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All Journal Jurnal Teknik Industri Jurnal Teknik ITS IPTEK Journal of Proceedings Series KERN Instrumentasi Jurnal Teknik Industri Jurnal Chemurgy ASEAN Journal of Chemical Engineering Sewagati
Totok Ruki Biyanto
Engineering Physics, Institut Teknologi Sepuluh Nopember
Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Physics Social Sciences

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FORMULA KOREKSI UNTUK MODE PERMINTAAN RENDAH DAN TINGGI PADA FUNGSI INSTRUMEN UNTUK KEAMANAN DENGAN APLIKASI SUSUNAN 1OO1 Biyanto, Totok Ruki; Kusuma, Franky; Yaumar, Yaumar; Santoso, Hari H.
Instrumentasi Vol 38, No 2 (2014)
Publisher : LIPI Press, Anggota IKAPI

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (922.829 KB) | DOI: 10.14203/instrumentasi.v38i2.70

Abstract

Pencegahan terjadinya keadaan bahaya dalam industri proses dapat dilakukan dengan menerapkan Fungsi Instrumen untuk Keamanan (FIK) pada sebuah sistem. FIK hanya bekerja bila diperlukan. Hingga saat ini, FIK yang diterapkan pada industri proses merupakan FIK yang bekerja pada kondisi frekuensi permintaan rendah. Penilaian keamanan pada FIK yang bekerja pada frekuensi permintaan rendah dapat dilakukan dengan metode kuantitatif. Metode kuantitatif tersebut berupa persamaan eksponensial untuk menghitung laju kegagalan ketika memperoleh permintaan per jam (λ), yang disederhanakan menggunakan deret MacLaurin. Persamaan ini selanjutnya disebut sebagai persamaan yang disederhanakan dalam penelitian ini. Penggunaan persamaan yang disederhanakan pada kondisi frekuensi permintaan tinggi dapat menghasilkan nilai Tingkat Keamanan secara Keseluruhan (TKK) yang lebih tinggi. Hal ini dapat merugikan karena biaya investasi yang dikeluarkan melebihi keperluan. Hasil dari penelitian ini adalah sebuah persamaan faktor koreksi orde 1 yang dapat memperbaiki kesalahan nilai λ yang ditimbulkan oleh pemakaian persamaan yang disederhanakan. Persamaan tersebut berlaku untuk FIK dengan susunan 1oo1. Hasil persamaan baru dari penelitian ini, yaitu λkor = 0,9428 λMC + 0,0001 H. Dengan λMC merupakan nilai λ dari pemakaian persamaan yang disederhanakan, H merupakan frekuensi terjadinya bahaya yang mungkin terjadi pada sistem. Persamaan faktor koreksi yang diperoleh diterapkan pada studi kasus tangki pelepas gas ke cerobong api dan diperoleh nilai TKK yang sama pada kondisi frekuensi permintaan rendah maupun tinggi. Kesalahan rata-rata yang dihasilkan jauh lebih kecil dibandingkan tanpa mengggunakan faktor koreksi, yaitu 5%.
ANALISIS WINDOWS TO WALL RATIO TERHADAP KENYAMANAN TERMAL DAN PENCAHAYAAN PADA RUANG KERJA Biyanto, Totok Ruki
Kern : Jurnal Ilmiah Teknik Sipil Vol 4, No 1 (2014): KERN : Jurnal Ilmiah Teknik Sipil
Publisher : Kern : Jurnal Ilmiah Teknik Sipil

