scholarly journals Analisis Perbedaan Mesh Pada Simulasi Boiler PLTGU Tanjung Priok Berbasis CFD

Jurnal METTEK ◽  
2020 ◽  
Vol 6 (1) ◽  
pp. 46
Author(s):  
I Nyoman Agus Adi Saputra ◽  
I Gusti Bagus Wijaya Kusuma ◽  
I Gusti Ngurah Priambadi

Penelitian Analisis Perbedaan Mesh berbasis Computational Fluid Dynamic (CFD) ini dilakukan Pada Boiler PLTGU Tanjung Priok. Boiler atau reboiler dalam sistem PLTGU dikategorikan sebagai alat penukar kalor karena perpindahan panasnya dilakukan tanpa kontak langsung antara media pemanas dengan media yang dipanaskan. Fluida kerja pada boiler PLTGU Tanjung Priok berupa gas methane dan air. Penelitian ini bertujuan melihat jumlah pembagian elemen terhadap hasil simulasi dengan menggunakan dua model Studi konvergensi grid yaitu dengan grid kasar, dan yang paling optimal melalui hasil simulasi CFD. Metode yang digunakan mulai dari mendesain geometri boiler sesuai kondisi di lapangan menginput initial conditions dan  boundry conditions. Data hasil penelitian yang sudah di lakukan pada simulasi boiler menunjukkan bahwa baik temperatur, tekanan dan kecepatan aliran memiliki nilai yang sama besar dan tidak di pengaruhi oleh pembagian elemen yang di lakukan pada saat proses meshing dari elemen yang paling kasar dengan jumlah total sebanyak 203.363 sampai pada tahap  proses meshing dengan elemen teroptimal yang berjumlah sebanyak 1.491.428 berdasarkan hal tersebut maka proses simulasi yang dilakukan menjadi lebih efisien karena proses perhitungan data dari elemen yang lebih sedikit mendapatkan hasil yang sama dengan elemen yang lebih banyak. The research on Mesh Difference Analysis based on Computational Fluid Dynamic (CFD) was conducted at Tanjung Priok PLTGU Boiler. Boilers or reboilers in PLTGU systems are categorized as heat exchangers because the heat transfer is done without direct contact between the heating media and the heated media. The working fluid in the Tanjung Priok gas power plant boiler is in the form of methane gas and water. This study aims to look at the number of elements divided against the simulation results by using two grid convergence study models, namely with a coarse grid, and the most optimal through CFD simulation results. The method used starts from designing the boiler geometry according to the field conditions, inputting initial conditions and boundry conditions. Data from research that has been done on boiler simulations shows that both temperature, pressure and flow velocity have the same value and are not affected by the division of elements carried out during the meshing process of the most coarse elements with a total number of 203.363 up to the meshing process stage with the optimum elements totaling 1,491,428 based on this, the simulation process carried out becomes more efficient because the process of calculating data from fewer elements gets the same results with more elements.

2016 ◽  
Vol 836 ◽  
pp. 132-138
Author(s):  
Retno Wulandari ◽  
I.N.G. Wardana ◽  
Slamet Wahyudi ◽  
Nurkholis Hamidi

The important matter of mixing at both micro and macro-fluidic levels has to be studied for determining how to achieve proper stirring ways. In order to analyse this matter, the first problem was how to visualise and especially how to measure the stirring process in a certain flow. In this study, the behavior of viscous glycerin employing various stirring patterns was investigated. The changes in glycerin solutions were observed by means of streamline flow topology and particle track arising from four variations in configurations: the same stirring directions of rod and vessel (RUN 1), opposite stirring directions of rod and vessel (RUN 2), stationary rod and rotating vessel (RUN 3), stirring rod and stationary vessel (RUN 4). The flow pattern was analyzed with ANSYS computational fluid dynamic tool. The simulation results shows that the opposite direction stirring pattern configuration produced more vortices than those of the same direction stirring patterns and the stirring rod pattern generated more vortices in almost all parts of the vessel than stationary rod pattern.


2017 ◽  
Vol 32 (1) ◽  
pp. 32
Author(s):  
Beatriz Kenickel Nunes ◽  
Silvia Regina Lucas de Souza ◽  
Arilson José de Oliveira Júnior ◽  
Enedy Allan Rodrigues Cordeiro ◽  
Reginaldo Apolinário de Almeida

