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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
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.
Pelatihan Pemanfaatan Teknologi Green Supersonic Separation untuk Pengolahan Gas Bagi Civitas Akademika dan Kalangan Industri Totok Ruki Biyanto; Mohammad Okky Mabruri; Muhammad Andro Purnomo; Nanda Erzhiavica Tama; Gideon Saputra Nainggolan
Sewagati Vol 4 No 1 (2020)
Publisher : Pusat Publikasi ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (810.483 KB)

Abstract

Produksi migas di Indonesia masih didominasi oleh produksi gas. Indonesia memiliki cadangan gas terbukti (proven gas reserves) terbesar ketiga belas di dunia dan terbesar kedua di Asia Pasifik, atau diperkirakan 1,4% dari cadangan dunia. Gas alam yang dihasilkan dari sumur tidak dapat digunakan secara langsung sebagai bahan bakar. Proses pemisahan adalah salah satu bagian penting dalam industri gas alam. supersonic separation merupakan teknologi pemisahan gas yang baru dengan menggabungkan teknologi JT-valve dan turbo expander. Plant yang digunakan pada tugas akhir ini yaitu supersonic separation plant dalam ekstraksi hidrokarbon berat dari metana atau liquefied petroleum gases (LPG) recovery. Adanya integrasi panas serta laju umpan gas alam yang tidak selalu stabil membutuhkan perancangan plantwide control. Perancangan desain plantwide control (PWC) pada supersonic separation ini berhasil menyelesaikan permasalahan tersebut, terbukti dengan adanya analisis dampak dari kestabilan plant. Metode PWC yang digunakan menurunkan metode milik Luyben dan Skogestad. Hasil perancangan PWC pada uji gangguan berupa penurunan set point sebersar 8.42%, pada respons kualitas metana sales gas menghasilkan respons rise time 302 detik, maximum overshoot 1.590309%, eror steady state 0.185195 %, settling time 2115 detik, dengan analisis secara kualitatif yaitu dengan menggunakan IAE juga menunjukkan bahwa perancangan PWC menghasilkan nilai IAE sebesar 0.690005 yang lebih kecil daripada PID. Penerapan PWC juga dapat menghasilkan respons sistem yang stabil saat dilakukan uji gangguan.
Design of a Control System for Hybrid Quadcopter Tilt Rotor Based on Backward Transition Algorithm Darwito, Purwadi Agus; Agustina, Nilla Perdana; Ahnaf, Hudzaifa Dhiaul; Roosydi, Syahrizal Faried; Pratama, Detak Yan; Biyanto, Totok Ruki
Journal of Robotics and Control (JRC) Vol. 6 No. 1 (2025)
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.v6i1.22594

Abstract

An Unmanned Aerial Vehicle (UAV) is an unmanned aerial vehicle that can be controlled using either automatic or manual control. UAVs are divided into two types: rotary-wing, which uses rotating propellers to fly the aircraft, and fixed-wing, which uses fixed wings to fly the aircraft. One of the advanced developments in UAV technology is the Hybrid Vertical Take-Off Landing Quadrotor Tiltrotor Aircraft (QTRA) system, which combines the quadrotor UAV system, classified under rotary-wing, with the fixed-wing UAV system. This allows for vertical takeoff and landing as well as the ability to cruise at maximum speed. In the transition between flight modes, from quadcopter to fixed-wing and vice versa, the transition is carried out by changing the thrust direction of the two front UAV rotors from horizontal to vertical and vice versa. The change in thrust angle on the rotor is referred to as a tilt rotor. The problem that arises from changing the aircraft mode from fixed-wing to quadcopter is controlling the UAV's transition mode, which must not lose its lift force. Therefore, the tilt angle must be changed as quickly as possible. To solve this issue, a Hybrid VTOL Quadrotor Tiltrotor aircraft concept was designed with fast response, controlled by a Proportional Derivative (PD) controller. The results of the PD control system response were tested in simulations by observing the X and Z positions of the UAV, which can stabilize the position during the transition. The success criteria targeted for a stable response include a tilting angle with a settling time of 7 seconds, an overshoot height of 16 meters, and a steady-state error approaching zero. From the transition simulation tests, the system response data showed performance with an X-axis settling time of 37 seconds, a steady-state error value of 0.1 meters, and an overshoot of 0.4%.