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Abstract

Green Building adalah bangunan hemat energi yang dibangun dengan mengoptimalkan sumberdaya alam, sehingga pemakaian energi dapat diminimalkan. Green Building atau bangunanramah lingkungan mempunyai kontribusi menahan pemanasan global dengan mengatur iklimyang ada di sekitar kita. Dengan penempatan arah bangunan yang sesuai, maka sistempencahayaan yang mengintegrasikan cahaya alami dapat menekan konsumsi energi pada sektorpencahayaan buatan atau lampu, pengkondisian udara, dan energi total pada ruang kerja. Jadisecara kumulatif penurunan energi dari sektor tersebut dapat mengefisienkan IntensitasKonsumsi Energi. Pengaturan rasio jendela yang semakin besar dan transmisi visibel semakintinggi berdampak pada tingkat konsumsi energi. Meskipun pencahayaan semakin baik namunsebaliknya konsumsi pengkondisian udara semakin besar. Berdasarkan iklim di Indonesia yangtropis, sebaiknya ruang kerja tidak memerlukan jendela. Tetapi menurut standart SNI denganmemperhatikan estetika ruang, maka nilai OTTV untuk ruang yang digunakan yaitu kurang dari45 dan Daylight di atas 30%. Pada penelitian ini diambil ketinggian kaca yang ideal yaituberada pada ketinggian 0,6 meter – 0,8 meter. Diperoleh nilai WWR (Window to Wall Ratio)berada pada range 20 – 27 dengan daylight 30,12% - 37,98% dan OTTV 35,06 Watt/m2 – 43,81Watt/m2. Dari hasil simulasi, maka didapatkan nilai rata-rata untuk daylight yaitu 34,05% danOTTV yaitu 39,435 Watt/m2.Kata kunci : Green Building, Kenyaman Termal, Pencahayaan, Window to Wall Ratio
Algoritma Genetika untuk Mengoptimasi Penjadualan Pembersihan Jaringan Penukar Panas Biyanto, Totok Ruki
Jurnal Teknik Industri Vol 17, No 1 (2015): JUNE 2015
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1000.5 KB) | DOI: 10.9744/jti.17.1.53-60

Abstract

The resulting MINLP problem is very complex and finding the global optimum is a challenging task. Solving this problem can use two methods, namely deterministic and metaheuristic. Deterministic method requires enough knowledge to determine areas that can provide global optimum solution. This method sometime provide unconvergen solution. Another method is metaheuristic method that simple and promising global optimum solution without introducing any approximations or simplifying assumptions. This method works without influenced by the previous optimization results. One of metaheuristic algorithms is Genetic Algorithm (GA). In this paper, the GA will be used to solve the optimization of cleaning schedule of Heat Exchanger Network (HEN) in a refinery Crude Preheat Train (CPT). The results showed that efficiency of HEN 23% increased which can be translated in IDR 14.1 Billion of fuel saving. Metaheuristic algorithm always provide a solution at the end of optimization’s iteration and it can be run  continuesly in order to get more optimal solution.
Abstract of Invited Speaker : Green Concept in Engineering Practice Biyanto, Totok Ruki
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 (559.126 KB) | DOI: 10.12962/j23546026.y2015i1.1119

Abstract

In recent time, becoming green is not only a matter of compliance with regulations, however it is a matter of responding to the expectations and demands of our world, country, community, stockholders, customers, employees and competitors. These matters create tremendous pressure for companies to carry out their activities in a more environmental friendly.Being green requires the best engineering minds and commitment from the entire organization. Engineering is all  about  practicality  finding  solutions  to  improve  theconditions. Excellent understanding of the fundamental engineering  is  a  key  to  helping  industrial  activities  tobecome greener and the engineers are in an ideal position to contribute in these activities, in term of development andimplementation of technologically sound, as well as cost- effective solutions.Green initiatives create big business opportunities in the order of trillions of dollars for innovative companies and engineers,  in  this  decade.  These  business  activities  arestarted from research and development, plant design, plant construction and plant operation stage. This paper presents some ideas on how to implement the green concept in engineering  activities.  The  case  studies  application  ofgreen engineering in refinery crude preheat train and cement plant waste heat recovery generation are also presented
Optimasi Desain Heat Exchanger dengan Menggunakan Metode Particle Swarm Optimization Rifnaldi Veriyawan; Totok Ruki Biyanto
Jurnal Teknik ITS Vol 3, No 2 (2014)
Publisher : Direktorat Riset dan Pengabdian Masyarakat (DRPM), ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (449.98 KB) | DOI: 10.12962/j23373539.v3i2.7556