As observações geradas em estudos sobre instalações de suínos têm demonstrado que o desempenho térmico das instalações comumente utilizadas pelos produtores vem apresentando um quadro de desconforto térmico na fase da maternidade, devido às adaptações construtivas feitas com a finalidade de atender tanto as necessidades da matriz quanto dos leitões. Sendo assim, o objetivo deste trabalho foi utilizar a ferramenta de fluidodinâmica computacional (CFD) para realizar o mapeamento do microambiente de duas instalações de suínos, visando o bem-estar dos animais. As simulações foram obtidas em uma maternidade da Fazenda Experimental Lageado, UNESP, Botucatu/SP e de uma granja comercial localizada em Santa Cruz do Rio Pardo/SP. Para as simulações utilizou-se o software Autodesk® CFD Simulation juntamente com o AutoCAD 3D, para desenho das instalações. As condições de conforto térmico foram analisadas por meio da aplicação do índice de voto médio estimado – PMV. Na instalação comercial simulada observou-se que as aberturas laterais não são suficientes para manter uma condição de conforto térmico, segundo o índice PMV. Com o uso da fluidodinâmica computacional foi possível modificar o ambiente mediante a elevação do seu fluxo de ar, o que demonstrou ser uma solução na diminuição da temperatura do ar e alcance de uma condição de conforto térmico.PALAVRAS-CHAVE: Conforto térmico, bem-estar de suínos, fluidodinâmica computacional, CFD, simuladores. FLUIDODYNAMICS COMPUTATIONAL USED FOR THE MAPPING OF THERMAL CONDITIONS IN INSTALLATION OF SWINE MATERNITIESABSTRACT: Studies have shown that the thermal performance of facilities commonly used by producers has presented an environmental discomfort picture in the maternity phase due to constructive adjustments made in order to meet needs of both piglets and sow. Therefore, this work aimed to use the computational fluid dynamic tool for mapping the microclimate of two facilities, which purpose of improving the animal welfare. The simulations were conducted at experimental farm “Lageado”, UNESP, Botucatu/SP and a commercial facility, located in Santa Cruz do Rio Pardo/SP. For simulations were used the Autodesk® CFD Simulation software along with AutoCAD 3D (facilities design). Thermal comfort conditions were analyzed by means of predicted mean vote – PMV. In simulated commercial facility was observed that side vents are not sufficient to establish a thermal comfort condition, according to PMV. With computational fluid dynamic was possible to change the environment through air flow increase, showing to be a solution in decrease of air temperature and reach of thermal comfort condition.KEYWORDS: Thermal comfort, swine welfare, computational fluid dynamic, CFD, simulators.


2013 ◽  
Vol 483 ◽  
pp. 234-237
Author(s):  
Bao Qing Wang ◽  
Ze Bei Wang ◽  
Yang Yang Li ◽  
Rong Hui Chen ◽  
Shu Yao

Performance of aerosol sampling inlet for different diffuser outlet angle is compared with its velocity and pressure distribution. To get information on velocity and pressure distribution for different outlet angle, Computational Fluid Dynamic (CFD) simulation can be used. At the same time, it can achieve high efficiency of aerosol sampling and minimize disturbance to the aircraft which carries the system. The final design for the sampling inlet is determined to be a design with diffuser outlet angle of 15 degree. This design was selected to keep stable for velocity and pressure, and have a less length.


2021 ◽  
pp. 859-867
Author(s):  
Thai Hien Nguyen ◽  
Ngoc An Dang Nguyen ◽  
Quoc Khai Le ◽  
Anh Tu Tran ◽  
Thanh Nha Nguyen ◽  
...  

2017 ◽  
Vol 139 (12) ◽  
Author(s):  
Nikhil Paliwal ◽  
Robert J. Damiano ◽  
Nicole A. Varble ◽  
Vincent M. Tutino ◽  
Zhongwang Dou ◽  
...  

Computational fluid dynamics (CFD) is a promising tool to aid in clinical diagnoses of cardiovascular diseases. However, it uses assumptions that simplify the complexities of the real cardiovascular flow. Due to high-stakes in the clinical setting, it is critical to calculate the effect of these assumptions in the CFD simulation results. However, existing CFD validation approaches do not quantify error in the simulation results due to the CFD solver’s modeling assumptions. Instead, they directly compare CFD simulation results against validation data. Thus, to quantify the accuracy of a CFD solver, we developed a validation methodology that calculates the CFD model error (arising from modeling assumptions). Our methodology identifies independent error sources in CFD and validation experiments, and calculates the model error by parsing out other sources of error inherent in simulation and experiments. To demonstrate the method, we simulated the flow field of a patient-specific intracranial aneurysm (IA) in the commercial CFD software star-ccm+. Particle image velocimetry (PIV) provided validation datasets for the flow field on two orthogonal planes. The average model error in the star-ccm+ solver was 5.63 ± 5.49% along the intersecting validation line of the orthogonal planes. Furthermore, we demonstrated that our validation method is superior to existing validation approaches by applying three representative existing validation techniques to our CFD and experimental dataset, and comparing the validation results. Our validation methodology offers a streamlined workflow to extract the “true” accuracy of a CFD solver.


2016 ◽  
Vol 138 (8) ◽  
Author(s):  
Gaurav Sharma ◽  
Sumana Ghosh ◽  
Srinibas Karmakar

In the present work, a computational fluid dynamic (CFD) simulation has been performed to investigate single and two-phase vortex tube. Air in compressed form and partially condensed phase are used as working fluid, respectively. Simulation has been carried out using commercial CFD software package fluent 6.3.26. A detailed study has been performed to generate the profiles of velocity, pressure, and pathlines. These profiles provide an insight on how the process of energy separation as well as the flow field in the vortex tube gets affected on introduction of a liquid phase. The result shows that in case of cryogenic vortex tube, the flow reversal takes place closer to wall due to presence of a very thin wall adhering liquid film, while, in single-phase flow vortex tube, flow reversal is observed at the central portion. The model also predicts that presence of recirculation zone near warm end diminishes the refrigeration effect of vortex tube for two-phase flow.


Sign in / Sign up

Export Citation Format

Share Document