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All Journal CSID Journal of Infrastructure Development (CSID-JID) JURNAL POLI-TEKNOLOGI Makara Journal of Technology Jurnal Polimesin Jurnal Sains & Teknologi Fakultas Teknik Universitas Darma Persada
Ahmad Indra Siswantara
Perancangan Teknik Dan Pengembangan Produk, Departemen Teknik Mesin, Fakultas Teknik, Universitas Indonesia, Depok 16424, Indonesia
Aerospace Engineering Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Social Sciences Transportation

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Simulations of Bio-Micro High Power Density Power Generation System for Zero Energy Building pujowidodo, hariyotejo; Siswantara, Ahmad Indra; -, Budiarso
CSID Journal of Infrastructure Development Vol 2, No 1 (2019)
Publisher : Universitas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32783/csid-jid.v2i1.46

Abstract

The study of bio-micro high power density power generation system simulations for Zero Energy Building (ZEB) has been done, by analyzing the improvement momentum parameters for rotating impulse power turbines refers to the potential local bio-renewable energy sources. The main improvement parameters which are velocity and mass flow, would be analyzed in dynamic simulations of the thermal power generation system to give the estimated fuel rate requirement for appropriate heat enthalpy and predicted output power. Input parameters of simulation such as pressure, temperature, mass flow determined as design points of thermodynamics cycle. Using the fuel rate range 0.1 - 1 kg/s, LHV 12000 kJ/kg, and steam temperature from 120-165 oC, could predict the output power more than 300 kW. For power turbine demand range from 100 - 300 kW, it requires fuel rate 0.5-1 kg/s (LHV=12000 kJ/kg) and saturated steam pressure 360-700 kPa. This simulation model  could give the conceptual design of thermal power generation for ZEB.
Diffuser Optimation at Exhaust System with Catalytic Converter for 110 cc Mopet with Fluid Flow CFD Simulation Soemardi, Tresna P.; Siswantara, Ahmad Indra; Erwin, Erwin
Makara Journal of Technology Vol. 7, No. 2
Publisher : UI Scholars Hub

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Diffuser Optimation at Exhaust System with Catalytic Converter for 110 cc Mopet with Fluid Flow CFD Simulation. CFD simulation used to get behavior of exhaust gas through catalyst, this result will be used to optimize geometry form to perform uniform stream distribution to catalyst, and CFD Simulation will used to analyze backpressure that happened at the model.
Computational analysis of magnetohydrodynamic effects on biodiesel flow rate Tatun Hayatun Nufus; Candra Damis Widiawati; Ahmad Indra Siswantara; Gun Gun Ramdlan Gunadi; Dianta Mustofa Kamal; Asep Apriana; Dela siska; Bayu Prasetio; Irfan Hermansyah Saputra
Jurnal POLIMESIN Vol 21, No 2 (2023): April
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jpl.v21i2.3292

Abstract

The purpose of this research  is to determine the velocity characteristics of fluid (fuel) flow in a pipe surrounded by a minimal magnetic (electromagnetic) field strength by using computational fluid dynamics simulations. For a more detailed discussion, Magnetohydrodynamics (MHD) theory is used, which is a branch of science that studies fluid flow that can conduct electric current due to the influence of a magnetic (electromagnet) field. The fuel used is B0, B10, B20 and B30. The magnitude of the electromagnetic field used is 0.15 Tesla. the result is that the flow rate of B0 fuel has decreased by 0.623%. B10 fell to 0.41%. The B20 was down 0.618% and the B30 was down 0.648%. Thus the magnetic field strength of 0.15 Tesla is able to change the speed of the fuel flow even if only slightly. This information is needed as a basis for the development that the magnetic field is able to change the value of the flow velocity, this will provide information related to improving the quality of combustion and fuel savings in the future.
SIMULASI CFD ALIRAN TURBULEN PADA RUANG BAKAR TURBIN GAS MIKRO BIOENERGI PROTO X-3 MENGGUNAKAN MODEL TURBULEN k-ε Asyari Daryus; Nopryandi Nopryandi; Ahmad Indra Siswantara; Gun Gun R. Kurnadi
Jurnal Sains & Teknologi Fakultas Teknik Universitas Darma Persada Vol. 9 No. 2 (2019): Jurnal Sains & Teknologi
Publisher : Fakultas Teknik Universitas Darma Persada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70746/jstunsada.v9i2.64