Abstract

Industri proses terutama perminyakan adalah salah satu industri membutuhkan energi panas dengan jumlah kapasitas besar. Dengan berjalan perkembangan teknologi dibutuhkannya proses perpindahan panas dalam jumlah besar. Tetapi dengan besarnya penukaran panas yang diberikan maka besar pula luas permukaan. Dibutuhkannya optimasi pada desain heat exchanger terutama shell-and-tube¬. Dalam tugas akhir ini, Algoritma particle swarm optimization (PSO) digunakan untuk mengoptimasikan nilai koefesien perpindahan panas keseluruhan dengan mendapatkan nilai terbaik. Perumusan fungsi tujuan nilai perpindahan panas keseluruhan (U), dan luas permukaan (A) yang digunakan untuk mencari nilai fungsi objektif pada PSO. Partikel dalam PSO menyatakan sebagai posisi atau solusi dari hasil optimasi didapatnya nilai perpindahan panas maksimal dengan luas permukaan dan pressure drop dibawah data desain atau datasheet. Partikel tersebut dalam pemodelan berupa rentang nilai minimal dan maksimal dari diameter luar diantara (do) dan jumlah baffle (Nb). Dari hasil optimasi pada tiga HE didapatkan nilai U dan A secara berturut-turut; HE E-1111 472 W/m2C dan 289 m2 ;pada HE E-1107 174 W/m2C dan 265 m2 ; dan HE E-1102 618 W/m2C dan 574 m2. Nilai perpindahan panas keseluruhan yang telah dioptimasi sesuai dengan fungsi objektif dapat dikatakan HE shell-and-tube mencapai titik optimal.
Rancang Bangun Sistem Pengendalian Temperatur Menggunakan IMC-PID pada Shell and Tube Heat Exchanger Segmental Baffle Vieri Limanto; Totok Ruki Biyanto
Jurnal Teknik ITS Vol 10, No 2 (2021)
Publisher : Direktorat Riset dan Pengabdian Masyarakat (DRPM), ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j23373539.v10i2.68037

Abstract

Dalam dunia industri diperlukan metode kontrol yang optimal agar produk yang dihasilkan dapat sesuai dengan yang diinginkan. Salah satu equipment yang perlu dikendalikan adalah heat exchanger. Heat exchanger merupakan equipment yang bertujuan melakukan pertukaran panas dari fluida yang bertemperatur tinggi ke fluida yang bertemperatur rendah. Terdapat beberapa jenis heat exchanger, namun salah satu heat exchanger yang sering digunakan adalah heat exchanger shell and tube (STHE). Pada bagian dalam STHE terdapat baffle. Baffle sendiri memiliki beragam jenis, salah satunya yaitu single segmental baffle, setelah diketahui desain dari STHE yang digunakan, perlu adanya sistem pengendalian agar tercapainya kriteria produk yang sesuai dengan setpoint. Sistem pengendalian yang baik perlu dilakukan pemilihan metode kontrol yang tepat, pada penulisan tugas akhir ini akan membahas pengaruh metode kontrol IMC-PID yang dibandingkan dengan Ziegler Nichols-PID terhadap STHE segmental baffle. Hasil yang diperoleh dengan diterapkannya IMC-PID serta menggunakan berbagai variasi lambda(λ), agar pengendalian sesuai degan setpoint. Didapatkan IMC-PID dengan lambda (λ > 0.1τ) memberikan hasil yang lebih baik dalam menjaga kestabilan walaupun ditambahkan disturbance. Hal ini diperoleh dari nilai IAE sebesar 455.0447, nilai tersebut merupakan hasil yang terbaik dari berbagai metode kontrol yang dilakukan.
Performance Optimization of Gas Turbine Generator Based on Operating Conditions Using ANN-GA at Saka Indonesia Pangkah Ltd Risma Yudhanto; Totok Ruki Biyanto
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.y2020i6.8901

