Study of Gasketed-Plate Heat Exchanger performance based on energy efficiency indexes

Tabares, Juan Sebastián Rincón; Perdomo-Hurtado, Luis; Aragón, J. L.

doi:10.1016/j.applthermaleng.2019.113902

Cited by 9 publications

(6 citation statements)

References 33 publications

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“…: pressure drop di bagian shell (psi) f : faktor kekasaran (ft 2 /in 2 ) N+1 : jumlah crosses s : specific gravity  Tube (20) : pressure drop di bagian tube (psi) L : panjang tube (ft) n : jumlah tube pass (21) : additional pressure drop (psi) V : kecepatan alir fluida (ft/s) g'…”

Section: Metodologi Penelitianunclassified

Evaluasi Kinerja Alat Penukar Panas 11-E-107 Pada Unit Distilasi Minyak Mentah (Cdu)

Alhanif,

Frastia,

Kamil

et al. 2024

Distilat: J. Tekn. Sep

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Pemanasan awal pada unit distilasi minyak mentah (CDU) berfungsi menaikkan temperatur minyak mentah sebelum masuk ruang pembakaran (furnace) untuk mengurangi beban kerja dari furnace. Pemanasan awal dilakukan dengan bantuan alat penukar panas 11-E-107. Tujuan penelitian ini adalah melakukan evaluasi alat penukar panas 11-E-107 berdasarkan parameter faktor pengotor (fouling factor, Rd), penurunan tekanan (pressure drop, ∆P), dan efisiensi. Evaluasi dilakukan melalui pengumpulan data aktual berupa laju alir dan suhu fluida panas (atmospheric residue) dan fluida dingin (desalted crude oil) selama bulan Juni 2023. Analisis hasil perhitungan dilakukan dengan membandingkan antara hasil perhitungan (Rd, ∆P, dan efisiensi) terhadap data desain. Hasil penelitian menunjukkan bahwa nilai Rd dari data aktual berkisar antara 0,0006 – 0,0014 hr.ft2.oF/Btu, lebih kecil dibandingkan data desain. Hasil analisis penurunan tekanan (∆P) pada shell dan tube berada pada rentang 0,1046 – 0,1305 dan 0,1031 – 0,1352 psi, lebih kecil dibandingkan allowable pressure drop. Efisiensi dari alat penukar panas 11-E-107 berada di antara 87,60 - 91,30%. Secara keseluruhan, kinerja alat penukar panas 11-E-107 dalam kondisi yang baik. Perawatan berkala perlu dilakukan jika efisiensi alat penukar panas berada pada nilai kurang dari 80%.

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Section: Metodologi Penelitianunclassified

Evaluasi Kinerja Alat Penukar Panas 11-E-107 Pada Unit Distilasi Minyak Mentah (Cdu)

Alhanif,

Frastia,

Kamil

et al. 2024

Distilat: J. Tekn. Sep

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“…As a result, numerical models such as the finite element method (FEM), finite-difference methods, and boundary element methods are popular for solving transient heat transfer problems due to their flexibility and versatility. These numerical methods have been used to approximate the solution of the heat diffusion equation in large and complex problems such as the analysis of fractal piping design [34], phase change materials [35], enhanced surfaces [36], heat exchangers [37], heat sinks [38] and additive manufacturing [39,40], among others. In addition, these and other numerical techniques have been used to study the rate of change of temperature to time in crystallization [2,41], microstructural evolution [42], and superconducting devices [43].…”

Section: Introductionmentioning

confidence: 99%

Sensitivity Analysis for Transient Thermal Problems Using the Complex-Variable Finite Element Method

et al. 2022

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Solving transient heat transfer equations is required to understand the evolution of temperature and heat flux. This physics is highly dependent on the materials and environmental conditions. If these factors change with time and temperature, the process becomes nonlinear and numerical methods are required to predict the thermal response. Numerical tools are even more relevant when the number of parameters influencing the model is large, and it is necessary to isolate the most influential variables. In this regard, sensitivity analysis can be conducted to increase the process understanding and identify those variables. Here, we combine the complex-variable differentiation theory with the finite element formulation for transient heat transfer, allowing one to compute efficient and accurate first-order sensitivities. Although this approach takes advantage of complex algebra to calculate sensitivities, the method is implemented with real-variable solvers, facilitating the application within commercial software. We present this new methodology in a numerical example using the commercial software Abaqus. The calculation of sensitivities for the temperature and heat flux with respect to temperature-dependent material properties, boundary conditions, geometric parameters, and time are demonstrated. To highlight, the new sensitivity method showed step-size independence, mesh perturbation independence, and reduced computational time contrasting traditional sensitivity analysis methods such as finite differentiation.

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“…These irreversibilities should be reduced to increase engine performance. One of the ways leading to an increase in a system’s efficiency is an analysis and optimization of heat transfer processes [ 2 , 3 , 4 , 5 , 6 ].…”

Section: Introductionmentioning

confidence: 99%

“…Multiple models and correlations constitute another way of heat transfer coefficient evaluation [ 2 , 3 , 4 , 7 , 16 , 17 , 18 , 19 , 20 , 21 , 22 , 23 ]. Thermodynamic second law analysis of heat transfer surfaces can be found in [ 2 , 3 , 4 ]. Detailed data, experimental or theoretical, are necessary to perform such calculations.…”

Section: Introductionmentioning

confidence: 99%

Heat Transfer Performance in a Superheater of an Industrial CFBC Using Fuzzy Logic-Based Methods

Krzywański

2019

Entropy

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The heat transfer coefficient in the combustion chamber of industrial circulating flidized bed (CFB) boilers depends on many parameters as it is a result of multifactorial mechanisms proceeding in the furnace. Therefore, the development of an effective modeling tool, which allows for predicting the heat transfer coefficient is interesting as well as a timely subject, of high practical significance. The present paper deals with an innovative application of fuzzy logic-based (FL) method for the prediction of a heat transfer coefficient for superheaters of fluidized-bed boilers, especially circulating fluidized-bed combustors (CFBC). The approach deals with the modeling of heat transfer for the Omega Superheater, incorporated into the reaction chamber of an industrial 670 t/h CFBC. The height above the grid, bed temperature and voidage and temperature, gas velocity, and the boiler’s load constitute inputs. The developed Fuzzy Logic Heat (FLHeat) model predicts the local overall heat transfer coefficient of the Omega Superheater. The model is in good agreement with the measured data. The highest overall heat transfer coefficient is equal 220 W/(m2K) and can be achieved by the SH I superheater for the following inputs l = 20 m, tb = 900 °C, v = 0.95, u = 7 m/s, M-C-R = 100%. The proposed technique is an effective strategy and an option for other procedures of heat transfer coefficient evaluation.

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Study of Gasketed-Plate Heat Exchanger performance based on energy efficiency indexes

Cited by 9 publications

References 33 publications

Evaluasi Kinerja Alat Penukar Panas 11-E-107 Pada Unit Distilasi Minyak Mentah (Cdu)

Evaluasi Kinerja Alat Penukar Panas 11-E-107 Pada Unit Distilasi Minyak Mentah (Cdu)

Sensitivity Analysis for Transient Thermal Problems Using the Complex-Variable Finite Element Method

Heat Transfer Performance in a Superheater of an Industrial CFBC Using Fuzzy Logic-Based Methods

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