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All Journal Jurnal Asiimetrik: Jurnal Ilmiah Rekayasa Dan Inovasi
Harto Tanujaya
Universitas Tarumanagara
Civil Engineering, Building, Construction & Architecture Computer Science & IT Electrical & Electronics Engineering Industrial & Manufacturing Engineering

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Komparasi Simulasi CFD Pada Turbin Cross-Flow Dengan Model Turbulen k-ε STD dan RNG k-ε Juan Setiawan; Steven Darmawan; Harto Tanujaya
Jurnal Asiimetrik: Jurnal Ilmiah Rekayasa & Inovasi Volume 4 Nomor 2 Tahun 2022
Publisher : Fakultas Teknik Universitas Pancasila

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35814/asiimetrik.v4i1.3100

Abstract

The cross-flow turbine is one of widely used impulse turbine in power generator system due to it’s simple design and ability to be applied to a wide range of head and flow conditions. The flow in a cross-flow turbine flows in a crossed manner and works in 2 stages which could affect the turbine’s performance. Hence the visualization of these flow behavior could indicate the performance. Complexity of the flow inside the runner require the usage of CFD Method to visualize the flow, leaving the gap since numerical model also rely on turbulence model. The purpose of this study is to analyze the flow pattern in the nozzle and runner on a cross-flow turbine using the RNG k-ε turbulence model in ANSYS 2021 R2 Academic Version software. The simulation was carried out with 5 variations of nozzle inlet velocity: 2 m/s, 3 m/s, 4 m/s, 5 m/s and 6.487 m/s. The working fluid is assumed to be 1 phased water, with nozzle inlet pressure of 1.05 Pa, temperature of 24.85 oC and RNG k- ε turbulence model which compared to STD k-e turbulence model from the previous study. The results show that the simulation with the RNG k-ε turbulent models resulted in differences in the velocity and pressure profiles of Stage 1 of 3.353% and 87.679% and Stage 2 of 13.653% and 21.826% compared to simulation with k-ε STD models.
Analisis Aliran Udara dan Kenyamanan Termal di Laboratorium Perpindahan Panas dan Massa menggunakan Metode Computational Fluid Dynamics (CFD) Jason Prathana Liawan; Harto Tanujaya; Steven Darmawan
Jurnal Asiimetrik: Jurnal Ilmiah Rekayasa dan Inovasi Volume 5 Nomor 1 Tahun 2023
Publisher : Fakultas Teknik Universitas Pancasila

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35814/asiimetrik.v5i1.3122

Abstract

Air circulation and thermal comfort are some of many factors that affects user’s behavior in indoor activity, particularly in learning activity. With appropriate air quality and thermal comfort, it is easier for students to focus on the learning process. In addition, better air circulation can also benefit to the health of the people inside the building, for instance, according to WHO (World Health Organization), appropriate airflow may reduce the spread of SARS-CoV-2 which lately has caused a COVID-19 pandemic. However, air circulation and distribution have not a concern yet due to existing room condition and advanced technology that is needed, in L 609 classroom and Heat & Mass Transfer Laboratory, in this research. CFD method implementation for this case is used to show existing air circulation condition and necessary recommendations to get better air circulation. CFD simulation is done 3 dimensionally with 44344 nodes tetrahedral mesh on 2 configuration room condition, which are classified based on air input from AC, door gap, and with or without window opening. Based on CFD simulation results, the 2nd configuration with window opening indicate the best configuration with air velocity around 0,8 m/s dan room temperature 295,8 – 302,1 K. With window opening, the air flow condition met the ANSI/ASHRAE 55 and hoped to reduce COVID-19 spreading.
Perancangan dan Analisis Aliran Udara Sistem Ducting Cloud Kitchen dengan Metode Computational Fluid Dynamics Robin Tan; Steven Darmawan; Harto Tanujaya
Jurnal Asiimetrik: Jurnal Ilmiah Rekayasa dan Inovasi Volume 5 Nomor 2 Tahun 2023
Publisher : Fakultas Teknik Universitas Pancasila

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35814/asiimetrik.v5i2.4399

Abstract

Cloud Kitchen is a commercial kitchen that serves food for delivery or takeaway without dine-in customers. Because the cloud kitchen consists of many kitchens, good air circulation is needed. The total volume of the 15 kitchen units in the cloud kitchen is 249.8 m3, so to meet commercial kitchen standards that have a minimum Air Change per Hour (ACH) value of 30 ACH, an air change of 4410 m3/h with a ducting system is required. From the simulation results, the air velocity distribution in the ducting ranges from 0 m/s to 92.426 m/s, while the pressure distribution in the ducting ranges from -578.824 Pa to 11639.58 Pa, and the distribution of air temperature in the ducting ranges from 49.8°C to 65.167°C. The chosen exhaust fan is a CKE brand centrifugal fan with type CKE DGB-4.5#-NO and an exhaust capacity of 5712–10562 m3/h.
Co-Authors Jason Prathana Liawan Juan Setiawan Robin Tan Steven Darmawan