Abstract

A Gas Turbine is a rotary engine that extracts energy from a flow combustion gas. The reliability and efficiency of gas turbines are one of the top priorities at Saka Indonesia Pangkah Ltd (SIPL). In order to optimize the operating conditions of a gas turbine, three components are needed. First is the problem formulation which consists of objective functions, problem boundaries or constraints, and determination of optimized variables. The second component is a valid model, which represents the characteristics of a gas turbine installed in SIPL. The third component is the optimization technique that is suitable with the optimization problem that will be solved. In this paper, the objective function is maximizing gas turbine efficiency, some operational limitation as constrains by manipulating air to fuel ratio. The model was developed using Artificial Neural Network (ANN) and Genetic Algorithm (GA) was selected as the stochastic optimization technique to solve the problem. The neural network model created directly using the operational data from an actual parameter gas turbine generator. The data needed for ANN-based modeling is around 8150 data sets that will be used to train and validate the ANN model. Variable data sets were divided in two parts, for training purposes is 87.5% and for validation is 12.5%. Weight management for neural networks was carried out using Levenberg-Marquardt algorithm which could give good results with RMSE = 7.3 X 10-3. From the results of the stochastic optimization (GA) simulation, the potential reduction of fuel gas consumption is around 280.8 kg/hr if the air mass flow can be increased from 2.4 kg/s to 2.7 kg/s or efficiency increase up to 10.6%.
Algoritma Genetika untuk Mengoptimasi Penjadualan Pembersihan Jaringan Penukar Panas Totok Ruki Biyanto
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 17 No. 1 (2015): JUNE 2015
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1000.5 KB) | DOI: 10.9744/jti.17.1.53-60

Abstract

The resulting MINLP problem is very complex and finding the global optimum is a challenging task. Solving this problem can use two methods, namely deterministic and metaheuristic. Deterministic method requires enough knowledge to determine areas that can provide global optimum solution. This method sometime provide unconvergen solution. Another method is metaheuristic method that simple and promising global optimum solution without introducing any approximations or simplifying assumptions. This method works without influenced by the previous optimization results. One of metaheuristic algorithms is Genetic Algorithm (GA). In this paper, the GA will be used to solve the optimization of cleaning schedule of Heat Exchanger Network (HEN) in a refinery Crude Preheat Train (CPT). The results showed that efficiency of HEN 23% increased which can be translated in IDR 14.1 Billion of fuel saving. Metaheuristic algorithm always provide a solution at the end of optimization’s iteration and it can be run  continuesly in order to get more optimal solution.
PREDICTION ANALYSIS OF FOULING MODEL ON HEAT EXCHANGER IN THE CRUDE OIL REFINERY Hairul Huda; Renanto Renanto; Totok Ruki Biyanto; Rif'an Fathoni; Tantra Diwa Larasati
Jurnal Chemurgy Vol 6, No 1 (2022): Jurnal Chemurgy-Juni 2022
Publisher : Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/cmg.v6i1.7672

Abstract

Fouling mainly occurs in the oil industry. Fouling is an unwanted deposit in HE (heat exchanger). Reliable fouling models are scarce, although empirical and theoretical models have been proposed to describe fouling in heat exchangers. The general models of empirical fouling used are linear, falling rate, and asymptotic. The research methodology begins with the acquisition and use of operational fouling data, which is then followed by the use of an asymptotic fouling model and ends with calculating the thickness of fouling in all HE. The object of this research study is all HE in the crude oil refinery HEN (heat exchanger network). The aim of this research is to use the asymptotic fouling model and get the fouling thickness. The fouling resistance from time to time increases, but in the end, it tends to be stationary, where for the final value, the highest fouling resistance is in HE-10, namely 14.8E-03 (m2°C/W), and the lowest value is fouling resistance at HE- 01 is 1.27E-03 (m2°C/W). The thickness of HE fouling in asymptotic conditions indicates that HE undergoes the same deposition process as suppression.Keywords: fouling, heat exchanger, asymptotic, crude oil refinery, heat exchanger network
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.
Co-Authors Fathoni, Rif'an Franky Kusuma Gideon Saputra Nainggolan Gideon Saputra Nainggolan Hairul Huda Mohammad Okky Mabruri Mohammad Okky Mabruri Muhammad Andro Purnomo Muhammad Andro Purnomo Nanda Erzhiavica Tama Nanda Erzhiavica Tama Renanto Handogo Rifnaldi Veriyawan Risma Yudhanto Santoso, Hari H. Tantra Diwa Larasati Vieri Limanto Vincentius Surya Kurnia Adi Wei Wu Yaumar Yaumar, Yaumar