compared to other elements in the corresponding rows. When these conditions were not met, the RGA would give a wrong result, and dynamic interaction measurements, such as the Average Dynamic Gain Array (ADGA) and the Inverse Nyquist Array (lNA), should be used instead to determine the best controller pairing in a multiloop control system. Keywords: Control pairing, dynamic process interaction, multiloop control systems, Relative Gain Array (RGA), and steady state.
Steady State and Dynamic Interaction Analysis in Multivarible Control System Renanto Handogo; Gede Wibawa; Totong Rusmana; Moch. Arief Hidayat
ASEAN Journal of Chemical Engineering Vol 4, No 1 (2004)
Publisher : Department of Chemical Engineering, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (301.31 KB) | DOI: 10.22146/ajche.50848

Abstract

Relative gain array (RGA) and average dynamic gain array (ADGA) have been investigated as a measure for interaction of multi-input multi-output (MIMO) 2x2 system. Several examples have been chosen to represent MIMO with various time constants and dead time of first order plus dead time. The ratio of off-diagonal and on-diagonal element time constants of the transfer function processes (6) has shown more dominance to interaction than ratio of off-diagonal and on-diagonal element dead times of the transfer function processes (0,) . RGA, INA,and ADGAgive the same result for t'j 3 1 and INA and ADGA should be used for t'j 1 regardless the value of do
Oil Refinery Heat Exchanger Network Cleaning Scheduling Strategy with Unit Cleanability Consideration Hairul Huda; Renanto Handogo; Totok Ruki Biyanto; Wei Wu; Vincentius Surya Kurnia Adi
ASEAN Journal of Chemical Engineering Vol 20, No 1 (2020)
Publisher : Department of Chemical Engineering, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ajche.51880

Abstract

Heat exchanger networks (HENs) play an important role in the chemical industries. Unfortunately, fouling is inevitable in heat exchangers operation. Therefore, the optimal cleaning procedure is required to restore heat exchangers' performance periodically. A systematic cleaning scheduling strategy for the heat exchanger network in an oil refinery is proposed in this work. There are 11 operating heat exchangers in an oil refinery to be reviewed. Different cleaning decision scenarios based on the overall heat transfer coefficient are explored for optimal cleaning schedule performance. The daily number of exchangers available to be cleaned i.e., the unit cleanability, is investigated while minimizing the energy consumption and the additional heat requirement due to the offline heat exchanger under cleaning procedure. The HEN performance and the energy-saving from the cleaning procedures are benchmarked with the uncleaned HEN. The results indicate that the cleaning procedure significantly increases the HEN performance and simultaneously reduces the heat requirement if compared to the untreated HEN benchmark. The possible conflicting situation is discussed when some heat exchangers are waiting to be cleaned due to the unit cleanability restriction, which allows the overall heat transfer coefficient to be below the allowed limit. Therefore, nonconflicting cleaning scheduling is also addressed in this work by relaxing the unit cleanability limit. Furthermore, the optimal cleaning schedule is also suggested for user reference. In this work, the optimum cleaning schedule with minimum energy consumption and maximum energy saving could be achieved when cleaning decision limit is set at 40% decrease of overall heat transfer coefficient. In the contrast, the lowest number of cleaning procedures is associated with 90% decrease in the overall heat transfer coefficient as the cleaning decision limit.
The Optimization of Natural Gas Utilization Network in Single Region Using Pinch Analysis Method Rendra Panca Anugraha; Annasit Annasit; Ali Altway; Juwari Juwari; Renanto Handogo
ASEAN Journal of Chemical Engineering Vol 20, No 1 (2020)
Publisher : Department of Chemical Engineering, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ajche.51953

Abstract

Natural gas is one of the cleanest energy resources and may have potency to replace crude oil as main energy resource in several decades. There are some aspects which must be concern in the development of the natural gas industry including processing, storing, distributing and utilizing of the natural gas. The network of natural gas supply also should be generated to obtain the maximum natural gas recovery. However, it is difficult to determine the most suitable network system to connect the supply and demand of natural gas due to their different time scale, flowrate and capacity. There are some studies which investigating the network system to connect the supply and demand of natural gas but there are no systematical method in determination of the optimum natural gas network in single region supply-chain using pinch analysis. Therefore, in this study, a systematical method was developed to design natural gas network system in single region (East Java) using pinch analysis. The concept of natural gas cascade calculation was introduced. The heuristics of natural gas pairing between source and sink streams in grid diagram analysis was developed. Using 0-year time minimum difference give the amount of unutilized supply with value of 258.4 billion standard cubic feet (BCF) while 3-year time minimum difference give the amount of alternative and unutilized supply with value of 639.3 BCF and 897.7 BCF, respectively. The grid diagram heuristics developed in this study gives same results with the cascade calculation result.
Co-Authors Achmad Roesyadi Ali Altway Aminuyati Annasit Annasit Ari Widodo Aufal Nawasanjani Avon T. H. Bilal Chabibulloh Budiman, Fajar Daril Ridho Zuchrillah David Licindo Dimas Jouhari Dinny Winda Astuti Fathoni, Rif'an Gede Wibawa Hairul Huda Joko Lelono Juwari Juwari Kevin Kevin Kurniawan, Adhi Liga Indriyani Lino Meris Rahmanto Moch. Arief Hidayat Mochamad Irfan Dwiputro Muhammad Rivai Nur Faizah Nur Hidayah Pratiwi, Vibianti Dwi Rendra Panca Anugraha Semuel Pati Senda Semuel Pati Senda Serlya Aldina Tantra Diwa Larasati Totok Ruki Biyanto Totong Rusmana Vincentius Lukas Aria Vincentius Surya Kurnia Adi Wahono Sumaryono Wei Wu Wisnu Kusuma Atmaja Yazid Bindar Yazid Bindar Zuchrillah, Daril Ridho