Abstract

Mengetahui fenomena aliran gas di dalam ruang bakar sistem turbin gas akan sangat membantu para ahli teknik seperti mendesain ruang bakar, pemilihan bahan bakar, dan mencari unjuk kerja yang optimum. Oleh sebab itu telah dilakukan simulasi aliran dengan metode Computational Fluid Dynamics (CFD) menggunakan pemodelan turbulen Standar k-ε (STD k-ε) pada sebuah ruang bakar sistem turbin gas mikro Proto X-3, yaitu sebuah sistem prototipe turbin gas mikro yang dikembangkan untuk aplikasi “green building” dengan keleluasaan menggunakan berbagai jenis bahan bakar. Simulasi aliran gas dilakukan untuk bahan bakar biogas yang diperoleh dari hasil proses fermentasi kotoran hewan oleh bakteri anaerobik di dalam sebuah digester. Pemakaian bahan bakar diasumsikan konstan sebesar 100 kJ/s dan laju aliran massa udara divariasikan, yaitu sebesar 1,1 kg/s; 0,87 kg/s; dan 0,7 kg/s. Dari hasil simulasi diperoleh hasil bahwa pembakaran yang optimum diperoleh pada laju massa udara 1,1 kg/s
KAJIAN ANALISIS ENGINEERING DENGAN METODE COMPUTATIONAL FLUID DYNAMICS Candra Damis Widiawaty; Ahmad Indra Siswantara; Gun Gun R Gunadi
Jurnal Poli-Teknologi Vol. 14 No. 3 (2015)
Publisher : Politeknik Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32722/pt.v14i3.763

Abstract

ABSTRACT Computational fluid dynamic is fluid flow analysis in spesific system by mean of computer based simulation. The use of CFD to predict fluid flow in characteristic system which has specified conditions. The purpose of this research is to describe the procedural of simulation. The scope of this research is to verify the calculation result with the simulation result. The method of this research are iteratif calculaation and simulation. The result of iteratif calculation water outlet temperatur is of 71,88oC, while the simulation result for S1 is of 62,58 oC, S2 is of 79,44 oC, S3 is of 71,02oC, and S4 is of 71,68 oC. The difference of the result cause by the dimension of diameter tube, type of flow, and distribution of grid. The result of this research show that the accuration of simulation is depend on the intial engineering thingking, grid, and fluid flow specification. Key words: CFD, fluid, grid, simulation ABSTRAK Computational Fluid Dynamics (CFD) adalah pemanfaatan komputer untuk menghasilkan informasi tentang bagaimana fluida mengalir pada kondisi tertentu. CFD digunakan untuk membuat prediksi aliran fluida di dalam suatu sistem tertentu pada suatu kondisi yang ditentukan. Penelitian ini bertujuan mendeskripsikan langkah simulasi yang tepat. Lingkup penelitian ini adalah membandingkan hasil kalkulasi dengan hasil simulasi. Metode penelitian ini adalah kalkulasi iteratif dan simulasi. Hasil kalkulasi adalah temperatur keluaran air sebesar 71,88oC sedangkan dengan simulasi sebagai berikut parameter S1 sebesar 62,58 oC, S2 sebesar 79,44 oC, S3 sebesar 71,02oC, dan S4 sebesar 71,68 oC. Berbedaan hasil simulasi berurut-urut disebabkan oleh diameter tube, perbedaan tipe aliran, dan perbedaan distribusi grid. Hasil penelitian ini menunjukkan bahwa perancangan dengan software CFD sangat dipengaruhi oleh pemahaman pengguna terhadap sistem yang akan disimulasikan, pembangkitan grid/mesh, dan spesifikasi aliran. Kata kunci: CFD, fluida, grid, simulasi
Co-Authors -, Budiarso Asep Apriana Asyari Daryus Asyari Daryus, Asyari Bayu Prasetio Candra Damis Widiawati Candra Damis Widiawaty, Candra Damis Dela siska Erwin Erwin Erwin Erwin Gun Gun R Gunadi Gun Gun R. Gunadi, Gun Gun R. Gun Gun R. Kurnadi Gunadi, Gun Gun Ramdlan Irfan Hermansyah Saputra Kamal, Dianta Mustofa Nopryandi Nopryandi pujowidodo, hariyotejo Rovida Camalia, Rovida Steven Darmawan, Steven Tatun Hayatun Nufus Tresna P. Soemardi Tresna Soemardi